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A resampling procedure for generating conditioned daily weather sequences

Dates

Year
2004

Citation

Clark, Martyn P, Gangopadhyay, Subhrendu, Brandon, David, Werner, Kevin, Hay, Lauren, Rajagopalan, Balaji, and Yates, David, 2004, A resampling procedure for generating conditioned daily weather sequences: Water Resources Research, v. 40, iss. 4, p. n/a-n/a.

Summary

A method is introduced to generate conditioned daily precipitation and temperature time series at multiple stations. The method resamples data from the historical record “nens” times for the period of interest (nens = number of ensemble members) and reorders the ensemble members to reconstruct the observed spatial (intersite) and temporal correlation statistics. The weather generator model is applied to 2307 stations in the contiguous United States and is shown to reproduce the observed spatial correlation between neighboring stations, the observed correlation between variables (e.g., between precipitation and temperature), and the observed temporal correlation between subsequent days in the generated weather sequence. The weather [...]

Contacts

Communities

  • USGS National Research Program

Tags

Provenance

Added to ScienceBase on Fri Apr 19 13:10:51 MDT 2013 by processing file <b>Former Project Precipitation-Runoff Modeling of Watershed Systems.xml</b> in item <a href="https://www.sciencebase.gov/catalog/item/5142425be4b0eefcba209004">https://www.sciencebase.gov/catalog/item/5142425be4b0eefcba209004</a>

Additional Information

Identifiers

Type Scheme Key
DOI http://sciencebase.gov/vocab/identifierScheme 10.1029/2003WR002747

Citation Extension

journalWater Resources Research
parts
typePages
valuen/a-n/a
typeVolume
value40
typeIssue
value4
citationTypeJournal Article

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