Articles | Volume 27, issue 24
https://doi.org/10.5194/hess-27-4551-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-4551-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Dec 2023
Research article |
| 20 Dec 2023
| 20 Dec 2023
Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations
Haiyang Shi
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
School of Earth Sciences and Engineering, Hohai University, Nanjing, 211100, China
Geping Luo
CORRESPONDING AUTHOR
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Ürümqi, 830011, China
College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing, 100049, China
The National Key Laboratory of Ecological Security and Sustainable Development in Arid Region, Chinese Academy of Sciences, Ürümqi, 830011, China
Sino-Belgian Joint Laboratory for Geo-Information, 9000 Ghent, Belgium
Olaf Hellwich
CORRESPONDING AUTHOR
Department of Computer Vision and Remote Sensing, Technische Universität Berlin, 10587 Berlin, Germany
Xiufeng He
School of Earth Sciences and Engineering, Hohai University, Nanjing, 211100, China
Alishir Kurban
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Ürümqi, 830011, China
College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing, 100049, China
The National Key Laboratory of Ecological Security and Sustainable Development in Arid Region, Chinese Academy of Sciences, Ürümqi, 830011, China
Sino-Belgian Joint Laboratory for Geo-Information, 9000 Ghent, Belgium
Philippe De Maeyer
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Ürümqi, 830011, China
College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing, 100049, China
Department of Geography, Ghent University, 9000 Ghent, Belgium
Sino-Belgian Joint Laboratory for Geo-Information, 9000 Ghent, Belgium
Tim Van de Voorde
Department of Geography, Ghent University, 9000 Ghent, Belgium
Sino-Belgian Joint Laboratory for Geo-Information, 9000 Ghent, Belgium
Viewed
Total article views: 3,977 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Jun 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,723 | 1,065 | 189 | 3,977 | 192 | 261 |
- HTML: 2,723
- PDF: 1,065
- XML: 189
- Total: 3,977
- BibTeX: 192
- EndNote: 261
Total article views: 2,166 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Dec 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,497 | 586 | 83 | 2,166 | 107 | 126 |
- HTML: 1,497
- PDF: 586
- XML: 83
- Total: 2,166
- BibTeX: 107
- EndNote: 126
Total article views: 1,811 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Jun 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,226 | 479 | 106 | 1,811 | 85 | 135 |
- HTML: 1,226
- PDF: 479
- XML: 106
- Total: 1,811
- BibTeX: 85
- EndNote: 135
Viewed (geographical distribution)
Total article views: 3,977 (including HTML, PDF, and XML)
Thereof 3,846 with geography defined
and 131 with unknown origin.
Total article views: 2,166 (including HTML, PDF, and XML)
Thereof 2,062 with geography defined
and 104 with unknown origin.
Total article views: 1,811 (including HTML, PDF, and XML)
Thereof 1,784 with geography defined
and 27 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
10 citations as recorded by crossref.
- Decoding Cropland Drought Dynamics: Insights from Sentinel-1 SAR Observations in the Lower Mekong River Basin N. Son et al. https://doi.org/10.1007/s41748-026-01041-6
- Decoupling climate and vegetation impacts on hydrological processes in semi-arid regions using an improved grid-scale Budyko model Q. Fang et al. https://doi.org/10.1016/j.ejrh.2025.102691
- Combating land degradation and desertification through forest-based technological interventions M. Bhandari et al. https://doi.org/10.1007/s42398-025-00412-5
- Enhancing aridity index assessment in Pakistan's dryland ecosystems: A machine learning approach integrating remote sensing and seasonal lag effects N. Mazhar et al. https://doi.org/10.1016/j.pce.2025.104135
- Machine learning and CORDEX-Africa regional model for assessing the impact of climate change on the Gilgel Gibe Watershed, Ethiopia A. Bojer et al. https://doi.org/10.1016/j.jenvman.2024.121394
- Satellite evidence for persistent degradation in Brazil's desertification nuclei A. Lucas et al. https://doi.org/10.1016/j.rsase.2026.101932
- Study on the synergistic effects of ecological water conveyance and climate change on ecological restoration in arid areas: A case study of the Tarim River Basin B. Gao et al. https://doi.org/10.1016/j.ecoleng.2025.107793
- Station-scale reconstruction of evapotranspiration, climatic water availability, and hydrological extremes exposure since 1700s Y. Ao et al. https://doi.org/10.1088/1748-9326/ae916e
- Contrasting trends in climatic and ecohydrological aridity over one-fifth of global drylands L. He et al. https://doi.org/10.1016/j.jag.2026.105229
- Unveiling the impact of potential evapotranspiration method selection on trends in hydrological cycle components across Europe V. Thakur et al. https://doi.org/10.5194/hess-29-4395-2025
10 citations as recorded by crossref.
- Decoding Cropland Drought Dynamics: Insights from Sentinel-1 SAR Observations in the Lower Mekong River Basin N. Son et al. https://doi.org/10.1007/s41748-026-01041-6
- Decoupling climate and vegetation impacts on hydrological processes in semi-arid regions using an improved grid-scale Budyko model Q. Fang et al. https://doi.org/10.1016/j.ejrh.2025.102691
- Combating land degradation and desertification through forest-based technological interventions M. Bhandari et al. https://doi.org/10.1007/s42398-025-00412-5
- Enhancing aridity index assessment in Pakistan's dryland ecosystems: A machine learning approach integrating remote sensing and seasonal lag effects N. Mazhar et al. https://doi.org/10.1016/j.pce.2025.104135
- Machine learning and CORDEX-Africa regional model for assessing the impact of climate change on the Gilgel Gibe Watershed, Ethiopia A. Bojer et al. https://doi.org/10.1016/j.jenvman.2024.121394
- Satellite evidence for persistent degradation in Brazil's desertification nuclei A. Lucas et al. https://doi.org/10.1016/j.rsase.2026.101932
- Study on the synergistic effects of ecological water conveyance and climate change on ecological restoration in arid areas: A case study of the Tarim River Basin B. Gao et al. https://doi.org/10.1016/j.ecoleng.2025.107793
- Station-scale reconstruction of evapotranspiration, climatic water availability, and hydrological extremes exposure since 1700s Y. Ao et al. https://doi.org/10.1088/1748-9326/ae916e
- Contrasting trends in climatic and ecohydrological aridity over one-fifth of global drylands L. He et al. https://doi.org/10.1016/j.jag.2026.105229
- Unveiling the impact of potential evapotranspiration method selection on trends in hydrological cycle components across Europe V. Thakur et al. https://doi.org/10.5194/hess-29-4395-2025
Saved (final revised paper)
Latest update: 04 Sep 2026
Short summary
Using evidence from meteorological stations, this study assessed the climatic, hydrological, and ecological aridity changes in global drylands and their associated mechanisms. A decoupling between atmospheric, hydrological, and vegetation aridity was found. This 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.
Using evidence from meteorological stations, this study assessed the climatic, hydrological, and...
