Articles | Volume 25, issue 7
https://doi.org/10.5194/hess-25-3783-2021
© 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-25-3783-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jul 2021
Research article |
| 02 Jul 2021
| 02 Jul 2021
Decision tree-based detection of blowing snow events in the European Alps
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
Weiqiang Ma
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
University of Chinese Academy of Sciences, Beijing, 100049, China
Yaoming Ma
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
University of Chinese Academy of Sciences, Beijing, 100049, China
Zeyong Hu
Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
Genhou Sun
School of Atmospheric Sciences, Sun Yat-sen University, 135 Xingang Xi Road, Guangzhou, 510275, China
Yizhe Han
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
University of Chinese Academy of Sciences, Beijing, 100049, China
Wei Hu
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
University of Chinese Academy of Sciences, Beijing, 100049, China
Rongmingzhu Su
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
University of Chinese Academy of Sciences, Beijing, 100049, China
Yixi Fan
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
University of Chinese Academy of Sciences, Beijing, 100049, China
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Cited
9 citations as recorded by crossref.
- Long-term land–atmosphere energy and water exchange observational dataset over central Tibetan Plateau H. Yu et al. https://doi.org/10.5194/essd-17-6871-2025
- Real-Time Detection of Blowing Snow Events on Rural Mountainous Freeways Using Existing Webcam Infrastructure and Convolutional Neural Networks A. Mohamed et al. https://doi.org/10.3390/electronics15061188
- Explainable machine learning for predictive modeling of blowing snow detection and meteorological feature assessment using XGBoost-SHAP F. Wang et al. https://doi.org/10.1371/journal.pone.0318835
- Snow depth variability across the Qinghai Plateau and its influencing factors during 1980–2018 H. Ma et al. https://doi.org/10.1002/joc.7883
- Comparison of varied complexity parameterizations in estimating blowing snow occurrences Z. Xie et al. https://doi.org/10.1016/j.jhydrol.2023.129291
- Physical-based model for exposure coefficient and its validation towards the second generation of Eurocode EN 1991-1-3 for roof snow loads T. Kringlebotn Thiis et al. https://doi.org/10.1016/j.jobe.2022.104665
- Exploring stable isotope patterns in monthly precipitation across Southeast Asia using contemporary deep learning models and SHapley Additive exPlanations (SHAP) techniques M. Heydarizad et al. https://doi.org/10.1080/10256016.2025.2508811
- Synergistic Use of Time-Series Multispectral and Synthetic Aperture Radar Data for Adaptive Glacier Surface-State Mapping Z. Xing et al. https://doi.org/10.1109/JSTARS.2026.3718657
- A Framework for Estimating the Probability Distribution of Event Runoff Coefficient in Ungauged Catchments Y. Zheng et al. https://doi.org/10.1029/2022WR033227
9 citations as recorded by crossref.
- Long-term land–atmosphere energy and water exchange observational dataset over central Tibetan Plateau H. Yu et al. https://doi.org/10.5194/essd-17-6871-2025
- Real-Time Detection of Blowing Snow Events on Rural Mountainous Freeways Using Existing Webcam Infrastructure and Convolutional Neural Networks A. Mohamed et al. https://doi.org/10.3390/electronics15061188
- Explainable machine learning for predictive modeling of blowing snow detection and meteorological feature assessment using XGBoost-SHAP F. Wang et al. https://doi.org/10.1371/journal.pone.0318835
- Snow depth variability across the Qinghai Plateau and its influencing factors during 1980–2018 H. Ma et al. https://doi.org/10.1002/joc.7883
- Comparison of varied complexity parameterizations in estimating blowing snow occurrences Z. Xie et al. https://doi.org/10.1016/j.jhydrol.2023.129291
- Physical-based model for exposure coefficient and its validation towards the second generation of Eurocode EN 1991-1-3 for roof snow loads T. Kringlebotn Thiis et al. https://doi.org/10.1016/j.jobe.2022.104665
- Exploring stable isotope patterns in monthly precipitation across Southeast Asia using contemporary deep learning models and SHapley Additive exPlanations (SHAP) techniques M. Heydarizad et al. https://doi.org/10.1080/10256016.2025.2508811
- Synergistic Use of Time-Series Multispectral and Synthetic Aperture Radar Data for Adaptive Glacier Surface-State Mapping Z. Xing et al. https://doi.org/10.1109/JSTARS.2026.3718657
- A Framework for Estimating the Probability Distribution of Event Runoff Coefficient in Ungauged Catchments Y. Zheng et al. https://doi.org/10.1029/2022WR033227
Saved (final revised paper)
Latest update: 29 Aug 2026
Short summary
Ground information on the occurrence of blowing snow has been sorely lacking because direct observations of blowing snow are sparse in time and space. In this paper, we investigated the potential capability of the decision tree model to detect blowing snow events in the European Alps. Trained with routine meteorological observations, the decision tree model can be used as an efficient tool to detect blowing snow occurrences across different regions requiring limited meteorological variables.
Ground information on the occurrence of blowing snow has been sorely lacking because direct...
