Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.240
IF5.240
IF 5-year value: 5.768
IF 5-year
5.768
CiteScore value: 8.9
CiteScore
8.9
SNIP value: 1.713
SNIP1.713
IPP value: 5.53
IPP5.53
SJR value: 3.18
SJR3.18
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 51
h5-index51
Preprints
https://doi.org/10.5194/gmd-2020-196
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2020-196
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  06 Jul 2020

06 Jul 2020

Review status
This preprint is currently under review for the journal GMD.

Exploring the Parameters Space of the Regional Climate Model COSMO-CLM 5.0 for the CORDEX Central Asia Domain

Emmanuele Russo1,2,3, Silje Lund Sørland4, Ingo Kirchner1, Martijn Schaap5, Christoph C. Raible2,3, and Ulrich Cubasch1 Emmanuele Russo et al.
  • 1Institute for Meteorology, Freie Universität Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165, Berlin, Germany
  • 2Climate and Environmental Physics, Physics Institute, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland
  • 3Oeschger Centre for Climate Change Research, University of Bern, Hochschulstrasse 4, 3012, Bern, Switzerland
  • 4Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, 8092 Zurich, Switzerland
  • 5TNO Built Environment and Geosciences, Department of Air Quality and Climate, Princetonlaan 6, 3584, CB, Utrecht, The Netherlands

Abstract. The parameter uncertainty of a climate model represents the spectrum of the results obtained by perturbing its empirical and unconfined parameters used to represent sub-grid scale processes. In order to assess a model reliability and to better understand its limitations and sensitivity to different physical processes, the spread of model parameters needs to be carefully investigated. This is particularly true for Regional Climate Models (RCMs), whose performances are domain-dependent.

In this study, the parameter space of the RCM COSMO-CLM is investigated for the CORDEX Central Asia domain, using a Perturbed Physics Ensemble (PPE) obtained by performing 1-year long simulations with different parameter values. The main goal is to characterize the parameter uncertainty of the model, and to determine the most sensitive parameters for the region. Moreover, the presented experiments are used to study the effect of several parameters on the simulation of selected variables for sub-regions characterized by different climate conditions, assessing by which degree it is possible to improve model performances by properly selecting parameter inputs in each case. Finally, the paper explores the model parameter sensitivity over different domains, tackling the question of transferability of an RCM model setup to different regions of study.

Results show that only a sub-set of model parameters present relevant changes in model performances for different parameter values. Importantly, for almost all parameter inputs, the model shows an opposite behavior among different clusters and regions. This indicates that conducting a calibration of the model against observations to determine optimal parameter values for the Central Asia domain is particularly challenging: in this case, the use of objective calibration methods is highly necessary. Finally, the sensitivity of the model to parameters perturbation for Central Asia is different than the one observed for Europe, suggesting that an RCM should be re-tuned, and its parameter uncertainty properly investigated, when setting up model-experiments to different domains of study.

Emmanuele Russo et al.

Interactive discussion

Status: open (until 31 Aug 2020)
Status: open (until 31 Aug 2020)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Emmanuele Russo et al.

Data sets

CCLM outputs Parameters Sensitivity Investigation Central Asia and Europe E. Russo https://doi.org/10.5281/zenodo.3523243

Emmanuele Russo et al.

Viewed

Total article views: 172 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
83 61 28 172 15 26 24
  • HTML: 83
  • PDF: 61
  • XML: 28
  • Total: 172
  • Supplement: 15
  • BibTeX: 26
  • EndNote: 24
Views and downloads (calculated since 06 Jul 2020)
Cumulative views and downloads (calculated since 06 Jul 2020)

Viewed (geographical distribution)

Total article views: 129 (including HTML, PDF, and XML) Thereof 129 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 14 Aug 2020
Publications Copernicus
Download
Short summary
The parameter space of the RCM COSMO-CLM is investigated for the CORDEX Central Asia domain, using a Perturbed Physics Ensemble (PPE) with different parameter values. Results show that only a sub-set of model parameters present relevant changes in model performance and these changes depend on the considered region and variable: objective calibration methods are highly necessary in this case. Additionally, the results suggest the need of calibrating an RCM when targeting different domains.
The parameter space of the RCM COSMO-CLM is investigated for the CORDEX Central Asia domain,...
Citation