Upwind Moisture Controls on Interannual Variations of Precipitation and Vegetation in China's Drylands
Abstract Dryland precipitation depends on upwind and local moisture sources via moisture recycling. How upwind moisture variations affect interannual variations of downwind precipitation and vegetation in China's drylands remains unclear. We used high‐resolution moisture tracking data sets and found terrestrial moisture (93%) was the dominant moisture source for China's drylands, especially from drylands themselves (46%). In most dryland grids, we observed strong correlations between precipitation and upwind moisture sources from 2003 to 2022 (median r = 0.55), with a more significant effect in drier areas. These demonstrated the upwind moisture control on interannual variations of dryland precipitation, in which internal moisture from drylands exceeds the influence of external terrestrial sources. The upwind moisture variations, especially the recycled moisture of drylands, propagate to influence downwind vegetation greenness in precipitation‐sensitive dryland areas. Our findings revealed that upwind moisture variations induced by climate or land‐cover changes have important implications for water and food security in China's drylands.
Authors
- Zhao Yang (ORCID: https://orcid.org/0000-0002-8802-7130)
- Mengqian Lu
- Sha Zhou (ORCID: https://orcid.org/0000-0001-7161-5959)
- Ru Xu (ORCID: https://orcid.org/0000-0002-5203-5980)
- Huiqing Lin (ORCID: https://orcid.org/0000-0002-8864-1974)
- Ruijie Su
- Shuangshuang Zi
- Yan Li (ORCID: https://orcid.org/0000-0002-6336-0981)
Institutions
- Pacific Northwest National Laboratory (US)
- Chinese Academy of Sciences (CN)
- Hong Kong University of Science and Technology (HK)
- Beijing Normal University (CN)
- Beijing Botanical Garden (CN)
- Institute of Botany (CN)
- University of Chinese Academy of Sciences (CN)
- China National Botanical Garden
Publication Details
- Journal
- Geophysical Research Letters
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1029/2024gl110997
- Citations
- 9
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 2.54
Funders
- National Natural Science Foundation of China