本数据根据国家气候中心提供的1981-2010年间全国2207个气象观测站资料，通过多年平均降水量P与多年平均潜在蒸散量E0的比值，计算各站点多年平均干燥度指数AI数据，在利用海拔、温度、降水、植被等数据作为辅助变量，通过地理加权回归法（GWR）插值成1 km格网数据，最后通过祁连山地区矢量边界裁剪，生成祁连山地区1981-2010年多年平均干燥度指数（AI）数据。
", "ds_source": "数据来自国家气候中心提供的全国1981-2010年间全国2207个气象观测站资料，数据经过中国气象局严格的质量控制。
", "ds_process_way": "（1）计算各站点年降水量和采用国际粮农组织FAO Penman-Monteith方法得到年潜在蒸散量；\n（2）计算各站点1981-2010年多年平均降水量和潜在蒸散量，并利用公式AI=P/E0计算各站点多年平均干燥度指数（该算法为UNEP算法，与国内干燥度计算公式AI=E0/P相反）；\n（3）利用海拔、温度、降水、植被等数据作为辅助变量，采用地理加权回归法（GWR），将各站点数据插值成1 km格网数据；\n（4）利用祁连山地矢量边界，进行裁剪等步骤，最后采用GeoTIFF格式输出保存。
", "ds_quality": "源数据是经过中国气象局严格质量控制的气象站点数据，数据可信度高。
", "ds_acq_start_time": "1981-01-01 00:00:00", "ds_acq_end_time": "2010-12-31 00:00:00", "ds_acq_place": "祁连山地区", "ds_acq_lon_east": 103.9, "ds_acq_lat_south": 35.830000000000005, "ds_acq_lon_west": 93.5, "ds_acq_lat_north": 39.980000000000004, "ds_acq_alt_low": 1040.0, "ds_acq_alt_high": 5993.0, "ds_share_type": "login-access", "ds_total_size": 1568430, "ds_files_count": 3, "ds_format": "栅格/GeoTIFF", "ds_space_res": "1000.0", "ds_time_res": "30年平均值", "ds_coordinate": "WGS84", "ds_projection": "Albers", "ds_thumbnail": "0aab85f4-9926-45be-bc9a-6cdb5a172214.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "祁连山地区范围多年平均干燥度指数（AI）数据（1981-2010年）以在线下载方式获取即可，全国其他地区的AI数据可联系数据服务人员离线申请。\r\n本数据由“中国科学院西北生态环境资源研究院甘肃省祁连山生态环境研究中心”制作，用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "8fa8eec3-a891-44cd-b60e-f6af19a16bba", "ds_serv_man": "张举涛", "ds_serv_phone": "0931-4967575", "ds_serv_mail": "jutzhang@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2020-11-30 15:46:31", "last_updated": "2025-06-30 16:26:12", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.qlsst.2020.14", "i18n": { "en": { "title": "Annual Average Dryness Index (AI) Data of Qilian Mountains Region (1981-2010)", "ds_format": "Raster/GeoTIFF", "ds_source": "The data comes from 2207 meteorological observation stations nationwide provided by the National Climate Center from 1981 to 2010, and has undergone strict quality control by the China Meteorological Administration.
", "ds_quality": "The source data is meteorological station data that has undergone strict quality control by the China Meteorological Administration, and the data has high credibility.
", "ds_ref_way": "", "ds_abstract": "This data is based on the data from 2207 meteorological observation stations in China provided by the National Climate Center from 1981 to 2010. The annual average aridity index (AI) data of each station is calculated by the ratio of the annual average precipitation P to the annual average potential evapotranspiration E0. Using altitude, temperature, precipitation, vegetation and other data as auxiliary variables, the data is interpolated into a 1 km grid data using the Geographically Weighted Regression (GWR) method. Finally, the vector boundary clipping of the Qilian Mountains region is used to generate the annual average aridity index (AI) data of the Qilian Mountains region from 1981 to 2010.
", "ds_time_res": "30年平均值", "ds_acq_place": "Qilian Mountains region", "ds_space_res": "1000.0", "ds_projection": "Albers", "ds_process_way": "(1) Calculate the annual precipitation at each station and use the FAO Penman Monteith method to obtain the annual potential evapotranspiration;\n(2) Calculate the annual average precipitation and potential evapotranspiration of each station from 1981 to 2010, and use the formula AI=P/E0 to calculate the annual average dryness index of each station (this algorithm is the UNEP algorithm, opposite to the domestic dryness calculation formula AI=E0/P);\n(3) Using altitude, temperature, precipitation, vegetation and other data as auxiliary variables, the geographically weighted regression (GWR) method is used to interpolate the data from each station into 1 km grid data;\n(4) Using the vector boundary of Qilian Mountains, perform cutting and other steps, and finally output and save in GeoTIFF format.
", "ds_ref_instruction": "\r\nThe annual average dryness index (AI) data (1981-2010) for the Qilian Mountains region can be obtained through online download. AI data for other regions across the country can be applied for offline by contacting data service personnel.\r\nThis data is produced by \"Gansu Qilian Mountain Ecological Environment Research Center of Northwest Institute of Ecological Environment and Resources, Chinese Academy of Sciences\". When using the data, users should clearly state the source of the data in the text, and quote the reference method provided by this metadata in the reference section." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "ds_topic_tags": [ "AI", "生态遥感", "祁连山", "干燥度", "气象" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山地区" ], "ds_time_tags": [ 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 ], "ds_contributors": [ { "true_name": "张举涛", "email": "jutzhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "张成琦", "email": "chengqizhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "冯起", "email": "qifeng@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张举涛", "email": "jutzhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "张成琦", "email": "chengqizhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "基础地理" }