monthly mean wind speed from 4-times daily u and v from NCEP/DOE Reanalysis 2 (wspd.mon.mean), 2.5°, 1979-present

monthly mean wind speed from 4-times daily u and v from National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Reanalysis 2. Data is from
NCEP/DOE Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)
(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]):
wspd (Monthly Wind Speed on Pressure Levels, m/s)


monthly mean wind speed from 4-times daily u and v from the NCEP Reanalysis (wspd.mon.mean), 2.5°, 1948-present

monthly mean wind speed from 4-times daily u and v 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]):
wspd (Monthly mean wind speed from daily wind speed (from daily vector winds), m/s)


NCEP Reanalysis monthly mean 10 m wind speed (wspd.10m.mon.1981-2010.ltm), 0001

National Centers for Environmental Prediction (NCEP) Reanalysis monthly mean 10 m wind speed. Data is from National Meteorological Center (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]):
wspd (Monthly Long Term Mean of Wind Speed, m/s)
valid_yr_count (count of non-missing values used in mean)


NCEP Reanalysis monthly mean 10 m wind speed (wspd.10m.mon.ltm), 0001

National Centers for Environmental Prediction (NCEP) Reanalysis monthly mean 10 m wind speed. Data is from National Meteorological Center (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]):
wspd (Long Term Mean Monthly Mean of 10m Wind Speed from daily wind speed (from daily vector winds), m/s)
valid_yr_count (count of non-missing values used in mean)


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)


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)


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)


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)


Monthly NCEP/DOE Reanalysis 2 (wspd.10m.mon.mean), 1979-present

Monthly National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Reanalysis 2. Data is from
NCEP/DOE Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)
(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][latitude][longitude]):
wspd (Monthly Mean of Forecast of Wind Speed at 10 m from daily wind speed (from daily vector winds), m/s)


4x Daily NOAA-CIRES 20th Century Reanalysis V2c (wspd.10m.mon.mean), 1851-2014

4x Daily NOAA-Cooperative Institute for Research in Environmental Sciences (CIRES) 20th Century Reanalysis V2c. Data is from
NOAA-CIRES 20th Century Reanalysis version 2c
(4x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.
On 2015/11/16, replaced time steps 3Z on 18 Aug 1855, 6Z on 8 May 1910, 3Z on 22 May 1950, and 9Z on 2 Jun 1990.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Monthly 10-meter wind speed Spread, m/s)


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

monthly ltm wspd 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]):
wspd (Long Term Mean Monthly mean wind speed from daily wind speed (from daily vector winds), m/s)
valid_yr_count (count of non-missing values used in mean)


monthly mean wspd.sig995 from the NCEP Reanalysis (wspd.mon.mean), 2.5°, 1948-present

monthly mean wspd.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]):
wspd (Monthly Mean Wind Speed at sigma level 0.995 from daily wind speed (from daily vector winds), m/s)


4x Daily NOAA-Cooperative Institute for Research in Environmental Sciences (CIRES) 20th Century Reanalysis V2c. Data is from
NOAA-CIRES 20th Century Reanalysis version 2c
(4x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.
On 2015/11/16, replaced time steps 12Z and 15Z for 14 Sep 1990.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Monthly mean 10-meter wind speed, m/s)


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

monthly ltm wspd 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]):
wspd (Monthly Long Term Mean Wind Speed, m/s)
valid_yr_count (count of non-missing values used in mean)


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

monthly ltm wspd.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]):
wspd (Long Term Mean Monthly Mean Wind Speed at sigma level 0.995 from daily wind speed (from daily vector winds), m/s)
valid_yr_count (count of non-missing values used in mean)


monthly mean wsdp.10m from the NCEP Reanalysis (wspd.10m.mon.mean), 1948-present

monthly mean wsdp.10m from the National Centers for Environmental Prediction (NCEP) Reanalysis. Data is from National Meteorological Center (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]):
wspd (Monthly Mean of 10m Wind Speed from daily wind speed (from daily vector winds), m/s)


monthly mean wspd.sig995 from the NCEP Reanalysis (wspd.sig995.mon.mean), 2.5°, 1948-present


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


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

monthly ltm wspd.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]):
wspd (Monthly Long Term Mean Wind Speed at sigma level 0.995, m/s)
valid_yr_count (count of non-missing values used in mean)


F15 SSM/I daily products (RSS SSMI F15), 0.25°, 2019

F15 SSM/I daily products. These Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products are produced as part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program. Remote Sensing Systems generates SSM/I and SSMIS data products using a unified, physically based algorithm to simultaneously retrieve the products. This algorithm is a product of 20 years of refinements, improvements, and verifications.nThe daily files consist of over-ocean measurements (geophysical retrievals or parameters) mapped to a regular 0.25-degree grid complete with data gaps between orbits. Two maps exist for each parameter, one of ascending orbit segments and the other of descending orbit segments. Data on each of the segment maps are averaged where successive orbits cross and are overwritten at the seam or region where the last orbit of the day overlaps the first orbit of the day. Daily data files contain time maps consisting of the UTC observation time for each set of passes (ascending and descending).n Gridded data are organized according to observation date. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.

