2017
DOI: 10.5194/cp-13-1919-2017
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Multi-proxy reconstructions of May–September precipitation field in China over the past 500 years

Abstract: Abstract.The dominant modes of variability of precipitation for the whole of China over the past millennium and the mechanism governing their spatial structure remain unclear. This is mainly due to insufficient high-resolution proxy records of precipitation in western China. Numerous treering chronologies have recently been archived in publicly available databases through PAGES2k activities, and these provide an opportunity to refine precipitation field reconstructions for China. Based on 479 proxy records, in… Show more

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Cited by 64 publications
(95 citation statements)
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“…Experiments applying data assimilation based on a particle filter method (Dubinkina et al, ) are performed using a reconstruction of MJJAS precipitation over China for the period 1470–2000 CE (F. Shi et al, ) as a constraint. The model ensemble is derived from the Community Earth System Model‐Last Millennium Ensemble (CESM‐LME; Otto‐Bliesner et al, ).…”
Section: Methodsmentioning
confidence: 99%
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“…Experiments applying data assimilation based on a particle filter method (Dubinkina et al, ) are performed using a reconstruction of MJJAS precipitation over China for the period 1470–2000 CE (F. Shi et al, ) as a constraint. The model ensemble is derived from the Community Earth System Model‐Last Millennium Ensemble (CESM‐LME; Otto‐Bliesner et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…Several studies have provided evidence for the existence of the monopole mode (F. Shi et al, ; H. Shi et al, ). The monopole was identified as the leading mode using an empirical orthogonal function (EOF) analysis applied to a May–September (MJJAS) precipitation variability reconstruction covering China over the past 500 years, based on tree ring data and historical documents (F. Shi et al, ). The EOF main loading is located in the middle and lower reaches of the Yangtze and Yellow Rivers, as shown in Figure 1a1.…”
Section: Introductionmentioning
confidence: 99%
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“…Regular grid points were created by CMA based on observed precipitation data (six stations inside SRYR and more than 15 stations outside) and a Digital Elevation Model from GTOPO30 (Hutchinson, 1998). The dataset has been widely used in climate analysis, numerical model verification, and hydrological studies (Shi et al, 2017;Wang et al, 2017). The quality of the dataset has been checked by using cross validation and error analysis by Zhao et al (2014).…”
Section: Datamentioning
confidence: 99%