Articles | Volume 18, issue 9
https://doi.org/10.5194/tc-18-4089-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-4089-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Which global reanalysis dataset has better representativeness in snow cover on the Tibetan Plateau?
Shirui Yan
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Yang Chen
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Yaliang Hou
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Kexin Liu
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Xuejing Li
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Yuxuan Xing
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Dongyou Wu
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Jiecan Cui
Zhejiang Development & Planning Institute, Hangzhou 310030, China
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
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Cited
10 citations as recorded by crossref.
- Spatiotemporal variation and propagation process of snow drought over the Tibetan Plateau D. Wu & Z. Hu
- Snow Cover Variability and Trends over Karakoram, Western Himalaya and Kunlun Mountains During the MODIS Era (2001–2024) C. Almagioni et al.
- Polar regions are critical in achieving global sustainable development goals X. Li et al.
- Integrated evaluation of snow density reanalysis products in the Northern Hemisphere Y. Li et al.
- Strengthening influence of atmospheric rivers on global snow depth dynamics H. Li et al.
- Long-term snow cover trends in Sierra Nevada, Spain (1951–2021) J. Hidalgo-Hidalgo et al.
- Integrating Physical Constraints Into Deep Learning for Enhanced Snow Depth Retrieval Over the Third Pole Y. Li et al.
- Intensified occurrences of snow droughts are related to the snow cover dynamics in the Hindu Kush Himalayas H. Singh et al.
- Evaluation of surface albedo products from ERA5, JRA-55, MERRA-2, and CERES-EBAF on the Tibetan Plateau: insights from in-situ observations and MODIS data G. Pang et al.
- Foreseeing snowmelt responses of the Tibetan Plateau to biomass-burning black carbon from South Asia J. Wu et al.
10 citations as recorded by crossref.
- Spatiotemporal variation and propagation process of snow drought over the Tibetan Plateau D. Wu & Z. Hu
- Snow Cover Variability and Trends over Karakoram, Western Himalaya and Kunlun Mountains During the MODIS Era (2001–2024) C. Almagioni et al.
- Polar regions are critical in achieving global sustainable development goals X. Li et al.
- Integrated evaluation of snow density reanalysis products in the Northern Hemisphere Y. Li et al.
- Strengthening influence of atmospheric rivers on global snow depth dynamics H. Li et al.
- Long-term snow cover trends in Sierra Nevada, Spain (1951–2021) J. Hidalgo-Hidalgo et al.
- Integrating Physical Constraints Into Deep Learning for Enhanced Snow Depth Retrieval Over the Third Pole Y. Li et al.
- Intensified occurrences of snow droughts are related to the snow cover dynamics in the Hindu Kush Himalayas H. Singh et al.
- Evaluation of surface albedo products from ERA5, JRA-55, MERRA-2, and CERES-EBAF on the Tibetan Plateau: insights from in-situ observations and MODIS data G. Pang et al.
- Foreseeing snowmelt responses of the Tibetan Plateau to biomass-burning black carbon from South Asia J. Wu et al.
Saved (final revised paper)
Latest update: 20 May 2026
Short summary
The snow cover over the Tibetan Plateau (TP) plays a role in climate and hydrological systems, yet there are uncertainties in snow cover fraction (SCF) estimations within reanalysis datasets. This study utilized the Snow Property Inversion from Remote Sensing (SPIReS) SCF data to assess the accuracy of eight widely used reanalysis SCF datasets over the TP. Factors contributing to uncertainties were analyzed, and a combined averaging method was employed to provide optimized SCF simulations.
The snow cover over the Tibetan Plateau (TP) plays a role in climate and hydrological systems,...