Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-4967-2021
© Author(s) 2021. 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-25-4967-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Sep 2021
Research article |
| 10 Sep 2021
| 10 Sep 2021
Improved parameterization of snow albedo in Noah coupled with Weather Research and Forecasting: applicability to snow estimates for the Tibetan Plateau
Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
Land–Atmosphere Interaction and its Climatic Effects Group, State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
Yaoming Ma
CORRESPONDING AUTHOR
Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
Land–Atmosphere Interaction and its Climatic Effects Group, State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
Massimo Menenti
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China
Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, the Netherlands
Rongmingzhu Su
Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
Land–Atmosphere Interaction and its Climatic Effects Group, State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
Nan Yao
Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
Land–Atmosphere Interaction and its Climatic Effects Group, State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
Weiqiang Ma
Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
Land–Atmosphere Interaction and its Climatic Effects Group, State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
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Cited
13 citations as recorded by crossref.
- Optimization of snow-related processes in Noah-MP land surface model over the mid-latitudes of Asian region X. Cao et al. 10.1016/j.atmosres.2024.107711
- Improving regional climate simulations based on a hybrid data assimilation and machine learning method X. He et al. 10.5194/hess-27-1583-2023
- Observational Constraint on the Contribution of Surface Albedo Feedback to the Amplified Tibetan Plateau Surface Warming Y. Chen et al. 10.1029/2021JD036085
- Impacts of snow cover on micrometeorological conditions and rural air quality in Northeast China X. Li et al. 10.1016/j.atmosres.2022.106516
- Observed and projected declines in glacier albedo across the Third Pole in the 21st century S. Ren et al. 10.1016/j.oneear.2024.08.010
- Regional climate dynamical downscaling over the Tibetan Plateau—From quarter-degree to kilometer-scale Y. Gao et al. 10.1007/s11430-022-9968-4
- Performance of the WRF Model at the Convection‐Permitting Scale in Simulating Snowfall and Lake‐Effect Snow Over the Tibetan Plateau Q. Lin et al. 10.1029/2022JD038433
- Reducing the Cold Bias of the WRF Model Over the Tibetan Plateau by Implementing a Snow Coverage‐Topography Relationship and a Fresh Snow Albedo Scheme X. Zhou et al. 10.1029/2023MS003626
- Improving snow albedo parameterization scheme based on remote sensing data H. Li et al. 10.1016/j.atmosres.2022.106602
- Strengthening the three-dimensional comprehensive observation system of multi-layer interaction on the Tibetan Plateau to cope with the warming and wetting trend Y. Ma et al. 10.1016/j.aosl.2022.100224
- 青藏高原气候动力降尺度——从<bold>1/4</bold>度到公里尺度 艳. 高 et al. 10.1360/SSTe-2022-0015
- Moderate-resolution snow depth product retrieval from passive microwave brightness data over Xinjiang using machine learning approach Y. Liu et al. 10.1080/17538947.2023.2299208
- Snow depth in high-resolution regional climate model simulations over southern Germany – suitable for extremes and impact-related research? B. Poschlod & A. Daloz 10.5194/tc-18-1959-2024
13 citations as recorded by crossref.
- Optimization of snow-related processes in Noah-MP land surface model over the mid-latitudes of Asian region X. Cao et al. 10.1016/j.atmosres.2024.107711
- Improving regional climate simulations based on a hybrid data assimilation and machine learning method X. He et al. 10.5194/hess-27-1583-2023
- Observational Constraint on the Contribution of Surface Albedo Feedback to the Amplified Tibetan Plateau Surface Warming Y. Chen et al. 10.1029/2021JD036085
- Impacts of snow cover on micrometeorological conditions and rural air quality in Northeast China X. Li et al. 10.1016/j.atmosres.2022.106516
- Observed and projected declines in glacier albedo across the Third Pole in the 21st century S. Ren et al. 10.1016/j.oneear.2024.08.010
- Regional climate dynamical downscaling over the Tibetan Plateau—From quarter-degree to kilometer-scale Y. Gao et al. 10.1007/s11430-022-9968-4
- Performance of the WRF Model at the Convection‐Permitting Scale in Simulating Snowfall and Lake‐Effect Snow Over the Tibetan Plateau Q. Lin et al. 10.1029/2022JD038433
- Reducing the Cold Bias of the WRF Model Over the Tibetan Plateau by Implementing a Snow Coverage‐Topography Relationship and a Fresh Snow Albedo Scheme X. Zhou et al. 10.1029/2023MS003626
- Improving snow albedo parameterization scheme based on remote sensing data H. Li et al. 10.1016/j.atmosres.2022.106602
- Strengthening the three-dimensional comprehensive observation system of multi-layer interaction on the Tibetan Plateau to cope with the warming and wetting trend Y. Ma et al. 10.1016/j.aosl.2022.100224
- 青藏高原气候动力降尺度——从<bold>1/4</bold>度到公里尺度 艳. 高 et al. 10.1360/SSTe-2022-0015
- Moderate-resolution snow depth product retrieval from passive microwave brightness data over Xinjiang using machine learning approach Y. Liu et al. 10.1080/17538947.2023.2299208
- Snow depth in high-resolution regional climate model simulations over southern Germany – suitable for extremes and impact-related research? B. Poschlod & A. Daloz 10.5194/tc-18-1959-2024
Latest update: 23 Nov 2024
Short summary
Albedo is a key factor in land surface energy balance, which is difficult to successfully reproduce by models. Here, we select eight snow events on the Tibetan Plateau to evaluate the universal improvements of our improved albedo scheme. The RMSE relative reductions for temperature, albedo, sensible heat flux and snow depth reach 27%, 32%, 13% and 21%, respectively, with remarkable increases in the correlation coefficients. This presents a strong potential of our scheme for modeling snow events.
Albedo is a key factor in land surface energy balance, which is difficult to successfully...
