 |
| Titel |
TopoSUB: a tool for efficient large area numerical modelling in complex topography at sub-grid scales |
| VerfasserIn |
J. Fiddes, S. Gruber |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1991-959X
|
| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 5, no. 5 ; Nr. 5, no. 5 (2012-10-10), S.1245-1257 |
| Datensatznummer |
250002851
|
| Publikation (Nr.) |
 copernicus.org/gmd-5-1245-2012.pdf |
|
|
|
|
|
| Zusammenfassung |
| Mountain regions are highly sensitive to global climate change. However,
large scale assessments of mountain environments remain problematic due to
the high resolution required of model grids to capture strong lateral
variability. To alleviate this, tools are required to bridge the scale gap
between gridded climate datasets (climate models and re-analyses) and
mountain topography. We address this problem with a sub-grid method. It
relies on sampling the most important aspects of land surface heterogeneity
through a lumped scheme, allowing for the application of numerical land
surface models (LSMs) over large areas in mountain regions or other
heterogeneous environments. This is achieved by including the effect of
mountain topography on these processes at the sub-grid scale using a
multidimensional informed sampling procedure together with a 1-D lumped model
that can be driven by gridded climate datasets. This paper provides a
description of this sub-grid scheme, TopoSUB, and assesses its performance
against a distributed model. We demonstrate the ability of TopoSUB to
approximate results simulated by a distributed numerical LSM at around 104
less computations. These significant gains in computing resources allow for:
(1) numerical modelling of processes at fine grid resolutions over large
areas; (2) efficient statistical descriptions of sub-grid behaviour; (3) a
"sub-grid aware" aggregation of simulated variables to coarse grids; and
(4) freeing of resources for computationally intensive tasks, e.g., the
treatment of uncertainty in the modelling process. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|