Empirical downscaling of high-resolution regional precipitation from large-scale reanalysis fields

Robert Eugene Nicholas, David S. Battisti

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This study describes an EOF-based technique for statistical downscaling of high-spatial-resolution monthlymean precipitation fromlarge-scale reanalysis circulation fields. Themethod is demonstrated and evaluated for fourwidely separated locations: the southeasternUnited States, the upperColoradoRiver basin, China's Jiangxi Province, and central Europe. For each location, the EOF-based downscalingmodels successfully reproduce the observed annual cycle while eliminating the biases seen in NCEP-NCAR reanalysis precipitation. They also frequently reproduce the monthly precipitation anomalies with greater fidelity than is seen in the precipitation field derived directly from reanalysis, and they outperform a suite of regional climate models over the two U.S. locations. With the relatively high skill achieved over a range of climate regimes, this technique may be a viable alternative to numerical downscaling of monthly-mean precipitation for many locations.

Original languageEnglish (US)
Pages (from-to)100-114
Number of pages15
JournalJournal of Applied Meteorology and Climatology
Volume51
Issue number1
DOIs
StatePublished - Jan 1 2012

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downscaling
annual cycle
regional climate
climate modeling
spatial resolution
anomaly
climate
basin
Europe
province

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

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abstract = "This study describes an EOF-based technique for statistical downscaling of high-spatial-resolution monthlymean precipitation fromlarge-scale reanalysis circulation fields. Themethod is demonstrated and evaluated for fourwidely separated locations: the southeasternUnited States, the upperColoradoRiver basin, China's Jiangxi Province, and central Europe. For each location, the EOF-based downscalingmodels successfully reproduce the observed annual cycle while eliminating the biases seen in NCEP-NCAR reanalysis precipitation. They also frequently reproduce the monthly precipitation anomalies with greater fidelity than is seen in the precipitation field derived directly from reanalysis, and they outperform a suite of regional climate models over the two U.S. locations. With the relatively high skill achieved over a range of climate regimes, this technique may be a viable alternative to numerical downscaling of monthly-mean precipitation for many locations.",
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Empirical downscaling of high-resolution regional precipitation from large-scale reanalysis fields. / Nicholas, Robert Eugene; Battisti, David S.

In: Journal of Applied Meteorology and Climatology, Vol. 51, No. 1, 01.01.2012, p. 100-114.

Research output: Contribution to journalArticle

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