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Comparison on Relationship between Western Pacific Subtropical High and Summer Precipitation over Dongting Lake Basin Based on Different Datasets

机译:基于不同数据集的洞庭湖盆地与西太平洋亚热带高和夏季降水关系的比较

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摘要

The Western Pacific Subtropical High (WPSH) is a principal component of the East Asian summer monsoon system. This study was to compare the relationship between the WPSH and summer precipitation in Dongting Lake basin (24 degrees 35 '-30 degrees 27 ' N, 107 degrees 13 '-114 degrees 18 ' E) based on different datasets by employing the multivariate regression analysis. The observed precipitation data was from China Meteorological Data (CMD) sharing service system and the six gridded precipitation datasets were CFSR, ERA-Interim, CMAP, GPCP, CRU, and PREC/L, respectively. The WPSH exerted different influences on the precipitation of summer months. The indexes including westward extension ridge point index and northern boundary index in June, ridge line index and northern boundary index in July and August had important effect on the precipitation over Dongting Lake Basin. The gridded data could generally reproduce the relationship between the ridge line index and precipitation in July. The relationship between the northern boundary and the precipitation from gridded data was similar to that from observed data in June and July, while the relationship between the western extension ridge index and the precipitation in June could be reproduced by the gridded data except CFSR and ERA-Interim. Only in part area, the relationship between the intensity index and the CMD precipitation could be reproduced by gridded precipitation. The fitness of correlation in some area from the CMD could be reproduced by the gridded data. General speaking, GPCP precipitation data was more applicable to the Dongting Lake Basin in studying on the relationship between the precipitation and a single index of WPSH.
机译:西太平洋亚热带高(WPSH)是东亚夏季季风系统的主要成分。本研究是通过采用多元回归分析,比较洞庭湖盆地WPSH和夏季降水之间的关系(24度35'-30度27'N,107,13'-114度),通过采用多元回归分析,基于不同的数据集。观察到的降水数据来自中国气象数据(CMD)共享服务系统,六个网格降水数据集分别为CFSR,ERA-INSERIM,CMAP,GPCP,CRU和PRE / L. WPSH对夏季的降水产生了不同的影响。六月,山脊线指数和北方边界指数在内的索引和北部边界指数在内的指标对洞庭湖盆地降水产生了重要影响。网格数据通常可以在7月份重现脊线指数和降水之间的关系。北边界与网格数据降水之间的关系与6月和7月的观察数据相似,而西部延伸脊指数与6月份的降水之间的关系可以由除CFSR和ERA之外的网格数据再现。临时。只有在部分区域,强度指数与CMD沉淀之间的关系可以通过网格沉淀来再现。来自CMD的某些区域中的相关性可以由网格数据再现。通用口语,GPCP降水数据更适用于洞庭湖盆地研究沉淀与WPSH的单一指数之间的关系。

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