Wind Stress, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day), Lon+/-180


Wind Stress, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day), Lon+/-180


Wind Stress, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day), Lon+/-180


Wind Stress, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly), Lon+/-180


Wind Stress, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (1 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (1 Day), Lon+/-180


Wind Stress, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (14 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (14 Day), Lon+/-180


Wind Stress, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (3 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (3 Day), Lon+/-180


Wind Stress, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (8 Day)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (8 Day), Lon+/-180


Wind Stress, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (Monthly)

NOAA CoastWatch distributes science quality wind stress data in zonal, meridional, modulus, and wind stress curl sets.  This data begins with wind velocity measurements from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  NOAA CoastWatch processes wind velocity to wind stress and wind stress curl. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
taux (Zonal Wind Stress, Pa)
tauy (Meridional Wind Stress, Pa)
curl (Curl of Wind Stress, Pa m-1)
modStress (Modulus of Wind Stress, Pa)
upwelling (Ekman Upwelling, m s-1)


Wind Stress, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (Monthly), Lon+/-180


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day), Lon+/-180


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day), Lon+/-180


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day), Lon+/-180


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day), Lon+/-180


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly), Lon+/-180


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (1 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (1 Day), Lon+/-180


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (14 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (14 Day), Lon+/-180


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (3 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (3 Day), Lon+/-180


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (8 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (8 Day), Lon+/-180


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (Monthly)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (Monthly), Lon+/-180


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (1 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (1 Day), Lon+/-180


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (14 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (14 Day), Lon+/-180


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (3 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (3 Day), Lon+/-180


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (8 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (8 Day), Lon+/-180


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (Monthly)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present (Monthly), Lon+/-180


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present, Divergence and Modulus (1 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present, Divergence and Modulus (1 Day), Lon+/-180


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present, Divergence and Modulus (14 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present, Divergence and Modulus (14 Day), Lon+/-180


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present, Divergence and Modulus (3 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present, Divergence and Modulus (3 Day), Lon+/-180


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present, Divergence and Modulus (8 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present, Divergence and Modulus (8 Day), Lon+/-180


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present, Divergence and Modulus (Monthly)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-A satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, Metop-A ASCAT, 0.25°, Global, Near Real Time, 2009-present, Divergence and Modulus (Monthly), Lon+/-180


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (1 Day), Lon+/-180


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (14 Day), Lon+/-180


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (3 Day), Lon+/-180


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (8 Day), Lon+/-180


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly)

NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly), Lon+/-180


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (1 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (1 Day), Lon+/-180


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (14 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (14 Day), Lon+/-180


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (3 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (3 Day), Lon+/-180


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (8 Day)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (8 Day), Lon+/-180


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (Monthly)

NOAA CoastWatch distributes near real time divergence and modulus wind data originating with wind velocity measurements from the ASCAT instrument onboard EUMETSAT's Metop-B satellite.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, Metop-B ASCAT, 0.25°, Global, Near Real Time, 2013-present, Divergence and Modulus (Monthly), Lon+/-180


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (1 Day)

Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (1 Day), Lon+/-180


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (3 Day)

Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (3 Day), Lon+/-180


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (8 Day)

Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (8 Day), Lon+/-180


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (Monthly)

Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009 (Monthly), Lon+/-180


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009, Divergence and Modulus (1 Day)

Remote Sensing Inc. distributes science quality wind divergence and modulus data from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  The reference height is 10 meters. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009, Divergence and Modulus (1 Day), Lon+/-180


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009, Divergence and Modulus (14 Day)

Remote Sensing Inc. distributes science quality wind divergence and modulus data from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  The reference height is 10 meters. (This is a 14 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009, Divergence and Modulus (14 Day), Lon+/-180


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009, Divergence and Modulus (3 Day)

Remote Sensing Inc. distributes science quality wind divergence and modulus data from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  The reference height is 10 meters. (This is a 3 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009, Divergence and Modulus (3 Day), Lon+/-180


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009, Divergence and Modulus (8 Day)

