2026-10-13T08:03:47Z https://www.scidb.cn/oai

10.57760/sciencedb.01829 2022-12-02T18:29:37Z

2022-12-02 A dataset of standard precipitation index reconstructed from multi-proxies over Asia for the past 300 years doi:10.57760/sciencedb.01829 en Based on 2912 annually resolved proxy series mainly derived from tree-ring and historical documents (Metadata of Proxies.xlsx), we present a set of standard precipitation index (SPI) reconstructions for annual (Nov-Oct) covering entire Asia and for wet season (i.e., Nov-Apr for western Asia and May-Oct for the others) with the spatial resolution of 2.5° since 1700. The dataset of includes 4 SPI reconstructions: (1) the Nov-Oct SPI reconstruction for entire Asia without using tree-ring density chronologies and width chronologies with negative correlations to precipitation (Nov-Oct SPI Version A); (2) the Nov-Oct SPI reconstruction for entire Asia by adding tree-ring density chronologies and width chronologies with negative correlations to precipitation (Nov-Oct SPI Version B); (3) the wet season SPI reconstruction for the extra-tropical Asia (Nov-Apr SPI for western Asia and May-Oct SPI for the rest regions) without using tree-ring density chronologies and width chronologies with negative correlations to precipitation (wet season SPI Version A); (4) the wet season SPI reconstruction for the extra-tropical Asia (Nov-Apr SPI for western Asia and May-Oct SPI for the rest regions) by adding tree-ring density chronologies and width chronologies with negative correlations to precipitation (wet season SPI Version B). Each of them is stored in a NetCDF file (.nc) and contains 5 three-dimension (longitude × latitude × time) variables, including reconstructed SPI, adjusted coefficient of determination (R2a), validation RE, validation CE and the number of proxies used for construction (nPrx). standard precipitation index; multi-proxies; climate reconstruction; Asia ; past 300 years Yang Liu Jingyun Zheng Zhixin Hao Quansheng Ge PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank