1960-2012年青藏高原极端气候指数数据集  

A dataset of climate extreme indices over the Tibetan Plateau(1960–2012)

作　　者：周玉科[1] 高琪[2] Zhou Yuke;Gao Qi

机构地区：[1]中国科学院地理科学与资源研究所,生态系统网络观测与模拟院重点实验室,北京100101 [2]山东理工大学,建筑工程学院,淄博255049

出　　处：《中国科学数据（中英文网络版）》2017年第2期70-78,共9页China Scientific Data

基　　金：国家自然科学基金(41601478);中国科学院STS项目(KFJ-SW-STS-167).

摘　　要：青藏高原作为高海拔生态环境脆弱区域,其气候变化及发展趋势一直是学界的研究热点,极端气候事件分析是其中一项重要的研究内容。本文基于99个气象观测站1960~2012年的日值气温(日最高气温、日最低气温)和降水观测资料(日降水),经过数据质量控制和异常值剔除,利用R语言中的RClimDex包计算得到每年典型的15项极端气温指数和8项极端降水指数,其中包括10项绝对值指数和13项阈值指数(百分比和观测量阈值)。本数据集可以作为在全球气候变化下青藏高原地区极端天气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天气事件对农牧业生产的影响。As an ecologically sensitive region with the highest altitude,the Tibetan Plateau has been a hotspot in the study of long-term climate changes.Extreme weather events are related to the regional climate change and are an important component of the study.Based on the daily temperature and precipitation observed at 99 meteorological stations over the Tibetan Plateau during 1960–2012,this study calculated a series of climate extreme indices.Firstly,quality control was performed on the raw meteorological observations to eliminate abnormal values.Then the R package RClimDex1.0 was used to compute 15 temperature and 8 precipitation extreme indices.10 indices were determined by the absolute observed value and 30 indices determined by the threshold approach.This dataset is useful for research on the occurrence frequency and developing trend of extreme events.When used together with regional statistical data,this dataset can also reveal the impacts of climate extremes on agricultural and livestock production.

关 键 词：青藏高原 极端气候指数 气候变化 气象站点 

分 类 号：P429[天文地球—大气科学及气象学]