Remote Sensing Inc. distributes science quality wind divergence and modulus data from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  The reference height is 10 meters. (This is an 8 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009, Divergence and Modulus (8 Day), Lon+/-180


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009, Divergence and Modulus (Monthly)

Remote Sensing Inc. distributes science quality wind divergence and modulus data from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  The reference height is 10 meters. (This is a monthly composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
divw (Wind Divergence, s-1)
mod (Modulus of Wind, m s-1)


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999-2009, Divergence and Modulus (Monthly), Lon+/-180


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 2007-2007 (4 Day)

Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 4 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 2007-2007 (4 Day), Lon+/-180


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)


World Ocean Atlas 2009 1x1 Annual means (woa09 1deg annual), 1.0°, 0000

World Ocean Atlas 2009 (WOA09) is a set of objectively analyzed (1 degree grid) climatological fields of in situ temperature, salinity, dissolved oxygen, Apparent Oxygen Utilization (AOU), percent oxygen saturation, phosphate, silicate, and nitrate at standard depth levels for annual, seasonal, and monthly compositing periods for the World Ocean. It also includes associated statistical fields of observed oceanographic profile data interpolated to standard depth levels on both 1 degree and 5 degree grids. For more details, please see https://www.nodc.noaa.gov/OC5/WOA09/pr_woa09.html

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
A_an (Objectively Analyzed Climatology for Apparent O2 Utilization, ml/l)
A_mn (Statistical Mean for Apparent O2 Utilization, ml/l)
A_dd (Number of Apparent O2 Utilization Observations, 1)
A_ma (Apparent O2 Utilization Seasonal or Monthly Climatology minus Annual Climatology, ml/l)
A_sd (Apparent O2 Utilization Standard Deviation from Statistical Mean, ml/l)
A_se (Apparent O2 Utilization Standard Error of the Statistical Mean, ml/l)
A_gp (Number of Apparent O2 Utilization Mean Values within Radius of Influence, 1)
o_an (Objectively Analyzed Climatology for Dissolved O2, ml/l)
o_mn (Statistical Mean for Dissolved O2, ml/l)
o_dd (Number of Dissolved O2 Observations, 1)
o_ma (Dissolved O2 Seasonal or Monthly Climatology minus Annual Climatology, ml/l)
o_sd (Dissolved O2 Standard Deviation from Statistical Mean, ml/l)
o_se (Dissolved O2 Standard Error of the Statistical Mean, ml/l)
o_gp (Number of Dissolved O2 Mean Values within Radius of Influence, 1)
n_an (Objectively Analyzed Climatology for Nitrate, micromoles/l)
n_mn (Statistical Mean for Nitrate, micromoles/l)
n_dd (Number of Nitrate Observations, 1)
n_ma (Nitrate Seasonal or Monthly Climatology minus Annual Climatology, micromoles/l)
n_sd (Nitrate Standard Deviation from Statistical Mean, micromoles/l)
n_se (Nitrate Standard Error of the Statistical Mean, micromoles/l)
n_gp (Number of Nitrate Mean Values within Radius of Influence, 1)
... (35 more variables)


World Ocean Atlas 2009 1x1 Monthly means (woa09 1deg monthly), 1.0°, 0000

World Ocean Atlas 2009 (WOA09) is a set of objectively analyzed (1 degree grid) climatological fields of in situ temperature, salinity, dissolved oxygen, Apparent Oxygen Utilization (AOU), percent oxygen saturation, phosphate, silicate, and nitrate at standard depth levels for annual, seasonal, and monthly compositing periods for the World Ocean. It also includes associated statistical fields of observed oceanographic profile data interpolated to standard depth levels on both 1 degree and 5 degree grids. For more details, please see https://www.nodc.noaa.gov/OC5/WOA09/pr_woa09.html

