格鲁吉亚陆地降水多模式预报的评价

Q4 Economics, Econometrics and Finance International Journal of Energy, Environment and Economics Pub Date : 2021-07-14 DOI:10.46300/91012.2021.15.10
T. Davitashvili, N. Kutaladze, R. Kvatadze, L. Megrelidze, G. Mikuchadze, I. Samkharadze
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引用次数: 0

摘要

本研究评估了几种区域气候模式(RCMs)模拟南高加索地区降雨模式的能力。利用CRU观测数据库对8个不同区域的RCM模拟进行了评估,其中2个模拟来自协调区域气候降尺度试验(CORDEX)。利用若干观测数据集估算了8个均匀次区域的季节气候学、年降雨周期和RCM输出的年际变率。在感兴趣的区域上,分析了从每月和季节性到年度时间尺度的不同度量。结果证实了气候模式在捕捉南高加索地区气候条件的局部特征方面的独特能力。与此同时,各个模型在不同的分区域和季节之间存在显著的偏差;然而,总体平均值比单个模型更符合观测值。总体而言,本文的分析表明,多模式集合平均值充分模拟了南高加索地区的降雨,因此,它可以用来评估该地区未来的气候预测。这项工作促进了在南高加索地区选择具有合理性能的RCM运行,从而首次可以为未来的风险评估和影响研究生成高分辨率偏差调整气候数据库。
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Evaluation of Multi-Model Hindcasts of Overland Precipitation for Georgia
This study evaluates the ability of several Regional Climate Models (RCMs) to simulate rainfall patterns in the South Caucasus region. In total, 8 RCM simulations were assessed against the CRU observational database over different domains, among them two from the Coordinated Regional Climate Downscaling Experiment (CORDEX). Seasonal climatology, annual rainfall cycles and interannual variability in RCM outputs were estimated for 8 homogeneous sub-regions against several observational datasets. Different metrics covering from monthly and seasonal to annual time scales are analyzed over the region of interest. The results confirm the distinct capabilities of climate models in capturing the local features of the climatic conditions of the South Caucasus region. At the same time, the analysis shows significant deviations in individual models depending on the sub-region and season; however, the ensemble mean is in better agreement with observations than individual models. Overall, the analysis presented here demonstrates that, the multi-model ensemble mean adequately simulates rainfall in the South Caucasus and, therefore, it can be used to assess future climate predictions for the region. This work promotes the selection of RCM runs with reasonable performance in the South Caucasus region, from which, for the first time, a high-resolution bias-adjusted climate database can be generated for future risk assessment and impact studies.
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来源期刊
International Journal of Energy, Environment and Economics
International Journal of Energy, Environment and Economics Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.10
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0.00%
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0
期刊介绍: International Journal of Energy, Environment, and Economics publishes original research papers that shed light on the interaction between the utilization of energy and the environment, as well as the economic aspects involved with this utilization. The Journal is a vehicle for an international exchange and dissemination of ideas in the multidisciplinary field of energy-environment-economics between research scientists, engineers, economists, policy makers, and others concerned about these issues. The emphasis will be placed on original work, either in the area of scientific or engineering development, or in the area of technological, environmental, economic, or social feasibility. Shorter communications are also invited. The Journal will carry reviews on important issues, which may be invited by the Editors or submitted in the normal way.
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