 |
| Titel |
Downscaling and evaluation – a multi-scale observational challenge |
| VerfasserIn |
B. Ahrens, A. Dobler |
| Konferenz |
EGU General Assembly 2009
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250020258
|
|
|
|
|
|
| Zusammenfassung |
| Climate projections with global circulation models—because of their coarse-grid
resolution—do not allow regional examinations of the water balance or local estimation of
extreme precipitation trends. Therefore, downscaling of the global simulations to the
regional scale is necessary. Downscaling combines global-scale information from
projections with regional/local-scale information from historical observations and
from “constant” processes like orography and land-cover. For the training of the
downscaling methods this information is necessary to be available for long time periods in
high temporal resolution at the global, regional, and local scales. Additionally,
empirical/statistical and dynamical/determinstic downscaling models need global-input,
observational, and time-invariant information for evaluation. Both tasks, the training and the
evaluation, are multi-scale challenges. This paper discusses the usability of a cascade of
models/methods in the projection of precipitation extremes, the complex cross-scale
interactions, and the superimposed restrictions by availability of observational data. |
|
|
|
|
|
|