Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme

Abstract 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 changing water resources but are challenge...

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Published in:Hydrological Processes
Main Authors: Wheater, Howard S., Pomeroy, John W., Pietroniro, Alain, Davison, Bruce, Elshamy, Mohamed, Yassin, Fuad, Rokaya, Prabin, Fayad, Abbas, Tesemma, Zelalem, Princz, Daniel, Loukili, Youssef, DeBeer, Chris M., Ireson, Andrew M., Razavi, Saman, Lindenschmidt, Karl‐Erich, Elshorbagy, Amin, MacDonald, Matthew, Abdelhamed, Mohamed, Haghnegahdar, Amin, Bahrami, Ala
Other Authors: Canada Excellence Research Chairs, Government of Canada, Canada First Research Excellence Fund, Canada Foundation for Innovation, Canadian Foundation for Climate and Atmospheric Sciences, Environment and Climate Change Canada, Natural Sciences and Engineering Research Council of Canada
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2022
Subjects:
Ice
Online Access:http://dx.doi.org/10.1002/hyp.14557
https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14557
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/hyp.14557
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spelling crwiley:10.1002/hyp.14557 2024-06-23T07:53:05+00:00 Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme Wheater, Howard S. Pomeroy, John W. Pietroniro, Alain Davison, Bruce Elshamy, Mohamed Yassin, Fuad Rokaya, Prabin Fayad, Abbas Tesemma, Zelalem Princz, Daniel Loukili, Youssef DeBeer, Chris M. Ireson, Andrew M. Razavi, Saman Lindenschmidt, Karl‐Erich Elshorbagy, Amin MacDonald, Matthew Abdelhamed, Mohamed Haghnegahdar, Amin Bahrami, Ala Canada Excellence Research Chairs, Government of Canada Canada First Research Excellence Fund Canada Foundation for Innovation Canadian Foundation for Climate and Atmospheric Sciences Environment and Climate Change Canada Natural Sciences and Engineering Research Council of Canada 2022 http://dx.doi.org/10.1002/hyp.14557 https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14557 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/hyp.14557 en eng Wiley http://creativecommons.org/licenses/by-nc/4.0/ Hydrological Processes volume 36, issue 4 ISSN 0885-6087 1099-1085 journal-article 2022 crwiley https://doi.org/10.1002/hyp.14557 2024-05-31T08:12:45Z Abstract 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 changing water resources but are challenged in cold regions. Ground‐based data to quantify meteorological forcing and constrain model parameterization are limited, while hydrological processes are complex, often controlled by phase change energetics. River flows are impacted by poorly quantified human activities. This paper discusses the scientific and technical challenges of the large‐scale modelling of cold region systems and reports recent modelling developments, focussing on MESH, the Canadian community hydrological land surface scheme. New cold region process representations include improved blowing snow transport and sublimation, lateral land‐surface flow, prairie pothole pond storage dynamics, frozen ground infiltration and thermodynamics, and improved glacier modelling. New algorithms to represent water management include multistage reservoir operation. Parameterization has been supported by field observations and remotely sensed data; new methods for parameter identification have been used to evaluate model uncertainty and support regionalization. Additionally, MESH has been linked to broader decision‐support frameworks, including river ice simulation and hydrological forecasting. The paper also reports various applications to the Saskatchewan and Mackenzie River basins in western Canada (0.4 and 1.8 million km 2 ). These basins arise in glaciated mountain headwaters, are partly underlain by permafrost, and include remote and incompletely understood forested, wetland, agricultural and tundra ecoregions. These illustrate the current capabilities and limitations of cold region modelling, and the extraordinary challenges to prediction, including the need to overcoming biases in forcing data sets, which can have disproportionate effects on the simulated ... Article in Journal/Newspaper glacier* Ice Mackenzie river permafrost Tundra Wiley Online Library Canada Mackenzie River Hydrological Processes 36 4
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract 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 changing water resources but are challenged in cold regions. Ground‐based data to quantify meteorological forcing and constrain model parameterization are limited, while hydrological processes are complex, often controlled by phase change energetics. River flows are impacted by poorly quantified human activities. This paper discusses the scientific and technical challenges of the large‐scale modelling of cold region systems and reports recent modelling developments, focussing on MESH, the Canadian community hydrological land surface scheme. New cold region process representations include improved blowing snow transport and sublimation, lateral land‐surface flow, prairie pothole pond storage dynamics, frozen ground infiltration and thermodynamics, and improved glacier modelling. New algorithms to represent water management include multistage reservoir operation. Parameterization has been supported by field observations and remotely sensed data; new methods for parameter identification have been used to evaluate model uncertainty and support regionalization. Additionally, MESH has been linked to broader decision‐support frameworks, including river ice simulation and hydrological forecasting. The paper also reports various applications to the Saskatchewan and Mackenzie River basins in western Canada (0.4 and 1.8 million km 2 ). These basins arise in glaciated mountain headwaters, are partly underlain by permafrost, and include remote and incompletely understood forested, wetland, agricultural and tundra ecoregions. These illustrate the current capabilities and limitations of cold region modelling, and the extraordinary challenges to prediction, including the need to overcoming biases in forcing data sets, which can have disproportionate effects on the simulated ...
