8x Daily NARR (qvflux.1981). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1981.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1981). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1981.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1982) [time][y][x]

8x Daily NARR (qvflux.1982). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1982.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1982). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1982.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1982). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1982.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1982). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1982.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1983) [time][y][x]

8x Daily NARR (qvflux.1983). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1983.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1983). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1983.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1983). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1983.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1983). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1983.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1984) [time][y][x]

8x Daily NARR (qvflux.1984). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1984.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1984). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1984.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1984). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1984.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1984). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1984.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1985) [time][y][x]

8x Daily NARR (qvflux.1985). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1985.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1985). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1985.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1985). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1985.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1985). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1985.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1986) [time][y][x]

8x Daily NARR (qvflux.1986). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1986.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1986). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1986.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1986). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1986.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1986). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1986.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1987) [time][y][x]

8x Daily NARR (qvflux.1987). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1987.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1987). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1987.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1987). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1987.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1987). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1987.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1988) [time][y][x]

8x Daily NARR (qvflux.1988). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1988.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1988). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1988.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1988). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1988.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1988). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1988.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1989) [time][y][x]

8x Daily NARR (qvflux.1989). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1989.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1989). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1989.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1989). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1989.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1989). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1989.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1990) [time][y][x]

8x Daily NARR (qvflux.1990). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1990.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1990). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1990.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1990). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1990.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1990). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1990.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1991) [time][y][x]

8x Daily NARR (qvflux.1991). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1991.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1991). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1991.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1991). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1991.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1991). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1991.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1992) [time][y][x]

8x Daily NARR (qvflux.1992). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1992.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1992). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1992.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1992). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1992.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1992). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1992.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1993) [time][y][x]

8x Daily NARR (qvflux.1993). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1993.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1993). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1993.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1993). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1993.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1993). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1993.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1994) [time][y][x]

8x Daily NARR (qvflux.1994). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1994.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1994). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1994.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1994). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1994.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1994). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1994.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1995) [time][y][x]

8x Daily NARR (qvflux.1995). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1995.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1995). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1995.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1995). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1995.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1995). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1995.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1996) [time][y][x]

8x Daily NARR (qvflux.1996). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1996.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1996). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1996.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1996). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1996.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1996). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1996.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1997) [time][y][x]

8x Daily NARR (qvflux.1997). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1997.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1997). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1997.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1997). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1997.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1997). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1997.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1998) [time][y][x]

8x Daily NARR (qvflux.1998). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1998.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1998). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1998.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1998). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1998.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1998). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1998.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1999) [time][y][x]

8x Daily NARR (qvflux.1999). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1999.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.1999). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1999.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.1999). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.1999.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.1999). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.1999.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2000) [time][y][x]

8x Daily NARR (qvflux.2000). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2000.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2000). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2000.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2000). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2000.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2000). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2000.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2001) [time][y][x]

8x Daily NARR (qvflux.2001). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2001.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2001). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2001.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2001). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2001.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2001). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2001.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2002) [time][y][x]

8x Daily NARR (qvflux.2002). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2002.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2002). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2002.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2002). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2002.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2002). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2002.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2003) [time][y][x]

8x Daily NARR (qvflux.2003). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2003.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2003). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2003.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2003). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2003.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2003). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2003.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2004) [time][y][x]

8x Daily NARR (qvflux.2004). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2004.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2004). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2004.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2004). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2004.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2004). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2004.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2005) [time][y][x]

8x Daily NARR (qvflux.2005). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2005.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2005). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2005.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2005). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2005.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2005). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2005.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2006) [time][y][x]

8x Daily NARR (qvflux.2006). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2006.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2006). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2006.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2006). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2006.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2006). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2006.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2007) [time][y][x]

8x Daily NARR (qvflux.2007). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2007.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2007). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2007.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2007). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2007.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2007). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2007.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2008) [time][y][x]

8x Daily NARR (qvflux.2008). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2008.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2008). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2008.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2008). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2008.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2008). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2008.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2009) [time][y][x]

8x Daily NARR (qvflux.2009). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2009.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2009). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2009.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2009). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2009.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2009). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2009.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2010) [time][y][x]

