 |
| Titel |
Technical challenges and solutions in representing lakes when using WRF in downscaling applications |
| VerfasserIn |
M. S. Mallard, C. G. Nolte, T. L. Spero, O. R. Bullock, K. Alapaty, J. A. Herwehe, J. Gula, J. H. Bowden |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1991-959X
|
| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 4 ; Nr. 8, no. 4 (2015-04-21), S.1085-1096 |
| Datensatznummer |
250116279
|
| Publikation (Nr.) |
 copernicus.org/gmd-8-1085-2015.pdf |
|
|
|
|
|
| Zusammenfassung |
| 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. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|