La Push, Washington Coastal Digital Elevation Model (la push 13 mhw 2007), 9.259259E-5°

La Push, Washington 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/247; La Push, WA 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


La Push, Washington Tsunami Forecast Grids for MOST Model (LaPushWA A)

La Push, Washington 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


La Push, Washington Tsunami Forecast Grids for MOST Model (LaPushWA B), 0.005°


La Push, Washington Tsunami Forecast Grids for MOST Model (LaPushWA C)


Lahaina, Hawaii Coastal Digital Elevation Model (lahaina 13 mhw 2007), 9.259259E-5°

Lahaina, Hawaii 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/239; Lahaina, HI 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


Lahaina, Hawaii Tsunami Forecast Grids for MOST Model (LahainaHI A), 0.033333335°

Lahaina, Hawaii 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)


Lahaina, Hawaii Tsunami Forecast Grids for MOST Model (LahainaHI B), 0.0033333334°


Lahaina, Hawaii Tsunami Forecast Grids for MOST Model (LahainaHI C)


land mask for 144x73 NCEP Reanalysis I dataset (lsmask.14473), 2.5°, 0001

land mask for 144x73 National Centers for Environmental Prediction (NCEP) Reanalysis I dataset. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lsmask (Surface land/sea mask)


landmask 2deg. NOAA PSL data from https://psl.noaa.gov/thredds/dodsC/Datasets/gistemp/landmask_2deg.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
lfrac (Land fraction, 1)


larsen bay 815 mhhw 2016 (GDAL Band Number 1), 1.4814814E-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)


LatLon 102X162 (Center 40.5832N 72.7394W)

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


LatLon 102X162 (Center 40.5832N 72.7394W)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Current_direction_surface (Current direction @ Ground or water surface, degree_true)
Wind_direction_from_which_blowing_surface (Wind direction (from which blowing) @ Ground or water surface, degree_true)
Current_speed_surface (Current speed @ Ground or water surface, m/s)
Deviation_of_sea_level_from_mean_surface (Deviation of sea level from mean @ Ground or water surface, m)
Wind_speed_surface (Wind speed @ Ground or water surface, m/s)
Significant_height_of_combined_wind_waves_and_swell_surface (Significant height of combined wind waves and swell @ Ground or water surface, m)
Significant_height_of_swell_waves_surface (Significant height of swell waves @ Ground or water surface, m)
Primary_wave_direction_surface (Primary wave direction @ Ground or water surface, degree_true)
Primary_wave_mean_period_surface (Primary wave mean period @ Ground or water surface, s)


LatLon 204X131 (Center 30.3581N 80.4908W)

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


LatLon 204X131 (Center 30.3581N 80.4908W)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Current_direction_surface (Current direction @ Ground or water surface, degree_true)
Wind_direction_from_which_blowing_surface (Wind direction (from which blowing) @ Ground or water surface, degree_true)
Current_speed_surface (Current speed @ Ground or water surface, m/s)
Deviation_of_sea_level_from_mean_surface (Deviation of sea level from mean @ Ground or water surface, m)
Wind_speed_surface (Wind speed @ Ground or water surface, m/s)
Significant_height_of_combined_wind_waves_and_swell_surface (Significant height of combined wind waves and swell @ Ground or water surface, m)
Significant_height_of_swell_waves_surface (Significant height of swell waves @ Ground or water surface, m)
Primary_wave_direction_surface (Primary wave direction @ Ground or water surface, degree_true)
Primary_wave_mean_period_surface (Primary wave mean period @ Ground or water surface, s)


LatLon 229X153 (Center 37.6581N 75.7649W)

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


LatLon 229X153 (Center 37.6581N 75.7649W)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Current_direction_surface (Current direction @ Ground or water surface, degree_true)
Wind_direction_from_which_blowing_surface (Wind direction (from which blowing) @ Ground or water surface, degree_true)
Current_speed_surface (Current speed @ Ground or water surface, m/s)
Deviation_of_sea_level_from_mean_surface (Deviation of sea level from mean @ Ground or water surface, m)
Wind_speed_surface (Wind speed @ Ground or water surface, m/s)
Significant_height_of_combined_wind_waves_and_swell_surface (Significant height of combined wind waves and swell @ Ground or water surface, m)
Significant_height_of_swell_waves_surface (Significant height of swell waves @ Ground or water surface, m)
Primary_wave_direction_surface (Primary wave direction @ Ground or water surface, degree_true)
Primary_wave_mean_period_surface (Primary wave mean period @ Ground or water surface, s)


lesser antilles 3 isl 2018 (GDAL Band Number 1), 8.3333335E-4°


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lflx (Latent Heat Parameter Monthly Long Term Mean at Surface, grams/kg m/s)