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
A_an (Objectively Analyzed Climatology for O2 Utilization, ml/l)
A_mn (Statistical Mean O2 Utilization, ml/l)
A_dd (Number of O2 Utilization Observations, 1)
A_ma (O2 Utilization Monthly Climatology minus Annual Climatology, ml/l)
A_sd (O2 Utilization Standard Deviation from Statistical Mean, ml/l)
A_se (O2 Utilization Standard Error of the Statistical Mean, ml/l)
A_oa (O2 Utilization Statistical Mean minus Objectively Analyzed Climatology, ml/l)
A_gp (Number of O2 Utilization Mean Values within Radius of Influence, 1)
o_an (Objectively Analyzed Climatology for Dissovled O2, ml/l)
o_mn (Statistical Mean for Dissovled O2, ml/l)
o_dd (Number of Dissovled O2 Observations, 1)
o_ma (Dissovled O2 Monthly Climatology minus Annual Climatology, ml/l)
o_sd (Dissovled O2 Standard Deviation from Statistical Mean, ml/l)
o_se (Dissovled O2 Standard Error of the Statistical Mean, ml/l)
o_oa (Dissovled O2 Statistical Mean minus Objectively Analyzed Climatology, ml/l)
o_gp (Number of Dissovled O2 Mean Values within Radius of Influence, 1)
n_an (Objectively Analyzed Climatology for Nitrate, micromoles/l)
n_mn (Statistical Mean for Nitrate, micromoles/l)
n_dd (Number of Nitrate Observations, 1)
n_ma (Nitrate Monthly Climatology minus Annual Climatology, micromoles/l)
n_sd (Nitrate Standard Deviation from Statistical Mean, micromoles/l)
... (43 more variables)


World Ocean Atlas 2009 1x1 Seasonal means (woa09 1deg seasonal), 1.0°, 0000

World Ocean Atlas 2009 (WOA09) is a set of objectively analyzed (1 degree grid) climatological fields of in situ temperature, salinity, dissolved oxygen, Apparent Oxygen Utilization (AOU), percent oxygen saturation, phosphate, silicate, and nitrate at standard depth levels for annual, seasonal, and monthly compositing periods for the World Ocean. It also includes associated statistical fields of observed oceanographic profile data interpolated to standard depth levels on both 1 degree and 5 degree grids. For more details, please see https://www.nodc.noaa.gov/OC5/WOA09/pr_woa09.html

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
A_an (Objectively Analyzed Climatology for O2 Utilization, ml/l)
A_mn (Statistical Mean for O2 Utilization, ml/l)
A_dd (O2 Utilization Number of Observations, 1)
A_ma (O2 Utilization Monthly Climatology minus Annual Climatology, ml/l)
A_sd (O2 Utilization Standard Deviation from Statistical Mean, ml/l)
A_se (O2 Utilization Standard Error of the Statistical Mean, ml/l)
A_oa (O2 Utilization Statistical Mean minus Objectively Analyzed Climatology, ml/l)
A_gp (Number of O2 Utilization Mean Values within Radius of Influence, 1)
o_an (Objectively Analyzed Climatology for Seasonal O2, ml/l)
o_mn (Statistical Mean for Seasonal O2, ml/l)
o_dd (Number of Seasonal O2 Observations, 1)
o_ma (Seasonal O2 Climatology minus Annual Climatology, ml/l)
o_sd (Seasonal O2 Standard Deviation from Statistical Mean, ml/l)
o_se (Seasonal O2 Standard Error of the Statistical Mean, ml/l)
o_oa (Seasonal O2 Statistical Mean minus Objectively Analyzed Climatology, ml/l)
o_gp (Number of Seasonal O2 Mean Values within Radius of Influence, 1)
n_an (Objectively Analyzed Climatology for Nitrate, micromoles/l)
n_mn (Statistical Mean for Nitrate, micromoles/l)
n_dd (Number of Nitrate Observations, 1)
n_ma (Nitrate Seasonal Climatology minus Annual Climatology, micromoles/l)
n_sd (Nitrate Standard Deviation from Statistical Mean, micromoles/l)
... (43 more variables)


