Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 21
Articles | Volume 17, issue 21
https://doi.org/10.5194/gmd-17-7629-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-7629-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 21
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

Related authors

A Workflow to Identify and Monitor Slow-Moving Landslides through Spaceborne Optical Feature Tracking
Lorenzo Nava, Maximilian Van Wyk de Vries, and Louie Elliot Bell
EGUsphere, https://doi.org/10.5194/egusphere-2025-2795,https://doi.org/10.5194/egusphere-2025-2795, 2025
Short summary
Brief communication: Weak correlation between building damage and loss of life from landslides
Maximillian Van Wyk de Vries, Alexandre Dunant, Amy L. Johnson, Erin L. Harvey, Sihan Li, Katherine Arrell, Jeevan Baniya, Dipak Basnet, Gopi K. Basyal, Nyima Dorjee Bhotia, Simon J. Dadson, Alexander L. Densmore, Tek Bahadur Dong, Mark E. Kincey, Katie Oven, Anuradha Puri, and Nick J. Rosser
Nat. Hazards Earth Syst. Sci., 25, 1937–1942, https://doi.org/10.5194/nhess-25-1937-2025,https://doi.org/10.5194/nhess-25-1937-2025, 2025
Short summary
Impacts from cascading multi-hazards using hypergraphs: a case study from the 2015 Gorkha earthquake in Nepal
Alexandre Dunant, Tom R. Robinson, Alexander L. Densmore, Nick J. Rosser, Ragindra Man Rajbhandari, Mark Kincey, Sihan Li, Prem Raj Awasthi, Max Van Wyk de Vries, Ramesh Guragain, Erin Harvey, and Simon Dadson
Nat. Hazards Earth Syst. Sci., 25, 267–285, https://doi.org/10.5194/nhess-25-267-2025,https://doi.org/10.5194/nhess-25-267-2025, 2025
Short summary
Late Quaternary glacial maxima in southern Patagonia: insights from the Lago Argentino glacier lobe
Matias Romero, Shanti B. Penprase, Maximillian S. Van Wyk de Vries, Andrew D. Wickert, Andrew G. Jones, Shaun A. Marcott, Jorge A. Strelin, Mateo A. Martini, Tammy M. Rittenour, Guido Brignone, Mark D. Shapley, Emi Ito, Kelly R. MacGregor, and Marc W. Caffee
Clim. Past, 20, 1861–1883, https://doi.org/10.5194/cp-20-1861-2024,https://doi.org/10.5194/cp-20-1861-2024, 2024
Short summary
Modelling of post-monsoon drying in Nepal: implications for landslide hazard
Maximillian Van Wyk de Vries, Sihan Li, Katherine Arrell, Jeevan Baniya, Dipak Basnet, Gopi K. Basyal, Nyima Dorjee Bhotia, Alexander L. Densmore, Tek Bahadur Dong, Alexandre Dunant, Erin L. Harvey, Ganesh K. Jimee, Mark E. Kincey, Katie Oven, Sarmila Paudyal, Dammar Singh Pujara, Anuradha Puri, Ram Shrestha, Nick J. Rosser, and Simon J. Dadson
EGUsphere, https://doi.org/10.5194/egusphere-2024-397,https://doi.org/10.5194/egusphere-2024-397, 2024
Preprint archived
Short summary
More articles (4)

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
More articles (29)
Download
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.
Read more
Share