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lflx (Latent Heat Parameter Monthly Long Term Mean at Surface, grams/kg m/s)


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lflx (Latent Heat Parameter Monthly Long Term Mean at Surface, grams/kg m/s)


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lflx (Latent Heat Parameter Monthly Long Term Mean at Surface, grams/kg m/s)


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lflx (Latent Heat Parameter Monthly Long Term Mean at Surface, grams/kg m/s)


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lflx (Latent Heat Parameter Monthly Long Term Mean at Surface, grams/kg m/s)


lftx4.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR. Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
lftx4 (Long Term Monthly Mean Best (4-layer) Lifted Index, degK)

National Centers for Environmental Prediction


Monthly NARR. Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

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


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

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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
lhtfl (Long Term Monthly Mean Latent Heat Flux at Surface, W/m^2)


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


lhtfl.sfc.mon.1981-2010.ltm (4x daily NMC reanalysis), 0001

4x daily National Meteorological Center (NMC) reanalysis. Data is from NMC initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lhtfl (Monthly Long Term Mean of Latent Heat Net Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


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)


Los Angeles, California Tsunami Forecast Grids for MOST Model (LosAngelesCA A)

Los Angeles, 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)

NOAA OAR PMEL Center for Tsunami Research


Los Angeles, California Tsunami Forecast Grids for MOST Model (LosAngelesCA B)


Los Angeles, California Tsunami Forecast Grids for MOST Model (LosAngelesCA C)


Main Hawaiian Islands Multibeam Bathymetry Synthesis: 1-km Bathymetry and Topography

A 50-m resolution gridded synthesis of all available bathymetry (ocean depth) data for the main Hawaiian Islands, from the Hawaii Mapping Research Group (HMRG) in the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaii at Manoa. Includes ship-borne multibeam sonar surveys as well as the Smith and Sandwell measured and estimated global seafloor topography. Land topography from USGS DEMs are included in the grid as well.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
z (bathymetry and topography, meters)


Main Hawaiian Islands Multibeam Bathymetry Synthesis: 50-m Bathymetry

A 50-m resolution gridded synthesis of all available bathymetry (ocean depth) data for the main Hawaiian Islands, including ship-borne multibeam sonar surveys, from the Hawaii Mapping Research Group (HMRG) in the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaii at Manoa. For a grayscale hillshade image layer of this dataset, see "hi_hmrg_all_bathy50m_hillshade" in the distribution links listed in the metadata.

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


Main Hawaiian Islands Multibeam Bathymetry Synthesis: 50-m Bathymetry and Topography

A 50-m resolution gridded synthesis of all available bathymetry (ocean depth) data for the main Hawaiian Islands, including ship-borne multibeam sonar surveys, from the Hawaii Mapping Research Group (HMRG) in the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaii at Manoa. Land topography from USGS DEMs are included in the grid as well. For a grayscale hillshade image layer of this dataset's bathymetry, see "hi_hmrg_all_bathy50m_hillshade" in the distribution links listed in the metadata.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
z (bathymetry and topography, meters)


mariana trench 6 msl 2012 (GDAL Band Number 1), 0.0016666667°

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)


marquesas islands 3 isl 2017 (GDAL Band Number 1), 8.333333E-4°


Mayaguez, Puerto Rico Coastal Digital Elevation Model (mayaguez 13 mhw 2006), 9.259259E-5°

Mayaguez, 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/397; Mayaguez, 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


Mayaguez, Puerto Rico Coastal Digital Elevation Model (mayaguez 13 mhw 2007), 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/1541; Mayaguez, PR 1/3 arc-second Tsunami Inundation DEM, version 2; 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


Mayaguez, Puerto Rico Tsunami Forecast Grids for MOST Model (MayaguezPR A)

Mayaguez, 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)

NOAA OAR PMEL Center for Tsunami Research


Mayaguez, Puerto Rico Tsunami Forecast Grids for MOST Model (MayaguezPR B)


Mayaguez, Puerto Rico Tsunami Forecast Grids for MOST Model (MayaguezPR C)


mconv.hl1.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (mconv.hl1.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
mconv (Long Term Monthly Mean Horizontal Moisture Divergence, kg/kg/s)

National Centers for Environmental Prediction


Monthly NARR (mconv.hl1.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)


mean daily NMC reanalysis (1958) (air.2m.mon.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1958). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

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


mean daily NMC reanalysis (1958) (air.2m.mon.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1958). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

