中亚干旱区极端降水指数长时间序列数据集（1925-2005）

中亚干旱区极端降水指数长时间序列数据集包含了49个站点的10项极端降水指数长时间序列数据。该数据集以全球日气候历史数据网络（GHCN-D）的逐日降水数据为基础，经过数据质量控制和异常值剔除，选取符合极端降水指数计算的站点，计算了气候变化检测和指数联合专家组（ETCCDI）定义的10项极端降水指数（PRCPTOT、SDII、RX1day、RX5day、R95pTOT、R99pTOT、R10、R20、CWD、CDD）。其中，有15站时间序列为1925-2005年。本数据集可以作为在全球气候变化下中亚干旱区极端降水事件发生频率和趋势探测分析的材料，也可以作为基础数据来探索极端降水事件对农牧业生产和生命财产损失的影响。

The Long-term Dataset of Extreme Precipitation Indices in the Arid Region of Central Asia provides long-term time series data of 10 extreme precipitation indices from 49 meteorological stations. Derived from daily precipitation data of the Global Historical Climatology Network-Daily (GHCN-D), this dataset has undergone data quality control and outlier elimination, with eligible stations selected for the calculation of extreme precipitation indices. A total of 10 extreme precipitation indices defined by the Expert Team on Climate Change Detection and Indices (ETCCDI) were computed, namely PRCPTOT, SDII, RX1day, RX5day, R95pTOT, R99pTOT, R10, R20, CWD, and CDD. Specifically, the time series of 15 stations cover the period from 1925 to 2005. This dataset can be utilized to detect and analyze the frequency and trends of extreme precipitation events in the arid region of Central Asia under global climate change, and also serve as basic data for exploring the impacts of extreme precipitation events on agricultural and pastoral production, as well as life and property losses.

搜集汇总

背景与挑战

背景概述

中亚干旱区极端降水指数长时间序列数据集（1925-2005）包含49个站点的10项极端降水指数数据，基于GHCN-D逐日降水数据经过质量控制处理，适用于极端降水事件频率和趋势分析及其影响研究。