Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Volume 8, issue 4
Geosci. Model Dev., 8, 1085-1096, 2015
https://doi.org/10.5194/gmd-8-1085-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 8, 1085-1096, 2015
https://doi.org/10.5194/gmd-8-1085-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

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. Mallard1,*, C. G. Nolte1, T. L. Spero1, O. R. Bullock1, K. Alapaty1, J. A. Herwehe1, J. Gula2, and J. H. Bowden3 M. S. Mallard et al.
  • 1National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
  • 2Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, USA
  • 3Institute for the Environment, University of North Carolina, Chapel Hill, NC, USA
  • *present affiliation: Institute for the Environment, University of North Carolina, Chapel Hill, NC, USA

Abstract. The Weather Research and Forecasting (WRF) model is commonly used to make high-resolution future projections of regional climate by downscaling global climate model (GCM) outputs. Because the GCM fields are typically at a much coarser spatial resolution than the target regional downscaled fields, lakes are often poorly resolved in the driving global fields, if they are resolved at all. In such an application, using WRF's default interpolation methods can result in unrealistic lake temperatures and ice cover at inland water points. Prior studies have shown that lake temperatures and ice cover impact the simulation of other surface variables, such as air temperatures and precipitation, two fields that are often used in regional climate applications to understand the impacts of climate change on human health and the environment. Here, alternative methods for setting lake surface variables in WRF for downscaling simulations are presented and contrasted.

Publications Copernicus
Download
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.
Because global climate models (GCMs) are typically run at coarse spatial resolution, lakes are...
Citation
Share