Exploring the Physics of Two Thermodynamic Lake Ice Models

Abstract Thermodynamic lake ice models are valuable tools in the simulation of ice formation, growth, and decay. Appropriate application of these models necessitates a thorough understanding of model physics. Here, we examine the physics of two thermodynamic lake ice models, the Canadian Lake Ice Model (CLIMo) and the High‐Resolution Snow and Ice Model (HIGHTSI), for understanding key drivers and limitations in modeling of ice evolution. A cold bias in modeled surface temperatures was found to control differences in ice evolution through differences in the magnitudes of radiative and turbulent fluxes. Simplified snow physics and precipitation forcings were found to control the simulation of snow‐ice through controlling freeboard. Break‐up dates were highly sensitive to the selected melt albedo scheme. Freeze‐up dates were controlled by model specific calibration or initialization procedures. Recommendations for advancements to current model processes are presented for future developments to thermodynamic ice models.

Authors

Institutions

Publication Details

Journal
Water Resources Research
Published
2025-05-01
DOI
https://doi.org/10.1029/2024wr038615
Citations
3
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
3.90

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Physics of Two Thermodynamic Lake Ice Models

Homa Kheyrollah Pour, Bin Cheng, Arash Rafat
3 citations
Water Resources Research
Arctic and Antarctic ice dynamics
3.90
article

Exploring the Physics of Two Thermodynamic Lake Ice Models

Homa Kheyrollah Pour, Bin Cheng, Arash Rafat
article en
3 citations

Abstract

Abstract Thermodynamic lake ice models are valuable tools in the simulation of ice formation, growth, and decay. Appropriate application of these models necessitates a thorough understanding of model physics. Here, we examine the physics of two thermodynamic lake ice models, the Canadian Lake Ice Model (CLIMo) and the High‐Resolution Snow and Ice Model (HIGHTSI), for understanding key drivers and limitations in modeling of ice evolution. A cold bias in modeled surface temperatures was found to control differences in ice evolution through differences in the magnitudes of radiative and turbulent fluxes. Simplified snow physics and precipitation forcings were found to control the simulation of snow‐ice through controlling freeboard. Break‐up dates were highly sensitive to the selected melt albedo scheme. Freeze‐up dates were controlled by model specific calibration or initialization procedures. Recommendations for advancements to current model processes are presented for future developments to thermodynamic ice models.

Water Resources ResearchVol. 61(5)
Finnish Meteorological Institute (FI), Wilfrid Laurier University (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 7%
Arctic and Antarctic ice dynamics
3.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.