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  1. ScienceBase Catalog
  2. USGS Central Midwest Water Science Center
  3. Meteorological Database, Argonne National Laboratory, Illinois
  4. Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2015

Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2015

Dates

Start Date
1948-01-01
End Date
2015-09-30
Publication Date

Citation

Bera, M., and Over, T. M., 2016, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2015: U.S. Geological Survey data release, ​http://dx.doi.org/10.5066/F7RF5S5K.

Summary

IMPORTANT NOTE: A more recent version of this data release is available from this link. This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2016), with the processed data through September 30, 2015. The primary data for each year is downloaded from the ANL website (http://gonzalo.er.anl.gov/ANLMET/numeric/) and is processed following the guidelines documented in Over and others (2010) and Bera (2014). Hourly potential evapotranspiration computed using the computer program LXPET (Lamoreux Potential Evapotranspiration). Murphy (2005) describes in detail the computer program LXPET. References Cited: [...]

Child Items (6)

Contacts

Originator :
Maitreyee Bera, Thomas M Over
Metadata Contact :
Maitreyee Bera, Thomas M Over
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Land Resources
SDC Data Owner :
Central Midwest Water Science Center

Attached Files

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metadata_ANL_Meteorological_Database.xml
Original FGDC Metadata
View 		21.22 KB application/fgdc+xml

Purpose

The five data sets in this database may be used as input to the Hydrological Simulation Program-FORTRAN (HSPF) model or other similar rainfall-runoff model for simulating streamflow in DuPage County and nearby areas in northeastern Illinois. This database is available to public and other cooperators for doing similar streamflow simulations or meteorological analyses.

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  • USGS Central Midwest Water Science Center

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Provenance

Data source
Input directly
Data is collected by Argonne National Laboratory and is available at the website (http://gonzalo.er.anl.gov/ANLMET/numeric/). These data are processed following the guidelines documented in the reports of Over and others (2010), and Bera (2014).

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7RF5S5K

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