Evaluation of annual maximum snow depth data estimation from the European-wide reanalysis C3S MTMSI (Copernicus Climate Change Service – Mountain Tourism Meteorological and Snow Indicators) against in-situ observations
Elisa Kamir,Samuel Morin,Guillaume Evin,Penelope Gehring,Bodo Wichura,and Ali Nadir Arslan
Elisa Kamir
Météo-France, CNRS, Univ. Grenoble Alpes, Université de Toulouse, CNRM, Centre d'Études de la Neige, Grenoble and Toulouse, France
This article describes a dataset of annual snow depth maximum across Europe, from 1961 to 2015, based on a regional reanalysis. It evaluates the performance of the dataset, against in-situ snow depth observations. This dataset is found to perform well in most environments, with challenges at high elevation and some coastal areas. Assessing the quality of this dataset is necessary in order to use it as a baseline to infer future changes of extreme snow loads under climate change.
This article describes a dataset of annual snow depth maximum across Europe, from 1961 to 2015,...