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


mean daily NMC reanalysis (1981) (air.2m.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (mean Long Term Mean Daily Air temperature at 2 m, degK)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (air.2m.day.ltm), 0001


mean daily NMC reanalysis (1981) (cfnlf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
cfnlf (mean Long Term Mean Daily Cloud Forcing Net Longwave Flux at Surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (cfnlf.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
cfnlf (Long Term Mean Monthly Mean of Cloud Forcing Net Longwave Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (cfnsf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
cfnsf (mean Long Term Mean Daily Cloud Forcing Net Solar Flux at Surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (cprat.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
cprat (mean Long Term Mean Daily Convective Precipitation Rate at surface, Kg/m^2/s)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (cprat.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
cprat (mean Long Term Mean Daily Convective Precipitation Rate, Kg/m^2/s)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (csdlf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csdlf (mean Long Term Mean Daily Clear Sky Downward Longwave Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (csdlf.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csdlf (mean Long Term Mean Daily Clear Sky Downward Longwave Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (csdsf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csdsf (mean Long Term Mean Daily Clear Sky Downward Solar Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (csusf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csusf (mean Long Term Mean Daily Clear Sky Upward Solar Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (csusf.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csusf (mean Long Term Mean Daily Clear Sky Upward Solar Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (dlwrf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dlwrf (mean Long Term Mean Daily Downward Longwave Radiation Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (dlwrf.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dlwrf (mean Long Term Mean Daily Downward Longwave Radiation Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (dswrf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dswrf (mean Long Term Mean Daily Downward Solar Radiation Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (dswrf.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dswrf (mean Long Term Mean Daily Downward Solar Radiation Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (gflux.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
gflux (mean Long Term Mean Daily Ground Heat Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (gflux.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
gflux (mean Long Term Mean Daily Ground Heat Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (icec.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icec (mean Long Term Mean Daily Ice Concentration at surface)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (icec.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
icec (mean Long Term Mean Daily Ice Concentration)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (lhtfl.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lhtfl (mean Long Term Mean Daily Latent Heat Net Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (lhtfl.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lhtfl (mean Long Term Mean Daily Latent Heat Net Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (nbdsf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
nbdsf (mean Long Term Mean Daily Near IR Beam Downward Solar Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (nbdsf.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
nbdsf (mean Long Term Mean Daily Near IR Beam Downward Solar Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (nddsf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
nddsf (mean Long Term Mean Daily Near IR Diffuse Downward Solar Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (nddsf.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
nddsf (mean Long Term Mean Daily Near IR Diffuse Downward Solar Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (nlwrs.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
nlwrs (mean Long Term Mean Daily Net Longwave Radiation Flux at Surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (nlwrs.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
nlwrs (mean Long Term Mean Daily Net Longwave Radiation Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (nswrs.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
nswrs (mean Long Term Mean Daily Net Shortwave Radiation Flux at Surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (nswrs.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
nswrs (mean Long Term Mean Daily Net Shortwave Radiation Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (pevpr.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pevpr (mean Long Term Mean Daily Potential Evaporation Rate at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (pevpr.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pevpr (mean Long Term Mean Daily Potential Evaporation Rate, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (prate.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
prate (mean Long Term Mean Daily Precipitation Rate, Kg/m^2/s)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (prate.sfc.day.ltm), 0001


mean daily NMC reanalysis (1981) (pres.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pres (mean Long Term Mean Daily Surface Pressure, Pascals)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (pres.sfc.day.ltm), 0001


mean daily NMC reanalysis (1981) (sfcr.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sfcr (mean Long Term Mean Daily Surface Roughness, m)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (sfcr.sfc.day.ltm), 0001


mean daily NMC reanalysis (1981) (shtfl.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shtfl (mean Long Term Mean Daily Sensible Heat Net Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (shtfl.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shtfl (mean Long Term Mean Daily Sensible Heat Net Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (shum.2m.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
shum (mean Long Term Mean Daily Specific Humidity at 2 m, kg/kg)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (shum.2m.day.ltm), 0001


mean daily NMC reanalysis (1981) (skt.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
skt (Mean Long Term Mean daily SST/Land Skin Temperature, degree_C)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (skt.sfc.day.1981-2010.ltm), 0001


mean daily NMC reanalysis (1981) (skt.sfc.day.ltm), 0001


mean daily NMC reanalysis (1981) (soilw.0-10cm.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
soilw (mean Long Term Mean Daily Volumetric Soil Moisture between 0-10 cm Below Ground Level, fraction)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (soilw.0-10cm.day.ltm), 0001


mean daily NMC reanalysis (1981) (soilw.10-200cm.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
soilw (mean Long Term Mean Daily Volumetric Soil Moisture between 10-200 cm Below Ground Level, fraction)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (soilw.10-200cm.day.ltm), 0001


mean daily NMC reanalysis (1981) (soilw.day.ltm), 0001


mean daily NMC reanalysis (1981) (soilw200.day.ltm), 0001


mean daily NMC reanalysis (1981) (tmp.0-10cm.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp (mean Long Term Mean Daily Temperature between 0-10 cm below ground level, degree_C)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (tmp.0-10cm.day.ltm), 0001


