Daily Northern Hemisphere Sea Level Pressure Grids, continuing from 1899

The 5-degree latitude/longitude grids contained in this dataset make up the longest continuous set of daily gridded Northern Hemisphere sea-level pressure data in the DSS archive. These grids have been assembled by DSS from the grids of various meteorological chart digitization projects and operational analyses [http://rda.ucar.edu/datasets/ds010.0/docs/data_sources]. Grids begin in 1899 and cover the Northern Hemisphere from 15N to the North Pole. The dataset continues to be updated regularly as new data become available.

In the earlier years, there is one grid per day, but from July 1962 on, there are two grids per day. Prior to 1946, the original grids had a 10-degree resolution and the intermediate points were interpolated and indicated as such. Also in this period, there are times when large numbers of gridpoints are missing, particularly over the Asian continent. For more information, see the documentation [http://rda.ucar.edu/datasets/ds010.0/docs/] about original data points.

To Access Resource:

Questions? Email Resource Support Contact:

  • Bob Dattore
    dattore@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1899-01-01T13:00:00Z
    End:  2024-12-24T12:00:00Z

Keywords

Resource Type dataset
Temporal Range Begin 1899-01-01T13:00:00Z
Temporal Range End 2024-12-24T12:00:00Z
Temporal Resolution N/A
Bounding Box North Lat 90
Bounding Box South Lat 15
Bounding Box West Long -180
Bounding Box East Long 180
Spatial Representation grid
Spatial Resolution 5 degree
Related Links N/A
Additional Information N/A
Resource Format DSS SLP Grid (Binary)
Standardized Resource Format Binary
Asset Size 137.00 MB
Legal Constraints

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

Resource Support Name Bob Dattore
Resource Support Email dattore@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce
Marine Meteorology Division, Naval Research Laboratory, Monterey, U.S. Navy, U. S. Department of Defense
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
National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
National Weather Service, NOAA, U.S. Department of Commerce
Department of Earth, Atmospheric & Planetary Sciences, Massachusetts Institute of Technology
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1979-12-05
Digital Object Identifier (DOI) https://doi.org/10.5065/7NB6-RJ33
Alternate Identifier d010000
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress onGoing
Metadata Date 2024-12-25T03:05:02Z
Metadata Record Identifier edu.ucar.rda::d010000
Metadata Language eng; USA
Suggested Citation National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce, Marine Meteorology Division, Naval Research Laboratory, Monterey, U.S. Navy, U. S. Department of Defense, 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, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce, National Weather Service, NOAA, U.S. Department of Commerce, Department of Earth, Atmospheric & Planetary Sciences, Massachusetts Institute of Technology. (1979). Daily Northern Hemisphere Sea Level Pressure Grids, continuing from 1899. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/7NB6-RJ33. Accessed 26 December 2024.

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