Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Stefano Endrizzi"'
Publikováno v:
PLoS ONE, Vol 10, Iss 1, p e0116435 (2015)
The observation could be used to reduce the model uncertainties with data assimilation. If the observation cannot cover the whole model area due to spatial availability or instrument ability, how to do data assimilation at locations not covered by ob
Externí odkaz:
https://doaj.org/article/9ed438a931cf4b3099919ce587b31ea2
Publikováno v:
Hydrological Processes. 31:4151-4168
In this paper, we addressed a sensitivity analysis of the snow module of the GEOtop2.0 model at point and catchment scale in a small high-elevation catchment in the Eastern Italian Alps (catchment size: 61 km2). Simulated snow depth and snow water eq
Autor:
E. Cordano, Jens Christian Refsgaard, Claudio Paniconi, Reed M. Maxwell, Stefan Kollet, Simon Stisen, Stefano Endrizzi, Giacomo Bertoldi, Emmanuel Mouche, Young-Jin Park, Mauro Sulis, Claude Mugler, Evgeny Kikinzon, Mario Putti, Ethan T. Coon, Edward A. Sudicky
Publikováno v:
Water Resources Research. 53:867-890
Emphasizing the physical intricacies of integrated hydrology and feedbacks in simulating connected, variably saturated groundwater-surface water systems, the Integrated Hydrologic Model Intercomparison Project initiated a second phase (IH-MIP2), incr
Publikováno v:
The Cryosphere, Vol 9, Iss 1, Pp 411-426 (2015)
Numerical simulations of land surface processes are important in order to perform landscape-scale assessments of earth systems. This task is problematic in complex terrain due to (i) high-resolution grids required to capture strong lateral variabilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25360a15c6fb55d6aa474a03f1355790
https://www.the-cryosphere.net/9/411/2015/
https://www.the-cryosphere.net/9/411/2015/
Publikováno v:
Water Resources Research
Autor:
Stefano Endrizzi, Philip Marsh
Publikováno v:
Hydrology Research. 41:471-491
Vegetation has a significant influence on snow accumulation and energy availability for snowmelt. This is particularly true in the vicinity of the arctic treeline, characterized by the alternation of shrub-tundra and open-tundra, with the former expe
Publikováno v:
PLoS ONE
PLoS ONE, Vol 10, Iss 1, p e0116435 (2015)
PLoS ONE, Vol 10, Iss 1, p e0116435 (2015)
The observation could be used to reduce the model uncertainties with data assimilation. If the observation cannot cover the whole model area due to spatial availability or instrument ability, how to do data assimilation at locations not covered by ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::094775b97603d61a82e54b28efd91d52
http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0116435&representation=PDF
http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0116435&representation=PDF
Publikováno v:
Hydrological Processes. 18:3667-3679
A snow accumulation and melt module implemented in the GEOTOP model is presented and tested. GEOTOP, a distributed model of the hydrological cycle, based on digital elevation models (DEMs), calculates the discharge at the basin outlet and estimates t
Publikováno v:
Geoscientific Model Development, Vol 6, Iss 4, Pp 1319-1336 (2013)
Before operational use or for decision making, models must be validated, and the degree of trust in model outputs should be quantified. Often, model validation is performed at single locations due to the lack of spatially-distributed data. Since the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eacfc182ded7c4a11db53ca6e9fea705
https://www.zora.uzh.ch/id/eprint/86893/
https://www.zora.uzh.ch/id/eprint/86893/
Publikováno v:
Hydrological Processes; Dec2004, Vol. 18 Issue 18, p3667-3679, 13p