Articles | Volume 15, issue 17
https://doi.org/10.5194/gmd-15-6659-2022
https://doi.org/10.5194/gmd-15-6659-2022
Model experiment description paper
 | 
05 Sep 2022
Model experiment description paper |  | 05 Sep 2022

Inland lake temperature initialization via coupled cycling with atmospheric data assimilation

Stanley G. Benjamin, Tatiana G. Smirnova, Eric P. James, Eric J. Anderson, Ayumi Fujisaki-Manome, John G. W. Kelley, Greg E. Mann, Andrew D. Gronewold, Philip Chu, and Sean G. T. Kelley

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Cited articles

Anderson, E. J., Fujisaki-Manome, A., Kessler, J., Lang, G. A., Chu, P. Y., Kelley, J. G. W., Chen, Y., and Wang, J.: Ice forecasting in the next-generation Great Lakes Operational Forecast System (GLOFS), J. Mar. Sci. Eng., 6, 123, https://doi.org/10.3390/jmse6040123, 2018. 
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Balsamo, G., Salgado, R., Dutra, E., Boussetta, S., Stockdale, T., and Potes, M.: On the contribution of lakes in predicting near-surface temperature in a global weather forecasting model, Tellus A, 64, 1, https://doi.org/10.3402/tellusa.v64i0.15829, 2012. 
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Short summary
Application of 1-D lake models coupled within earth-system prediction models will improve accuracy but requires accurate initialization of lake temperatures. Here, we describe a lake initialization method by cycling within a weather prediction model to constrain lake temperature evolution. We compared these lake temperature values with other estimates and found much reduced errors (down to 1-2 K). The lake cycling initialization is now applied to two operational US NOAA weather models.
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