Details
Original language | English |
---|---|
Pages (from-to) | 1540-1557 |
Number of pages | 18 |
Journal | Hydrological sciences journal |
Volume | 63 |
Issue number | 10 |
Publication status | Published - 27 Jul 2018 |
Abstract
We present a new model extension for the Water balance Simulation Model, WaSiM, which features (i) snow interception and (ii) modified meteorological conditions under coniferous forest canopies, complementing recently developed model extensions for particular mountain hydrological processes. Two study areas in Austria and Germany are considered in this study. To supplement and constrain the modelling experiments with on-site observations, a network of terrestrial time-lapse cameras was set up in one of these catchments. The spatiotemporal patterns of snow depth inside the forest and at the adjacent open field sites were recorded along with snow interception dynamics. Comparison of observed and modelled snow cover and canopy interception indicates that the new version of WaSiM reliably reconstructs the variability of snow accumulation for both the forest and the open field. The Nash-Sutcliffe efficiency computed for selected runoff events in spring increases from −0.68 to 0.71 and 0.21 to 0.87, respectively.
Keywords
- forest canopy, hydrological modelling, snow interception and sublimation, terrestrial time-lapse camera network, WaSiM
ASJC Scopus subject areas
- Environmental Science(all)
- Water Science and Technology
Sustainable Development Goals
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In: Hydrological sciences journal, Vol. 63, No. 10, 27.07.2018, p. 1540-1557.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Modelling forest snow processes with a new version of WaSiM
AU - Förster, Kristian
AU - Garvelmann, Jakob
AU - Meißl, Gertraud
AU - Strasser, Ulrich
N1 - Funding information: This work was supported by the Austrian Climate and Energy Fund under Grant [ACRP6 – STELLA – KR13AC6K11109] and the Bavarian State Ministry of the Environment and Consumer Protection (StMUV) [Grant BIAS II – TKP01KPB-66747]. This work was supported by the Austrian Climate and Energy Fund under Grant [ACRP6–STELLA–KR13AC6K11109] and the Bavarian State Ministry of the Environment and Consumer Protection (StMUV) [Grant BIAS II–TKP01KPB-66747]. We would like to thank several people who contributed significantly to the success of this study: Dr Thomas Marke, Elisabeth Mair, Marcel Siegmann, Nico Bahro, Florentin Brendler and Julia Ferstl (all at the University of Innsbruck) were engaged in general support of the two projects and helped with the field work, image processing and figure preparation; Dr Stefan Pohl (†) (University of Freiburg) participated in the development of the methodology of the time-lapse photography and helped with the analysis of the resulting digital images; Professor Dr Herbert Formayer and Dr Imran Nadeem (BOKU Vienna) provided the INCA data; Dr Jörg Schulla (Zürich) programmed the interface in WaSiM, and Dr Florian Hanzer (University of Innsbruck) helped to debug the new model extension; Alois Simon shared his local experience to interpret the soil maps, and Patricia Schrittwieser (both Federal State of Tyrol) helped in the parameterization of the tree species in the study area. Meteorological data were provided by the Hydrographic Service of Tyrol. Additional meteorological and hydrological data were kindly provided by the Harzwasserwerke GmbH, Hildesheim, Germany. Last but not least, the authors would also like to thank one anonymous referee, as well as Dr Michal Jenicek and the Associate Editor, Dr Guillaume Thirel, for their helpful comments and suggestions that significantly helped to improve the quality of the manuscript.
PY - 2018/7/27
Y1 - 2018/7/27
N2 - We present a new model extension for the Water balance Simulation Model, WaSiM, which features (i) snow interception and (ii) modified meteorological conditions under coniferous forest canopies, complementing recently developed model extensions for particular mountain hydrological processes. Two study areas in Austria and Germany are considered in this study. To supplement and constrain the modelling experiments with on-site observations, a network of terrestrial time-lapse cameras was set up in one of these catchments. The spatiotemporal patterns of snow depth inside the forest and at the adjacent open field sites were recorded along with snow interception dynamics. Comparison of observed and modelled snow cover and canopy interception indicates that the new version of WaSiM reliably reconstructs the variability of snow accumulation for both the forest and the open field. The Nash-Sutcliffe efficiency computed for selected runoff events in spring increases from −0.68 to 0.71 and 0.21 to 0.87, respectively.
AB - We present a new model extension for the Water balance Simulation Model, WaSiM, which features (i) snow interception and (ii) modified meteorological conditions under coniferous forest canopies, complementing recently developed model extensions for particular mountain hydrological processes. Two study areas in Austria and Germany are considered in this study. To supplement and constrain the modelling experiments with on-site observations, a network of terrestrial time-lapse cameras was set up in one of these catchments. The spatiotemporal patterns of snow depth inside the forest and at the adjacent open field sites were recorded along with snow interception dynamics. Comparison of observed and modelled snow cover and canopy interception indicates that the new version of WaSiM reliably reconstructs the variability of snow accumulation for both the forest and the open field. The Nash-Sutcliffe efficiency computed for selected runoff events in spring increases from −0.68 to 0.71 and 0.21 to 0.87, respectively.
KW - forest canopy
KW - hydrological modelling
KW - snow interception and sublimation
KW - terrestrial time-lapse camera network
KW - WaSiM
UR - http://www.scopus.com/inward/record.url?scp=85053902668&partnerID=8YFLogxK
U2 - 10.1080/02626667.2018.1518626
DO - 10.1080/02626667.2018.1518626
M3 - Article
AN - SCOPUS:85053902668
VL - 63
SP - 1540
EP - 1557
JO - Hydrological sciences journal
JF - Hydrological sciences journal
SN - 0262-6667
IS - 10
ER -