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Spatiotemporal variations of the twentieth century Tibetan Plateau precipitation based on the monthly 2.5 degrees reconstructed data

TitleSpatiotemporal variations of the twentieth century Tibetan Plateau precipitation based on the monthly 2.5 degrees reconstructed data
Publication TypeJournal Article
Year of Publication2019
AuthorsShen S.SP, Clarke G., Shen B.W, Yao T.D
JournalTheoretical and Applied Climatology
Date Published2019/01
Type of ArticleArticle
ISBN Number0177-798X
Accession NumberWOS:000459226500006
Keywordschina; climate; decadal variability; flood; global precipitation; high asia; Meteorology & Atmospheric Sciences; ocean; temperature; Vegetation

This paper studies the spatiotemporal variations of precipitation over the Tibetan Plateau (TP) region with latitude and longitude ranges of (25 degrees N, 45 degrees N) and (65 degrees E, 105 degrees E) of the twentieth century from January 1901-December 2000. A long-term (January 1901-December 2009) TP monthly precipitation dataset with 2.5 degrees latitude-longitude resolution is generated in this paper using spectral optimal gridding (SOG) method. The method uses the Global Precipitation Climatology Center (GPCC) ground station data to anchor the basis of empirical orthogonal functions (EOFs) computed from the Global Precipitation Climatology Project (GPCP) data. Our gridding takes teleconnection into account and uses data from stations both within and outside of the TP region. While the annual total precipitation increased at an approximate rate of 2.6 mm per decade in the period of 1971-2000 exists, no significant increase of TP precipitation from 1901 to 2000 was found. Our rate is less than those of previous publications based only on the TP stations because our data consider the entire TP region, including desert and high-altitude areas. An analysis of extremes and spatiotemporal patterns of our data shows that our reconstructed data can properly quantify the reported disasters of flooding and droughts in India, Bangladesh, and China for the following events: flooding in 1988 and 1998 and drought in 1972. Our time-frequency analysis using the empirical mode decomposition method shows that our nonlinear trend agrees well with the linear trend in the period from 1971 to 2000. The spatiotemporal variation characteristics documented in this paper can help understand atmospheric circulations on TP precipitation and validate the TP precipitation in climate models.

Short TitleTheor. Appl. Climatol.
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