Articles | Volume 8, issue 4
https://doi.org/10.5194/gmd-8-1085-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-1085-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
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. Mallard
CORRESPONDING AUTHOR
National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
present affiliation: Institute for the Environment, University of North Carolina, Chapel Hill, NC, USA
C. G. Nolte
National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
T. L. Spero
National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
O. R. Bullock
National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
K. Alapaty
National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
J. A. Herwehe
National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, USA
J. H. Bowden
Institute for the Environment, University of North Carolina, Chapel Hill, NC, USA
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- Improvement and Evaluation of the Latest Version of WRF-Lake at a Deep Riverine Reservoir S. Guo et al. 10.1007/s00376-022-2180-5
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- Impacts of Lake Surface Temperature on the Summer Climate Over the Great Lakes Region J. Wang et al. 10.1029/2021JD036231
- Spatial Variability of Wet Troposphere Delays Over Inland Water Bodies A. Mehran et al. 10.1002/2017JD026525
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- The Impact of Incongruous Lake Temperatures on Regional Climate Extremes Downscaled from the CMIP5 Archive Using the WRF Model T. Spero et al. 10.1175/JCLI-D-15-0233.1
- Dynamical Downscaling–Based Projections of Great Lakes Water Levels*+ M. Notaro et al. 10.1175/JCLI-D-14-00847.1
- Summer Lake Destratification Phenomenon: A Peculiar Deep Lake on the Tibetan Plateau R. Su et al. 10.3389/feart.2022.839151
- Review on the Change Trend, Attribution Analysis, Retrieval, Simulation, and Prediction of Lake Surface Water Temperature T. Jia et al. 10.1109/JSTARS.2022.3188788
- Long-lasting floods buffer the thermal regime of the Pampas J. Houspanossian et al. 10.1007/s00704-016-1959-7
- Evaluation of the WRF-Lake Model over Two Major Freshwater Lakes in China Y. Ma et al. 10.1007/s13351-019-8070-9
- Twenty-First-Century Snowfall and Snowpack Changes over the Southern California Mountains F. Sun et al. 10.1175/JCLI-D-15-0199.1
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- The Need for an Integrated Land‐Lake‐Atmosphere Modeling System, Exemplified by North America's Great Lakes Region A. Sharma et al. 10.1029/2018EF000870
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Latest update: 17 Apr 2024
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...
