1. Modis Snowline Elevation Changes During Snowmelt Runoff Events in Europe
- Author
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Bjarki Hauksson, Juraj Parajka, Guillaume Thirel, Yeshewatesfa Hundecha, John F. Burkhart, Aynur Şensoy, Philippe Riboust, Jonathan Rizzi, Ladislav Holko, Michal Jenicek, Nejc Bezak, Pavel Krajčí, Alberto Viglione, Walter Mangini, Peter Molnar, University of Vienna [Vienna], FGG University of Ljubljana, University of Oslo (UiO), Slovak Academy of Sciences (SAS), Swedish Meteorological and Hydrological Institute (SMHI), Charles University [Prague] (CU), Mountain Rescue Service - Avalanche Prevention Center, Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (METIS), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Hydrosystèmes continentaux anthropisés : ressources, risques, restauration (UR HYCAR), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Norwegian Institute of Bioeconomy Research (NIBIO), Anadolu Üniversitesi (TURKEY), Slovenian Research Agency - Slovenia P2-0180, European Project: 603587,EC:FP7:ENV,FP7-ENV-2013-two-stage,SWITCH-ON(2013), European Project: 291152,EC:FP7:ERC,ERC-2011-ADG_20110209,FLOODCHANGE(2012), Anadolu Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, University of Ljubljana, École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research (NIBIO)
- Subjects
010504 meteorology & atmospheric sciences ,Snowmelt ,0207 environmental engineering ,Drainage basin ,Oceanografi, hydrologi och vattenresurser ,02 engineering and technology ,VDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910::Naturressursforvaltning: 914 ,01 natural sciences ,Oceanography, Hydrology and Water Resources ,Hydrology (agriculture) ,Europe ,MODIS ,Runoff events ,Snowline elevation ,Snow line ,020701 environmental engineering ,0105 earth and related environmental sciences ,Water Science and Technology ,Fluid Flow and Transfer Processes ,geography ,geography.geographical_feature_category ,Base flow ,Mechanical Engineering ,Elevation ,Hydraulic engineering ,VDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910::Andre landbruksfag: 919 ,6. Clean water ,13. Climate action ,[SDU]Sciences of the Universe [physics] ,Environmental science ,Physical geography ,TC1-978 ,Surface runoff ,Snow cover - Abstract
WOS: 000449717800011, This study evaluates MODIS snow cover characteristics for large number of snowmelt runoff events in 145 catchments from 9 countries in Europe. The analysis is based on open discharge daily time series from the Global Runoff Data Center database and daily MODIS snow cover data. Runoff events are identified by a base flow separation approach. The MODIS snow cover characteristics are derived from Terra 500 m observations (MOD10A1 dataset, V005) in the period 2000-2015 and include snow cover area, cloud coverage, regional snowline elevation (RSLE) and its changes during the snowmelt runoff events. The snowmelt events are identified by using estimated RSLE changes during a runoff event. The results indicate that in the majority of catchments there are between 3 and 6 snowmelt runoff events per year. The mean duration between the start and peak of snowmelt runoff events is about 3 days and the proportion of snowmelt events in all runoff events tends to increase with the maximum elevation of catchments. Clouds limit the estimation of snow cover area and RSLE, particularly for dates of runoff peaks. In most of the catchments, the median of cloud coverage during runoff peaks is larger than 80%. The mean minimum RSLE, which represents the conditions at the beginning of snowmelt events, is situated approximately at the mean catchment elevation. It means that snowmelt events do not start only during maximum snow cover conditions, but also after this maximum. The mean RSLE during snowmelt peaks is on average 170 m lower than at the start of the snowmelt events, but there is a large regional variability., European Commission FP7 [603587]; European Research Council under the ERC [291152]; Slovenian Research Agency [P2-0180], This work was supported by the European Commission FP7 funded research projects "Sharing Water-related Information to Tackle Changes in the Hydrosphere - for Operational Needs" (grant agreement number 603587), the European Research Council under the ERC Advanced Grant "Flood Change", project no. 291152) and the Slovenian Research Agency (grant P2-0180). The financial support is gratefully acknowledged. We would like also to thank the Global Runoff Data Centre, Koblenz, Germany and Czech Hydrometeorological Institute for providing daily runoff data for this work.
- Published
- 2019
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