8x Daily NARR (qvflux.2010). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2010.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2010). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2010.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2010). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2010.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2010). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2010.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2011) [time][y][x]

8x Daily NARR (qvflux.2011). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2011.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2011). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2011.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2011). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2011.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2011). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2011.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2012) [time][y][x]

8x Daily NARR (qvflux.2012). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2012.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2012). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2012.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2012). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2012.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2012). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2012.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2013) [time][y][x]

8x Daily NARR (qvflux.2013). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2013.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2013). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2013.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2013). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2013.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2014) [time][y][x]

8x Daily NARR (qvflux.2014). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2014.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2014). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2014.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2014). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2014.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2014). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2014.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2015) [time][y][x]

8x Daily NARR (qvflux.2015). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2015.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2015). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2015.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2015). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2015.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2015). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2015.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2016) [time][y][x]

8x Daily NARR (qvflux.2016). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2016.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (3-hourly Upward Shortwave Radiation Flux at Surface, kg/m^2)


8x Daily NARR (qvflux.2016). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/8timesdaily/qvflux.2016.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2017) [time][y][x]

8x Daily NARR (qvflux.2017). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2017.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2017). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2017.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2018) [time][y][x]

8x Daily NARR (qvflux.2018). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2018.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2018). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2018.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NARR (qvflux.2019) [time][y][x]

8x Daily NARR (qvflux.2019). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2019.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2)


8x Daily NARR (qvflux.2019). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2019.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


8x Daily NOAA/CIRES/DOE 20th Century Reanalysis V3 (hgt.sfc), 1.0°, 1836

8x Daily NOAA/CIRES/Department of Energy (DOE) 20th Century Reanalysis V3. Data are from
NOAA/CIRES/DOE 20th Century Reanalysis version 3
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model hybrid (sigma/pressure) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hgt (Geopotential Height at Surface, m)


8x Daily NOAA/CIRES/DOE 20th Century Reanalysis V3 (hgt.sfc), 1.0°, 1981


8x Daily NOAA/CIRES/DOE 20th Century Reanalysis V3 (hgt.sfc.sflx), 1.0°, 1836


8x Daily NOAA/CIRES/DOE 20th Century Reanalysis V3 (land), 1.0°, 1836

8x Daily NOAA/CIRES/Department of Energy (DOE) 20th Century Reanalysis V3. Data are from
NOAA/CIRES/DOE 20th Century Reanalysis version 3
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model hybrid (sigma/pressure) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
land (time-invariant Land-sea Mask Gaussian Grid, frac.)


8x Daily NOAA/CIRES/DOE 20th Century Reanalysis V3 (land), 1.0°, 1981


8x Daily NOAA/CIRES/DOE 20th Century Reanalysis V3 (land.sflx), 1.0°, 1836


8x Daily NOAA/CIRES/DOE 20th Century Reanalysis V3 (sfcslopetype), 1.0°, 1836

8x Daily NOAA/CIRES/Department of Energy (DOE) 20th Century Reanalysis V3. Data are from
NOAA/CIRES/DOE 20th Century Reanalysis version 3
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model hybrid (sigma/pressure) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sfcslopetype (time-invariant surface slope type, frac.)


8x Daily NOAA/CIRES/DOE 20th Century Reanalysis V3 (soiltype), 1.0°, 1836

8x Daily NOAA/CIRES/Department of Energy (DOE) 20th Century Reanalysis V3. Data are from
NOAA/CIRES/DOE 20th Century Reanalysis version 3
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model hybrid (sigma/pressure) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
soiltype (time-invariant soil type (Zobler) Gaussian Grid, frac.)


