Inland lake temperature initialization via cycling with atmospheric data assimilation | CU Experts

<p>Application of lake models coupled within earth-system prediction models, especially for short-term predictions from days to weeks, requires accurate initialization of lake temperatures.&#160;&#160; Here, we describe a lake initialization method by cycling within an hourly updated weather prediction model to constrain lake temperature evolution.&#160;&#160; We compare these simulated lake temperature values with other estimates from satellite and in situ and interpolated-SST data sets for a multi-month period in 2021.&#160;&#160; The lake cycling initialization, now applied to two operational US NOAA weather models, was found to decrease errors in lake temperature from as much as 5-10K (using interpolated-SST data) to about 1-2 K (comparing with available in situ and satellite observations.&#160;</p>

VIVO