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Earth Observing Laboratory
Field Data Archive

PLOWS: Purdue Agriculture Automated Weather Stations Data

Summary

This data set contains 30-minute resolution surface meteorological data from the Purdue Automated Agricultural Weather Station (PAAWS) Network. This network includes 7 stations around the state of Indiana. This data set covers the period from 1 November 2009 through 10 March 2010. These data are in a comma-delimited ASCII format. The PAAWS network is a system of remote automatic weather stations located at each of the regional Purdue Agricultural Research Centers (ARCs) throughout Indiana and the Purdue Agronomy Research Center. The purpose of the network is to continuously measure weather elements of special interest to Purdue agricultural researchers.

Data access

  • ORDER data for delivery by FTP

Additional information

Identifier
Data Quality final
Versions
  • 1.0 (2010-04-23)
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Related projects
Spatial Type point
Frequency 30 minute
Language English
Categories
Platforms
Instruments
GCMD Science Keywords Expand keywords
Documentation
Related links

Temporal coverage

Begin datetime 2009-11-01 00:00:00
End datetime 2010-03-10 23:59:59

Spatial coverage


Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: 41.50, Minimum (South) Latitude: 38.50
Minimum (West) Longitude: -87.50, Maximum (East) Longitude: -85.00

Primary point of contact information

EOL Data Support <datahelp@eol.ucar.edu>

Additional contact information

Citation

Purdue University, Loehrer, S. 2010. PLOWS: Purdue Agriculture Automated Weather Stations Data. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/D5XJ-4RXZ-PY0S. Accessed 07 Nov 2024.

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Ancillary information

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NSF

This material is based upon work supported by the NSF National Center for Atmospheric Research, a major facility sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.