Have China’s drylands become wetting in the past 50 years?

Journal of Geographical Sciences - Tập 33 - Trang 99-120 - 2023
Yu Zhang1,2,3, Yangjian Zhang1,2,4, Liang Cheng5, Nan Cong1, Zhoutao Zheng1, Ke Huang1,6, Jianshuang Zhang1, Yixuan Zhu1,2, Jie Gao1,2, Yihan Sun1,2
1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China
2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
3College of Life Science, Beijing Normal University, Beijing, China
4CAS Center for Excellence in Tibetan Plateau Earth Science, Beijing, China
5Beijing Applied Atmospheric Institute, Beijing, China
6Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark

Tóm tắt

Recently, whether drylands of Northwest China (NW) have become wetting has been attracting surging attentions. By comparing the Standard Precipitation Evapotranspiration Indices (SPEI) derived from two different potential evapotranspiration estimates, i.e., the Thornthwaite algorithm (SPEI_th) and the Penman-Monteith equation (SPEI_pm), we try to resolve the controversy. The analysis indicated that air temperature has been warming significantly at a rate of 0.4°C decade−1 in the last five decades and the more arid areas are more prone to becoming warmer. Annual precipitation of the entire study area increased insignificantly by 3.6 mm decade−1 from 1970 to 2019 but NW presented significantly increasing trends. Further, the SPEI_th and SPEI_pm demonstrated similar wetting-drying-wetting trends (three phases) in China’s drylands during 1970–2019. The common periodical signals in the middle phase were identified both by SPEI_th and SPEI_pm wavelet analysis. Analysis with different temporal intervals can lead to divergent or even opposite results. The attribution analysis revealed that precipitation is the main climatic factor driving the drought trend transition. This study hints that the wetting trend’s direction and magnitude hinge on the targeted temporal periods and regions.

Tài liệu tham khảo

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