8x Daily NOAA/CIRES/DOE 20th Century Reanalysis V3 (vegtype), 1.0°, 1836

8x Daily NOAA/CIRES/Department of Energy (DOE) 20th Century Reanalysis V3. Data are from
NOAA/CIRES/DOE 20th Century Reanalysis version 3
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model hybrid (sigma/pressure) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vegtype (time-invariant vegetation type (as in SiB) Gaussian Grid, frac.)


acpcp.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (acpcp.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/acpcp.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
acpcp (Monthly Long Term Mean accumulated convective precipitation at Surface, kg/m^2)
valid_yr_count (count of non-missing values used in mean)


Monthly NARR (acpcp.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/acpcp.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


Adak, Alaska Coastal Digital Elevation Model (adak 1 mhw 2009), 2.7777778E-4°

Adak, Alaska Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/258; Adak, AK 1 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Adak, Alaska Tsunami Forecast Grids for MOST Model (AdakAK A)

Adak, Alaska Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
bathy (Grid Bathymetry, meters)

NOAA OAR PMEL Center for Tsunami Research


Adak, Alaska Tsunami Forecast Grids for MOST Model (AdakAK B)


Adak, Alaska Tsunami Forecast Grids for MOST Model (AdakAK C)


air.2m.day.ltm (8x Daily NARR) [time][y][x], 0001

8x Daily NARR (air.2m.day.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
air (Daily Air Temperature at 2 m, K)


8x Daily NARR (air.2m.day.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)


air.2m.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (air.2m.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/air.2m.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
air (Monthly Long Term Mean Air Temperature at 2 m, K)


Monthly NARR (air.2m.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/air.2m.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (air.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/enh/LTMs1950-1979/air.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Air Temperature Monthly Long Term Mean at Surface, degree_C)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (air.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/enh/LTMs1950-1979/air.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Air Temperature Monthly Long Term Mean at Surface, degree_C)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (air.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/enh/LTMs1950-1979/air.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Air Temperature Monthly Long Term Mean at Surface, degree_C)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (air.ltm). NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads2.5/2degree/LTMs1950-1979/air.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Air Temperature Monthly Long Term Mean at Surface, degree_C)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (air.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/coads/2degree/LTMs1950-1979/air.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Air Temperature Monthly Long Term Mean at Surface, degree_C)


Comprehensive Ocean Atmosphere Data Set 1 (COADS1) (air.ltm). NOAA International Comprehensive Ocean Atmosphere Data Set (ICOADS) data from https://psl.noaa.gov/thredds/dodsC/Datasets/icoads/2degree/LTMs1950-1979/air.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Air Temperature Monthly Long Term Mean at Surface, degree_C)


air.mon.ltm.1981-2010 (JMA Air Temperature), 5.0°, 0001

Japanese Meteorological Agency (JMA) Air Temperature (air.mon.ltm.1981-2010)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Long Term Mean Surface Air Temperature and SST Monthly Anomaly, degree_C)
valid_yr_count (count of non-missing values used in mean)


air.sfc.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (air.sfc.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
air (Long Term Monthly Mean air temperature at Surface, degK)

National Centers for Environmental Prediction


Monthly NARR (air.sfc.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


Akhiok, Alaska 8/15 sec Coastal Digital Elevation Model (akhiok ak 815 mhhw 2019), 1.4814814E-4°

Akhiok, Alaska 8/15 sec Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
z (Topography, m)


Akutan, Alaska Coastal Digital Elevation Model (akutan 8 mhhw 2009), 0.0022222223°

Akutan, Alaska Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/538; Akutan, AK 8 arc-second MHHW DEM; Download page for accessing DEM, metadata record and development report.; download


Akutan, Alaska Coastal Digital Elevation Model (akutan 815 mhhw 2009), 1.4814814E-4°

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/737; Akutan, AK 8/15 arc-second MHHW DEM; Download page for accessing DEM, metadata record, and development report.; download


Akutan, Alaska Coastal Digital Elevation Model (akutan 83 mhhw 2009), 7.4074074E-4°

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/536; Akutan, AK 8/3 arc-second MHHW DEM; Download page for accessing DEM, metadata record and development report; download


albedo.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (albedo.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/albedo.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
albedo (Long Term Monthly Mean albedo at Surface, percent)


Monthly NARR (albedo.mon.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/albedo.mon.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
Band1 (GDAL Band Number 1)


