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Naslov:An enhanced Python framework for hydrological modeling in alpine catchments: snow hysteresis and glacier ice melt
Avtorji:ID Masten, Martin (Avtor)
ID Seelig, Simon (Avtor)
ID Vremec, Matevž (Avtor)
ID Seelig, Magdalena (Avtor)
ID Winkler, Gerfried (Avtor)
Datoteke:URL https://www.sciencedirect.com/science/article/pii/S1364815225005262?via%3Dihub
 
.pdf Masten_2026_EndModSoft_PythonFramework.pdf (9,67 MB)
MD5: EB45DE5E2C1A3F447DE2CCFF9A7997A4
 
Jezik:Angleški jezik
Vrsta gradiva:Neznano
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:UAMEU - Univerza Alma Mater Europaea
Opis:Simulating snow cover and glacier ice melt is essential for understanding hydrological processes in high-alpine catchments. We present a new Python extension to the Rainfall-Runoff Modeling Playground (RRMPG) that incorporates two key alpine-specific processes: snow cover hysteresis and glacier ice melt. Snow hysteresis captures the asymmetric evolution of snow-covered area between accumulation and melt periods, while glacier melt modeling is crucial in glacierized catchments due to its strong influence on water balance. The model is tested in two catchments in the ¨Otztal Alps and shows high accuracy in simulating runoff and snow cover dynamics. A multi-objective calibration approach using observed runoff and MODIS snow cover data improves model robustness. Designed for modularity and interoperability, the framework integrates easily with tools for calibration, sensitivity analysis, and data visualization. This open-source extension advances hydrological modeling in complex alpine environments by offering enhanced process representation, flexibility, and compatibility with Python-based workflows.
Ključne besede:snow model, glacier model, alpine hydrology, Python, snow cover hysteresis, rainfall-runoff modeling
Datum objave:01.02.2026
Leto izida:2026
Št. strani:11 str.
Številčenje:Vol. 197, [article no.] ǂ106842
PID:20.500.12556/ReVIS-13350 Novo okno
UDK:556.38:004.438
ISSN pri članku:1873-6726
COBISS.SI-ID:272597251 Novo okno
DOI:10.1016/j.envsoft.2025.106842 Novo okno
Opomba:Nasl. z nasl. zaslona; Opis vira z dne 23. 3. 2026;
Datum objave v ReVIS:23.03.2026
Število ogledov:24
Število prenosov:0
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Environmental modelling & software
Založnik:Elsevier
ISSN:1873-6726
COBISS.SI-ID:175447555 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:model snežne odeje, model ledenika, alpska hidrologija, Python, histerezis snežne odeje, modeliranje padavin in odtoka


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