mean daily NMC reanalysis (1981) (tmp.10-200cm.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp (mean Long Term Mean Daily Temperature between 10-200 cm below ground level, degree_C)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (tmp.10-200cm.day.ltm), 0001


mean daily NMC reanalysis (1981) (tmp.300cm.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tmp (mean Long Term Mean Daily Temperature at 300 cm below ground level, degree_C)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (tmp.300cm.day.ltm), 0001


mean daily NMC reanalysis (1981) (uflx.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uflx (mean Long Term Mean Daily Momentum Flux, u-component at surface, N/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (uflx.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uflx (mean Long Term Mean Daily Momentum Flux, u-component, N/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (ugwd.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugwd (mean Long Term Mean Daily Zonal Gravity Wave Stress at surface, N/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (ugwd.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ugwd (mean Long Term Mean Daily Zonal Gravity Wave Stress, N/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (ulwrf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ulwrf (mean Long Term Mean Daily Upward Longwave Radiation Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (ulwrf.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ulwrf (mean Long Term Mean Daily Upward Longwave Radiation Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (uswrf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uswrf (mean Long Term Mean Daily Upward Solar Radiation Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (uswrf.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uswrf (mean Long Term Mean Daily Upward Solar Radiation Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (uwnd.10m.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uwnd (mean Long Term Mean Daily u-wind at 10 m, m/s)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (uwnd.10m.day.ltm), 0001


mean daily NMC reanalysis (1981) (vbdsf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vbdsf (mean Long Term Mean Daily Visible Beam Downward Solar Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (vbdsf.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vbdsf (mean Long Term Mean Daily Visible Beam Downward Solar Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (vddsf.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vddsf (mean Long Term Mean Daily Visible Diffuse Downward Solar Flux at surface, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (vddsf.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vddsf (mean Long Term Mean Daily Visible Diffuse Downward Solar Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (vflx.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vflx (mean Long Term Mean Daily Momentum Flux, v-component at surface, N/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (vflx.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vflx (mean Long Term Mean Daily Momentum Flux, v-component, N/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (vgwd.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vgwd (mean Long Term Mean Daily Meridional Gravity Wave Stress at surface, N/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (vgwd.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vgwd (mean Long Term Mean Daily Meridional Gravity Wave Stress, N/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (vwnd.10m.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
vwnd (mean Long Term Mean Daily v-wind at 10 m, m/s)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (vwnd.10m.day.ltm), 0001


mean daily NMC reanalysis (1981) (weasd.sfc.day.1981-2010.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
weasd (mean Long Term Mean Daily Water Equiv. of Accum. Snow Depth at surface, kg/m^2)
valid_yr_count (count of non-missing values used in mean)


mean daily NMC reanalysis (1981) (weasd.sfc.day.ltm), 0001

mean daily National Meteorological Center (NMC) reanalysis (1981). Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
weasd (mean Long Term Mean Daily Water Equiv. of Accum. Snow Depth, kg/m^2)
valid_yr_count (count of non-missing values used in mean)


MeteoGalicia, Model Roms, Galicia (ROMS METEO) (kk1), 0.02°, 2010

MeteoGalicia - Model Roms - Galicia (Regional Ocean Modeling System (ROMS) METEO)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
temp (potential temperature, degree_C)


Meteosat Second Generation (MSG) SST, 0.05°, 2011

Meteosat Second Generation (MSG) Sea Surface Temperature (SST). NOAA National Environmental Satellite, Data, and Information Service (NESDIS) CoastWatch Caribbean and Gulf of Mexico (CWCGOM), NOAA Atlantic Oceanographic & Meteorological Laboratory (AOML) data from https://cwcgom.aoml.noaa.gov/thredds/dodsC/MSGSST/SST.nc.das .

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (sea surface temperature, degree_C)


METOP-A ASCAT daily products (ASCAT WINDS METOP A AOML), 0.25°, 2016-present

METOP-A Advanced SCATterometer (ASCAT) daily products. The ASCAT ocean surface winds are a 10 meter neutral stability wind. These products are processed by NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) utilizing measurements from ASCAT aboard the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) METOP satellite. The current geophysical model function (GMF) being used is CMOD5.5, where the GMF relates the normalized radar cross-section to the ocean surface wind speed and direction. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (UT), and World Time.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uwnd_Ascending (Zonal Wind, m s-1)
vwnd_Ascending (Meridional Wind, m s-1)
WSPD_Ascending (Surface Wind Speed, Ascending Passes, m s-1)
Rain_Flag_Ascending (Rain Flag, Ascending Passes)
Time_Ascending (Decimal Hour of the Day, Ascending Passes, hour)
uwnd_Descending (Zonal Wind, m s-1)
vwnd_Descending (m s-1)
WSPD_Descending (Surface Wind Speed, Descending Passes, m s-1)
Rain_Flag_Descending (Rain Flag, Descending Passes)
Time_Descending (Decimal Hour of the Day, Descending Passes, hour)


