Missouri Commercial Agriculture Weather Station (CAWS) Network

This data set contains hourly resolution surface meteorological data from the Missouri Commercial Agriculture Weather Station (CAWS) Network. These CAWS stations are located across the state of Missouri. This data set covers the period from 01 May to 01 August 2003. There are 21 stations included within this data set. The data are in columnar ASCII format.

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    UCAR/NCAR - Earth Observing Laboratory

Temporal Range

  • Begin:  2003-05-01T00:00:00Z
    End:  2003-08-01T23:59:59Z


Resource Type dataset
Temporal Range Begin 2003-05-01T00:00:00Z
Temporal Range End 2003-08-01T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 40.30000
Bounding Box South Lat 36.00000
Bounding Box West Long -95.48000
Bounding Box East Long -89.21000
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : mesonet_MOCAWS.txt

Additional Information N/A
Resource Format N/A
Standardized Resource Format UNDEFINED FORMAT
Asset Size 6 MB
Legal Constraints


Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email eol-datahelp@ucar.edu
Resource Support Organization UCAR/NCAR - Earth Observing Laboratory
Distributor UCAR/NCAR - Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email eol-datahelp@ucar.edu
Metadata Contact Organization UCAR/NCAR - Earth Observing Laboratory

Author University of Missouri
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2008-10-07T06:50:45
Digital Object Identifier (DOI) https://doi.org/10.26023/DAFQ-1XA5-D101
Alternate Identifier 85.024
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2022-07-06T16:40:09Z
Metadata Record Identifier edu.ucar.eol::85.024
Metadata Language eng; USA
Suggested Citation University of Missouri. (2008). Missouri Commercial Agriculture Weather Station (CAWS) Network. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/DAFQ-1XA5-D101. Accessed 05 December 2023.

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