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


F16 SSMIS daily products (RSS SSMIS F16), 0.25°, 2019-present

F16 SSMIS daily products. These Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products are produced as part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program. Remote Sensing Systems generates SSM/I and SSMIS data products using a unified, physically based algorithm to simultaneously retrieve the products. This algorithm is a product of 20 years of refinements, improvements, and verifications.nThe daily files consist of over-ocean measurements (geophysical retrievals or parameters) mapped to a regular 0.25-degree grid complete with data gaps between orbits. Two maps exist for each parameter, one of ascending orbit segments and the other of descending orbit segments. Data on each of the segment maps are averaged where successive orbits cross and are overwritten at the seam or region where the last orbit of the day overlaps the first orbit of the day. Daily data files contain time maps consisting of the UTC observation time for each set of passes (ascending and descending).n Gridded data are organized according to observation date. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.

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


F17 SSMIS daily products (RSS SSMIS F17), 0.25°, 2019-present

F17 SSMIS daily products. These Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products are produced as part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program. Remote Sensing Systems generates SSM/I and SSMIS data products using a unified, physically based algorithm to simultaneously retrieve the products. This algorithm is a product of 20 years of refinements, improvements, and verifications.nThe daily files consist of over-ocean measurements (geophysical retrievals or parameters) mapped to a regular 0.25-degree grid complete with data gaps between orbits. Two maps exist for each parameter, one of ascending orbit segments and the other of descending orbit segments. Data on each of the segment maps are averaged where successive orbits cross and are overwritten at the seam or region where the last orbit of the day overlaps the first orbit of the day. Daily data files contain time maps consisting of the UTC observation time for each set of passes (ascending and descending).n Gridded data are organized according to observation date. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.

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


F18 SSMIS daily products (RSS SSMIS F18), 0.25°, 2019-present

F18 SSMIS daily products. These Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products are produced as part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program. Remote Sensing Systems generates SSM/I and SSMIS data products using a unified, physically based algorithm to simultaneously retrieve the products. This algorithm is a product of 20 years of refinements, improvements, and verifications.nThe daily files consist of over-ocean measurements (geophysical retrievals or parameters) mapped to a regular 0.25-degree grid complete with data gaps between orbits. Two maps exist for each parameter, one of ascending orbit segments and the other of descending orbit segments. Data on each of the segment maps are averaged where successive orbits cross and are overwritten at the seam or region where the last orbit of the day overlaps the first orbit of the day. Daily data files contain time maps consisting of the UTC observation time for each set of passes (ascending and descending).n Gridded data are organized according to observation date. All dates and times are Coordinated Universal Time (UTC), also known as Greenwich Mean Time (GMT), Zulu Time (Z), Universal Time (UT), and World Time.

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


SST, Pathfinder Ver 5.2 (L3C), Day, Global, 0.0417°, 1981-2012, Science Quality (8 Day Composite)

This dataset contains sea surface temperature (SST) data produced as part of the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder SST Project, created using Version 5.2 of the Pathfinder algorithm and the dataset. Multi-day composites and composites of day and night datasets were generated by the Environmental Research Division (NOAA/NMFS/SWFSC/ERD).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m Wind Speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.2 (L3C), Day, Global, 0.0417°, 1981-2012, Science Quality (Monthly Composite)


SST, Pathfinder Ver 5.2 (L3C), Night, Global, 0.0417°, 1981-2012, Science Quality (8 Day Composite)


SST, Pathfinder Ver 5.2 (L3C), Night, Global, 0.0417°, 1981-2012, Science Quality (Monthly Composite)


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2006, Science Quality (8 Day Composite)


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (1 Day Composite)


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (Monthly Composite)


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][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][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)


SST, Pathfinder Ver 5.2 (L3C), Day, Global, 0.0417°, 1981-2012, Science Quality (8 Day Composite), Lon0360


SST, Pathfinder Ver 5.2 (L3C), Day, Global, 0.0417°, 1981-2012, Science Quality (Monthly Composite), Lon0360


SST, Pathfinder Ver 5.2 (L3C), Night, Global, 0.0417°, 1981-2012, Science Quality (8 Day Composite), Lon0360


SST, Pathfinder Ver 5.2 (L3C), Night, Global, 0.0417°, 1981-2012, Science Quality (Monthly Composite), Lon0360


TAO/TRITON, RAMA, and PIRATA Buoys, 5-Day, 1977-present, Wind

This dataset has 5-day Wind data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  5-day data is an average of daily values collected during consecutive five day intervals.  A minimum of 2 daily values are required to compute a 5-day average.  This dataset contains realtime and delayed mode data (see the 'source' variable).  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
WU_422 (Zonal Wind, m s-1)
WV_423 (Meridional Wind, m s-1)
WS_401 (Wind Speed, m s-1)
QWS_5401 (Wind Speed Quality)
SWS_6401 (Wind Speed Source)
WD_410 (Wind Direction, degrees_true)
QWD_5410 (Wind Direction Quality)
SWD_6410 (Wind Direction Source)


TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1977-present, Wind

This dataset has daily Wind data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
WU_422 (Zonal Wind, m s-1)
WV_423 (Meridional Wind, m s-1)
WS_401 (Wind Speed, m s-1)
QWS_5401 (Wind Speed Quality)
SWS_6401 (Wind Speed Source)
WD_410 (Wind Direction, degrees_true)
QWD_5410 (Wind Direction Quality)
SWD_6410 (Wind Direction Source)


TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 1977-present, Wind

This dataset has monthly Wind data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Monthly data is an average of daily values collected during a month.  A minimum of 15 daily values are required to compute a monthly average.  This dataset contains realtime and delayed mode data (see the 'source' variable).  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
WU_422 (Zonal Wind, m s-1)
WV_423 (Meridional Wind, m s-1)
WS_401 (Wind Speed, m s-1)
QWS_5401 (Wind Speed Quality)
SWS_6401 (Wind Speed Source)
WD_410 (Wind Direction, degrees_true)
QWD_5410 (Wind Direction Quality)
SWD_6410 (Wind Direction Source)


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2006, Science Quality (8 Day Composite), Lon0360

This dataset contains sea surface temperature (SST) data produced as part of the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder SST Project, created using Version 5.2 of the Pathfinder algorithm and the dataset. Multi-day composites and composites of day and night datasets were generated by the Environmental Research Division (NOAA/NMFS/SWFSC/ERD).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m Wind Speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (1 Day Composite), Lon0360


TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 1977-present, Wind

This dataset has quarterly Wind data from the
TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),
RAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and
PIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )
arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Quarterly data is an average of monthly values collected during a 3 month period.  A minimum of 2 monthly values are required to compute a quarterly average.  This dataset contains realtime and delayed mode data (see the 'source' variable).  For more information, see
https://www.pmel.noaa.gov/gtmba/mission .

cdm_data_type = TimeSeries
VARIABLES:
array
station
wmo_platform_code
longitude (Nominal Longitude, degrees_east)
latitude (Nominal Latitude, degrees_north)
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
depth (m)
WU_422 (Zonal Wind, m s-1)
WV_423 (Meridional Wind, m s-1)
WS_401 (Wind Speed, m s-1)
QWS_5401 (Wind Speed Quality)
SWS_6401 (Wind Speed Source)
WD_410 (Wind Direction, degrees_true)
QWD_5410 (Wind Direction Quality)
SWD_6410 (Wind Direction Source)


SST, Pathfinder Ver 5.2 (L3C), Day and Night, Global, 0.0417°, 1981-2012, Science Quality (Monthly Composite), Lon0360


SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite)

This dataset contains 8-day-composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.2 (L3C), Day, Global, 0.0417°, 1981-2012, Science Quality (1 Day Composite)

Daytime measurements from the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Version 5.2 L3-Collated (L3C) sea surface temperature. This netCDF-4 file contains sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. These data were created using Version 5.2 of the Pathfinder algorithm and the file is nearly but not completely compliant with the Global High-Resolution Sea Surface Temperature (GHRSST) Data Specifications V2.0 (GDS2).  The file does not encode time according to the GDS2 specifications, and the sses_bias and sses_standard_deviation variables are empty.  Full compliance with GDS2 specifications will be achieved in the future Pathfinder Version 6. These data were created as a partnership between the University of Miami and the US NOAA/National Oceanographic Data Center (NODC).

2014-02-11 Files downloaded from https://data.nodc.noaa.gov/pathfinder/Version5.2 to NOAA NMFS SWFSC ERD by erd.data@noaa.gov . Aggregated with reference times from the dates in the file names. Removed other, misleading time values from the file names and the data files. Removed empty sses_bias and sses_standard_deviation variables. Removed aerosol_dynamic_indicator because of incorrect add_offset and scale_factor in files from 1981 through 2000.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
dt_analysis (Deviation from Last SST Analysis (NCDC Daily OI), degree_C)
wind_speed (10m Wind Speed, m s-1)
sea_ice_fraction (1)
quality_level (SST Measurement Quality)
pathfinder_quality_level (Pathfinder SST Quality Flag)
l2p_flags


SST, Pathfinder Ver 5.2 (L3C), Night, Global, 0.0417°, 1981-2012, Science Quality (1 Day Composite)

Nighttime measurements from the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Version 5.2 L3-Collated (L3C) sea surface temperature. This netCDF-4 file contains sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. These data were created using Version 5.2 of the Pathfinder algorithm and the file is nearly but not completely compliant with the Global High-Resolution Sea Surface Temperature (GHRSST) Data Specifications V2.0 (GDS2).  The file does not encode time according to the GDS2 specifications, and the sses_bias and sses_standard_deviation variables are empty.  Full compliance with GDS2 specifications will be achieved in the future Pathfinder Version 6. These data were created as a partnership between the University of Miami and the US NOAA/National Oceanographic Data Center (NODC).

2014-02-11 Files downloaded from https://data.nodc.noaa.gov/pathfinder/Version5.2 to NOAA NMFS SWFSC ERD by erd.data@noaa.gov . Aggregated with reference times from the dates in the file names. Removed other, misleading time values from the file names and the data files. Removed empty sses_bias and sses_standard_deviation variables. Fixed the incorrect add_offset and scale_factor for aerosol_dynamic_indicator in file from 1981 through 2000.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
dt_analysis (Deviation from Last SST Analysis (NCDC Daily OI), degree_C)
wind_speed (10m Wind Speed, m s-1)
sea_ice_fraction (1)
quality_level (SST Measurement Quality)
pathfinder_quality_level (Pathfinder SST Quality Flag)
l2p_flags


SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite)

This dataset contains monthly composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite)

This dataset contains 8-day-composites of nighttime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite)

This dataset contains monthly composites of nighttime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


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

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

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


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

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

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


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


SST, Pathfinder Ver 5.2 (L3C), Day, Global, 0.0417°, 1981-2012, Science Quality (1 Day Composite), Lon0360


SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite), Lon0360

This dataset contains 8-day-composites of daytime sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. The source data were created using Version 5.3 of the Pathfinder algorithm and the file is nearly but not completely compliant with the GHRSST Data Specifications V2.0 (GDS2). Source data were created by the NOAA National Centers for Environmental Information (NCEI). Multi-day composites were created by NOAA CoastWatch-West Coast and NOAA/SWFSC/ERD.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
sea_ice_fraction (1)
wind_speed (10m wind speed, m s-1)
l2p_flags


SST, Pathfinder Ver 5.3 (L3C), Day, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite), Lon0360


SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (8 Day Composite), Lon0360


SST, Pathfinder Ver 5.3 (L3C), Night, Global, 0.0417°, 1981-present, Science Quality (Monthly Composite), Lon0360


GMI (GPM Microwave Imager) daily products (RSS GMI), 0.25°, 2017-present

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

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


SST, Pathfinder Ver 5.2 (L3C), Night, Global, 0.0417°, 1981-2012, Science Quality (1 Day Composite), Lon0360

Nighttime measurements from the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Version 5.2 L3-Collated (L3C) sea surface temperature. This netCDF-4 file contains sea surface temperature (SST) data produced as part of the AVHRR Pathfinder SST Project. These data were created using Version 5.2 of the Pathfinder algorithm and the file is nearly but not completely compliant with the Global High-Resolution Sea Surface Temperature (GHRSST) Data Specifications V2.0 (GDS2).  The file does not encode time according to the GDS2 specifications, and the sses_bias and sses_standard_deviation variables are empty.  Full compliance with GDS2 specifications will be achieved in the future Pathfinder Version 6. These data were created as a partnership between the University of Miami and the US NOAA/National Oceanographic Data Center (NODC).

2014-02-11 Files downloaded from https://data.nodc.noaa.gov/pathfinder/Version5.2 to NOAA NMFS SWFSC ERD by erd.data@noaa.gov . Aggregated with reference times from the dates in the file names. Removed other, misleading time values from the file names and the data files. Removed empty sses_bias and sses_standard_deviation variables. Fixed the incorrect add_offset and scale_factor for aerosol_dynamic_indicator in file from 1981 through 2000.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (NOAA Climate Data Record of Sea Surface Skin Temperature, degree_C)
dt_analysis (Deviation from Last SST Analysis (NCDC Daily OI), degree_C)
wind_speed (10m Wind Speed, m s-1)
sea_ice_fraction (1)
quality_level (SST Measurement Quality)
pathfinder_quality_level (Pathfinder SST Quality Flag)
l2p_flags


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


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


NOS CO-OPS Meteorological Data, Wind, 6-Minute

This dataset has Wind data from NOAA NOS Center for Operational Oceanographic
Products and Services (CO-OPS).

WARNING: These preliminary data have not been subjected to the National Ocean
Services (NOS) Quality Control procedures, and do not necessarily meet the
criteria and standards of official NOS data. They are released for limited
public use with appropriate caution.

WARNING:
* Queries for data MUST include stationID= and time>=.
* Queries USUALLY include time<= (the default end time corresponds to 'now').
* Queries MUST be for less than 30 days worth of data.
* The data source isn't completely reliable. If your request returns no data
  when you think it should:
  * Try revising the request (e.g., a different time range).
  * The list of stations offering this data may be incorrect.
  * Sometimes a station or the entire data service is unavailable.
    Wait a while and try again.

cdm_data_type = TimeSeries
VARIABLES:
stationID (Station ID)
stationName (Station Name)
state
dateEstablished (Date Established, seconds since 1970-01-01T00:00:00Z)
shefID (SHEF ID)
deployment (Deployment Designation)
longitude (degrees_east)
latitude (degrees_north)
time (seconds since 1970-01-01T00:00:00Z)
dcp (Data Collection Platform)
... (6 more variables)


NDBC Standard Meteorological Buoy Data, 1970-present

The National Data Buoy Center (NDBC) distributes meteorological data from
moored buoys maintained by NDBC and others. Moored buoys are the weather
sentinels of the sea. They are deployed in the coastal and offshore waters
from the western Atlantic to the Pacific Ocean around Hawaii, and from the
Bering Sea to the South Pacific. NDBC's moored buoys measure and transmit
barometric pressure; wind direction, speed, and gust; air and sea
temperature; and wave energy spectra from which significant wave height,
dominant wave period, and average wave period are derived. Even the
direction of wave propagation is measured on many moored buoys. See
https://www.ndbc.noaa.gov/measdes.shtml for a description of the measurements.

The source data from NOAA NDBC has different column names, different units,
and different missing values in different files, and other problems
(notably, lots of rows with duplicate or different values for the same time
point). This dataset is a standardized, reformatted, and lightly edited
version of that source data, created by NOAA NMFS SWFSC ERD (email:
erd.data at noaa.gov). Before 2020-01-29, this dataset only had the data
that was closest to a given hour, rounded to the nearest hour. Now, this
dataset has all of the data available from NDBC with the original time
values. If there are multiple source rows for a given buoy for a given
time, only the row with the most non-NaN data values is kept. If there is
a gap in the data, a row of missing values is inserted (which causes a nice
gap when the data is graphed). Also, some impossible data values are
removed, but this data is not perfectly clean. This dataset is now updated
every 5 minutes.

