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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2017-725
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
10 Jan 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Hydrology and Earth System Sciences (HESS).
Evaluating and improving modeled turbulent heat fluxes across the North American Great Lakes
Umarporn Charusombat1, Ayumi Fujisaki-Manome2,3, Andrew D. Gronewold1, Brent M. Lofgren1, Eric J. Anderson1, Peter D. Blanken4, Christopher Spence5, John D. Lenters6, Chuliang Xiao2, Lindsay E. Fitzpatrick2, and Gregory Cutrell7 1NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, Michigan, 48108 USA
2University of Michigan, Cooperative Institute for Great Lakes Research, Ann Arbor, Michigan, 48108, USA
3University of Michigan, Climate & Space Sciences and Engineering Department, Ann Arbor, Michigan, 48109, USA
4University of Colorado, Department of Geography, Boulder, Colorado, 80309, USA
5Environment and Climate Change Canada, Saskatoon, Saskatchewan, S7N 5C5, Canada
6University of Wisconsin-Madison, Center for Limnology, Boulder Junction, Wisconsin, 54512, USA
7LimnoTech, Ann Arbor, Michigan, 48108
Abstract. Turbulent fluxes of latent and sensible heat are important physical processes that influence the energy and water budgets of the North American Great Lakes. Validation and improvement of bulk flux algorithms to simulate these turbulent heat fluxes are critical for accurate prediction of lake hydrodynamics, water levels, weather, and climate over the region. Here we consider five heat flux algorithms from three parent model systems; the Finite-Volume Community Ocean Model (FVCOM, with three different options for heat flux algorithm), the Weather Research and Forecasting (WRF) model, and the Large Lake Thermodynamics Model, which are used in research and operational environments and concentrate on different aspects of the Great Lakes’ physical system. The heat flux algorithms were isolated from each model and driven by meteorological data from four over-lake stations within the Great Lakes Evaporation Network (GLEN). The simulation results were then compared with eddy covariance flux measurements from the same GLEN sites. All algorithms reasonably reproduced the seasonal cycle of the turbulent heat fluxes while the original algorithms except for the Coupled Ocean Atmosphere Response Experiment (COARE) algorithm showed notable overestimation of the fluxes in fall and winter. Overall, COARE had the best agreement with eddy covariance measurements. Simulations with the four algorithms other than COARE were improved by updating the parameterization of roughness length scales for air temperature and humidity to match those used in COARE. Agreement between modeled and observed fluxes notably varied according to the geographic locations of the GLEN sites.

Citation: Charusombat, U., Fujisaki-Manome, A., Gronewold, A. D., Lofgren, B. M., Anderson, E. J., Blanken, P. D., Spence, C., Lenters, J. D., Xiao, C., Fitzpatrick, L. E., and Cutrell, G.: Evaluating and improving modeled turbulent heat fluxes across the North American Great Lakes, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-725, in review, 2018.
Umarporn Charusombat et al.
Umarporn Charusombat et al.
Umarporn Charusombat et al.

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Short summary
The authors evaluated several algorithms of heat loss and evaporation simulation in comparison with direct measurements at four offshore flux towers in the North American Great Lakes. The algorithms reproduced the seasonal cycle of heat loss and evaporation reasonably, but some algorithms significantly overestimated them during fall-early winter. This was due to false assumption of roughness length scales for temperature and humidity and was improved by employing a correct assumption.
The authors evaluated several algorithms of heat loss and evaporation simulation in comparison...
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