Matches in SemOpenAlex for { <https://semopenalex.org/work/W1552393940> ?p ?o ?g. }
- W1552393940 endingPage "5159" @default.
- W1552393940 startingPage "5147" @default.
- W1552393940 abstract "[1] The performance of various seasonal forecast systems in predicting the station-scale summer rainfall in South China (SC) was assessed and was compared with that based on a statistical downscaling scheme. Hindcast experiments from 11 dynamical models covering the period of 1983–2003 were taken from the Asia-Pacific Economic Cooperation Climate Center multimodel ensemble. Based on observations, singular value decomposition analysis (SVDA) showed that SC precipitation is strongly related to the broad-scale sea level pressure (SLP) variation over Southeast Asia, western north Pacific, and part of the Indian Ocean. Analogous covariability was also found between model hindcasts and the observed station precipitation. Based on these results from SVDA, a statistical downscaling scheme for predicting SC station rainfall with model SLP as predictor was constructed. In general, the statistical scheme is superior to the original model prediction in two geographical regions, namely, western SC (near Guangxi) and eastern coastal SC (eastern Guangdong to part of Fujian). Further analysis indicated that dynamical models are able to reproduce the large-scale circulation patterns associated with the recurrent modes of SC rainfall, but not the local circulation features. This probably leads to erroneous rainfall predictions in some locations. On the other hand, the statistical scheme was able to map the broad-scale SLP patterns onto the station-scale rainfall anomalies, thereby correcting some of the model biases. Overall, our results demonstrate how SC summer rainfall predictions can be improved by tapping the source of predictability related to large-scale circulation signals from dynamical models." @default.
- W1552393940 created "2016-06-24" @default.
- W1552393940 creator A5000198328 @default.
- W1552393940 creator A5003866341 @default.
- W1552393940 creator A5072652061 @default.
- W1552393940 creator A5076087204 @default.
- W1552393940 date "2013-06-06" @default.
- W1552393940 modified "2023-10-01" @default.
- W1552393940 title "Improving the seasonal forecast for summertime South China rainfall using statistical downscaling" @default.
- W1552393940 cites W1515407389 @default.
- W1552393940 cites W1537835567 @default.
- W1552393940 cites W1967722715 @default.
- W1552393940 cites W1984411437 @default.
- W1552393940 cites W1985114715 @default.
- W1552393940 cites W1989668498 @default.
- W1552393940 cites W1993621529 @default.
- W1552393940 cites W1999407291 @default.
- W1552393940 cites W2003790259 @default.
- W1552393940 cites W2005396092 @default.
- W1552393940 cites W2005900208 @default.
- W1552393940 cites W2006572356 @default.
- W1552393940 cites W2009665581 @default.
- W1552393940 cites W2011738688 @default.
- W1552393940 cites W2021510303 @default.
- W1552393940 cites W2026156015 @default.
- W1552393940 cites W2027968650 @default.
- W1552393940 cites W2033363258 @default.
- W1552393940 cites W2056110733 @default.
- W1552393940 cites W2065128000 @default.
- W1552393940 cites W2080712057 @default.
- W1552393940 cites W2082001988 @default.
- W1552393940 cites W2089876476 @default.
- W1552393940 cites W2094678373 @default.
- W1552393940 cites W2096655180 @default.
- W1552393940 cites W2097953224 @default.
- W1552393940 cites W2101036997 @default.
- W1552393940 cites W2120115499 @default.
- W1552393940 cites W2120536740 @default.
- W1552393940 cites W2125649838 @default.
- W1552393940 cites W2135059533 @default.
- W1552393940 cites W2135550792 @default.
- W1552393940 cites W2139433170 @default.
- W1552393940 cites W2139873901 @default.
- W1552393940 cites W2142021968 @default.
- W1552393940 cites W2154036078 @default.
- W1552393940 cites W2158140310 @default.
- W1552393940 cites W2172191993 @default.
- W1552393940 cites W2174132594 @default.
- W1552393940 cites W2174705815 @default.
- W1552393940 cites W2178721210 @default.
- W1552393940 cites W4230649248 @default.
- W1552393940 cites W4255083528 @default.
- W1552393940 cites W998175412 @default.
- W1552393940 doi "https://doi.org/10.1002/jgrd.50367" @default.
- W1552393940 hasPublicationYear "2013" @default.
- W1552393940 type Work @default.
- W1552393940 sameAs 1552393940 @default.
- W1552393940 citedByCount "9" @default.
- W1552393940 countsByYear W15523939402015 @default.
- W1552393940 countsByYear W15523939402017 @default.
- W1552393940 countsByYear W15523939402018 @default.
- W1552393940 countsByYear W15523939402020 @default.
- W1552393940 countsByYear W15523939402022 @default.
- W1552393940 countsByYear W15523939402023 @default.
- W1552393940 crossrefType "journal-article" @default.
- W1552393940 hasAuthorship W1552393940A5000198328 @default.
- W1552393940 hasAuthorship W1552393940A5003866341 @default.
- W1552393940 hasAuthorship W1552393940A5072652061 @default.
- W1552393940 hasAuthorship W1552393940A5076087204 @default.
- W1552393940 hasBestOaLocation W15523939401 @default.
- W1552393940 hasConcept C105795698 @default.
- W1552393940 hasConcept C107054158 @default.
- W1552393940 hasConcept C127313418 @default.
- W1552393940 hasConcept C153294291 @default.
- W1552393940 hasConcept C197640229 @default.
- W1552393940 hasConcept C205649164 @default.
- W1552393940 hasConcept C2778755073 @default.
- W1552393940 hasConcept C33923547 @default.
- W1552393940 hasConcept C39432304 @default.
- W1552393940 hasConcept C41156917 @default.
- W1552393940 hasConcept C49204034 @default.
- W1552393940 hasConcept C58640448 @default.
- W1552393940 hasConcept C83002819 @default.
- W1552393940 hasConceptScore W1552393940C105795698 @default.
- W1552393940 hasConceptScore W1552393940C107054158 @default.
- W1552393940 hasConceptScore W1552393940C127313418 @default.
- W1552393940 hasConceptScore W1552393940C153294291 @default.
- W1552393940 hasConceptScore W1552393940C197640229 @default.
- W1552393940 hasConceptScore W1552393940C205649164 @default.
- W1552393940 hasConceptScore W1552393940C2778755073 @default.
- W1552393940 hasConceptScore W1552393940C33923547 @default.
- W1552393940 hasConceptScore W1552393940C39432304 @default.
- W1552393940 hasConceptScore W1552393940C41156917 @default.
- W1552393940 hasConceptScore W1552393940C49204034 @default.
- W1552393940 hasConceptScore W1552393940C58640448 @default.
- W1552393940 hasConceptScore W1552393940C83002819 @default.
- W1552393940 hasFunder F4320309893 @default.
- W1552393940 hasIssue "11" @default.