METOP-B ASCAT daily products (ASCAT WINDS METOP B AOML), 0.25°, 2020-present

METOP-B Advanced SCATterometer (ASCAT) daily products. The ASCAT ocean surface winds are a 10 meter neutral stability wind. These products are processed by NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) utilizing measurements from ASCAT aboard the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) METOP satellite. The current geophysical model function (GMF) being used is CMOD5.5, where the GMF relates the normalized radar cross-section to the ocean surface wind speed and direction. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (UT), and World Time.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uwnd_Ascending (Zonal Wind, m s-1)
vwnd_Ascending (Meridional Wind, m s-1)
WSPD_Ascending (Surface Wind Speed, Ascending Passes, m s-1)
Rain_Flag_Ascending (Rain Flag, Ascending Passes)
Time_Ascending (Decimal Hour of the Day, Ascending Passes, hour)
uwnd_Descending (Zonal Wind, m s-1)
vwnd_Descending (m s-1)
WSPD_Descending (Surface Wind Speed, Descending Passes, m s-1)
Rain_Flag_Descending (Rain Flag, Descending Passes)
Time_Descending (Decimal Hour of the Day, Descending Passes, hour)


miami 13 navd88 2015 (GDAL Band Number 1), 9.259259E-5°

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)


Midway Atoll Coastal Digital Elevation Model (midway island 13 mhw 2012), 9.259259E-5°

Midway Atoll 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/4372; Midway Atoll 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


Midway Atoll Coastal Digital Elevation Model (midway island 3 mhw 2012), 8.3333335E-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/4374; Midway Atoll 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


Midway Tsunami Forecast Grids for MOST Model (Midway A)

Midway 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


Midway Tsunami Forecast Grids for MOST Model (Midway B), 0.0016666666°


Midway Tsunami Forecast Grids for MOST Model (Midway C), 5.5555557E-4°


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)


Mobile, Alabama Coastal Digital Elevation Model (mobile 13 mhw 2009), 9.259259E-5°

Mobile, Alabama 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 (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/673; Mobile, AL 1/3 arc-second MHW DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/vdatum/vdatum.html; NOAA VDatum DEM Project; Project web page.; information


Mobile, Alabama Coastal Digital Elevation Model (mobile 13 navd88 2009), 9.259259E-5°

Mobile, Alabama 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/671; Mobile, AL 1/3 arc-second NAVD 88 DEM; Download page for accessing DEM, metadata record and development report.; download; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/vdatum/vdatum.html; NOAA VDatum DEM Project; Project web page.; information


MODIS AQUA CDOM: MONTHLY FIELDS (AQUA CDOM GULF MONTHLY CLIM) (aquacdommonthlyclim), 0.041666668°, 0000

Moderate Resolution Imaging Spectroradiometer (MODIS) AQUA Colored Dissolved Organic Matter (CDOM): MONTHLY FIELDS (AQUA CDOM GULF MONTHLY CLIM)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
CDOM (CDOM Index)


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Inorganic Carbon, 2003-present (1 Day Composite)

MODIS Aqua, Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC) (1 Day Composite)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pic (Calcite Concentration, Balch and Gordon, mol m-3)


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Inorganic Carbon, 2003-present (1 Day Composite), Lon0360


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Inorganic Carbon, 2003-present (8 Day Composite)

MODIS Aqua, Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC) (8 Day Composite)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pic (Calcite Concentration, Balch and Gordon, mol m-3)


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Inorganic Carbon, 2003-present (8 Day Composite), Lon0360


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Inorganic Carbon, 2003-present (Monthly Composite)

MODIS Aqua, Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Inorganic Carbon (PIC) (Monthly Composite)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pic (Calcite Concentration, Balch and Gordon, mol m-3)


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Inorganic Carbon, 2003-present (Monthly Composite), Lon0360


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Organic Carbon, 2003-present (1 Day Composite)

MODIS Aqua, Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC) (1 Day Composite)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m-3)


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Organic Carbon, 2003-present (1 Day Composite), Lon0360


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Organic Carbon, 2003-present (8 Day Composite)

MODIS Aqua, Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC) (8 Day Composite)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m-3)


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Organic Carbon, 2003-present (8 Day Composite), Lon0360


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Organic Carbon, 2003-present (Monthly Composite)

MODIS Aqua, Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC) (Monthly Composite)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
poc (Particulate Organic Carbon, D. Stramski, 2007 (443/555 version), mg m-3)


