TY - JOUR
T1 - Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations
AU - Shi, Haiyang
AU - Luo, Geping
AU - Hellwich, Olaf
AU - He, Xiufeng
AU - Kurban, Alishir
AU - De Maeyer, Philippe
AU - Van De Voorde, Tim
N1 - Funding Information:
HS and GL initiated this research and were responsible for the integrity of the work as a whole. HS performed formal analysis and calculations and drafted the manuscript. HS was responsible for the data collection and analysis. GL, PDM, TVdV, OH, XH, and AK contributed resources and financial support.
Publisher Copyright:
© 2023 Haiyang Shi et al.
PY - 2023/12/20
Y1 - 2023/12/20
N2 - In the context of global warming, an increase in atmospheric aridity and global dryland expansion under the future climate has been expected in previous studies. However, this conflicts with observed greening over drylands and the insignificant increase in hydrological and ecological aridity from the ecohydrology perspective. Combining climatic, hydrological, and vegetation data, this study evaluated global dryland aridity changes at meteorological stations from 2003 to 2019. A decoupling between atmospheric, hydrological, and vegetation aridity was found. Atmospheric aridity represented by the vapor pressure deficit (VPD) increased, hydrological aridity indicated by machine-learning-based precipitation minus evapotranspiration (P-ET) data did not change significantly, and ecological aridity represented by the leaf area index (LAI) decreased. P-ET showed nonsignificant changes in most of the dominant combinations of the VPD, LAI, and P-ET. This study highlights the added value of using station-scale data to assess dryland change as a complement to results based on coarse-resolution reanalysis data and land surface models.
AB - In the context of global warming, an increase in atmospheric aridity and global dryland expansion under the future climate has been expected in previous studies. However, this conflicts with observed greening over drylands and the insignificant increase in hydrological and ecological aridity from the ecohydrology perspective. Combining climatic, hydrological, and vegetation data, this study evaluated global dryland aridity changes at meteorological stations from 2003 to 2019. A decoupling between atmospheric, hydrological, and vegetation aridity was found. Atmospheric aridity represented by the vapor pressure deficit (VPD) increased, hydrological aridity indicated by machine-learning-based precipitation minus evapotranspiration (P-ET) data did not change significantly, and ecological aridity represented by the leaf area index (LAI) decreased. P-ET showed nonsignificant changes in most of the dominant combinations of the VPD, LAI, and P-ET. This study highlights the added value of using station-scale data to assess dryland change as a complement to results based on coarse-resolution reanalysis data and land surface models.
UR - http://www.scopus.com/inward/record.url?scp=85183001871&partnerID=8YFLogxK
U2 - 10.5194/hess-27-4551-2023
DO - 10.5194/hess-27-4551-2023
M3 - Article
AN - SCOPUS:85183001871
SN - 1027-5606
VL - 27
SP - 4551
EP - 4562
JO - Hydrology and Earth System Sciences
JF - Hydrology and Earth System Sciences
IS - 24
ER -