AMSR-2 daily products (RSS AMSR2), 0.25°, 2017-present

Advanced Microwave Scanning Radiometer on Japan Aerospace Exploration Agency (JAXA)'s GCOM-W1 (AMSR-2) daily products. The daily files consist of over-ocean measurements (geophysical retrievals or parameters) mapped to a regular 0.25-degree grid complete with data gaps between orbits. Two maps exist for each parameter, one of ascending orbit segments and the other of descending orbit segments. Data on each of the segment maps are averaged where successive orbits cross and are overwritten at the seam or region where the last orbit of the day overlaps the first orbit of the day. Daily data files contain time maps consisting of the UTC observation time for each set of passes (ascending and descending).n Gridded data are organized according to observation date. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Time_Ascending (Decimal Hour of the Day, Ascending Passes, hour)
AMSR2_SST_Ascending (AMSR-2 Sea Surface Temperature, Ascending Passes, degree_C)
WSPD_LF_Ascending (Surface Wind Speed, Low Frequency, Ascending Passes, m s-1)
WSPD_MF_Ascending (Surface Wind Speed, Medium Frequency, Ascending Passes, m s-1)
Water_Vapor_Ascending (Atmospheric Water Vapor, Ascending Passes, mm)
Cloud_LW_Ascending (Cloud Liquid Water, Ascending Passes, kg m-2)
Rain_Rate_Ascending (Rain Rate, Ascending Passes, MM' 'Hr-1)
Time_Descending (Decimal Hour of the Day, Descending Passes, hour)
AMSR2_SST_Descending (AMSR-2 Sea Surface Temperature, Descending Passes, degree_C)
WSPD_LF_Descending (Surface Wind Speed, Low Frequency, Descending Passes, m s-1)
WSPD_MF_Descending (Surface Wind Speed, Medium Frequency, Descending Passes, m s-1)
Water_Vapor_Descending (Atmospheric Water Vapor, Descending Passes, mm)
Cloud_LW_Descending (Cloud Liquid Water, Descending Passes, kg m-2)
Rain_Rate_Descending (Rain Rate, Descending Passes, MM' 'Hr-1)


apcp.day.ltm (Daily NARR) [time][y][x], 0001

Daily NARR (apcp.day.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/apcp.day.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
apcp (Daily long term mean accumulated total precipitation at Surface, kg/m^2)


Daily NARR (apcp.day.ltm). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/monolevel/apcp.day.ltm.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
lat (latitude coordinate, degrees_north)
lon (longitude coordinate, degrees_east)


Apr longterm mean diurnal cycle air temperature from the NCEP Reanalysis (airapr.mon.dailyanom), 2.5°, 0001

Apr longterm mean diurnal cycle air temperature from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data from NCEP initialized reanalysis (4x/day).  These are interpolated to pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
air (Diurnal Cycle Anomaly of Air Temperature for April, degree_C)


Apr longterm mean diurnal cycle geopotential height from the NCEP Reanalysis, 2.5°, 0001

Data from National Centers for Environmental Prediction (NCEP) initialized reanalysis (4x/day).  These are interpolated to pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
hgt (Diurnal Cycle Anomaly of Geopotential Height for April, m)


Apra Harbor, Guam Tsunami Forecast Grids for MOST Model (ApraHarborGuam A), 0.01°

Apra Harbor, Guam Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
bathy (Grid Bathymetry, meters)

NOAA OAR PMEL Center for Tsunami Research


Apra Harbor, Guam Tsunami Forecast Grids for MOST Model (ApraHarborGuam B), 0.0033333334°


Apra Harbor, Guam Tsunami Forecast Grids for MOST Model (ApraHarborGuam C), 8.3333335E-4°


Arecibo, Puerto Rico Coastal Digital Elevation Model (arecibo 13 mhw 2007), 9.259259E-5°

Arecibo, Puerto Rico Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/393; Arecibo, PR 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Arecibo, Puerto Rico Tsunami Forecast Grids for MOST Model (AreciboPR A)

Arecibo, Puerto Rico Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
bathy (Grid Bathymetry, meters)


Arecibo, Puerto Rico Tsunami Forecast Grids for MOST Model (AreciboPR B)


Arecibo, Puerto Rico Tsunami Forecast Grids for MOST Model (AreciboPR C), 5.5555557E-4°


Arena Cove, California Coastal Digital Elevation Model (arena cove 13 mhw 2009), 9.259259E-5°