MODIS Aqua, Level-3 SMI, Global, 4km, Particulate Organic Carbon, 2003-present (Monthly Composite), Lon0360


Montauk, New York Coastal Digital Elevation Model (montauk 13 mhw 2007), 9.259209E-5°

Montauk, New York 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/599; Montauk, NY 1/3 arc-second Tsunami Inundation DE; 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


Montauk, New York Tsunami Forecast Grids for MOST Model (MontaukNY A), 0.013333°

Montauk, New York 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


Montauk, New York Tsunami Forecast Grids for MOST Model (MontaukNY B)


Montauk, New York Tsunami Forecast Grids for MOST Model (MontaukNY C)


Monterey Bay (P080) Bathymetric Digital Elevation Model (monterey bay P080 2018), 9.259259E-5°

Monterey Bay (P080) 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)


Monterey, California Coastal Digital Elevation Model (monterey 13 mhw 2012), 9.259259E-5°

Monterey, 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/3545; Monterey, CA 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; information; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Monterey, California Coastal Digital Elevation Model (monterey 13 navd88 2012), 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/3544; Monterey, CA 1/3 arc-second Tsunami Inundation DEM; Download page for accessing DEM, metadata record and development report.; information; Citation URL; https://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html; NOAA Tsunami Inundation Gridding Project; Project web page.; information


Monthly Chlor_a Climatology in the Gulf of Mexico (2003-2015) created from HMODISA L3 SMI, aquachlormonthlyclim files provided by the Ocean Biology Processing Group (NASA/GSFC/OBPG), 0.041666668°

Monthly Chlor_a Climatology in the Gulf of Mexico (2003-2015) created from HMODISA Level-3 Standard Mapped Image files provided by the Ocean Biology Processing Group (NASA/GSFC/OBPG). Level-3 Standard Mapped Image. Monthly Chlor_a Climatology in the Gulf of Mexico (2003-2015)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OCI Algorithm, mg m^-3)
Std_Dev_chlor_a (Chlorophyll Concentration standard deviation, mg m^-3)
Minimum_chlor_a (Chlorophyll Concentration Minimum, OCI Algorithm, mg m^-3)
Maximum_chlor_a (Chlorophyll Concentration Maximum, OCI Algorithm, mg m^-3)


monthly interannual std air from the NCEP Reanalysis (air.mon.inter.std), 2.5°, 0001

monthly interannual std air 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 (Interannual Standard Deviation of Air Temperature by Month, degree_C)


monthly interannual std hgt from the NCEP Reanalysis (hgt.mon.inter.std), 2.5°, 0001

monthly interannual std hgt from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
hgt (Monthly Interannual Standard Deviation of Geopotential Height, m)


monthly interannual std of air.tropp from the NCEP Reanalysis (air.mon.inter.std), 2.5°, 0001

monthly interannual std of air.tropp from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Interannual Standard Deviation of Air Temperature by Month, degree_C)


monthly interannual std of csulf.ntat from the NCEP Reanalysis (csulftop.mon.inter.std), 0001

monthly interannual std of csulf.ntat from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from NCEP initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csulf (Interannual Standard Deviation of Clear Sky Upward Longwave Flux by Month, W/m^2)


monthly interannual std of csusf.ntat from the NCEP Reanalysis (csusftop.mon.inter.std), 0001

monthly interannual std of csusf.ntat from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from NCEP initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csusf (Interannual Standard Deviation of Clear Sky Upward Shortwave Flux by Month, W/m^2)


monthly interannual std of dswrf.ntat from the NCEP Reanalysis (dswrftop.mon.inter.std), 0001

monthly interannual std of dswrf.ntat from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from NCEP initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dswrf (Interannual Standard Deviation of Downward Solar Radiation Flux by Month, W/m^2)


monthly interannual std of pres.tropp from the NCEP Reanalysis (pres.mon.inter.std), 2.5°, 0001

monthly interannual std of pres.tropp from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pres (Interannual Standard Deviation of Pressure by Month, millibars)


monthly interannual std of ulwrf.ntat from the NCEP Reanalysis (ulwrftop.mon.inter.std), 0001

monthly interannual std of ulwrf.ntat from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from NCEP initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ulwrf (Interannual Standard Deviation of Upward Longwave Radiation Flux by Month, W/m^2)


monthly interannual std of uswrf.ntat from the NCEP Reanalysis (uswrftop.mon.inter.std), 0001

monthly interannual std of uswrf.ntat from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from NCEP initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uswrf (Interannual Standard Deviation of Upward Solar Radiation Flux by Month, W/m^2)


monthly interannual std omega from the NCEP Reanalysis (omega.mon.inter.std), 2.5°, 0001

monthly interannual std omega 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]):
omega (Interannual Stardard Deviation of Omega by Month, Pascal/s)


