Abstract
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 subgrid-scale processes. In order to assess a model's 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 performance is domain dependent. In this study, the parameter space of the Consortium for Small-scale Modeling CLimate Mode (COSMO-CLM) RCM is investigated for the Central Asia Coordinated Regional Climate Downscaling Experiment (CORDEX) domain, using a perturbed physics ensemble (PPE)
obtained by performing 1-year 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 subregions characterized by different climate conditions, assessing by which degree it is
possible to improve model performance 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 subset of model parameters present relevant changes in model performance for different parameter values. Importantly, for
almost all parameter inputs, the model shows an opposite behaviour 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 parameter perturbation for Central Asia is
different than the one observed for Europe, suggesting that an RCM should be retuned, and its parameter uncertainty properly investigated, when
setting up model experiments for different domains of study.
Funder
Bundesministerium für Bildung und Forschung
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