author2 Canada Excellence Research Chairs, Government of Canada
Canada First Research Excellence Fund
Canada Foundation for Innovation
Canadian Foundation for Climate and Atmospheric Sciences
Environment and Climate Change Canada
Natural Sciences and Engineering Research Council of Canada
format Article in Journal/Newspaper
author Wheater, Howard S.
Pomeroy, John W.
Pietroniro, Alain
Davison, Bruce
Elshamy, Mohamed
Yassin, Fuad
Rokaya, Prabin
Fayad, Abbas
Tesemma, Zelalem
Princz, Daniel
Loukili, Youssef
DeBeer, Chris M.
Ireson, Andrew M.
Razavi, Saman
Lindenschmidt, Karl‐Erich
Elshorbagy, Amin
MacDonald, Matthew
Abdelhamed, Mohamed
Haghnegahdar, Amin
Bahrami, Ala
spellingShingle Wheater, Howard S.
Pomeroy, John W.
Pietroniro, Alain
Davison, Bruce
Elshamy, Mohamed
Yassin, Fuad
Rokaya, Prabin
Fayad, Abbas
Tesemma, Zelalem
Princz, Daniel
Loukili, Youssef
DeBeer, Chris M.
Ireson, Andrew M.
Razavi, Saman
Lindenschmidt, Karl‐Erich
Elshorbagy, Amin
MacDonald, Matthew
Abdelhamed, Mohamed
Haghnegahdar, Amin
Bahrami, Ala
Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme
author_facet Wheater, Howard S.
Pomeroy, John W.
Pietroniro, Alain
Davison, Bruce
Elshamy, Mohamed
Yassin, Fuad
Rokaya, Prabin
Fayad, Abbas
Tesemma, Zelalem
Princz, Daniel
Loukili, Youssef
DeBeer, Chris M.
Ireson, Andrew M.
Razavi, Saman
Lindenschmidt, Karl‐Erich
Elshorbagy, Amin
MacDonald, Matthew
Abdelhamed, Mohamed
Haghnegahdar, Amin
Bahrami, Ala
author_sort Wheater, Howard S.
title Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme
title_short Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme
title_full Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme
title_fullStr Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme
title_full_unstemmed Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme
title_sort advances in modelling large river basins in cold regions with modélisation environmentale communautaire—surface and hydrology (mesh), the canadian hydrological land surface scheme
publisher Wiley
publishDate 2022
url http://dx.doi.org/10.1002/hyp.14557
https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14557
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/hyp.14557
geographic Canada
Mackenzie River
geographic_facet Canada
Mackenzie River
genre glacier*
Ice
Mackenzie river
permafrost
Tundra
genre_facet glacier*
Ice
Mackenzie river
permafrost
Tundra
op_source Hydrological Processes
volume 36, issue 4
ISSN 0885-6087 1099-1085
op_rights http://creativecommons.org/licenses/by-nc/4.0/
op_doi https://doi.org/10.1002/hyp.14557
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