monthly interannual std shum from the NCEP Reanalysis (shum.mon.inter.std), 2.5°, 0001

monthly interannual std shum from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
shum (Interannual Standard Deviation of Specific Humidity by Month, g/kg)


monthly interannual std slp from the NCEP Reanalysis (slp.mon.inter.std), 2.5°, 0001

monthly interannual std slp from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
slp (Interannual Standard Deviation of Sea Level Pressure by Month, millibars)


monthly interannual std uwnd from the NCEP Reanalysis (uwnd.mon.inter.std), 2.5°, 0001

monthly interannual std uwnd from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
uwnd (Interannual Standard Deviation of U-Wind by Month, m/s)


monthly interannual std vwnd from the NCEP Reanalysis (vwnd.mon.inter.std), 2.5°, 0001

monthly interannual std vwnd from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
vwnd (Interannual Standard Deviation of V-Wind by Month, m/s)


monthly intraannual std of air.tropp from the NCEP Reanalysis (air.mon.intra.std), 2.5°, 0001

monthly intraannual std of air.tropp from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Intraannual Standard Deviation of Air Temperature by Month, degree_C)


monthly intraannual std of pres.tropp from the NCEP Reanalysis (pres.mon.intra.std), 2.5°, 0001

monthly intraannual std of pres.tropp from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pres (Intraannual Standard Deviation of Pressure by Month, millibars)


monthly ltm air from the NCEP Reanalysis (air.mon.1981-2010.ltm), 2.5°, 0001

monthly ltm air 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 (Monthly Long Term Mean of Air temperature, degree_C)
valid_yr_count (count of non-missing values used in mean)


monthly ltm air from the NCEP Reanalysis (air.mon.ltm), 2.5°, 0001

monthly ltm air 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 (Long Term Mean Monthly Mean of Air temperature, degree_C)
valid_yr_count (count of non-missing values used in mean)


monthly ltm air.sig995 from the NCEP Reanalysis (air.mon.ltm), 2.5°, 0001

monthly ltm air.sig995 from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data from NCEP initialized reanalysis (4x/day).  These are the 0.9950 sigma level values

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Long Term Mean Monthly Mean Air Temperature at sigma level 0.995, degree_C)
valid_yr_count (count of non-missing values used in mean)


monthly ltm air.sig995 from the NCEP Reanalysis (air.sig995.mon.1981-2010.ltm), 2.5°, 0001

monthly ltm air.sig995 from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data from NCEP initialized reanalysis (4x/day).  These are the 0.9950 sigma level values

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
air (Monthly Long Term Mean Air Temperature at sigma level 0.995, degree_C)
valid_yr_count (count of non-missing values used in mean)


monthly ltm air.sig995 from the NCEP Reanalysis (air.sig995.mon.ltm), 2.5°, 0001


monthly ltm air.tropp from the NCEP Reanalysis (air.tropp.mon.ltm), 2.5°, 0001

monthly ltm air.tropp from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

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


monthly ltm csulf.ntat from the NCEP Reanalysis (csulf.ntat.mon.ltm), 0001

monthly ltm csulf.ntat from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csulf (Long Term Mean Monthly Mean of Clear Sky Upward Longwave Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


monthly ltm csusf.ntat from the NCEP Reanalysis (csusf.ntat.mon.1981-2010.ltm), 0001

monthly ltm csusf.ntat from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
csusf (Long Term Mean Monthly Mean of Clear Sky Upward Shortwave Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


monthly ltm csusf.ntat from the NCEP Reanalysis (csusf.ntat.mon.ltm), 0001


monthly ltm dswrf.ntat from the NCEP Reanalysis (dswrf.ntat.mon.1981-2010.ltm), 0001

monthly ltm dswrf.ntat from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
dswrf (Long Term Mean Monthly Mean of Downward Solar Radiation Flux, W/m^2)
valid_yr_count (count of non-missing values used in mean)


monthly ltm dswrf.ntat from the NCEP Reanalysis (dswrf.ntat.mon.ltm), 0001


monthly ltm hgt from the NCEP Reanalysis (hgt.mon.1981-2010.ltm), 2.5°, 0001

monthly ltm hgt 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]):
hgt (Monthly Long Term mean geopotential height, m)
valid_yr_count (count of non-missing values used in mean)


monthly ltm hgt from the NCEP Reanalysis (hgt.mon.ltm), 2.5°, 0001

monthly ltm hgt 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]):
hgt (Long Term Mean Monthly mean geopotential height, m)
valid_yr_count (count of non-missing values used in mean)


monthly ltm lftx from the NCEP Reanalysis (lftx.mon.1981-2010.ltm), 2.5°, 0001

monthly ltm lftx from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lftx (Monthly Long Term Mean Surface Lifted Index, degree_C)
valid_yr_count (count of non-missing values used in mean)


