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 - 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_RAD_SW (short wave atmospheric radiation, watts meter-2)
in_RAD_LW (long wave atmospheric radiation, watts meter-2)
hfss (sensible heat flux, watts meter-2)
hfls (latent heat flux, watts meter-2)
tau (stress magnitude, newton meter-2)
z_over_L (dimensionless Monin-Obhukov length scale height (z/L) adjusted at 10m, meter meter-1)
... (48 more variables)


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_RAD_SW (short wave atmospheric radiation, watts meter-2)
in_RAD_LW (long wave atmospheric radiation, watts meter-2)
hfss (sensible heat flux, watts meter-2)
hfls (latent heat flux, watts meter-2)
tau (stress magnitude, newton meter-2)
tauu (zonal stress, newton meter-2)
... (56 more variables)


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_RAD_SW (short wave atmospheric radiation, watts meter-2)
in_RAD_LW (long wave atmospheric radiation, watts meter-2)
hfss (sensible heat flux, watts meter-2)
hfls (latent heat flux, watts meter-2)
tau (stress magnitude, newton meter-2)
tauu (zonal stress, newton meter-2)
... (56 more variables)