Arena Cove, California Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/669; Arena Cove, CA 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Arena Cove, California Tsunami Forecast Grids for MOST Model (ArenaCoveCA A)

Arena Cove, California Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
bathy (Grid Bathymetry, meters)


Arena Cove, California Tsunami Forecast Grids for MOST Model (ArenaCoveCA B)


Arena Cove, California Tsunami Forecast Grids for MOST Model (ArenaCoveCA C)

NOAA OAR PMEL Center for Tsunami Research


ARGO: Last 10-day locations (argo last3d) [profile]

Array for Real-time Geostrophic Oceanography (ARGO): Last 10-day locations. ARGO profile location information provided by Physical Oceanography Division (PhOD)/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES (all of which use the dimensions [profile]):
profile_time (Time, seconds since 1970-01-01T00:00:00Z)
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)


Underway ship data provided by OCED/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

cdm_data_type = Point
VARIABLES (all of which use the dimensions [time][obs]):
vwnd (ASCAT Metop-B Zonal Wind, m/s)
uwnd (ASCAT Metop-B Zonal Wind, m/s)
lat (Latitude, degrees_north)
lon (Longitude, degrees_east)
hourobs (Decimal Hour of the Day, Ascending Passes, hours)


Astoria OR 1/3 sec Coastal Digital Elevation Model vers 3 (astoria 13 mhw 2012), 9.259259E-5°

Astoria OR 1/3 sec Coastal Digital Elevation Model vers 3. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1)


National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
Band1 (GDAL Band Number 1)


Atka, Alaska Coastal Digital Elevation Model (atka 1 mhw 2010), 2.7777778E-4°

Atka, Alaska Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/252; Atka, AK 1 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Atka, Alaska Tsunami Forecast Grids for MOST Model (AtkaAK A)

Atka, Alaska Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
bathy (Grid Bathymetry, meters)


Atka, Alaska Tsunami Forecast Grids for MOST Model (AtkaAK B)


Atka, Alaska Tsunami Forecast Grids for MOST Model (AtkaAK C)


Atlantic City, New Jersey Coastal Digital Elevation Model (atlantic city 13 mhw 2007), 9.259259E-5°

Atlantic City, New Jersey Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/595; Atlantic City, NJ 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Atlantic City, New Jersey Tsunami Forecast Grids for MOST Model (AtlanticCityNJ A)

Atlantic City, New Jersey Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
bathy (Grid Bathymetry, meters)

NOAA OAR PMEL Center for Tsunami Research


Atlantic City, New Jersey Tsunami Forecast Grids for MOST Model (AtlanticCityNJ B)


Atlantic City, New Jersey Tsunami Forecast Grids for MOST Model (AtlanticCityNJ C)


Audio data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][elapsedTime]):
channel_1


AVHRR Pathfinder Version 5.3 L3-Collated (L3C) SST, Global, 0.0417°, 1981-present, Daytime (1 Day Composite)

Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Version 5.3 L3-Collated (L3C) sea surface temperature. This netCDF-4 file contains sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. These data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the Global High-Resolution Sea Surface Temperature (GHRSST) Data Specifications V2.0 (GDS2). The sses_bias and sses_standard_deviation variables are empty. Full compliance with GDS2 specifications will be achieved in the future Pathfinder Version 6. These data were created by the NOAA National Centers for Environmental Information (NCEI).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of sea surface skin temperature, degree_C)
dt_analysis (deviation from last SST analysis, degree_C)
wind_speed (10m wind speed, m s-1)
sea_ice_fraction (%)
quality_level (quality level of SST pixel, 1)
pathfinder_quality_level (Pathfinder SST quality flag, 1)
l2p_flags (1)


AVHRR Pathfinder Version 5.3 L3-Collated (L3C) SST, Global, 0.0417°, 1981-present, Daytime (1 Day Composite), Lon0360


AVHRR Pathfinder Version 5.3 L3-Collated (L3C) SST, Global, 0.0417°, 1981-present, Nighttime (1 Day Composite)


AVHRR Pathfinder Version 5.3 L3-Collated (L3C) SST, Global, 0.0417°, 1981-present, Nighttime (1 Day Composite), Lon0360


