Hourly computed potential evapotranspiration in thousandths of an inch, January 1, 1948 - September 30, 2017

The text file PET.txt contains hourly data from January 1, 1948, to September 30, 2017. Daily PET in thousandths of an inch is computed from average daily air temperature in degrees Fahrenheit (°F), average daily dewpoint temperature in degrees Fahrenheit (°F), daily total wind movement in miles (mi), and daily total solar radiation in Langleys per day (Lg/d) and disaggregated to hourly PET in thousandths of an inch using the Fortran program LXPET (Murphy, 2005). The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2017) and is processed following the guidelines documented in Over and others (2010). References Cited: Argonne National Laboratory, 2017, Meteorological data, accessed on October 25, 2017, at URL http://gonzalo.er.anl.gov/ANLMET/. Murphy, E.A., 2005, Comparison of potential evapotranspiration calculated by the LXPET (Lamoreux Potential Evapotranspiration) Program and by the WDMUtil (Watershed Data Management Utility) Program: U.S. Geological Survey Open-File Report 2005-1020, 20 p., https://pubs.er.usgs.gov/publication/ofr20051020. Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.

Data and Resources

Field Value
accessLevel public
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identifier USGS:5a8c963ce4b069906054df50
metadata_type geospatial
modified 20200814
old-spatial -87.8948, 41.6014, -88.0948, 41.8014
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
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spatial {"type": "Polygon", "coordinates": [[[-87.8948, 41.6014], [-87.8948, 41.8014], [ -88.0948, 41.8014], [ -88.0948, 41.6014], [-87.8948, 41.6014]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • air-temperature
  • amerigeo
  • amerigeoss
  • argonne-national-laboratory-illinois
  • ckan
  • dekalb-illinois
  • dewpoint-temperature
  • dupage-county-illinois
  • geo
  • geoss
  • national
  • north-america
  • ohare-international-airport-illinois
  • potential-evapotranspiration
  • solar-radiation
  • st-charles-illinois
  • united-states
  • usgs-5a8c963ce4b069906054df50
  • wind-speed
isopen False
license_id notspecified
license_title License not specified
maintainer Maitreyee Bera
maintainer_email mbera@usgs.gov
metadata_created 2025-11-19T22:07:59.703449
metadata_modified 2025-11-19T22:07:59.703453
notes The text file PET.txt contains hourly data from January 1, 1948, to September 30, 2017. Daily PET in thousandths of an inch is computed from average daily air temperature in degrees Fahrenheit (°F), average daily dewpoint temperature in degrees Fahrenheit (°F), daily total wind movement in miles (mi), and daily total solar radiation in Langleys per day (Lg/d) and disaggregated to hourly PET in thousandths of an inch using the Fortran program LXPET (Murphy, 2005). The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2017) and is processed following the guidelines documented in Over and others (2010). References Cited: Argonne National Laboratory, 2017, Meteorological data, accessed on October 25, 2017, at URL http://gonzalo.er.anl.gov/ANLMET/. Murphy, E.A., 2005, Comparison of potential evapotranspiration calculated by the LXPET (Lamoreux Potential Evapotranspiration) Program and by the WDMUtil (Watershed Data Management Utility) Program: U.S. Geological Survey Open-File Report 2005-1020, 20 p., https://pubs.er.usgs.gov/publication/ofr20051020. Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.
num_resources 2
num_tags 19
title Hourly computed potential evapotranspiration in thousandths of an inch, January 1, 1948 - September 30, 2017