Derived-ECVs for Case Studies (yearly timeseries)

Yearly timeseries (.csv) of basic-ecvs spatially averaged over Case Studies for different climate scenarios (historical, SSP1-2.6, SSP2-4.5, SSP5-8.5) and time horizons (1985-2014, 2015-2100). Data are created by RethinkAction project using statistical downscaling method from CMIP6 simulations. We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. Moreover, we acknowledge the Copernicus Climate Change Service (C3S) Climate Data Store (CDS) to provide access to CMIP6, CERRA, ERA5 and ERA5-Land data: Copernicus Climate Change Service, Climate Data Store, (2021): CMIP6 climate projections. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.c866074c. Schimanke S., Ridal M., Le Moigne P., Berggren L., Undén P., Randriamampianina R., Andrea U., Bazile E., Bertelsen A., Brousseau P., Dahlgren P., Edvinsson L., El Said A., Glinton M., Hopsch S., Isaksson L., Mladek R., Olsson E., Verrelle A., Wang Z.Q., (2021): CERRA sub-daily regional reanalysis data for Europe on single levels from 1984 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.622a565a Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D.,Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.adbb2d47 Muñoz Sabater, J. (2019): ERA5-Land hourly data from 1950 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.e2161bac Acknowledgement also to: DRAAC, 2023, Regional climate data provided by the Regional Ditectorate for the Environment and Climate Change of the Regional Autonomous Government of Azores (https://portal.azores.gov.pt/en/web/draac) SRAA\CCIAM, 2017. Programa Regional de Alterações Climáticas (PRAC), Secretaria Regional do Ambiente e Ação Climática (SRAA) of the Governo dos Açores, Climate Change Impacts, Adaptation and Modelling (CCIAM) of the Faculdade de Ciências da Universidade de Lisboa (FCUL), https://snig.dgterritorio.gov.pt/rndg/srv/por/catalog.search#/metadata/8804acd9-9d0f-40fb-bc2e-e4dff8c2b4b1本数据集为针对不同气候情景（历史情景、共享社会经济路径1-2.6（SSP1-2.6）、共享社会经济路径2-4.5（SSP2-4.5）、共享社会经济路径5-8.5（SSP5-8.5））与时间跨度（1985-2014年、2015-2100年），在各案例研究区域上完成空间平均的基础必要气候变量（basic-ecvs）年度时间序列数据（.csv格式）。该数据集由RethinkAction项目基于耦合模式比较计划第六阶段（Coupled Model Intercomparison Project Phase 6, CMIP6）的模拟结果，通过统计降尺度方法构建。 本研究感谢世界气候研究计划（World Climate Research Programme, WCRP）通过其耦合模式工作组协调并推动了CMIP6的开展；感谢各气候模式组生成并公开其模式输出数据，感谢地球系统网格联盟（Earth System Grid Federation, ESGF）对数据进行归档并提供访问渠道，同时感谢支持CMIP6与ESGF的各类资助机构。 此外，本研究感谢哥白尼气候变化服务局（Copernicus Climate Change Service, C3S）旗下的气候数据存储库（Climate Data Store, CDS）提供CMIP6、CERRA、ERA5及ERA5-Land数据的访问权限： 1. 哥白尼气候变化服务局，气候数据存储库，(2021)：CMIP6气候预测数据。哥白尼气候变化服务局（C3S）气候数据存储库（CDS）。DOI: 10.24381/cds.c866074c. 2. Schimanke S.、Ridal M.、Le Moigne P.、Berggren L.、Undén P.、Randriamampianina R.、Andrea U.、Bazile E.、Bertelsen A.、Brousseau P.、Dahlgren P.、Edvinsson L.、El Said A.、Glinton M.、Hopsch S.、Isaksson L.、Mladek R.、Olsson E.、Verrelle A.、Wang Z.Q.，(2021)：1984年至今欧洲单水平面上的CERRA亚日尺度区域再分析数据。哥白尼气候变化服务局（C3S）气候数据存储库（CDS），DOI: 10.24381/cds.622a565a. 3. Hersbach H.、Bell B.、Berrisford P.、Biavati G.、Horányi A.、Muñoz Sabater J.、Nicolas J.、Peubey C.、Radu R.、Rozum I.、Schepers D.、Simmons A.、Soci C.、Dee D.、Thépaut J-N.，(2023)：1940年至今单水平面上的ERA5逐小时数据。哥白尼气候变化服务局（C3S）气候数据存储库（CDS），DOI: 10.24381/cds.adbb2d47. 4. Muñoz Sabater J.，(2019)：1950年至今的ERA5-Land逐小时数据。哥白尼气候变化服务局（C3S）气候数据存储库（CDS），DOI: 10.24381/cds.e2161bac. 同时致谢： 1. DRAAC，2023年：亚速尔群岛区域自治政府环境与气候变化区域局提供的区域气候数据，来源：https://portal.azores.gov.pt/en/web/draac. 2. SRAA\CCIAM，2017年：亚速尔群岛政府环境与气候行动区域秘书处（SRAA）的区域气候变化计划（PRAC）、里斯本大学理学院气候变化影响、适应与建模团队（CCIAM）的相关成果，来源：https://snig.dgterritorio.gov.pt/rndg/srv/por/catalog.search#/metadata/8804acd9-9d0f-40fb-bc2e-e4dff8c2b4b1.