Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Daniel Princz"'
As part of the Great-Lakes Runoff Inter-comparison Project (GRIP-GL; Mai et al., 2022), which aims at comparing the performances of different hydrologic models over the Great-Lakes when calibrating them using the same meteorological inputs and geophy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27175db03684e83012b1c9f236e7eb06
https://doi.org/10.5194/egusphere-egu23-6986
https://doi.org/10.5194/egusphere-egu23-6986
Autor:
Juliane Mai, Hongren Shen, Bryan Tolson, Étienne Gaborit, Richard Arsenault, James Craig, Vincent Fortin, Lauren Fry, Martin Gauch, Daniel Klotz, Frederik Kratzert, Nicole O'Brien, Daniel Princz, Sinan Rasiya Koya, Tirthankar Roy, Frank Seglenieks, Narayan Shretha, Andre Guy Temgoua, Vincent Vionnet, Jonathan Waddell
Model intercomparison studies are carried out to test and compare the simulated outputs of various model setups over the same study domain. The Great Lakes region is such a domain of high public interest as it not only resembles a challenging region
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6447bc19091ffeea73aebce8073754eb
https://doi.org/10.5194/egusphere-egu23-968
https://doi.org/10.5194/egusphere-egu23-968
Autor:
Mohammad Mohammadlou, Abdolreza Bahremand, Daniel Princz, Nicholas Kinar, Amin Haghnegahdar, Saman Razavi
Publikováno v:
Natural Resource Modeling. 35
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9353edb5f4b9686feec721f2f654feab
https://doi.org/10.1111/nrm.12343
https://doi.org/10.1111/nrm.12343
Autor:
Howard S. Wheater, John W. Pomeroy, Alain Pietroniro, Bruce Davison, Mohamed Elshamy, Fuad Yassin, Prabin Rokaya, Abbas Fayad, Zelalem Tesemma, Daniel Princz, Youssef Loukili, Chris M. DeBeer, Andrew M. Ireson, Saman Razavi, Karl‐Erich Lindenschmidt, Amin Elshorbagy, Matthew MacDonald, Mohamed Abdelhamed, Amin Haghnegahdar, Ala Bahrami
Publikováno v:
Hydrological Processes. 36
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d75364e6235851f69722c4652fd2b492
https://doi.org/10.1002/hyp.14557
https://doi.org/10.1002/hyp.14557
Autor:
Shervan Gharari, Amin Haghnegahdar, Sungwook Wi, Bryan A. Tolson, Hervé Awoye, Emily A. Bradley, James R. Craig, Martin Gauch, Juliane Mai, Tricia A. Stadnyk, Rohini Kumar, Sabine Attinger, Frank Seglenieks, Vincent Fortin, Nicolas Gasset, Hongren Shen, Nandita B. Basu, Lauren M. Fry, Narayan Kumar Shrestha, Luis Samaniego, Timothy S. Hunter, Meghan McLeod, André G. T. Temgoua, Oldrich Rakovec, Xiaojing Ni, Étienne Gaborit, Prasad Daggupati, Tirthankar Roy, Mohamed Elshamy, Jimmy Lin, Alain Pietroniro, Daniel Princz, Saman Razavi, Yongping Yuan
Publikováno v:
J Hydrol Eng
Hydrologic model intercomparison studies help to evaluate the agility of models to simulate variables such as streamflow, evaporation, and soil moisture. This study is the third in a sequence of the Great Lakes Runoff Intercomparison Projects. The de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7642570e6feb7c8305756ce167faf25a
https://doi.org/10.1061/(asce)he.1943-5584.0002097
https://doi.org/10.1061/(asce)he.1943-5584.0002097
Autor:
Matthew K. MacDonald, Bruce Davison, Zelalem Tesemma, Fuad Yassin, Saman Razavi, Mohamed Elshamy, Karl-Erich Lindenschmidt, Ala Bahrami, C. M. DeBeer, John W. Pomeroy, Abbas Fayad, Prabin Rokaya, Amin Haghnegahdar, Alain Pietroniro, Daniel Princz, Mohamed S. Abdelhamed, Howard Wheater, Andrew Ireson, Amin Elshorbagy, Youssef Loukili
Cold regions provide water resources for half the global population yet face rapid change. Their hydrology is dominated by snow, ice and frozen soils, and climate warming is having profound effects. Hydrological models have a key role in predicting c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17cdeec260a925906a725ad52388ac08
https://doi.org/10.22541/au.162738548.88997933/v1
https://doi.org/10.22541/au.162738548.88997933/v1
The Global Environmental Multiscale Model (GEM) is an integrated forecasting and data assimilation system developed by Environment and Climate Change Canada. The model is currently in operational use for data assimilation and forecasting at global 25
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2289e6c042a97304e7cbc65e7c6d4c5
https://doi.org/10.21203/rs.3.rs-216566/v1
https://doi.org/10.21203/rs.3.rs-216566/v1
Publikováno v:
Journal of Hydrology. 600:126562
The hydrology of the Canadian prairie region is complicated by the existence of numerous land depressions that change the contributing area dynamically and result in a non-linear and hysteretic relationship between contributing area and storage. Depr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09172c3038ee95dd58a85058f667a395
https://doi.org/10.1016/j.jhydrol.2021.126562
https://doi.org/10.1016/j.jhydrol.2021.126562
Autor:
Saman Razavi, Kalifa Goïta, Bruce Davison, Ala Bahrami, Ramata Magagi, Mohamed Elshamy, Daniel Princz
Publikováno v:
Journal of Hydrology. 597:125744
Accurate estimation of snow mass or snow water equivalent (SWE) over space and time is required for global and regional predictions of the effects of climate change. This work investigates whether integration of remotely sensed terrestrial water stor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c3be313332598991d8580494aae746a
https://doi.org/10.1016/j.jhydrol.2020.125744
https://doi.org/10.1016/j.jhydrol.2020.125744
Autor:
Zilefac Elvis Asong, Mohamed Ezzat Elshamy, Daniel Princz, Howard Simon Wheater, John W. Pomeroy, Alain Pietroniro, Alex Cannon
Cold regions hydrology is very sensitive to the impacts of climate warming. Impacts of warming over recent decades in western Canada include glacier retreat, permafrost thaw and changing patterns of precipitation, with increased proportion of winter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::118477521566f6c84a6dad7062f61b33
https://doi.org/10.5194/essd-2019-103
https://doi.org/10.5194/essd-2019-103