World Ocean Atlas 2018 : sea_water_salinity November 1955-2017 0.25 degree (WOA SAL), 1986

World Ocean Atlas 2018 : sea_water_salinity November 1955-2017 0.25 degree. Climatological mean salinity for the global ocean from in situ profile data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
s_an (Objectively analyzed mean fields for sea_water_practical_salinity at standard depth levels., PSU)


World Ocean Atlas 2018 : sea_water_temperature November 1955-2017 0.25 degree (WOA TEMP), 1986

World Ocean Atlas 2018 : sea_water_temperature November 1955-2017 0.25 degree. Climatological mean temperature for the global ocean from in situ profile data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
t_an (Objectively analyzed mean fields for sea_water_temperature at standard depth levels., degree_C)


Wrangell, Alaska 8/15 sec Coastal Digital Elevation Model (wrangell ak 815 mhhw 2018), 1.4814814E-4°

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

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


wspd.10m.mon.ltm (Monthly NARR) [time][y][x], 0001

Monthly NARR (wspd.10m.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
wspd (Monthly Long Term Mean Wind Speed at 10 m, m/s)

National Centers for Environmental Prediction


Monthly NARR (wspd.10m.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)


wspd.10m.mon.mean (Monthly NARR) [time][y][x], 1979-present

Monthly NARR (wspd.10m.mon.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
wspd (Monthly Wind Speed at 10 m, m/s)


Monthly NARR (wspd.10m.mon.mean)

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


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Long Term Mean at Surface, m/s)


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Long Term Mean at Surface, m/s)


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Long Term Mean at Surface, m/s)


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Long Term Mean at Surface, m/s)


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Long Term Mean at Surface, m/s)


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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Long Term Mean at Surface, m/s)


wspd.mon.mean (Monthly NARR) [time][level][y][x], 1979-present

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][level][y][x]):
wspd (Monthly Wind Speed on Pressure Levels, m/s)


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)


wvconv.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]):
wvconv (Long Term Monthly Mean Water Vapor Flux Convergence Accumulation at Entire Atmosphere Considered as a Single Layer, kg/m^2)


wvinc.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]):
wvinc (Long Term Monthly Mean Water Vapor Added by Precip. Assimilation Accumulation at Entire Atmosphere Considered as a Single Layer, kg/m^2)

National Centers for Environmental Prediction


wvuflx.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]):
wvuflx (Long Term Monthly Mean Water Vapor Zonal Flux Accumulation at Entire Atmosphere Considered as a Single Layer, kg/m)


wvvflx.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]):
wvvflx (Long Term Monthly Mean Water Vapor Meridional Flux Accumulation at Entire Atmosphere Considered as a Single Layer, kg/m)


XBT: Last 10-day locations (xbt last3d) [profile]

Expendible Bathythermograph (XBT): Last 10-day locations. XBT profile location information provided by Physical Oceanography Division (PhOD)/Atlantic Oceanographic & Meteorological Laboratory (AOML). Only location and time are provided.

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


Yakutat Tsunami Forecast Grids for MOST Model (YakutatAK A)

Yakutat 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


Yakutat Tsunami Forecast Grids for MOST Model (YakutatAK B)


Yakutat Tsunami Forecast Grids for MOST Model (YakutatAK C)


Yakutat, Alaska Coastal Digital Elevation Model (yakutat 8 mhhw 2009), 0.0022222223°

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

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

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/532; Yakutat, AK 8 arc-second MHHW DEM; Download page for accessing DEM, metadata record and development report.; download


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

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/733; Yakutat, AK 8/15 arc-second MHHW DEM; Download page for accessing DEM, metadata record and development report.; download


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

DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA; publisher; NOAA NGDC, NESDIS, NOAA; Boulder; Colorado; publisher; NOAA NGDC, NESDIS, NOAA; originator; Citation URL; https://www.ngdc.noaa.gov/dem/squareCellGrid/download/534; Yakutat, AK 8/3 arc-second MHHW DEM; Download page for accessing DEM, metadata record and development report.; download


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)