* The List of All Active Datasets in this ERDDAP *

This dataset is a table which has a row of information for each dataset currently active in this ERDDAP.

cdm_data_type = Other
VARIABLES:
datasetID (Dataset ID)
accessible
institution
dataStructure (Data Structure)
cdm_data_type (Common Data Model Type)
class (ERDDAP Class)
title
minLongitude (Minimum Longitude, degrees_east)
maxLongitude (Maximum Longitude, degrees_east)
longitudeSpacing (Average Grid Longitude Spacing, degrees_east)
minLatitude (Minimum Latitude, degrees_north)
maxLatitude (Maximum Latitude, degrees_north)
latitudeSpacing (Average Grid Latitude Spacing, degrees_north)
minAltitude (Minimum Altitude (or negative Depth), m)
maxAltitude (Maximum Altitude (or negative Depth), m)
minTime (Minimum Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Maximum Time, seconds since 1970-01-01T00:00:00Z)
timeSpacing (Average Grid Time Spacing, seconds)
griddap (Base URL of OPeNDAP Grid Service)
subset (URL of Subset Web Page)
tabledap (Base URL of OPeNDAP Table/Sequence Service)
MakeAGraph (URL of Make-A-Graph Web Page)
sos (Base URL of SOS Service)
wcs (Base URL of WCS Service)
wms (Base URL of WMS Service)
files (Base URL of "files" Service)
... (10 more variables)


Air-sea fluxes derived using bulk formulas from a subset of the International Comprehensive Ocean-Atmosphere Dataset (ICOADS) R3.1.0 (1990-2014; https://doi.org/10.5065/D6ZS2TR3) and R3.0.2 (2015-2020; https://rda.ucar.edu/datasets/d548003/). Fluxes are derived from ship-based and mooring-based observations and are available for the period 1990-2020. These fluxes are derived from individual marine weather and ocean reports and are provided at the time and location of the original observations. The NOC Run includes bias corrected air temperature values from Morice, C. P., Berry, D. I., Cornes, R. C., Cowtan, K., Cropper, T., Hawkins, E., Kennedy, J. J., Osborn, T. J., Rayner, N. A., Rivas, B. R., Schurer, A. P., Taylor, M., Teleti, P. R., Wallis, E. J., Winn, J., and Kent, E. C.: An observational record of global gridded near surface air temperature change over land and ocean from 1781, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-500, in review, 2024.

cdm_data_type = Point
VARIABLES:
index
uid (ICOADS unique record identfier, Base 36)
id (ICOADS platform identification/call sign)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
shf (sensible heat flux, watts meter-2)
lhf (latent heat flux, watts meter-2)
tau (stress magnitude, newton meter-2)
tau_u (zonal stress, newton meter-2)
tau_v (meridional stress, newton meter-2)
u_star (friction velocity magnitude (u*), meter second-1)
u_star_u (zonal friction velocity, meter second-1)
u_star_v (meridional friction velocity, meter second-1)
t_star (potential temperature scaling parameter (T*), degree_C)
q_star (specific humidity scaling parameter (q*), kilogram kilogram-1)
z_over_L (dimensionless Obhukov length scale height (z/L) adjusted to 10m (z))
... (64 more variables)


ICOADS Fluxes B23 version 1.03 w/ NOC adjusted AT

Air-sea fluxes derived using bulk formulas from a subset of the International Comprehensive Ocean-Atmosphere Dataset (ICOADS) R3.1.0 (1990-2014; https://doi.org/10.5065/D6ZS2TR3) and R3.0.2 (2015-2020; https://rda.ucar.edu/datasets/d548003/). Fluxes are derived from ship-based and mooring-based observations and are available for the period 1990-2020. These fluxes are derived from individual marine weather and ocean reports and are provided at the time and location of the original observations. The NOC Run includes bias corrected air temperature values from Morice, C. P., Berry, D. I., Cornes, R. C., Cowtan, K., Cropper, T., Hawkins, E., Kennedy, J. J., Osborn, T. J., Rayner, N. A., Rivas, B. R., Schurer, A. P., Taylor, M., Teleti, P. R., Wallis, E. J., Winn, J., and Kent, E. C.: An observational record of global gridded near surface air temperature change over land and ocean from 1781, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-500, in review, 2024.

cdm_data_type = Point
VARIABLES:
index
uid (ICOADS unique record identfier, Base 36)
id (ICOADS platform identification/call sign)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
shf (sensible heat flux, watts meter-2)
lhf (latent heat flux, watts meter-2)
tau (stress magnitude, newton meter-2)
tau_u (zonal stress, newton meter-2)
tau_v (meridional stress, newton meter-2)
u_star (friction velocity magnitude (u*), meter second-1)
u_star_u (zonal friction velocity, meter second-1)
u_star_v (meridional friction velocity, meter second-1)
t_star (potential temperature scaling parameter (T*), degree_C)
q_star (specific humidity scaling parameter (q*), kilogram kilogram-1)
z_over_L (dimensionless Obhukov length scale height (z/L) adjusted to 10m (z))
... (66 more variables)


