scholarly journals Variation of snow mass in a regional climate model downscaling simulation covering the Tianshan Mountains, Central Asia

2021 ◽  
Author(s):  
Tao Yang ◽  
Qian Li ◽  
Xi Chen ◽  
Rafiq Hamdi ◽  
Philippe De Maeyer ◽  
...  
Keyword(s):  
Regional Climate Model ◽  
Central Asia ◽  
Climate Model ◽  
Regional Climate ◽  
Tianshan Mountains ◽  
Snow Mass

scholarly journals Variation of snow mass in a regional climate model simulation covering the Tianshan Mountains, Central Asia

2020 ◽  
Author(s):  
Tao Yang ◽  
Qian Li ◽  
Xi Chen ◽  
Rafiq Hamdi ◽  
Philippe De Maeyer ◽  
...  
Keyword(s):  
Regional Climate Model ◽  
Central Asia ◽  
Climate Model ◽  
Model Simulation ◽  
Regional Climate ◽  
Tianshan Mountains ◽  
Regional Climate Model Simulation ◽  
Climate Model Simulation ◽  
Snow Mass

Improving snow simulation with more realistic vegetation parameters in a regional climate model in the Tianshan Mountains, Central Asia

2020 ◽  
Vol 590 ◽  
pp. 125525
Author(s):  
Tao Yang ◽  
Qian Li ◽  
Xi Chen ◽  
Rafiq Hamdi ◽  
Philippe De Maeyer ◽  
...  
Keyword(s):  
Regional Climate Model ◽  
Central Asia ◽  
Climate Model ◽  
Regional Climate ◽  
Tianshan Mountains ◽  
Vegetation Parameters

scholarly journals Comparison of Cenozoic surface uplift and glacial-interglacial cycles on Himalaya-Tibet paleo-climate: Insights from a regional climate model

2017 ◽  
Author(s):  
Heiko Paeth ◽  
Christian Steger ◽  
Jingmin Li ◽  
Sebastian G. Mutz ◽  
Todd A. Ehlers
Keyword(s):  
Tibetan Plateau ◽  
Regional Climate Model ◽  
Central Asia ◽  
Last Glacial Maximum ◽  
Climate Model ◽  
Regional Climate ◽  
The Tibetan Plateau ◽  
Climate Anomalies ◽  
The Last Glacial Maximum ◽  
The Last Glacial

Abstract. Assessing paleo-climatic changes across the Tibetan Plateau and the underlying driving mechanisms provides insights for the natural variability in the Earth's climate system in response to tectonic processes and global climate change. In this study, we use a high-resolution regional climate model to investigate various episodes of distinct climate states over the Tibetan Plateau region during the Cenozoic rise of the Plateau and Quaternary glacial/interglacial cycles. The main objective is to compare climate changes during the Miocene-Pliocene uplift period with climate anomalies during the last glacial maximum and the mid-Holocene optimum, based on a consistent modeling framework. Reduced plateau elevation leads to regionally differentiated patterns of higher temperature and lower precipitation amount on the plateau itself, whereas surrounding regions are subject to colder conditions. In particular, Central Asia receives much more precipitation prior to the uplift, mainly due to a shift of the stationary wave train over Eurasia. Cluster analysis indicates that the continental-desert type climate, which is widespread over Central Asia today, appears with the Tibetan Plateau reaching 50 % of its present-day elevation. The mid-Holocene is characterized by slightly colder temperatures, and the last glacial maximum by considerably colder conditions over most of central and southern Asia. Precipitation anomalies during these episodes are less pronounced and spatially heterogeneous over the Tibetan Plateau. The simulated changes are in good agreement with available paleo-climatic reconstructions from proxy data. The present-day climate classification is only slightly sensitive to the changed boundary conditions in the Quaternary Quaternary. It is shown that in some regions of the Tibetan Plateau the climate anomalies during the Quaternary Quaternary have been as strong as the changes occurring during the uplift period.

scholarly journals Sensitivity studies with the Regional Climate Model COSMO-CLM 5.0 over the CORDEX Central Asia Domain

2019 ◽  
Author(s):  
Emmanuele Russo ◽  
Ingo Kirchner ◽  
Stephan Pfahl ◽  
Martijn Schaap ◽  
Ulrich Cubasch
Keyword(s):  
Regional Climate Model ◽  
Central Asia ◽  
Climate Models ◽  
Climate Model ◽  
Reference Model ◽  
Developing Economies ◽  
Regional Climate ◽  
Model Performance ◽  
Mitigation Strategies ◽  
Climate Projections

Abstract. Due to its extension, geography and the presence of several under-developed 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 present-days, testing the effects of a set of singular physical parameterizations and their mutual interaction on the simulation of monthly and seasonal values of three variables that are important for impact studies: 2-meter 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 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 results for the mean climate appear to be independent of the observational dataset used for evaluation and of the 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.

scholarly journals Supplementary material to "Exploring the Parameters Space of the Regional Climate Model COSMO-CLM 5.0 for the CORDEX Central Asia Domain"

2020 ◽  
Author(s):  
Emmanuele Russo ◽  
Silje Lund Sørland ◽  
Ingo Kirchner ◽  
Martijn Schaap ◽  
Christoph C. Raible ◽  
...  
Keyword(s):  
Regional Climate Model ◽  
Central Asia ◽  
Climate Model ◽  
Regional Climate ◽  
Supplementary Material
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