Case Studies

Climate maps (raster layers .tif) of derived-ecvs with a spatial resolution of 5.5 km (1 km for Azores) obtained by statistically downscaling a set of CMIP6 simulations for different IPCC climate scenarios (historical, SSP1-2.6, SSP2-4.5, SSP5-8.5) and time horizons (reference, short time-horizon, medium time-horizon, long time-horizon). Data are representative of specific climate normals (yearly averaged values) and created by RethinkAction. 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本数据集包含衍生核心气候变量（derived-ECVs）的气候地图（.tif格式栅格图层），空间分辨率为5.5 km（亚速尔群岛区域为1 km）。该数据集通过对多组政府间气候变化专门委员会（IPCC）不同气候情景（历史情景、SSP1-2.6、SSP2-4.5、SSP5-8.5）及时间跨度（基准期、短时间跨度、中时间跨度、长时间跨度）下的耦合模式比较计划第六阶段（CMIP6）模拟结果进行统计降尺度得到，代表特定气候基准值（年平均值），由RethinkAction构建。 我们致谢世界气候研究计划（World Climate Research Programme），其通过耦合模式工作组协调并推广了CMIP6项目。同时感谢各气候模式研究团队生成并公开其模式输出成果，感谢地球系统网格联盟（ESGF）对数据进行归档并提供访问渠道，以及所有支持CMIP6与ESGF的多方资助机构。 此外，我们致谢哥白尼气候变化服务局（Copernicus Climate Change Service, C3S）气候数据存储库（Climate Data Store, CDS），其为CMIP6、CERRA、ERA5及ERA5-Land数据的获取提供了支持： 哥白尼气候变化服务局，气候数据存储库，(2021)：CMIP6气候预测。哥白尼气候变化服务局（C3S）气候数据存储库（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)：1984年至今欧洲单水平亚日尺度区域再分析数据CERRA。哥白尼气候变化服务局（C3S）气候数据存储库（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)：1940年至今欧洲单水平逐小时数据ERA5。哥白尼气候变化服务局（C3S）气候数据存储库（CDS），DOI: 10.24381/cds.adbb2d47 Muñoz Sabater J.，(2019)：1950年至今逐小时陆面数据ERA5-Land。哥白尼气候变化服务局（C3S）气候数据存储库（CDS）。DOI: 10.24381/cds.e2161bac 同时致谢以下机构： DRAAC，2023，亚速尔群岛区域自治政府环境与气候变化区域总局提供的区域气候数据（访问链接：https://portal.azores.gov.pt/en/web/draac） SRAACCIAM，2017。亚速尔群岛环境与气候行动区域秘书处（SRAA）的区域气候变化计划（PRAC），以及里斯本大学理学院（FCUL）的气候变化影响、适应与建模团队（CCIAM），相关数据链接：https://snig.dgterritorio.gov.pt/rndg/srv/por/catalog.search#/metadata/8804acd9-9d0f-40fb-bc2e-e4dff8c2b4b1