{"id":"22edacbc-8ba1-440e-b5ea-b1530cf46ac9","title":"中亚农业气候指数高分辨率预估数据集（1986-2005和2031-2050）","title_en":"High-resolution projection dataset of agroclimatic indicators over Central Asia (1986-2005 and 2031-2050)","serial":"","user_limit":"为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。","instructions":"文件命名规则是：[模拟试验名称].[指数名称].[时段].nc。例如，WRF_CCSM_COR.WSDI.2031-2050.nc是基于模拟试验WRF_CCSM_COR的结果计算的未来时段的WSDI数据。\n建议使用以下工具对数据进行读写等操作，它们是Climate Data Operators (CDO)、Python的相关模块（如netCDF4、Xarray和Numpy）和NCAR Command Language (NCL)。","description":"中亚是一个高度农业化的地区，其农业资源有限且非常脆弱。为了评估未来气候变化对中亚农业的潜在影响，我们基于3个全球气候模式的9千米动力降尺度结果生产了一个中亚农业气候指数（agroclimatic indicators）高分辨率预估数据集。这些农业气候指数是生长季长度（growing season length, GSL, days），有效积温（biologically effective degree days, BEDD, ℃），霜冻天数（frost days, FD, days），夏日天数（summer days, SU, days），热浪天数（warm spell duration index, WSDI, days）和热夜天数（tropical nights, TR, days）。时段是1986-2005和2031-2050，空间分辨率为0.1°。由于这些指数（除了WSDI）都是基于温度的绝对阈值定义的，对区域模拟结果的系统偏差非常敏感，我们首先用分位数映射法（quantile mapping, QM）订正了模拟的气温，然后基于订正后的气温计算指数。评估结果显示：QM方法大幅减小了指数的偏差。预估结果显示：GSL，SU，WSDI和TR在整个中亚将显著增大，而FD将显著减小；BEDD的变化具有明显的空间差异性，在中亚北部和山区是增大的，在平原的中部和南部是减小的。这个高分辨率的数据集可被用于评估未来气候变化对中亚农业的风险影响。","doi":"10.11888/Atmos.tpdc.271934","projection":"WGS84","language":"zh","share_type":"online","east":94.0,"west":36.0,"south":30.0,"north":58.0,"scale":null,"crs":null,"filesize":132.0,"share_policy":"a","ts_created":"2022-01-05T14:49:29.063419+08:00","doi_type":"拥有自主知识产权","ts_updated":"2022-03-22T11:53:36.542594+08:00","time_description":"1986-2005和2031-2050","datas_group":3,"time_description_en":"1986-2005 and 2031-2050","data_format":null,"project":[11],"specials":[],"cite":null,"review_status":5,"review_invite":[],"review_editor":{"id":42421,"last_login":"2022-04-08T15:16:51.670544+08:00","username":"任慧霞","email":"510727846@qq.com","is_active":true,"is_staff":true,"user_name":"任慧霞"},"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"1km - 10km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6,655],"subtopics":{"metadata":"22edacbc-8ba1-440e-b5ea-b1530cf46ac9","three_pole":null,"third_pole":"XDA20020201"},"username":"XDA20020201","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":562}