在全球气候变化背景下，极端气候事件频发，对生态环境和人类社会造成了极大的影响。特别是复合型极端气候事件的发生，如气温上升、局部干旱和高温威胁还可能导致春季霜冻的风险增加，给农业生产带来复合连锁效应。研究极端气候事件对准确、定量地预测和防范灾害性天气事件，保护生态环境和人民生命财产安全至关重要。
", "ds_source": "由于现有的极端气候指标数据集时空分辨率较低，限制了区域极端气候的影响和评估研究。本数据集提供了中国近40年极端气候指标数据集，包含27个核心极端气候指标，数据空间分辨率是0.1°，时间跨度1979-2018年。
", "ds_process_way": "该数据集与已有的极端气候指标数据集相比，相关性达0.7，且空间分辨率较高，可为研究中国极端气候事件及其影响评估提供有价值的数据源。因此，具有重要的理论和实际应用价值。用户可以根据自己的需求，选择性地下载数据，并进行数据格式转换处理等操作，以满足自己的实际需求。
", "ds_quality": "本研究分别使用HadEX3、CEI_0p25和CECID_0p25与本研究数据集CECI对比验证，数据准确性较高。
", "ds_acq_start_time": "1979-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "中国", "ds_acq_lon_east": 135.05, "ds_acq_lat_south": 53.86666666666667, "ds_acq_lon_west": 73.75, "ds_acq_lat_north": 18.183333333333334, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 150777, "ds_files_count": 7, "ds_format": "*.nc", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "618c7d66-329a-4005-abd1-232bb06ea863.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2024-01-09 11:27:31", "last_updated": "2025-05-15 09:23:07", "protected": false, "protected_to": null, "lang": "zh", "cstr": "https://cstr.cn/31253.11.sciencedb.09599", "i18n": { "en": { "title": "", "ds_format": "", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "", "ds_time_res": "", "ds_acq_place": "China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "中国", "极端气候指标", "气候变化" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018 ], "ds_contributors": [ { "true_name": "陈锦河", "email": "", "work_for": "中国地质大学（北京）数理学院", "country": "" }, { "true_name": "王昆", "email": "wangk@aircas.ac.cn", "work_for": "可持续发展大数据国际研究中心", "country": "中国" }, { "true_name": "黄铁成", "email": "", "work_for": "可持续发展大数据国际研究中心", "country": "" }, { "true_name": "黄文江", "email": "", "work_for": "可持续发展大数据国际研究中心", "country": "" }, { "true_name": "高世臣", "email": "", "work_for": "中国地质大学（北京）数理学院", "country": "" }, { "true_name": "郭培昌", "email": "", "work_for": "中国地质大学（北京）数理学院", "country": "" }, { "true_name": "邹昀轩", "email": "", "work_for": "中国地质大学（北京）数理学院 ", "country": "" } ], "ds_meta_authors": [ { "true_name": "王昆", "email": "wangk@aircas.ac.cn", "work_for": "可持续发展大数据国际研究中心", "country": "中国" } ], "ds_managers": [ { "true_name": "王昆", "email": "wangk@aircas.ac.cn", "work_for": "可持续发展大数据国际研究中心", "country": "中国" } ], "category": "气象" }