Articles | Volume 8, issue 4
Geosci. Model Dev., 8, 1085–1096, 2015
Geosci. Model Dev., 8, 1085–1096, 2015

Development and technical paper 21 Apr 2015

Development and technical paper | 21 Apr 2015

Technical challenges and solutions in representing lakes when using WRF in downscaling applications

M. S. Mallard et al.

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Cited articles

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Short summary
Because global climate models (GCMs) are typically run at coarse spatial resolution, lakes are often poorly resolved in their global fields. When downscaling such GCMs using the Weather Research & Forecasting (WRF) model, use of WRF’s default interpolation methods can result in unrealistic lake temperatures and ice cover, which can impact simulated air temperatures and precipitation. Here, alternative methods for setting lake variables in WRF downscaling applications are presented and compared.