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Federal
Global Precipitation Climatology Project (GPCP) - Daily, Version 1.2 (Version Superseded)
National Oceanic and Atmospheric Administration, Department of Commerce —
**This version has been superseded by a newer version. This version of the data should not be used except in rare cases (e.g., when reproducing studies that used this... -
Federal
MC20 Oil On Water Sampling Photos 2018-08-15
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
Adaptive Ecosystem Climatology Beta 4 Model and Satellite Climatology
National Oceanic and Atmospheric Administration, Department of Commerce —
The Adaptive Ecosystem Climatology (AEC) is produced by the Naval Research Laboratory (NRL). It consists of two datasets covering multiple regions of the ocean. One... -
Federal
GOM OI Imagery 2016-11-17 TIR AM Run 3 - 1000'
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
GOM WM OST 20161115
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
GOM FT 2016-11-14 UV run 5
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
GOM WM 2016-11-17 0004
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
GOM Sorbent Pad 20170817
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
Adaptive Ecosystem Climatology Beta 6 Satellite Climatology
National Oceanic and Atmospheric Administration, Department of Commerce —
The Adaptive Ecosystem Climatology (AEC) is produced by the Naval Research Laboratory (NRL). It consists of two datasets covering multiple regions of the ocean. One... -
Federal
Climate Forecast System Reanalysis (CFSR), for 1979 to 2011
National Oceanic and Atmospheric Administration, Department of Commerce —
The NCEP Climate Forecast System Reanalysis (CFSR) was initially completed for the 31-year period from 1979 to 2009, in January 2010. The CFSR was designed and... -
Federal
GOM OI Imagery 2016-11-17 TIR AM Run 12 - 1000'
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
GOM OI - TOS RGB Imagery 2017-04-25
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
GOM FT 2017-08-16 IR run 1
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
GOM OI 2017-04-25 RGB 6000 V1 - 125207 UTC
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures... -
Federal
International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Near-Real-Time (NRT) - Daily, Release 3.0.2
National Oceanic and Atmospheric Administration, Department of Commerce —
The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) is the world's most extensive surface marine meteorological data collection. Building on national... -
Federal
International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 3.0 Final, Individual Reports in the International Maritime Meteorological Archive Format version 1 (IMMA1)
National Oceanic and Atmospheric Administration, Department of Commerce —
This dataset, the International Comprehensive Ocean-Atmosphere Data Set (ICOADS), is the most widely-used freely available collection of surface marine observations,... -
Federal
Near-Real Time Year Average Surface Ocean Velocity, U.S. West Coast, 2km Resolution
National Oceanic and Atmospheric Administration, Department of Commerce —
Surface ocean velocities estimated from HF-Radar are representative of the upper 1.0 meters of the ocean. The main objective of near-real time processing is to... -
Federal
Near-Real Time Subtidal Surface Ocean Velocity, U.S. West Coast, 1km Resolution
National Oceanic and Atmospheric Administration, Department of Commerce —
Surface ocean velocities estimated from HF-Radar are representative of the upper 0.5 meters of the ocean. The main objective of near-real time processing is to... -
Federal
Near-Real Time Year Average Surface Ocean Velocity, U.S. West Coast, 6km Resolution
National Oceanic and Atmospheric Administration, Department of Commerce —
Surface ocean velocities estimated from HF-Radar are representative of the upper 2.4 meters of the ocean. The main objective of near-real time processing is to... -
Federal
Marine Optical Buoy (MOBY) Filtered Spectral Radiance Files
National Oceanic and Atmospheric Administration, Department of Commerce —
This dataset contains the Marine Optical Buoy (MOBY) filtered spectral radiance files. These are TXT ASCII files. The dataset contains hyper spectral Lw, Lwn, and Es...