Original paper
1st Snow Data Assimilation Workshop in the framework of COST HarmoSnow ESSEM 1404
Helmert, Jürgen; Lange, Martin; Dong, Jiarui; de Rosnay, Patricia; Gustafsson, David; Churulin, Evgeniy; Kurzeneva, Ekaterina; Müller, Richard; Trentmann, Jörg; Souverijns, Niels; Koch, Roland; Böhm, Uwe; Bartik, Martin; Osuch, Marzena; Rozinkina, Inna; Bettems, Jean-Marie; Samuelsson, Patrick; Marcucci, Francesca; Milelli, Massimo
Meteorologische Zeitschrift Vol. 27 No. 4 (2018), p. 325 - 333
82 references
published: Nov 16, 2018
published online: Sep 10, 2018
manuscript accepted: Jul 27, 2018
manuscript revision received: Jun 15, 2018
manuscript revision requested: Mar 21, 2018
manuscript received: Jan 30, 2018
Open Access (paper may be downloaded free of charge)
Abstract
The 1st Snow Data Assimilation Workshop, organized under the COST Action ESSEM 1404 HarmoSnow, took place in Offenbach, Germany, on 8–9 March 2017. Of particular relevance for the workshop were thematic sessions on i) data assimilation methods and the use of snow observations, ii) snow observations and evaluation, iii) snow observations and physical snow models, and iv) snow observations and hydrological models. This report summarizes the scientific contributions presented at the workshop. The discussions mainly focused on methods for combining satellite observations with conventional in-situ snow measurements and modeling results, as well as on errors in the spatial and temporal representation of snow measurements for data assimilation in NWP and hydrological models. It has been shown that the assimilation of in-situ and satellite-based snow observations improves the quality of the snow analysis and forecast. However, in order to achieve this positive impact, a thorough quality control of the observational data is necessary, in particular because of the automation of the ground-based networks.