TVRegCM Numerical Simulations - Preliminary Results

Gadzhev, Georgi; Ivanov, Vladimir; Ganev, Kostadin; Chervenkov, Hristo

doi:10.1007/978-3-319-73441-5_28

Cited by 6 publications

(4 citation statements)

References 5 publications

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“…Although, the Kain-Fritsch cumulus convective scheme with SUBEX moisture scheme and Holstag boundary layer parameterization scheme is also a good case. These results confirm our previous ones [46,47] that the results for temperature are more spatially homogeneous and the correlation for the temperature field is higher than the one for precipitation. The bigger, in comparison with the temperature, spread of the results on the Taylor diagram for the precipitation demonstrates the bigger sensitivity of this output variable from the parameterization selection and combination from different schemes.…”

Section: Conclusion Related To Aciqlifesupporting

confidence: 82%

“…Our previous results [46,47] indicate that the biases are bigger in summer. Thus, we will use another approach to assess the model performance in that season, called Taylor diagram [48].…”

Section: Conclusion Related To Aciqlifementioning

confidence: 99%

“…Thus, the climatological quantities are calculated after every successive model run with the CDO operators [45]. The detailed results from the validation are presented in [46]. Only the most relevant conclusion will be listed briefly here.…”

Section: Conclusion Related To Aciqlifementioning

confidence: 99%

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Climate Applications in a Virtual Research Environment Platform

Gadzhev

Georgieva

Ganev

et al. 2018

SCPE

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Abstract. Previous atmospheric composition studies were based on extensive computer simulations carried out with good resolution using up-to-date modelling tools and detailed and reliable input data.The oncoming climate changes will exert influence on the ecosystems, on the all branches of the international economy, and on the quality of life. Regional climate models (RCMs) are important instruments used for downscaling climate simulations from Global circulation models (GCMs).The air quality (AQ) impact on human health and quality of life is an issue of great social significance. Evaluating this impact will give scientifically robust basis for elaborating efficient short term measures and long term strategies for mitigation of the harmful effects of air pollution. The AQ impact is evaluated in the terms of Air Quality Indices (AQI). Some extensive numerical simulations of the atmospheric composition fields in Bulgaria and Sofia have been recently performed. A quite extensive data base was created from simulations which were used for different studies of the atmospheric composition, including the AQ climate.Main aims of the numerical experiment presented in this paper are: (1) Adaptation and tuning of the RegCM model for the Balkan Peninsula and Bulgaria and thus development of a methodology able to predict possible changes of the regional climate for different global climate change scenarios and their impact on spatial/temporal distribution of precipitation, hence the global water budgets, to changes of the characteristics and spatial/temporal distribution of extreme, unfavorable and catastrophic events (drought, storms, hail, floods, fires, sea waves, soil erosion, etc.). (2) Development of a methodology and performing reliable, comprehensive and detailed studies of the impact of lower atmosphere parameters and characteristics on the quality of life (QL) and health risks (HR) for the population.Key words: Virtual Research Environment, Regional climate models, RegCM, Air Quality Indices AMS subject classifications. 86A10, 65Y051. Introduction. The climate modelling community has very strong computational needs. In particular, the integration of various computational resources such as High-performance computing (HPC) and Grid jointly with data infrastructure. VI-SEEM is a project that aims at creating a unique Virtual Research Environment (VRE) in Southeast Europe and the Eastern Mediterranean (SEEM), in order to facilitate regional interdisciplinary collaboration, with special focus on the scientific communities of Life Sciences, Climatology and Digital Cultural Heritage. In the frame of the VI-SEEM project, the existing e-Infrastructures are being unify into an integrated platform to better utilize synergies, for an improved service provision within a unified Virtual Research Environment to be provided to scientific communities of high impact in the combined South East Europe and Eastern Mediterranean region. Perhaps the largest focus is on regional climate modelling and weather forecasting, where local weathe...

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Section: Conclusion Related To Aciqlifesupporting

confidence: 82%

“…Our previous results [46,47] indicate that the biases are bigger in summer. Thus, we will use another approach to assess the model performance in that season, called Taylor diagram [48].…”

Section: Conclusion Related To Aciqlifementioning

confidence: 99%

See 1 more Smart Citation

Climate Applications in a Virtual Research Environment Platform

Gadzhev

Georgieva

Ganev

et al. 2018

SCPE

Self Cite

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“…Existing research shows that these physical processes cannot be accurately simulated over the entire Earth. Choosing an appropriate convective parameterization scheme (CPS) in RCMs is critical for region simulations [16][17][18], as it allows to simulate the region in a more refined way. At the same time, the annual and seasonal climate simulations are also very important for determining short-term adaptation measures [19,20].…”

Section: Introductionmentioning

confidence: 99%

Performance of RegCM4.5 in Simulating the Regional Climate of Western Tianshan Mountains in Xinjiang, China

Cheng

Fan

2021

Atmosphere

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The western Tianshan Mountains region in China has a complex topography where basins, mountains and glaciers co-exist. It is of great significance to study the sensitivity of meteorological factors in this region to different parameterization schemes of climate models. In this paper, the regional climate model RegCM4.5 is used to simulate the meteorological factor (mean temperature, maximum temperature, minimum temperature, precipitation and wind speed) occurring in the western Tianshan Mountains region from 2012 to 2016, so as to investigate the effects of different cumulus convective schemes (Grell, Tiedtke and Emanuel), including land cumulus convective schemes (LCCs) and ocean convective schemes (OCCs) on annual and seasonal simulations of meteorological factor by using the schemes of RUN1 (Grell for LCC and Tiedtke for OCC), RUN2 (Tiedtke for LCC and Emanuel for OCC), RUN3 (Grell for LCC and Emanuel for OCC) and ENS (the ensemble of RUN1, RUN2 and RUN3). The results show that the simulations of annual and seasonal meteorological factors are not significantly sensitive to the combination of LCCs and OCCs. In the annual simulations, RUN2 scheme has the best simulation performance for the maximum, average and minimum temperatures. However, other schemes of precipitation simulation outperform RUN2 scheme, and there is no difference among the four schemes for wind speed simulation. In the seasonal simulations, RUN2 scheme still performs well in the simulation of the average, maximum and minimum temperatures for four seasons, except for the simulation of the average temperature in spring and summer. For the simulation of the maximum temperature in summer, RUN2 scheme performs the same as ENS. For the simulation of other seasons, different meteorological factors have different performances in four seasons. Overall, the results show that different combinations of cumulus convection schemes can improve the simulation performance of meteorological factors in the western Tianshan Mountains of Xinjiang.

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