Catalog - Data.gov

Found 175 datasets matching "OI".

Federal
NOAA Optimum Interpolation (OI) SST V2
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2023-01-29T00:00:00.000+00:00
The optimum interpolation (OI) sea surface temperature (SST) analysis is produced weekly on a one-degree grid. The analysis uses in situ and satellite SST's plus SST's simulated by sea-ice cover....
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Search relevance: 85.79 | Views last month: 0
Federal
SST, GHRSST Blended, MW-IR-OI, Science Quality, Global, 2006-2011 (1 Day Composite), Lon0360
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2022-09-04T00:00:00.000+00:00
THIS DATASET WILL NOT BE UPDATED AFTER 2011-05-23. This dataset was terminated with the demise of the AMSR-E sensor on Aqua. Analyzed Foundation, Microwave + InfraRed Optimally Interpolated,...
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Search relevance: 73.65 | Views last month: 1
Federal
SST, GHRSST Blended, MW-IR-OI-RT, Near Real Time, Global, 2006-2012 (1 Day Composite)
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2022-09-04T00:00:00.000+00:00
Analyzed Foundation, Microwave + InfraRed Optimally Interpolated, Near Real Time, Global, Sea Surface Temperature data. The through-cloud capabilities of microwave radiometers provide a valuable...
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Search relevance: 72.81 | Views last month: 1
Federal
SST, GHRSST Blended, MW-IR-OI, Science Quality, Global, 2006-2011 (1 Day Composite)
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2022-09-04T00:00:00.000+00:00
THIS DATASET WILL NOT BE UPDATED AFTER 2011-05-23. This dataset was terminated with the demise of the AMSR-E sensor on Aqua. Analyzed Foundation, Microwave + InfraRed Optimally Interpolated,...
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Search relevance: 71.71 | Views last month: 2
Federal
SST, GHRSST Blended, MW-IR-OI-RT, Near Real Time, Global, 2006-2012 (1 Day Composite), Lon0360
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2022-09-04T00:00:00.000+00:00
Analyzed Foundation, Microwave + InfraRed Optimally Interpolated, Near Real Time, Global, Sea Surface Temperature data. The through-cloud capabilities of microwave radiometers provide a valuable...
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Search relevance: 70.30 | Views last month: 4
Federal
SST, Daily Optimum Interpolation (OI), AVHRR Only, Version 2, Final, Global, 0.25°, 1982-2020
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2022-08-29T00:00:00.000+00:00
[There is a newer version of this dataset: ncdcOisst21Agg .] Reynolds, et al.(2007) Daily High-resolution Blended Analyses. This version of the dataset contains the final version of the data....
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Search relevance: 58.70 | Views last month: 0
Federal
GOM OI Imagery 2016-11-14 RGB
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 56.24 | Views last month: 2
Federal
SST, Daily Optimum Interpolation (OI), AVHRR Only, Version 2, Final, Global, 0.25°, 1982-2020, Lon+/-180
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2022-09-01T00:00:00.000+00:00
[There is a newer version of this dataset: ncdcOisst21Agg .] Reynolds, et al.(2007) Daily High-resolution Blended Analyses. This version of the dataset contains the final version of the data....
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Search relevance: 56.10 | Views last month: 0
Federal
GOM OI - Flight Trackline 2017-04-26
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 55.21 | Views last month: 0
Federal
GOM OI Imagery 2016-11-17 RGB PM - 1000'
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 54.01 | Views last month: 2
Federal
GOM OI 2017-04-25 TIR 6000 - 130052 UTC
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 54.01 | Views last month: 0
Federal
GOM OI Imagery 2016-11-15 RGB
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 53.37 | Views last month: 0
Federal
GOM OI - TOS Oil Classification 2017-04-25
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 52.98 | Views last month: 0
Federal
GOM OI - Flight Trackline 2017-04-25
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 52.28 | Views last month: 0
Federal
GOM OI 2017-04-25 RGB 6000 V1 - 125207 UTC
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 52.00 | Views last month: 0
Federal
GOM OI 2017-04-25 TIR 6000 V2 - 125207 UTC
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 52.00 | Views last month: 0
Federal
GOM OI 2017-04-26 TIR 6000 - 141412 UTC
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 51.87 | Views last month: 2
Federal
GOM OI 2017-04-26 RGB 6000 - 141412 UTC
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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- none
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Search relevance: 51.87 | Views last month: 0
Federal
GOM OI 2017-04-25 RGB 6000 - 130052 UTC
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 51.87 | Views last month: 0
Federal
GOM OI - TOS RGB Imagery 2017-04-25
- Organization: National Oceanic and Atmospheric Administration, Department of Commerce
- Updated: 2019-08-16T00:00:00.000+00:00
These data were collected as part of the National Oceanic and Atmospheric’s (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using Remote Sensing Platforms...
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Search relevance: 51.21 | Views last month: 0

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