“泛北极地区多年冻土快速消融/火灾影响气候的关键过程及未来气候-生态-环境典型要素变化”成果相关数据集（1组未来情景ssp126，模拟时段2015-2060年），CAS-ESM和NorESM模式的126情景下未来预估模拟试验，所使用的模式包括中国科学院地球系统模式CAS-ESM和挪威地球系统模式NorESM，试验数据时间分辨率为月平均，空间分辨率为大气陆面变量1.4度，海洋海冰变量1度，空间范围为泛北极（北纬50N）以北，时间范围2015-2060年。数据要素：地表气温tas、降水pr、相对湿度hurs、地表风速sfcWind、总初级生产力gpp、二氧化碳co2、cLitter、cSoil、cVeg、火碳排放fFire、植被叶面积指数lai、mrro、mrros、pfrost、alt、ra、rh、海冰密集度siconc、海冰厚度sithick
", "ds_source": "CAS-ESM和NorESM模式的126情景下未来预估模拟试验，所使用的外强迫变化路径为CMIP6设计的SSP1-2.6未来升温路径，变量包括地表气温tas、降水pr、相对湿度hurs、地表风速sfcWind、总初级生产力gpp、二氧化碳co2、cLitter、cSoil、cVeg、火碳排放fFire、植被叶面积指数lai、mrro、mrros、pfrost、alt、ra、rh、海冰密集度siconc、海冰厚度sithick
", "ds_process_way": "基于中国和挪威两个地球系统模式CAS-ESM和NorESM的数值模拟输出月平均数据,模型为中国科学院地球系统模式CAS-ESM和挪威地球系统模式NorESM，模型原始输出为月平均的NetCDF格式数据，每月一个文件，提取所需的关键变量（地表气温tas、降水pr、相对湿度hurs、地表风速sfcWind、总初级生产力gpp、二氧化碳co2、cLitter、cSoil、cVeg、火碳排放fFire、植被叶面积指数lai、mrro、mrros、pfrost、alt、ra、rh、海冰密集度siconc、海冰厚度sithick），存储为NetCDF格式，CAS-ESM一个文件（ssp126-CAS-ESM.nc），NorESM一个文件(ssp126-NorESM.nc)，每个文件中包含上述所有变量。
", "ds_quality": "", "ds_acq_start_time": "2015-01-01 00:00:00", "ds_acq_end_time": "2060-12-31 00:00:00", "ds_acq_place": "泛北极", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": 50.0, "ds_acq_lon_west": -180.0, "ds_acq_lat_north": 90.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 2565261003, "ds_files_count": 3, "ds_format": "*.nc", "ds_space_res": "大气1.4度，陆面变量1.4度，海洋变量1度，海冰变量1度", "ds_time_res": "月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "0411aac3-6f2c-4dff-b7e3-6e82abdf3d72.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": "", "organization_id": "3861756c-2fc4-4500-b612-5125d88fdd5e", "ds_serv_man": "董啸", "ds_serv_phone": "13522225059", "ds_serv_mail": "dongxiao@mail.iap.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 0, "publish_time": "2026-08-31 16:10:05", "last_updated": "2026-08-31 16:14:46", "protected": false, "protected_to": "2028-06-01 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7715.2026", "i18n": { "en": { "title": "Coupled simulations for projections of future changes in the pan-Arctic under the SSP1-RCP2.6 scenario(2015-2060)", "ds_format": "*.nc", "ds_source": "For future prediction simulation experiments under 126 scenarios of CAS-ESM and NorESM models, the external forcing change path used is the SSP1 -2.6 future warming path designed by CMIP6. The variables include surface air temperature tas, precipitation pr, relative humidity hurs, surface wind speed sfcWind, total primary productivity gpp, carbon dioxide co2, cLitter, cSoil, cVeg, fire carbon emissions fFire, vegetation leaf area index lai, mrro, mrros, pfrost, alt, ra, rh, sea ice concentration siconc, sea ice thickness sithick
", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "Data sets related to the results of \"Rapid melting of permafrost/key processes affecting climate in the Pan-Arctic region and future changes in typical climate-ecology-environment elements\"(1 set of future scenarios ssp126, simulation period 2015-2060), future prediction simulation experiments under 126 scenarios of CAS-ESM and NorESM models. The models used include China Academy of Sciences Earth System Model CAS-ESM and Norway Earth System Model NorESM. The temporal resolution of the test data is monthly average, the spatial resolution is 1.4 degrees for atmospheric land surface variables, and 1 degree for ocean sea ice variables. The spatial range is north of the Pan-North Pole (50N North latitude), and the time range is 2015-2060. Data elements: surface air temperature tas, precipitation pr, relative humidity hurs, surface wind speed sfcWind, total primary productivity gpp, carbon dioxide co2, cLitter, cSoil, cVeg, fire carbon emissions fFire, vegetation leaf area index lai, mrro, mrros, pfrost, alt, ra, rh, sea ice concentration siconc, sea ice thickness sithick
", "ds_time_res": "month", "ds_acq_place": "Holarctic", "ds_space_res": "", "ds_projection": "", "ds_share_type": "apply-access", "ds_process_way": "The numerical simulation outputs monthly average data based on two earth system models, China and Norway, CAS-ESM and NorESM. The models are the Earth System Model of China Academy of Sciences, CAS-ESM and the Earth System Model of Norway. The original output of the model is monthly average NetCDF format data, with one file per month to extract the required key variables (Surface air temperature tas, precipitation pr, relative humidity hurs, surface wind speed sfcWind, total primary productivity gpp, carbon dioxide co2, cLitter, cSoil, cVeg, fire carbon emissions fFire, vegetation leaf area index lai, mrro, mrros, pfrost, alt, ra, rh, sea ice concentration siconc, sea ice thickness sithick), stored in NetCDF format, CAS-ESM one file (ssp126-CAS-ESM.nc), NorESM one file (ssp126-NorESM.nc), each file containing all the above variables.
", "ds_ref_instruction": "None" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "allow_update_data": false, "created_from": "fair", "ds_topic_tags": [ "泛北极", "地球系统模式", "气候", "生态", "火灾", "多年冻土" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "泛北极" ], "ds_time_tags": [ 2015, 2060 ], "ds_contributors": [ { "true_name": "朱家文", "email": "zhujw@mail.iap.ac.cn", "work_for": "中国科学院大气物理研究所", "country": "中国" }, { "true_name": "董啸", "email": "dongxiao@mail.iap.ac.cn", "work_for": "中国科学院大气物理研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "董啸", "email": "dongxiao@mail.iap.ac.cn", "work_for": "中国科学院大气物理研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "董啸", "email": "dongxiao@mail.iap.ac.cn", "work_for": "中国科学院大气物理研究所", "country": "中国" } ], "category": "极地" }