A new high-resolution multi-drought-index dataset for mainland China
Qi Zhang,Chiyuan Miao,Jiajia Su,Jiaojiao Gou,Jinlong Hu,Xi Zhao,and Ye Xu
Qi Zhang
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Jiajia Su
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Jiaojiao Gou
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Xi Zhao
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Ye Xu
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
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Total article views: 6,474 (including HTML, PDF, and XML)
Thereof 6,259 with geography defined
and 215 with unknown origin.
Total article views: 3,651 (including HTML, PDF, and XML)
Thereof 3,497 with geography defined
and 154 with unknown origin.
Total article views: 2,823 (including HTML, PDF, and XML)
Thereof 2,762 with geography defined
and 61 with unknown origin.
Our study introduces CHM_Drought, an advanced meteorological drought dataset covering mainland China, offering detailed insights from 1961 to 2022 at a spatial resolution of 0.1°. This dataset incorporates six key drought indices, including multi-scale versions, facilitating early detection and monitoring of droughts. Through the provision of consistent and reliable data, CHM_Drought enhances our understanding of drought patterns, aiding in effective water management and agricultural planning.
Our study introduces CHM_Drought, an advanced meteorological drought dataset covering mainland...