International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 3, Monthly Summaries

The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) is a global ocean marine meteorological and surface ocean dataset. It is formed by merging many national and international data sources that contain measurements and visual observations from ships (merchant, navy, research), moored and drifting buoys, coastal stations, and other marine platforms. The coverage is global and sampling density varies depending on date and geographic position relative to shipping routes and ocean observing systems. The monthly summary time series are available at 2-degree (since 1800) and 1-degree (since 1960) spatial resolutions. Observations (22 observed and computed parameters) taken in each month for a give spatial latitude by longitude box are statistically summarized (e.g. mean, median, number of observations, etc) and NOT interpolated or analyzed to fill data voids.

To Access Resource:

Questions? Email Resource Support Contact:

  • Zaihua Ji
    zji@ucar.edu
    NSF NCAR - Geoscience Data Exchange

Temporal Range

  • Begin:  1800-01-01
    End:  2021-11-30

Keywords

Resource Type dataset
Temporal Range Begin 1800-01-01
Temporal Range End 2021-11-30
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Resource #1 : ICOADS Project Page at NOAA NCEI
Additional Information N/A
Resource Format Binary
Standardized Resource Format Binary
Asset Size 9672 MB
Legal Constraints

Creative Commons Attribution 4.0 International License
Access Constraints None
Software Implementation Language N/A

Resource Support Name Zaihua Ji
Resource Support Email zji@ucar.edu
Resource Support Organization NSF NCAR - Geoscience Data Exchange
Distributor NSF NCAR Geoscience Data Exchange
Metadata Contact Name N/A
Metadata Contact Email datahelp@ucar.edu
Metadata Contact Organization NSF NCAR Geoscience Data Exchange

Author Department of Atmospheric Science, University of Washington
Met Office, Ministry of Defence, United Kingdom
Research Data Archive, Computational and Information Systems Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Cooperative Institute for Research in Environmental Sciences, University of Colorado
Deutscher Wetterdienst (German Meteorological Service), Germany
National Oceanography Centre, University of Southampton
Center for Ocean-Atmospheric Prediction Studies, Florida State University
Physical Sciences Laboratory, Earth System Research Laboratory, OAR, NOAA, U.S. Department of Commerce
National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
Publisher NSF National Center for Atmospheric Research
Publication Date 2016-05-09
Digital Object Identifier (DOI) https://doi.org/10.5065/D6V40SFD
Alternate Identifier d548001
Resource Version N/A
Topic Category oceans
Progress onGoing
Metadata Date 2025-10-03T00:45:43Z
Metadata Record Identifier edu.ucar.gdex::d548001
Metadata Language eng; USA
Suggested Citation Department of Atmospheric Science, University of Washington, Met Office, Ministry of Defence, United Kingdom, Research Data Archive, Computational and Information Systems Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research, Cooperative Institute for Research in Environmental Sciences, University of Colorado, Deutscher Wetterdienst (German Meteorological Service), Germany, National Oceanography Centre, University of Southampton, Center for Ocean-Atmospheric Prediction Studies, Florida State University, Physical Sciences Laboratory, Earth System Research Laboratory, OAR, NOAA, U.S. Department of Commerce, National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce. (2016). International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 3, Monthly Summaries. NSF National Center for Atmospheric Research. https://doi.org/10.5065/D6V40SFD. Accessed 04 October 2025.

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