This dataset has both historical data (quality controlled, before
2023-12-01T00:00:00Z) and near real time data (less quality controlled,
which may change at any time, from 2024-01-01T00:00:00Z on).

cdm_data_type = TimeSeries
VARIABLES:
station (Station Identifier)
... (19 more variables)


vwsh.tropo.mon.mean (NARR Monthly Means) [time][y][x], 1979-present

NARR Monthly Means (vwsh.tropo.mon.mean)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
vwsh (Monthly Vertical Speed Shear, 1/s)

National Centers for Environmental Prediction


ICOADS 2-degree Standard (wspd.mean), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.mean)

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


ICOADS 1-degree Standard (wspd.mean), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.mean)

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


ICOADS 2-degree Enhanced (wspd.mean), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.mean)

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


PacIOOS Weather Station: Honolulu Harbor Entrance, Oahu, Hawaii

The Pacific Islands Ocean Observing System (PacIOOS) operates a Davis Instruments automatic weather station (AWS) near the entrance to Honolulu Harbor on the leeward (western) coast of Oahu in Hawaii to aid with navigation. The station records measurements every 5 minutes of air temperature, wind speed and direction, precipitation, relative humidity, and air pressure. Sensors are located at Pier 1, installed on a tower at an elevation of 64 feet (19.5 meters) above sea level. The station is owned by the Hawaii Pilots Association (HPA). PacIOOS maintains the station and provides data access.

cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
altitude (Distance above mean sea level, m)
station_name (station)
air_temperature (air temperature (processed), Celsius)
wind_speed (wind speed (processed), m/s)
gust_speed (gust speed (processed), m/s)
wind_from_direction (wind direction (processed), degrees)
rainfall_rate (rain rate (processed), mm/h)
relative_humidity (relative humidity (processed), %)
air_pressure (air pressure (processed), millibars)
air_temperature_raw (air temperature (raw), Celsius)
air_temperature_dm_qd (air temperature delayed-mode quality descriptor, 1)
air_temperature_qc_agg (QARTOD Aggregate/Rollup Test (processed), 1)
air_temperature_qc_gap (QARTOD Gap Test (processed), 1)
air_temperature_qc_syn (QARTOD Syntax Test (processed), 1)
air_temperature_qc_loc (QARTOD Location Test (processed), 1)
air_temperature_qc_rng (QARTOD Gross Range Test (processed), 1)
air_temperature_qc_clm (QARTOD Climatology Test (processed), 1)
air_temperature_qc_spk (QARTOD Spike Test (processed), 1)
... (92 more variables)


ICOADS 1-degree Enhanced (wspd.mean), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.mean)

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


ICOADS 1-degree Standard (wspd.mean day), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 2-degree Standard (wspd.mean day), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 2-degree Standard (wspd.sextile3), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 1-degree Enhanced (wspd.mean day), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 1-degree Standard (wspd.sextile3), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 2-degree Enhanced (wspd.mean day), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 2-degree Enhanced (wspd.sextile3), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 2-degree Standard (wspd.sextile1), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 2-degree Standard (wspd.sextile5), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 1-degree Enhanced (wspd.sextile3), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Standard (wspd.mean), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.mean)

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


ICOADS 1-degree Standard (wspd.day fraction), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 1-degree Standard (wspd.sextile1), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 1-degree Standard (wspd.sextile5), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 2-degree Enhanced (wspd.sextile1), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 2-degree Enhanced (wspd.sextile5), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 2-degree Standard (wspd.day fraction), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 2-degree Standard (wspd.mean lat), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Enhanced (wspd.day fraction), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 1-degree Enhanced (wspd.sextile1), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 1-degree Enhanced (wspd.sextile5), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Enhanced (wspd.mean), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.mean)

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


ICOADS 1-degree Standard (wspd.mean lat), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Standard (wspd.mean lon), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 2-degree Enhanced (wspd.day fraction), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 2-degree Enhanced (wspd.mean lat), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 2-degree Enhanced (wspd.mean lon), 2.0°, 1800-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


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

Monthly NARR (vwsh.tropo.mon.ltm)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
vwsh (Long Term Monthly Mean Vertical Speed Shear, 1/s)

National Centers for Environmental Prediction


ICOADS 1-degree Enhanced (wspd.mean lat), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Enhanced (wspd.mean lon), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Equatorial Standard (wspd.mean day), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 1-degree Equatorial Enhanced (wspd.mean day), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 1-degree Equatorial Standard (wspd.sextile1), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Standard (wspd.sextile3), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Standard (wspd.sextile5), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Enhanced (wspd.sextile1), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Enhanced (wspd.sextile3), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Enhanced (wspd.sextile5), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Standard (wspd.day fraction), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 1-degree Equatorial Standard (wspd.mean lat), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Equatorial Standard (wspd.mean lon), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 2-degree Standard (wspd.mean), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.mean)

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


ICOADS 1-degree Equatorial Enhanced (wspd.day fraction), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 1-degree Equatorial Enhanced (wspd.mean lat), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Equatorial Enhanced (wspd.mean lon), 1.0°, 1960-2016

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Standard (wspd.mean), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.mean)

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


ICOADS 2-degree Enhanced (wspd.mean), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.mean)

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


ICOADS 1-degree Enhanced (wspd.mean), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.mean)

