One-dimensional simulation of lake and ice dynamics during winter

Accepted: 31 March 2014
HTML: 1071
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
An ice formation model, based on the solution of the heat conduction equation across blue ice, white ice and snow cover, is integrated into the Dynamic Reservoir Simulation Model (DYRESM) to allow for one-dimensional (vertical) winter simulation of lake dynamics during periods of ice cover. This is an extension of a previous three-layer snow and ice model to include two-way coupling between the ice and the water column. The process-based ice formation is suitable for application to mid-latitude regions and includes: snowmelt due to rain; formation of white ice; and variability in snow density, snow conductivity, and ice and snow albedo. The model was validated against published observations from Harmon lake, British Columbia, and new observations from Eagle lake, Ontario. The ice thickness and water column temperature profile beneath the ice were predicted with Root Mean Square Deviations (RMSD) of 1 cm and 0.38°C, respectively, during the winter of 1990-91in Harmon lake. In Eagle lake the 2011-12 year-round water column temperature profile was predicted with an RMSD of 1.8°C. Improved prediction of under-ice lake temperature, relative to published results from simpler models, demonstrates the need for models that accurately capture ice-formation processes, including ice to water column coupling, formation of both blue and white ice layers, and process-based ice and snow parameters (density, conductivity and albedo).
Supporting Agencies
Ontario Ministry of Environment Best in Science Program and Queen’s University-
Petri Kiuru, Anne Ojala, Ivan Mammarella, Jouni Heiskanen, Matti Kämäräinen, Timo Vesala, Timo HuttulaJournal of Geophysical Research: Biogeosciences : 2018
-
Miaomiao Qi, Xiaojun Yao, Xiaofeng Li, Hongyu Duan, Yongpeng Gao, Juan LiuJournal of Geographical Sciences : 2019
-
Wei Shi, Leon Boegman, Shiliang Shan, Yingming Zhao, Josef D. Ackerman, Zachary Amidon, Aidin Jabbari, Edward RosemanWater Resources Research : 2024
-
David P. Hamilton, Madeline R. Magee, Chin H. Wu, Timothy K. KratzInland Waters : 2018
-
Irene Caramatti, Frank Peeters, David Hamilton, Hilmar HofmannHydrological Processes : 2020
-
J. Boike, C. Georgi, G. Kirilin, S. Muster, K. Abramova, I. Fedorova, A. Chetverova, M. Grigoriev, N. Bornemann, M. LangerBiogeosciences : 2015
-
A. Oveisy, L. Boegman, Yerubandi R. RaoJournal of Great Lakes Research : 2015
-
Youcai Tuo, Yun Deng, Jia Li, Nan Li, Kefeng Li, Lang Wei, Zaixing ZhaoCold Regions Science and Technology : 2018
-
Ge Yang, Julia Blackburn, Yuntong She, Wenming ZhangJournal of Hydrology : 2025
-
Alireza Ghane, Leon BoegmanLimnology and Oceanography : 2023
-
J. Olsthoorn, E. W. Tedford, G. A. LawrenceGeophysical Research Letters : 2022
-
Miaomiao Qi, Shiyin Liu, Xiaojun Yao, Fuming Xie, Yongpeng GaoRemote Sensing : 2020
-
Alireza Ghane, Leon BoegmanLimnology and Oceanography : 2021
-
Alireza Ghane, Leon BoegmanJournal of Geophysical Research: Biogeosciences : 2025
-
Aidin Jabbari, Leon Boegman, Lewis A. MolotAquatic Sciences : 2025
-
Murray D. MacKay, Diana L. Verseghy, Vincent Fortin, Michael D. RennieJournal of Hydrometeorology : 2017
-
V. M. Stepanenko, I. A. Repina, G. Ganbat, G. DavaaIzvestiya, Atmospheric and Oceanic Physics : 2019
-
Nader Nakhaei, Josef D. Ackerman, Damien Bouffard, Yerubandi R. Rao, Leon BoegmanInland Waters : 2021
-
Ali Oveisy, Yerubandi R. Rao, Luis F. Leon, Serghei A. BocaniovJournal of Great Lakes Research : 2014
-
Georgiy Kirillin, Lijuan Wen, Tom ShatwellHydrology and Earth System Sciences : 2017