“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组耦合敏感性试验模拟）,所使用的模式包括中国科学院地球系统模式CAS-ESM，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，试验为2000年外强迫数据循环驱动模式运行共30年，其中前10年作为预热（spin-up），后20年为可用数据。数据要素：CAS-ESM模式的历史模拟试验，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、ra、rh、海冰密集度siconc、海冰厚度sithick、ua、va、zg、pfrost、alt。
", "ds_source": "物理气候耦合试验，有过剩冰；CAS-ESM模式的历史模拟试验，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、ra、rh、海冰密集度siconc、海冰厚度sithick、ua、va、zg、pfrost、alt
", "ds_process_way": "基于地球系统模式CAS-ESM的数值模拟输出月平均数据，提取关键变量，存储为NetCDF格式。模型为中国科学院地球系统模式CAS-ESM，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、ra、rh、海冰密集度siconc、海冰厚度sithick、ua、va、zg、pfrost、alt），存储为NetCDF格式，CAS-ESM一个文件（exicep-CAS-ESM.nc），每个文件中包含上述所有变量。
", "ds_quality": "", "ds_acq_start_time": null, "ds_acq_end_time": null, "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": 1306040632, "ds_files_count": 0, "ds_format": "NetCDF", "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": "e7f4d17c-f7a3-4a45-aa70-a1111aaae4bb.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 10:43:02", "last_updated": "2026-08-31 16:43:04", "protected": false, "protected_to": "2028-06-01 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7708.2026", "i18n": { "en": { "title": "coupled online simulations with exice", "ds_format": "NetCDF", "ds_source": "Physical climate coupled experiment with excess ice; historical simulation experiment of the CAS-ESM model, variables including 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, ra, rh, sea ice concentration siconc, sea ice thickness sithick, ua, va, zg, pfrost, alt
", "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 coupled sensitivity test simulations), the models used include the Earth System Model CAS-ESM of the China Academy of Sciences. The temporal resolution of the test data is monthly average, the spatial resolution is 1.4 degrees for atmospheric land surface variables, and the ocean sea ice variables is 1 degree. The spatial range is north of the Pan-Arctic (50N north latitude). The test is in 2000 for a total of 30 years, of which the first 10 years are used as spin-up and the last 20 years are available data. Data elements: Historical simulation experiments of CAS-ESM model, variables include surface temperature tas, precipitation pr, relative humidity hurs, surface wind speed sfcWind, total primary productivity gpp, carbon dioxide co2, cLitter, cSoil, cVeg, fire carbon emission fFire, vegetation leaf area index lai, mrro, mrros, pfrost, ra, rh, sea ice concentration siconc, sea ice thickness sithick, ua, va, zg, pfrost, alt.
", "ds_time_res": "", "ds_acq_place": "Holarctic", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The numerical simulation based on the earth system model CAS-ESM outputs monthly average data, extracts key variables, and stores them in NetCDF format. The model is the CAS-ESM Earth System Model of China Academy of Sciences. 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, ra, rh, sea ice concentration siconc, sea ice thickness sithick, ua, va, zg, pfrost, alt), stored in NetCDF format, CAS-ESM is one file (exicep-CAS-ESM.nc), each file containing all the above variables.
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