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


ICOADS 2-degree Standard (wspd.mean day), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 1-degree Standard (wspd.mean day), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 2-degree Enhanced (wspd.mean day), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 2-degree Standard (wspd.sextile3), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 1-degree Enhanced (wspd.mean day), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 1-degree Standard (wspd.sextile1), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 1-degree Standard (wspd.sextile3), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 1-degree Standard (wspd.sextile5), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 2-degree Enhanced (wspd.sextile3), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 2-degree Standard (wspd.day fraction), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 2-degree Standard (wspd.sextile1), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 2-degree Standard (wspd.sextile5), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 1-degree Enhanced (wspd.sextile1), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 1-degree Enhanced (wspd.sextile3), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 1-degree Enhanced (wspd.sextile5), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Standard (wspd.mean), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.mean)

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


ICOADS 1-degree Standard (wspd.day fraction), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 1-degree Standard (wspd.mean lat), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Standard (wspd.mean lon), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Standard (wspd.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 2-degree Enhanced (wspd.day fraction), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 2-degree Enhanced (wspd.sextile1), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 2-degree Enhanced (wspd.sextile5), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 2-degree Standard (wspd.mean lat), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 2-degree Standard (wspd.mean lon), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Standard (wspd.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Enhanced (wspd.day fraction), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 1-degree Enhanced (wspd.mean lat), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Enhanced (wspd.mean lon), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Enhanced (wspd.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Equatorial Enhanced (wspd.mean), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.mean)

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


ICOADS 2-degree Enhanced (wspd.mean lat), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 2-degree Enhanced (wspd.mean lon), 2.0°, 1800-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2-degree Enhanced (wspd.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Equatorial Standard (wspd.mean day), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 1-degree Equatorial Standard (wspd.sextile3), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Enhanced (wspd.mean day), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.mean day)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_day at Surface, days)


ICOADS 1-degree Equatorial Enhanced (wspd.sextile3), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.sextile3)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 3rd Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Standard (wspd.sextile1), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Standard (wspd.sextile5), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Enhanced (wspd.sextile1), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.sextile1)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 1st Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Enhanced (wspd.sextile5), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.sextile5)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly 5th Sextile at Surface, m/s)


ICOADS 1-degree Equatorial Standard (wspd.day fraction), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 1-degree Equatorial Standard (wspd.mean lat), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Equatorial Standard (wspd.mean lon), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Standard (wspd.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


ICOADS 1-degree Equatorial Enhanced (wspd.day fraction), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.day fraction)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Day_fraction at Surface)


ICOADS 1-degree Equatorial Enhanced (wspd.mean lat), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.mean lat)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lat (Off SW Corner) at Surface, degrees_north)


ICOADS 1-degree Equatorial Enhanced (wspd.mean lon), 1.0°, 1960-present

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 1-degree Equatorial Enhanced (wspd.mean lon)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Mean_lon (Off SW Corner) at Surface, degrees_east)


NCEP Real-time Marine (wspd.mean), 2.0°, 1991-2011

National Centers for Environmental Prediction (NCEP) Real-time Marine (wspd.mean)

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


ICOADS 2x2 Degree Enhanced LTM (wspd.ltm), 2.0°, 0001

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2x2 Degree Enhanced Long Term Mean (LTM) (wspd.ltm)

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)


HIMB Weather Station: Moku o Loe (Coconut Island), Oahu, Hawaii

The Hawaii Institute of Marine Biology (HIMB) automatic weather station (AWS) records hourly measurements of precipitation, air temperature, wind speed and direction, and irradiance. Sensors include an Eppley 295-385 nm ultraviolet (UV) radiometer, a LiCor 200SZ Pyranometer, and a LiCor Quantameter (400-700 nm). The sensors are located on the roof of HIMB's Point Lab on Moku o Loe (Coconut Island) in Kaneohe Bay on the windward (eastern) coast of Oahu in Hawaii. An accompanying sea water temperature sensor is located less than 10 m offshore of the weather station at a shallow depth of approximately 1 m.

cdm_data_type = TimeSeries
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
altitude (Distance above mean sea level, m)
station_name (station)
air_temperature (air temperature (processed), Celsius)
sea_water_temperature (water temperature (processed), Celsius)
wind_speed (wind speed (processed), m/s)
gust_speed (gust speed (processed), m/s)
wind_from_direction (wind direction (processed), degrees)
wind_from_direction_std (standard deviation of wind direction (processed), degrees)
rainfall_amount (total rainfall (processed), mm)
shortwave_radiation (downwelling shortwave radiation (processed), W/m2)
ultraviolet_radiation (ultraviolet radiation (processed), W/m2)
photosynthetic_radiation (photosynthetically active radiation (processed), umol m-2 s-1)
air_temperature_raw (air temperature (raw), Celsius)
air_temperature_dm_qd (air temperature delayed-mode quality descriptor, 1)
air_temperature_qc_agg (QARTOD Aggregate/Rollup Test (processed), 1)
air_temperature_qc_atn (QARTOD Attenuated Signal Test (processed), 1)
air_temperature_qc_clm (QARTOD Climatology Test (processed), 1)
air_temperature_qc_flt (QARTOD Flat Line Test (processed), 1)
... (139 more variables)

Pacific Islands Ocean Observing System (PacIOOS)


ICOADS 2x2 Degree Enhanced, Climatology % Years (wspd.ltm.perc), 2.0°, 0001

International Comprehensive Ocean Atmosphere Data Set (ICOADS) 2x2 Degree Enhanced Percentage of Years in Climatology (wspd.ltm.perc)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
wspd (Scalar Wind Monthly Percentage of Years in Climatology at Surface, percent)