Air-sea fluxes derived using bulk formulas from a subset of the International Comprehensive Ocean-Atmosphere Dataset (ICOADS) R3.1.0 (1990-2014; https://doi.org/10.5065/D6ZS2TR3) and R3.0.2 (2015-2020; https://rda.ucar.edu/datasets/d548003/). Fluxes are derived from ship-based and mooring-based observations and are available for the period 1990-2020. These fluxes are derived from individual marine weather and ocean reports and are provided at the time and location of the original observations. The NOC Run includes bias corrected air temperature values from Morice, C. P., Berry, D. I., Cornes, R. C., Cowtan, K., Cropper, T., Hawkins, E., Kennedy, J. J., Osborn, T. J., Rayner, N. A., Rivas, B. R., Schurer, A. P., Taylor, M., Teleti, P. R., Wallis, E. J., Winn, J., and Kent, E. C.: An observational record of global gridded near surface air temperature change over land and ocean from 1781, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-500, in review, 2024.

cdm_data_type = Point
VARIABLES:
index
uid (ICOADS unique record identfier, Base 36)
id (ICOADS platform identification/call sign)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
shf (sensible heat flux, watts meter-2)
lhf (latent heat flux, watts meter-2)
tau (stress magnitude, newton meter-2)
tau_u (zonal stress, newton meter-2)
tau_v (meridional stress, newton meter-2)
u_star (friction velocity that includes gustiness, u*, m/s)
t_star (bulk air temperature scaling parameter, degree_C)
q_star (bulk air specific humidity scaling parameter, kg/kg)
u_10_u (Zonal wind vector component height adjusted to 10m, meter second-1)
u_10_v (Meridional wind vector component height adjusted to 10m, meter second-1)
u_10 (wind speed at reference height (user can select height at input), meter second-1)
... (64 more variables)


ICOADS Fluxes C36 version 1.02 w/ NOC adjusted AT

Air-sea fluxes derived using bulk formulas from a subset of the International Comprehensive Ocean-Atmosphere Dataset (ICOADS) R3.1.0 (1990-2014; https://doi.org/10.5065/D6ZS2TR3) and R3.0.2 (2015-2020; https://rda.ucar.edu/datasets/d548003/). Fluxes are derived from ship-based and mooring-based observations and are available for the period 1990-2020. These fluxes are derived from individual marine weather and ocean reports and are provided at the time and location of the original observations. The NOC Run includes bias corrected air temperature values from Morice, C. P., Berry, D. I., Cornes, R. C., Cowtan, K., Cropper, T., Hawkins, E., Kennedy, J. J., Osborn, T. J., Rayner, N. A., Rivas, B. R., Schurer, A. P., Taylor, M., Teleti, P. R., Wallis, E. J., Winn, J., and Kent, E. C.: An observational record of global gridded near surface air temperature change over land and ocean from 1781, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-500, in review, 2024.

cdm_data_type = Point
VARIABLES:
index
uid (ICOADS unique record identfier, Base 36)
id (ICOADS platform identification/call sign)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
shf (sensible heat flux, watts meter-2)
lhf (latent heat flux, watts meter-2)
tau (stress magnitude, newton meter-2)
tau_u (zonal stress, newton meter-2)
tau_v (meridional stress, newton meter-2)
u_star (friction velocity that includes gustiness, u*, m/s)
t_star (bulk air temperature scaling parameter, degree_C)
q_star (bulk air specific humidity scaling parameter, kg/kg)
u_10_u (Zonal wind vector component height adjusted to 10m, meter second-1)
u_10_v (Meridional wind vector component height adjusted to 10m, meter second-1)
u_10 (wind speed at reference height (user can select height at input), meter second-1)
... (66 more variables)


ICOADS Fluxes S88 version 1.02 w/ NOC adjusted AT


NOAA PSL Hourly Ship Flux Synthesis v1.0

Release of the hourly database containing 55 cruises spanning over 31 years, including the historical data from 12 cruises done in the 1990's (Fairall et al., 2003) and 9 cruises of the PACS/EPIC dataset. Data collected from these cruises are critical for supporting the study of physical oceanography, air-sea interaction, tropical meteorology, as well as global weather and climate variability and predictability. This includes improvement to our fundamental understanding of these processes in the ocean and their influence around the globe including the Continental United States. The data will also support improvement and validation of prediction models including parameterizations. Sensible heat flux was computed from vertical velocity - sonic temperature covariance. The humidity contribution to sonic temperature was removed using the bulk latent heat flux.

cdm_data_type = Trajectory
VARIABLES:
cruise_name
time (posixtime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
cog (course-over-ground, degree)
sog (speed-over-ground, m/s)
heading (degree)
flag_bad_ship (flag 1 = ship maneuvering = questionable state variables and fluxes, 1)
flag_bad_bulk (flag 1 = wind from aft = questionable state variables and bulk fluxes, 1)
year (year)
month (month)
day (day)
hour (hour)
tair (NOAA air temperature at z_tair, degree_Celsius)
tair_ship (ship air temperature, degree_Celsius)
tair_2 (NOAA 2 m air temperature, degree_Celsius)
tair_10 (NOAA 10 m air temperature, degree_Celsius)
tair_10N (NOAA 10 m neutral air temperature, degree_Celsius)
... (101 more variables)

