Skip to Main Content
Prediction of monthly-seasonal precipitation using coupled SVD patterns between soil moisture and subsequent precipitationAuthor(s): Yongqiang Liu
Source: Geophysical Research Letters 30(15): 1-4
Publication Series: Miscellaneous Publication
PDF: View PDF (546 KB)
DescriptionIt was suggested in a recent statistical correlation analysis that predictability of monthly-seasonal precipitation could be improved by using coupled singular value decomposition (SVD) pattems between soil moisture and precipitation instead of their values at individual locations. This study provides predictive evidence for this suggestion by comparing skills of two staf stical prediction models based on the coupled SVD pattems and local relationships. The data used for model development and validation are obtained from a simulatton over East Asia with a regional climate model. The results show a much improved skill with the prediction model using the coupled SVD patterns. The seasonal prediction skill is higher than the monthly one. The most remarkable contribution of soil moisture to the prediction skill is found in warm seasons, opposite to that of sea surface temperature.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationLiu, Yongqiang. 2003. Prediction of monthly-seasonal precipitation using coupled SVD patterns between soil moisture and subsequent precipitation. Geophysical Research Letters 30(15): 1-4
- Spatial patterns of soil moisture connected to monthly-seasonal precipitation variability in a monsoon region
- Regional hydrologic response of loblolly pine to air temperature and precipitation changes
- Trend analysis and forecast of precipitation, reference evapotranspiration, and rainfall deficit in the Blackland Prairie of eastern Mississippi
XML: View XML