dc.contributor.author
Russo, Emmanuele
dc.contributor.author
Kirchner, Ingo
dc.contributor.author
Pfahl, Stephan
dc.contributor.author
Schaap, Martijn
dc.contributor.author
Cubasch, Ulrich
dc.date.accessioned
2020-01-06T08:50:12Z
dc.date.available
2020-01-06T08:50:12Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/26317
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-26076
dc.description.abstract
Due to its extension, geography and the presence of several underdeveloped or developing economies, the Central Asia domain of the Coordinated Regional Climate Downscaling Experiment (CORDEX) is one of the most vulnerable regions on Earth to the effects of climate changes. Reliable information on potential future changes with high spatial resolution acquire significant importance for the development of effective adaptation and mitigation strategies for the region. In this context, regional climate models (RCMs) play a fundamental role.
In this paper, the results of a set of sensitivity experiments with the regional climate model COSMO-CLM version 5.0, for the Central Asia CORDEX domain, are presented. Starting from a reference model setup, general model performance is evaluated for the present day, testing the effects of singular changes in the model physical configuration and their mutual interaction with the simulation of monthly and seasonal values of three variables that are important for impact studies: near-surface temperature, precipitation and diurnal temperature range. The final goal of this study is two-fold: having a general overview of model performance and its uncertainties for the considered region and determining at the same time an optimal model configuration.
Results show that the model presents remarkable deficiencies over different areas of the domain. The combined change of the albedo, taking into consideration the ratio of forest fractions, and the soil conductivity, taking into account the ratio of liquid water and ice in the soil, allows one to achieve the best improvements in model performance in terms of climatological means. Importantly, the model seems to be particularly sensitive to those parameterizations that deal with soil and surface features, and that could positively affect the repartition of incoming radiation. The analyses also show that improvements in model performance are not achievable for all domain subregions and variables, and they are the result of a compensation effect in the different cases. The proposed better performing configuration in terms of mean climate leads to similar positive improvements when considering different observational data sets and boundary data employed to force the simulations. On the other hand, due to the large uncertainties in the variability estimates from observations, the use of different boundaries and the model internal variability, it has not been possible to rank the different simulations according to their representation of the monthly variability.
This work is the first ever sensitivity study of an RCM for the CORDEX Central Asia domain and its results are of fundamental importance for further model development and for future climate projections over the area.
en
dc.format.extent
21 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
COSMO-CLM 5.0
en
dc.subject
Central Asia
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::551 Geologie, Hydrologie, Meteorologie
dc.title
Sensitivity studies with the regional climate model COSMO-CLM 5.0 over the CORDEX Central Asia Domain
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.5194/gmd-12-5229-2019
dcterms.bibliographicCitation.journaltitle
Geoscientific model development
dcterms.bibliographicCitation.number
12
dcterms.bibliographicCitation.pagestart
5229
dcterms.bibliographicCitation.pageend
5249
dcterms.bibliographicCitation.volume
12
dcterms.bibliographicCitation.url
https://doi.org/10.5194/gmd-12-5229-2019
refubium.affiliation
Geowissenschaften
refubium.affiliation.other
Institut für Meteorologie
refubium.note.author
Die Publikation wurde aus Open Access Publikationsgeldern der Freien Universität Berlin und der DFG gefördert.
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.issn
1991-959X
dcterms.isPartOf.eissn
1991-9603