黄河流域1公里分辨率的月度VCI和TCI干旱指数数据集(2003-2021)

Longxin Qiao, Zelin Zheng, Xiaoyan Ma, Xingwang Zhang, Xutong Ru, Jie Peng, Xiaoyang Zhao, Haoming Xia
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引用次数: 1

摘要

黄河流域地处干旱、半干旱和半湿润气候区。据《第二次全国水资源综合规划》统计,其年均水资源总量719.4亿立方米,占全国水资源总量的2.5%。然而,它是中国主要流域中受干旱影响最严重的流域,生态保护面临严峻挑战。随着全球气候变化,黄河流域的干旱问题越来越受到关注。基于MODIS植被指数产品(MYD13A2,V6)和地表温度辐射产品(MYD 11A2,V6)。数据集是通过投影转换、云去除、马赛克裁剪、时间序列插值和SG滤波器平滑等预处理方法获得的。利用Kogan在1995年提出的计算方法,根据相应的MODIS产品分别计算VCI和TCI指数,并生成了2003年至2021年黄河流域1km分辨率的VCI和TCPI干旱指数数据集。通过数据共享,有望为全球变化背景下黄河流域干旱监测与研究提供重要数据支撑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A dataset of monthly VCI and TCI drought indices at a resolution of 1km in the Yellow River Basin (2003–2021)
The Yellow River Basin is located in the arid, semi-arid climate zone and semi-humid climate zones. According to the statistics of the Second National Comprehensive Water Resources Planning, its annual average water resources total 71.94 billion m3, accounting for 2.5% of the country's total water resources. However, it is the most severely affected by drought among the major river basins in China, and ecological protection faces severe challenges. With the global climate change, the drought problem in the Yellow River Basin has attracted more and more attention. Based on MODIS vegetation index products (MYD13A2, V6) and surface temperature radiation products (MYD11A2, V6). The dataset is obtained by approaches including projection conversion, cloud removal, mosaic clipping, time series interpolation and SG filter smoothing and other preprocessing. Using the calculation method proposed by Kogan in 1995, the VCI and TCI indices were calculated according to the corresponding MODIS products, respectively, and the monthly 1km resolution VCI and TCI drought index datasets in the Yellow River Basin from 2003 to 2021 were generated. Through data sharing, it is expected to provide important data support for drought monitoring and research in the Yellow River Basin under the background of global change.
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