Articles | Volume 17, issue 21
https://doi.org/10.5194/gmd-17-7629-2024
https://doi.org/10.5194/gmd-17-7629-2024
Model description paper
 | 
30 Oct 2024
Model description paper |  | 30 Oct 2024

At-scale Model Output Statistics in mountain environments (AtsMOS v1.0)

Maximillian Van Wyk de Vries, Tom Matthews, L. Baker Perry, Nirakar Thapa, and Rob Wilby

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Cited articles

Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55, https://doi.org/10.1038/nature14956, 2015. a
Chen, T. and Guestrin, C.: XGBoost: A Scalable Tree Boosting System, in: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '16, Association for Computing Machinery, New York, NY, USA, 785–794, https://doi.org/10.1145/2939672.2939785, 2016. a, b, c
Chkeir, S., Anesiadou, A., Mascitelli, A., and Biondi, R.: Nowcasting extreme rain and extreme wind speed with machine learning techniques applied to different input datasets, Atmos. Res., 282, 106548, https://doi.org/10.1016/j.atmosres.2022.106548, 2023. a
Corbari, C., Ravazzani, G., Perotto, A., Lanzingher, G., Lombardi, G., Quadrio, M., Mancini, M., and Salerno, R.: Weekly Monitoring and Forecasting of Hydropower Production Coupling Meteo-Hydrological Modeling with Ground and Satellite Data in the Italian Alps, Hydrology, 9, 29, https://doi.org/10.3390/hydrology9020029, 2022. a
Ellis-Petersen, H.: Climate change to blame for up to 17 deaths on Mount Everest, experts say, The Guardian, https://www.theguardian.com/world/2023/may/30/climate-change-to-blame-for-up-to-17-deaths-on-mount-everest-experts-say (last access: 28 October 2024), 2023. a
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Short summary
This paper introduces the AtsMOS workflow, a new tool for improving weather forecasts in mountainous areas. By combining advanced statistical techniques with local weather data, AtsMOS can provide more accurate predictions of weather conditions. Using data from Mount Everest as an example, AtsMOS has shown promise in better forecasting hazardous weather conditions, making it a valuable tool for communities in mountainous regions and beyond.