Preprints
https://doi.org/10.5194/egusphere-2024-2907
https://doi.org/10.5194/egusphere-2024-2907
10 Dec 2024
 | 10 Dec 2024
Status: this preprint is open for discussion.

Brief communication: Improving lake ice modeling in ORCHIDEE-FLake model using MODIS albedo data

Zacharie Titus, Amélie Cuynet, Elodie Salmon, and Catherine Ottlé

Abstract. The Flake lake model embedded in the ORCHIDEE land surface model was recently updated to better represent winter ice cover. MODIS albedo data and the Great Lakes ice cover fraction dataset over the Laurentian Great Lakes were used to calibrate and validate a new parameterization of the lake albedo accounting for a partial ice cover fraction. The results show large improvements in the simulation of the ice phenology of 200 lakes of various sizes reported in the Global Lake and River Phenology database. The agreement with the observations is improved for all lake size categories, with the largest and deepest lakes showing larger error reductions on the duration of the ice cover period. This study highlights the importance of considering partial ice cover to correctly model lake albedo in cold regions and thus to simulate realistic mass and energy exchanges at the land-atmosphere interface.

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Zacharie Titus, Amélie Cuynet, Elodie Salmon, and Catherine Ottlé

Status: open (until 21 Jan 2025)

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Zacharie Titus, Amélie Cuynet, Elodie Salmon, and Catherine Ottlé
Zacharie Titus, Amélie Cuynet, Elodie Salmon, and Catherine Ottlé

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Short summary
The representation of lake ice dynamics is key to model water-atmosphere energy and mass transfers in cold environments. The use of albedo satellite products to constrain the modeling of ice coverage appears very suitable and valuable. In this work, we show how the lake albedo and ice phenology were improved by accounting for a fractional ice cover and model calibration against lake surface albedo data.