(1) NOAA Physical Sciences Lab (PSL); (2) CIRES Cooperative Institute for Research in Environmental Sciences at the University of Colorado Boulder in partnership with NOAA PSL


SAMOS Air-Sea Fluxes (version 3.00) - C36

SAMOS Air-Sea Fluxes - C36. These data are all of the input variables and the relevant output variables of bulk flux calculations done on ship observations using the COARE 3.6 flux algorithm. When redundant instruments exist, the sensors used for calculations are chosen based on the amount of good data available, determined on a per day basis, using an updated method of the one described in Smith, S. R., N. Lopez, and M. A. Bourassa, 2016: SAMOS air-sea fluxes: 2005-2014. Geoscience Data Journal, 3, 9-19, https://doi.org/10.1002/gdj3.34.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
platform_call_sign
platform_name
cruise_name
latitude (degrees_north)
longitude (degrees_east)
in_T (air temperature, degree_C)
in_T_height (air temperature sensor height, meter)
in_RH (relative humidity, percent)
in_RH_height (relative humidity sensor height, meter)
in_TS (sea temperature, degree_C)
in_TS_depth (sea temperature sensor depth, m)
in_SPD (earth relative wind speed, meter second-1)
in_SPD_height (wind speed sensor height, meter)
in_DIR (earth relative wind direction, degrees)
in_P (atmospheric pressure, millibar)
in_SSPS (sea_water_absolute_salinity)
in_RAD_SW
in_RAD_LW
in_RRATE
shf (sensible heat flux, watts meter-2)
lhf (latent heat flux, watts meter-2)
... (78 more variables)


SAMOS Air-Sea Fluxes (version 3.00) - S88

SAMOS Air-Sea Fluxes - S88. These data are all of the input variables and the relevant output variables of bulk flux calculations done on ship observations using the 1988 version of the Smith flux algorithm. When redundant instruments exist, the sensors used for calculations are chosen based on the amount of good data available, determined on a per day basis, using an updated method of the one described in Smith, S. R., N. Lopez, and M. A. Bourassa, 2016: SAMOS air-sea fluxes: 2005-2014. Geoscience Data Journal, 3, 9-19, https://doi.org/10.1002/gdj3.34.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
platform_call_sign
platform_name
cruise_name
latitude (degrees_north)
longitude (degrees_east)
in_T (air temperature, degree_C)
in_T_height (air temperature sensor height, meter)
in_RH (relative humidity, percent)
in_RH_height (relative humidity sensor height, meter)
in_TS (sea temperature, degree_C)
in_TS_depth (sea temperature sensor depth, m)
in_SPD (earth relative wind speed, meter second-1)
in_SPD_height (wind speed sensor height, meter)
in_DIR (earth relative wind direction, degrees)
in_P (atmospheric pressure, millibar)
in_SSPS (sea_water_absolute_salinity)
shf (sensible heat flux, watts meter-2)
lhf (latent heat flux, watts meter-2)
tau (stress magnitude, newton meter-2)
tau_u (zonal stress, newton meter-2)
tau_v (meridional stress, newton meter-2)
... (60 more variables)


SAMOS Air-Sea Fluxes (version 3.01) - B23

SAMOS Air-Sea Fluxes - B23. These data are all of the input variables and the relevant output variables of bulk flux calculations done on ship observations using the 2023 version of the Bourassa flux algorithm. When redundant instruments exist, the sensors used for calculations are chosen based on the amount of good data available, determined on a per day basis, using an updated method of the one described in Smith, S. R., N. Lopez, and M. A. Bourassa, 2016: SAMOS air-sea fluxes: 2005-2014. Geoscience Data Journal, 3, 9-19, https://doi.org/10.1002/gdj3.34.

cdm_data_type = Point
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
platform_call_sign
platform_name
cruise_name
latitude (degrees_north)
longitude (degrees_east)
in_T (air temperature, degree_C)
in_T_height (air temperature sensor height, meter)
in_RH (relative humidity, percent)
in_RH_height (relative humidity sensor height, meter)
in_TS (sea temperature, degree_C)
in_TS_depth (sea temperature sensor depth, m)
in_SPD (earth relative wind speed, meter second-1)
in_SPD_height (wind speed sensor height, meter)
in_DIR (earth relative wind direction, degrees)
in_P (atmospheric pressure, millibar)
in_SSPS (salinity, g kg-1)
shf (sensible heat flux, watts meter-2)
lhf (latent heat flux, watts meter-2)
tau (stress magnitude, newton meter-2)
tau_u (zonal stress, newton meter-2)
tau_v (meridional stress, newton meter-2)
... (60 more variables)