monthly ltm lftx from the NCEP Reanalysis (lftx.mon.ltm), 2.5°, 0001

monthly ltm lftx from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lftx (Long Term Mean Monthly Mean Surface Lifted Index, degree_C)
valid_yr_count (count of non-missing values used in mean)


monthly ltm lftx4 from the NCEP Reanalysis (lftx4.mon.1981-2010.ltm), 2.5°, 0001

monthly ltm lftx4 from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
lftx4 (Monthly Long Term Mean Surface Lifted Index, degree_C)
valid_yr_count (count of non-missing values used in mean)


monthly ltm omega from the NCEP Reanalysis (omega.mon.1981-2010.ltm), 2.5°, 0001

monthly ltm omega 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]):
omega (Monthly Long Term Mean of Omega, Pascal/s)
valid_yr_count (count of non-missing values used in mean)


monthly ltm omega from the NCEP Reanalysis (omega.mon.ltm), 2.5°, 0001

monthly ltm omega 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]):
omega (Long Term Mean Monthly Mean of Omega, Pascal/s)
valid_yr_count (count of non-missing values used in mean)


monthly ltm omega.sig995 from the NCEP Reanalysis (omega.sig995.mon.1981-2010.ltm), 2.5°, 0001

monthly ltm omega.sig995 from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data from NCEP initialized reanalysis (4x/day).  These are the 0.9950 sigma level values

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
omega (Monthly Long Term Mean omega at sigma level 0.995, Pascal/s)
valid_yr_count (count of non-missing values used in mean)


monthly ltm omega.sig995 from the NCEP Reanalysis (omega.sig995.mon.ltm), 2.5°, 0001

monthly ltm omega.sig995 from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data from NCEP initialized reanalysis (4x/day).  These are the 0.9950 sigma level values

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
omega (Long Term Mean Monthly mean omega at sigma level 0.995, Pascal/s)
valid_yr_count (count of non-missing values used in mean)


monthly ltm pottmp from the NCEP Reanalysis (pottmp.mon.1981-2010.ltm), 2.5°, 0001

monthly ltm pottmp 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]):
pottmp (Long Term Mean Monthly Mean of Potential Temperature, degree_C)
valid_yr_count (count of non-missing values used in mean)


monthly ltm pottmp from the NCEP Reanalysis (pottmp.mon.ltm), 2.5°, 0001


monthly ltm pr_wtr.eatm from the NCEP Reanalysis (pr wtr.eatm.mon.1981-2010.ltm), 2.5°, 0001

monthly ltm pr_wtr.eatm from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data from NCEP initialized reanalysis (4x/day).  These are the 0.9950 sigma level values

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pr_wtr (Long Term Mean Monthly Mean of Precipitable Water Content, kg/m^2)
valid_yr_count (count of non-missing values used in mean)


monthly ltm pr_wtr.eatm from the NCEP Reanalysis (pr wtr.eatm.mon.ltm), 2.5°, 0001


monthly ltm pr_wtr.eatm from the NCEP Reanalysis (pr wtr.mon.ltm), 2.5°, 0001


monthly ltm pres from the NCEP Reanalysis (pres.mon.1981-2010.ltm), 2.5°, 0001

monthly ltm pres from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pres (Monthly Long Term Mean of Surface Pressure, millibars)
valid_yr_count (count of non-missing values used in mean)


monthly ltm pres from the NCEP Reanalysis (pres.mon.ltm), 2.5°, 0001

monthly ltm pres from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  These are the 0.9950 sigma level values.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pres (Long Term Mean Monthly Mean of Surface Pressure, millibars)
valid_yr_count (count of non-missing values used in mean)


monthly ltm pres.hcb from the NCEP Reanalysis (pres.hcb.mon.1981-2010.ltm), 0001

monthly ltm pres.hcb from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pres (daily Long Term Mean mean High Cloud Bottom Pressure, Pascals)
valid_yr_count (count of non-missing values used in mean)


monthly ltm pres.hcb from the NCEP Reanalysis (pres.hcb.mon.ltm), 0001

monthly ltm pres.hcb from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pres (Long Term Mean Monthly Mean of High Cloud Bottom Pressure, Pascals)
valid_yr_count (count of non-missing values used in mean)


monthly ltm pres.hct from the NCEP Reanalysis (pres.hct.mon.1981-2010.ltm), 0001

monthly ltm pres.hct from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (NMC) initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pres (Long Term Mean Monthly Mean of High Cloud Top Pressure, Pascals)
valid_yr_count (count of non-missing values used in mean)


monthly ltm pres.hct from the NCEP Reanalysis (pres.hct.mon.ltm), 0001