%0 Dataset
%T A dataset of standard precipitation index reconstructed from multi-proxies over Asia for the past 300 years
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/270cd587-4a55-4a00-b2ec-823938b23d68
%W NCDC
%R 10.57760/sciencedb.01829
%A Zheng Jingyun
%K Standard precipitation index;precipitation reconstruction;tree ring data;Asian monsoon
%X Based on 2912 annual resolution proxy sequences mainly derived from tree rings and historical literature, we propose a set of standard precipitation index (SPI) reconstructions covering the entire Asia every year (November to October) since 1700, as well as standard precipitation index reconstructions for the rainy season (i.e. November to April in West Asia and May to October in other regions), with a spatial resolution of 2.5 ∘. In order to screen the best candidate proxy indicators for reconstructing SPI within each grid from available proxy indicators with homogeneous precipitation mechanisms and similar precipitation variability in their connected areas, we developed a new method that uses grid position dependency partitioning obtained from instrument SPI data. The verification results indicate that these reconstructions are effective for most regions in Asia. Compared with the measured precipitation before calibration time, the evaluation of data quality shows that, except for a few networks in western Russia, coastal areas of Southeast Asia, and northern Japan, our reconstruction has high quality and can display precipitation variability in most of the study areas.  The dataset includes four types of SPI reconstructions: (1) SPI reconstructions for the entire Asia from November to October, without using tree ring density chronology and width chronology that are negatively correlated with precipitation (November October SPIA version); (2) The SPI reconstruction of the entire Asia from November to October has added tree ring density chronology and width chronology negatively correlated with precipitation (SPI B version from November to October); (3) The reconstruction of rainy season SPI in non tropical regions of Asia (November April SPI in West Asia and May October SPI in other regions) did not use tree ring density chronology and width chronology negatively correlated with precipitation (rainy season SPIA version); (4) Reconstructing the rainy season SPI in