Bar Harbor (N036) Bathymetric Digital Elevation Model (bar harbor N036 2018), 9.259259E-5°

Bar Harbor (N036) Bathymetric Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)


Bar Harbor, Maine Coastal Digital Elevation Model (bar harbor 13 mhw 2011), 9.259259E-5°

Bar Harbor, Maine Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/592; Bar Harbor, ME 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Bar Harbor, Maine Coastal Digital Elevation Model (bar harbor 13 navd88 2011), 9.259259E-5°

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/3302; Bar Harbor, ME 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Bar Harbor, ME Tsunami Forecast Grids for MOST Model (BarHarborME A)

Bar Harbor, ME Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
bathy (Grid Bathymetry, meters)

NOAA OAR PMEL Center for Tsunami Research


Bar Harbor, ME Tsunami Forecast Grids for MOST Model (BarHarborME B)


Bar Harbor, ME Tsunami Forecast Grids for MOST Model (BarHarborME C)


Barataria Bay (G200) Bathymetric Digital Elevation Model (barataria bay G200 2018), 9.259259E-5°

Barataria Bay (G200) Bathymetric Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)


barkley sound 1 navd88 2016 (GDAL Band Number 1), 2.7777778E-4°

GDAL Band Number 1. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1)


National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
Band1 (GDAL Band Number 1)


Bermuda 1 arc-second Coastal Digital Elevation Model (bermuda 1 msl 2013), 2.77778E-4°

Bermuda 1 arc-second Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; 303-497-6826; 303-497-6513; 325 Broadway; Boulder; CO; 80305-3328; USA; ngdc.info@noaa.gov; custodian; DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; 303-497-6826; 303-497-6513; 325 Broadway; Boulder; CO; 80305-3328; USA; ngdc.info@noaa.gov; originator; NOAA NGDC, NESDIS, NOAA; originator


Bermuda 3 arc-second Coastal Digital Elevation Model (bermuda 3 msl 2013), 8.33333E-4°

Bermuda 3 arc-second Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Band1 (GDAL Band Number 1, meters)


Bermuda Tsunami Forecast Grids for MOST Model (Bermuda A)

Bermuda Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
bathy (Grid Bathymetry, meters)


Bermuda Tsunami Forecast Grids for MOST Model (Bermuda B)


Bermuda Tsunami Forecast Grids for MOST Model (Bermuda C)

NOAA OAR PMEL Center for Tsunami Research


Best NAM Hawaii Time Series [time], 2021-present

Single time dimension: for each forecast time, use GRIB record with smallest offset from reference time

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time]):
reftime (GRIB reference time, seconds since 1970-01-01T00:00:00Z)


Best NAM Hawaii Time Series [time][altitude_above_msl][y][x], 2021-present

Single time dimension: for each forecast time, use GRIB record with smallest offset from reference time

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][y][x]):
Temperature_altitude_above_msl (Temperature @ Specific altitude above mean sea level, K)
u_component_of_wind_altitude_above_msl (u-component of wind @ Specific altitude above mean sea level, m/s)
v_component_of_wind_altitude_above_msl (v-component of wind @ Specific altitude above mean sea level, m/s)


Best NAM Hawaii Time Series [time][depth_below_surface][y][x], 2021-present

Single time dimension: for each forecast time, use GRIB record with smallest offset from reference time

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][y][x]):
Soil_temperature_depth_below_surface (Soil temperature @ Depth below land surface, K)


Best NAM Hawaii Time Series [time][depth_below_surface_layer2][y][x], 2021-present

Single time dimension: for each forecast time, use GRIB record with smallest offset from reference time

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][y][x]):
Moisture_Availability_depth_below_surface_layer (Moisture Availability @ Depth below land surface layer, percent)


Best NAM Hawaii Time Series [time][hybrid1][y][x], 2021-present

Single time dimension: for each forecast time, use GRIB record with smallest offset from reference time

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][hybrid1][y][x]):
u_component_of_wind_hybrid (u-component of wind @ Hybrid level, m/s)
v_component_of_wind_hybrid (v-component of wind @ Hybrid level, m/s)
Turbulent_kinetic_energy_hybrid (Turbulent kinetic energy @ Hybrid level, J/kg)


