Hourly solar radiation in Langleys and associated three-digit data-source flag, January 1, 1948 - September 30, 2018
Dates
Start Date
1948-01-01
End Date
2018-09-30
Publication Date
2019-09-10
Citation
Bera, M., 2019, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9H8P0F7.
Summary
Note: this data release has been deprecated due to errors found in the ARGNXX.wdm file. Please see the detail in new data release at https://doi.org/10.5066/P146RBHK The text file "Solar radiation.txt" contains hourly solar radiation data in Langleys and associated data-source flags from January 1, 1948, to September 30, 2018. The primary data for water year 2018 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN17.WDM (Bera and Over, 2018) and renamed as [...]
Summary
Note: this data release has been deprecated due to errors found in the ARGNXX.wdm file. Please see the detail in new data release at https://doi.org/10.5066/P146RBHK
The text file "Solar radiation.txt" contains hourly solar radiation data in Langleys and associated data-source flags from January 1, 1948, to September 30, 2018. The primary data for water year 2018 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN17.WDM (Bera and Over, 2018) and renamed as ARGN18.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. Temporal variations in the statistical properties of the data resulting from changes in measurement and data storage methodologies were adjusted to match the statistical properties resulting from the data collection procedures that have been in place since January 1, 1989 (Over and others, 2010). The adjustments were computed based on the regressions between the primary data series from ANL and the backup series using data obtained during common periods. The statistical properties of the regressions were used to assign estimated standard errors to values that were adjusted or filled from other series. The Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2018) stations at St. Charles and DeKalb, Illinois were 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).
References Cited:
Argonne National Laboratory, 2018, Meteorological data, accessed on October 10, 2018, at http://www.atmos.anl.gov/ANLMET/.
Bera, M., and Over, T.M., 2018, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2017: U.S. Geological Survey data release, https://doi.org/10.5066/F7H1318R.
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, 2018, Illinois Climate Network: Champaign, Ill., Illinois State Water Survey, accessed on October 30, 2018, at http://dx.doi.org/10.13012/J8MW2F2Q.
This data set 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 stakeholders for the purpose of doing rainfall-runoff modeling or similar analyses.
Data is collected by Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018). The primary data for water year 2018 were downloaded from ANL and processed following the guidelines documented in Over and others (2010).