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

Data sets

NOAA High-Resolution Rapid Refresh (HRRR) Model National Oceanic and Atmospheric Administration https://registry.opendata.aws/noaa-hrrr-pds/

High Resolution Rapid Refresh Model (HRRR) National Oceanic and Atmospheric Administration https://console.cloud.google.com/marketplace/product/noaa-public/hrrr?project=python-232920&pli=1

Model code and software

Weather Research and Forecasting Model NCAR/UCAR https://doi.org/10.5065/D6MK6B4K

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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.