Best NAM Hawaii Time Series [time][hybrid][y][x], 2021-present

Single time dimension: for each forecast time, use GRIB record with smallest offset from reference time

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][hybrid][y][x]):
Total_Condensate_hybrid (Total Condensate @ Hybrid level, kg.kg-1)
Reflectivity_hybrid (Reflectivity @ Hybrid level, dB)
Cloud_mixing_ratio_hybrid (Cloud mixing ratio @ Hybrid level, kg/kg)
Rain_mixing_ratio_hybrid (Rain mixing ratio @ Hybrid level, kg/kg)
Snow_mixing_ratio_hybrid (Snow mixing ratio @ Hybrid level, kg/kg)
Cloud_ice_hybrid (Cloud ice @ Hybrid level, kg.m-2)
Pressure_hybrid (Pressure @ Hybrid level, Pa)
Specific_humidity_hybrid (Specific humidity @ Hybrid level, kg/kg)
Temperature_hybrid (Temperature @ Hybrid level, K)
Relative_humidity_hybrid (Relative humidity @ Hybrid level, percent)
Geopotential_height_hybrid (Geopotential height @ Hybrid level, gpm)
Vertical_velocity_pressure_hybrid (Vertical velocity (pressure) @ Hybrid level, Pa/s)
Blackadars_Mixing_Length_Scale_hybrid (Blackadars Mixing Length Scale @ Hybrid level, m)
Rime_Factor_hybrid (Rime Factor @ Hybrid level, non-dim)


Best NAM Hawaii Time Series [time][isobaric2][y][x], 2021-present

Single time dimension: for each forecast time, use GRIB record with smallest offset from reference time

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][isobaric2][y][x]):
Specific_humidity_isobaric (Specific humidity @ Isobaric surface, kg/kg)
Temperature_isobaric (Temperature @ Isobaric surface, K)
Relative_humidity_isobaric (Relative humidity @ Isobaric surface, percent)
u_component_of_wind_isobaric (u-component of wind @ Isobaric surface, m/s)
v_component_of_wind_isobaric (v-component of wind @ Isobaric surface, m/s)
Geopotential_height_isobaric (Geopotential height @ Isobaric surface, gpm)
Vertical_velocity_pressure_isobaric (Vertical velocity (pressure) @ Isobaric surface, Pa/s)
Vertical_velocity_geometric_isobaric (Vertical velocity (geometric) @ Isobaric surface, m/s)


Best NAM Hawaii Time Series [time][pressure_difference_layer1][y][x], 2021-present

Single time dimension: for each forecast time, use GRIB record with smallest offset from reference time

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][pressure_difference_layer1][y][x]):
Best_4_layer_Lifted_Index_pressure_difference_layer (Best (4 layer) Lifted Index @ Level at specified pressure difference from ground to level layer, K)


Best NAM Hawaii Time Series [time][pressure_difference_layer3][y][x], 2021-present

Single time dimension: for each forecast time, use GRIB record with smallest offset from reference time

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][pressure_difference_layer3][y][x]):
Pressure_of_level_from_which_parcel_was_lifted_pressure_difference_layer (Pressure of level from which parcel was lifted @ Level at specified pressure difference from ground to level layer, Pa)


Best NAM Hawaii Time Series [time][pressure_difference_layer4][y][x], 2021-present

Single time dimension: for each forecast time, use GRIB record with smallest offset from reference time

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][pressure_difference_layer4][y][x]):
Parcel_lifted_index_to_500_hPa_pressure_difference_layer (Parcel lifted index (to 500 hPa) @ Level at specified pressure difference from ground to level layer, K)
Potential_temperature_pressure_difference_layer (Potential temperature @ Level at specified pressure difference from ground to level layer, K)
Precipitable_water_pressure_difference_layer (Precipitable water @ Level at specified pressure difference from ground to level layer, kg.m-2)
Dewpoint_temperature_pressure_difference_layer (Dewpoint temperature @ Level at specified pressure difference from ground to level layer, K)
Horizontal_Moisture_Divergence_pressure_difference_layer (Horizontal Moisture Divergence @ Level at specified pressure difference from ground to level layer, kg.kg-1.s-1)