Climate data for Odesa, Ukraine in 2021–2050 based on EURO-CORDEX simulations

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Halyna Borovska, Valeriy Khokhlov
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Abstract

Climate change adaptation planning at the municipal level has become mandatory due to the increasing frequency of extreme weather and climate events. The availability of near-future climate data is the first step towards creating an adaptation plan for a city. We created the CP_OdU (Climate Projections for Odesa, Ukraine) dataset, which contains daily output variables from the 102 model runs and monthly (yearly) indices calculated for 2021–2050 in the closest to Odesa land-located model grid point. The future data are based on 26 and 76 simulations for the scenarios RCP4.5 and RCP8.5, respectively, of 14 RCMs from the EURO-CORDEX project. The horizontal resolution of spatial grids in the RCMs is ~0.11° or ~12 km. The CP_OdU dataset contains 76 indices relating to cloudiness, wind parameters, relative humidity, precipitation amount, snow depth and temperature. A very short description of the near-future climate in Odesa for the RCP8.5 scenario shows its trend towards a Mediterranean climate. The rising temperature supported by the change of intra-annual variations of precipitation will result in hot, dry summers and mild, moderately wet winters. The CP_OdU dataset can be used by climate scientists, applied science engineers and climate stakeholders in society for the creation of a climate change adaptation plan for Odesa, Ukraine.

Abstract Image

Abstract Image

基于EURO‐CORDEX模拟的乌克兰敖德萨2021-2050年气候数据
由于极端天气和气候事件日益频繁,市政层面的气候变化适应规划已成为一项强制性工作。获得近未来气候数据是制定城市适应计划的第一步。我们创建了 CP_OdU(乌克兰敖德萨气候预测)数据集,其中包含 102 个模型运行的每日输出变量,以及在最靠近敖德萨陆地位置的模型网格点计算的 2021-2050 年每月(每年)指数。未来数据是基于欧洲-CORDEX 项目的 14 个区域气候模拟模型分别针对 RCP4.5 和 RCP8.5 情景进行的 26 次和 76 次模拟。RCMs 中空间网格的水平分辨率为 ~0.11° 或 ~12 千米。CP_OdU 数据集包含与云量、风参数、相对湿度、降水量、积雪深度和温度有关的 76 个指数。在 RCP8.5 情景下,对敖德萨近未来气候的简短描述显示了其向地中海气候发展的趋势。在降水年际变化的支持下,气温上升将导致夏季炎热干燥,冬季温和湿润。气候科学家、应用科学工程师和社会中的气候利益相关者可利用 CP_OdU 数据集为乌克兰敖德萨制定气候变化适应计划。
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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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