Meteorological Database, Argonne National Laboratory, Illinois
Dates
Publication Date
2024-06-17
Start Date
1948-01-01
End Date
2023-09-30
Citation
Bera, M., 2024, Meteorological Database, Argonne National Laboratory, Illinois: U.S. Geological Survey data release, https://doi.org/10.5066/P146RBHK.
Summary
This data release (DR) is the update of the U.S. Geological Survey - ScienceBase data release by Bera (2023), with the processed data through September 30, 2023. Values for the variables and flags in the text files do not exactly match with the values in the ARGN22.wdm file during the period 01/01/1948 – 09/30/2022. ARGN22.wdm (Bera, 2023) is updated with the correct meteorological data and flag for the period 01/01/1948 – 09/30/2022. The primary data for water year 2023 (a water year is the 12-month period, October 1 through September 30, in which it ends) is downloaded from ANL website (Argonne National Laboratory, 2024) and is processed following the guidelines documented in Over and others (2010). Processed WY23 data are appended [...]
Summary
This data release (DR) is the update of the U.S. Geological Survey - ScienceBase data release by Bera (2023), with the processed data through September 30, 2023. Values for the variables and flags in the text files do not exactly match with the values in the ARGN22.wdm file during the period 01/01/1948 – 09/30/2022. ARGN22.wdm (Bera, 2023) is updated with the correct meteorological data and flag for the period 01/01/1948 – 09/30/2022.
The primary data for water year 2023 (a water year is the 12-month period, October 1 through September 30, in which it ends) is downloaded from ANL website (Argonne National Laboratory, 2024) and is processed following the guidelines documented in Over and others (2010). Processed WY23 data are appended to updated ARGN22.wdm file and renamed as ARGN23.wdm. Daily potential evapotranspiration (PET) was computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation and disaggregated to hourly PET, in thousandths of an inch, using the Fortran program LXPET (Murphy, 2005) for the period 01/01/1948 – 09/30/2023.
User should note that the dewpoint temperature is larger than the air temperature for some days prior to 1990. This is physically impossible but could be a result of using the "backup" data.
This DR also describes the Watershed Data Management (WDM) database file ARGN23.WDM. ARGN23.WDM file contains nine data series: air temperature, in degrees Fahrenheit (dsn 400), dewpoint temperature, in degrees Fahrenheit (dsn 500), wind speed, in miles per hour (dsn 300), solar radiation, in Langleys (dsn 600), computed potential evapotranspiration, in thousandths of an inch (dsn 200), and four data-source flag series: for air temperature (dsn 410), dewpoint temperature (dsn 510), wind speed (dsn 310), and solar radiation (dsn 610), respectively, from January 1,1948, to September 30, 2023. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup.” The Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2024) station at St. Charles, Illinois, was used as "backup" for the hourly air temperature, solar radiation, and wind speed data. The Midwestern Regional Climate Center (Midwestern Regional Climate Center, 2024) provided the hourly dewpoint temperature and wind speed data collected by the National Weather Service from the station at O'Hare International Airport and used as "backup." Each data source flag is of the form "xyz", which allows the user to determine its source and the methods used to process the data (Over and others, 2010). This DR provides WDM file ARGN23.WDM and the following tab-delimited text files, each with data from January 1, 1948, to September 30, 2023:
"Air_temperature.txt" contains hourly air temperature data in degrees Fahrenheit and associated data-source flags.
"Dewpoint_temperature.txt" contains hourly dewpoint temperature data in degrees Fahrenheit and associated data-source flags.
"Solar_radiation.txt" contains hourly solar radiation data in Langleys and associated data-source flags.
"Wind_speed.txt" contains hourly wind speed data in miles per hour and associated data source flags.
"PET.txt" contains hourly potential evapotranspiration (PET) data, in thousandths of an inch.
Tab-delimited text files can be opened with any text editor or Microsoft Excel. To open the WDM file user needs to install SARA Timeseries utility listed in the section "Related External Resources" on this page.
References Cited:
Argonne National Laboratory, 2024, Meteorological data, accessed on January 24, 2024, at https://www.atmos.anl.gov/ANLMET/numeric/.
Bera, M., 2023, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2022: U.S. Geological Survey data release, https://doi.org/10.5066/P9XPWL51.
Midwestern Regional Climate Center, 2024, Meteorological data, accessed on January 24, 2024, at https://mrcc.purdue.edu/CLIMATE/.
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/.
Water and Atmospheric Resources Monitoring Program, Illinois Climate Network, 2024, Illinois State Water Survey, 2204 Griffith Drive, Champaign, IL 61820-7495. Data accessed on January 26, 2024, at http://dx.doi.org/10.13012/J8MW2F2Q.
Each file can be downloaded from this page. Each of the five tab-delimited text files can be opened with any text editor or Microsoft Excel. To open the WDM file user needs to install the utility described in the section "Related External Resources" on this page.
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 the public and other stakeholders for doing similar simulations or meteorological analyses.
Rights
File is available to download free of charge. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it may contain copyrighted materials if noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations.
Data is collected by Argonne National Laboratory (ANL). The primary data for water year 2023 are downloaded from ANL (Argonne National Laboratory, 2024) and processed following the guidelines documented in Over and others (2010).