Liquid Robotics Wave Glider, Honey Badger (G3), 2015, Weather. The MAGI mission is to use the Wave Glider to sample the late summer chlorophyll bloom that develops near 30°N, with the goal of using the camera and LISST-Holo to try to identify species in the blooms and then follow the development of phytoplankton aggregates. These aggregates have recently been shown to be a significant part of the total amount of carbon that sinks to the deep sea. Karl et al (2012) found that in each of the past 13 years, there was a flux of material to 4,000 m (the summer export pulse) that represented ~20% of the total annual flux. Work based on satellite ocean color data over the past decade has revealed the existence of large phytoplankton blooms in the Pacific Ocean that cover thousands of km2, persist for weeks or longer, and are often dominated by nitrogen-fixing diatom symbioses (Wilson et al. 2008). We hope to be able to examine whether this aggregation is occurring in the vast oceanic regions north and east of Hawai'i and provide a basin-scale context for the ALOHA observations. These events have proven difficult to study outside of the time series station ALOHA at Hawai'i.

cdm_data_type = Trajectory
VARIABLES:
vehicleName (Vehicle Name)
weather
feed_version
time (Datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
temperature (degree_C)
pressure (mBar)
avg_wind_speed (Wind Speed, knots)
std_dev_wind_speed (Wind Speed, knots)
avg_wind_direction (Wind From Direction, degrees_true)
std_dev_wind_direction (Wind From Direction, degrees_true)

Liquid Robotics, UT Austin, NOAA NMFS SWFSC ERD


Historical predictions of river temperature and other variables from 1990-2017. The River Assessment for Forecasting Temperature (RAFT) model is a one-dimensional heat budget model for the Sacramento River. RAFT takes the discharge temperature and flow from Keswick Dam and applies meteorological forcings from weather forecasts and historical conditions to predict the downstream temperatures for every two-kilometers of river at a sub-hourly timestep. RAFT has been run retrospectively to produce the temperature landscape for the entire river from 1990-2016. RAFT can be run in forecast mode for operations, where it predicts water temperatures 7 days out. RAFT can also be run in planning mode, where it takes output from various planning scenarios and predicts water temperatures for the entire temperature management season (February through October). One of the primary advantages of the RAFT model is that it allows for the detailed estimating of thermal exposure of salmon redds by location - which allows for calculating the egg development time and survival probability (see Survival tab). The RAFT model was developed with funding from NASA Applied Sciences and the details of the RAFT model are described in Pike et al. 2013

cdm_data_type = Other
VARIABLES:
time (Time (PST), seconds since 1970-01-01T00:00:00Z)
Dist (Distance downstream from KWK gauge, meters)
River_Temperature (Predicted daily average river temperature over RAFT grid, Deg C)
River_Discharge (Predicted daily average river discharge over RAFT grid, meter cubed per second)
Air_Temperature_Inputs (Predicted daily average air temperature over RAFT grid, Deg C)
Solar_Radiation (Predicted daily average downward solar radiation over RAFT grid, watts sqaure meter)
Wind_Speed (Predicted daily average wind speed over RAFT grid, meter per second)
Relative_Humidity (Predicted daily average relative humidity over RAFT grid, percent)
Channel_Area (Predicted daily average channel area over RAFT grid, square meters)
Channel_Width (Predicted daily average channel width over RAFT grid, meters)
Channel_Depth (Predicted daily average channel depth over RAFT grid, meters)
Channel_Velocity (Predicted daily average channel velocity over RAFT grid, meters per second)


CalCOFI NOAA Continuous Underway Fish-Egg Sampler

Samples collected using the Continuous Underway Fish-Egg Sampler, known as CUFES. The data include numbers of anchovy, sardine, jack mackerel, squid, hake, and unidentified fish eggs captured, and associated environmental data.

cdm_data_type = Other
VARIABLES:
cruise
ship (Ship Name)
ship_code
sample_number
time (Start Time, seconds since 1970-01-01T00:00:00Z)
latitude (Start Latitude, degrees_north)
longitude (Start Longitude, degrees_east)
start_temperature (degrees Celsius)
start_salinity (practical salinity units)
start_wind_speed (knotts)
start_wind_direction (degrees)
start_pump_speed (M^3 per minute)
stop_time (datetime (UTC))
stop_latitude (decimal degrees)
stop_longitude (decimal degrees)
stop_temperature (degrees Celsius)
stop_salinity (practical salinity units)
stop_wind_speed (knotts)
stop_wind_direction (degrees)
stop_pump_speed (M^3 per minute)
sardine_eggs (count)
anchovy_eggs (count)
jack_mackerel_eggs (count)
hake_eggs (count)
squid_eggs (count)
other_fish_eggs (count)


FNMOC 10m Surface Winds, 360x181, Monthly

Global monthly derived winds can be obtained for any point on the ocean
(Northern Hemisphere: 1967 - present, Southern Hemisphere: 1981 - present).

