Articles | Volume 17, issue 2
https://doi.org/10.5194/gmd-17-911-2024
© 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/gmd-17-911-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
02 Feb 2024
Model description paper |
| 02 Feb 2024
| 02 Feb 2024
GEMS v1.0: Generalizable Empirical Model of Snow Accumulation and Melt, based on daily snow mass changes in response to climate and topographic drivers
Atabek Umirbekov
CORRESPONDING AUTHOR
Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Theodor-Lieser-Str. 2, 06120 Halle (Saale), Germany
Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), 39 Kari Niyazov Str., Tashkent, 100000, Uzbekistan
Richard Essery
School of Geosciences, University of Edinburgh, Edinburgh, EH9 3JW, United Kingdom
Daniel Müller
Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Theodor-Lieser-Str. 2, 06120 Halle (Saale), Germany
Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
Integrative Research Institute on Transformations of Human–Environment Systems (IRI THESys), Humboldt Universität-zu-Berlin, Berlin, Germany
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Short summary
We present a parsimonious snow model which simulates snow mass without the need for extensive calibration. The model is based on a machine learning algorithm that has been trained on diverse set of daily observations of snow accumulation or melt, along with corresponding climate and topography data. We validated the model using in situ data from numerous new locations. The model provides a promising solution for accurate snow mass estimation across regions where in situ data are limited.
We present a parsimonious snow model which simulates snow mass without the need for extensive...
