New York State Mesonet Surface Meteorological Data for IMPACTS_2022

Surface meteorological data at five minute temporal resolution from the weather stations that comprise the New York State Mesonet. Data are available in either NetCDF format for the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms 2022 (IMPACTS 2022) campaign.

To Access Resource:

Questions? Email Resource Support Contact:

  • EOL Data Support
    UCAR/NCAR - Earth Observing Laboratory

Temporal Range

  • Begin:  2022-01-01T00:00:00Z
    End:  2022-02-28T23:59:59Z


Resource Type dataset
Temporal Range Begin 2022-01-01T00:00:00Z
Temporal Range End 2022-02-28T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 46.00000
Bounding Box South Lat 40.00000
Bounding Box West Long -80.00000
Bounding Box East Long -72.00000
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Documentation #1 : README_NYS_Standard_2022.pdf

Additional Information N/A
Resource Format N/A
Standardized Resource Format UNDEFINED FORMAT
Asset Size 755 MB
Legal Constraints


Access Constraints Access to these data requires a password.
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email
Resource Support Organization UCAR/NCAR - Earth Observing Laboratory
Distributor UCAR/NCAR - Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email
Metadata Contact Organization UCAR/NCAR - Earth Observing Laboratory

Author Jerald A. Brotzge
Stacy R. Brodzik
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2022-03-21T21:49:39
Digital Object Identifier (DOI)
Alternate Identifier 608.001
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2022-04-04T21:15:01Z
Metadata Record Identifier edu.ucar.eol::608.001
Metadata Language eng; USA
Suggested Citation Jerald A. Brotzge, Stacy R. Brodzik. (2022). New York State Mesonet Surface Meteorological Data for IMPACTS_2022. 1.0. UCAR/NCAR - Earth Observing Laboratory. Accessed 28 November 2023.

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