ERD was established at the U.S. Navy Fleet Numerical Meteorology and
Oceanography Center (FNMOC) to take advantage of the Navy's global
oceanographic and meteorological databases. FNMOC produces operational
forecasts of the state of the atmosphere and the ocean several times daily
and maintains archives of several important parameters, such as sea level
pressure and temperature. ERD derives a number of well-known environmental
data and index products which are routinely distributed to researchers at
many state and federal laboratories, as well as to academic and international
researchers.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
u_mean (East-West Component of 10m Surface Wind, m s-1)
v_mean (North-South Component of 10m Surface Wind, m s-1)
uv_mag_mean (Magnitude of 10m Surface Wind, m s-1)
taux_mean (East-West Component of 10m Wind Stress, N m-2)
tauy_mean (North-South Component of 10m Wind Stress, N m-2)
curl (Curl of Surface 10m Wind Stress, MPa m-1)


FNMOC 20m Surface Winds, 360x181, Monthly

Global monthly derived winds can be obtained for any point on the ocean
(Northern Hemisphere: 1967 - present, Southern Hemisphere: 1981 - present).

ERD was established at the U.S. Navy Fleet Numerical Meteorology and
Oceanography Center (FNMOC) to take advantage of the Navy's global
oceanographic and meteorological databases. FNMOC produces operational
forecasts of the state of the atmosphere and the ocean several times daily
and maintains archives of several important parameters, such as sea level
pressure and temperature. ERD derives a number of well-known environmental
data and index products which are routinely distributed to researchers at
many state and federal laboratories, as well as to academic and international
researchers.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
u_mean (East-West Component of 20m Surface Wind, m s-1)
v_mean (North-South Component of 20m Surface Wind, m s-1)
uv_mag_mean (Magnitude of 20m Surface Wind, m s-1)
taux_mean (East-West Component of 20m Wind Stress, N m-2)
tauy_mean (North-South Component of 20m Wind Stress, N m-2)
curl (Curl of Surface 20m Wind Stress, MPa m-1)


FNMOC 10m Surface Winds, 360x181, Monthly, Lon+/-180


FNMOC 20m Surface Winds, 360x181, Monthly, Lon+/-180


FNMOC Wind and Ekman Transport Data, 360x181, 6-hourly for This Month

Global monthly derived winds and transports can be obtained for any point on
the ocean (Northern Hemisphere: 1967 - present, Southern Hemisphere:
1981 - present).

ERD was established at the U.S. Navy Fleet Numerical Meteorology and
Oceanography Center (FNMOC) to take advantage of the Navy's global
oceanographic and meteorological databases. FNMOC produces operational
forecasts of the state of the atmosphere and the ocean several times daily
and maintains archives of several important parameters, such as sea level
pressure and temperature. ERD derives a number of well-known environmental
data and index products which are routinely distributed to researchers at
many state and federal laboratories, as well as to academic and international
researchers.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
P_msl (Pressure Reduced To Mean Sea Level, hPa)
u (East-West Component of Surface Wind, m s-1)
v (North-South Component of Surface Wind, m s-1)
uv_mag (Magnitude of Surface Wind, m s-1)
taux (East-West Component of Wind Stress, N m-2)
tauy (North-South Component of Wind Stress, N m-2)
curl (Curl of Surface Wind Stress, MPa m-1)
ektrx (East-West Component of Ekman Transport, kg m-1 s-1)
ektry (North-South Component of Ekman Transport, kg m-1 s-1)


The River Assessment for Forecasting Temperature (RAFT) model is a one-dimensional heat budget model for the Sacramento River. RAFT takes the discharge temperature and flow from Keswick Dam and applies meteorological forcings from weather forecasts and historical conditions to predict the downstream temperatures for every two-kilometers of river at a sub-hourly timestep. RAFT has been run retrospectively to produce the temperature landscape for the entire river from 1990-2016. RAFT can be run in forecast mode for operations, where it predicts water temperatures 7 days out. RAFT can also be run in planning mode, where it takes output from various planning scenarios and predicts water temperatures for the entire temperature management season (February through October). One of the primary advantages of the RAFT model is that it allows for the detailed estimating of thermal exposure of salmon redds by location - which allows for calculating the egg development time and survival probability (see Survival tab). The RAFT model was developed with funding from NASA Applied Sciences and the details of the RAFT model are described in Pike et al. 2013

cdm_data_type = Other
VARIABLES:
time (Time (PST), seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SimulationStartTime (Time of simulation)
ScenarioName (Name of scenario)
ModelType (Name of Model)
Air_Temperature_Inputs (Model input for air temperature, Deg F)
Relative_Humidity_Inputs (Model input for relative humidity, Percent)
Solar_Radiation_Inputs (Model input for solar radiation, Watt per square foot)
Wind_Speed_Inputs (Model input for wind speed, Miles per hour)
Cloud_Cover_Inputs (Model input for air temperature, Fraction sky)
Year (Year of historical meteorological data for forecast, Years)


FNMOC Wind and Ekman Transport Data, 360x181, 6-hourly for This Month, Lon+/-180


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 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)


Ocean Surface Winds - CCMP - 6-hour (Near Real Time), 2016-present. v2.1

CCMP_RT V2.1 has been created using the same VAM as CCMP V2.0 Input data have changed and now include all V7 radiometer data from RSS, V8.1 GMI data from RSS, scatterometer data from RSS (V4 QuikSCAT and V1.2 Advanced SCATterometer (ASCAT)), NO buoy data, and National Centers for Environmental Prediction (NCEP) GFS 0.25 degree data for the background field.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
uwnd (u-wind vector component at 10 meters, m s-1)
vwnd (v-wind vector component at 10 meters, m s-1)
nobs (number of observations used to derive wind vector components)


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 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)