 |
| Titel |
The utility of daily large-scale climate data in the assessment of climate change impacts on daily streamflow in California |
| VerfasserIn |
E. P. Maurer, H. G. Hidalgo, T. Das, M. D. Dettinger, D. R. Cayan |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 14, no. 6 ; Nr. 14, no. 6 (2010-06-30), S.1125-1138 |
| Datensatznummer |
250012348
|
| Publikation (Nr.) |
 copernicus.org/hess-14-1125-2010.pdf |
|
|
|
|
|
| Zusammenfassung |
| Three statistical downscaling methods were applied to NCEP/NCAR reanalysis
(used as a surrogate for the best possible general circulation model), and
the downscaled meteorology was used to drive a hydrologic model over
California. The historic record was divided into an "observed" period of
1950–1976 to provide the basis for downscaling, and a "projected" period
of 1977–1999 for assessing skill. The downscaling methods included a
bias-correction/spatial downscaling method (BCSD), which relies solely on
monthly large scale meteorology and resamples the historical record to
obtain daily sequences, a constructed analogues approach (CA), which uses
daily large-scale anomalies, and a hybrid method (BCCA) using a
quantile-mapping bias correction on the large-scale data prior to the CA
approach. At 11 sites we compared three simulated daily flow statistics:
streamflow timing, 3-day peak flow, and 7-day low flow. While all
downscaling methods produced reasonable streamflow statistics at most
locations, the BCCA method consistently outperformed the other methods,
capturing the daily large-scale skill and translating it to simulated
streamflows that more skillfully reproduced observationally-driven
streamflows. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|