中国积雪历史数据集（2008-2016）来自中国科学院西北生态环境资源研究院，中国气象局国家（卫星气象中心、新疆区局、青海省局、黑龙江省局、内蒙古省局）、中国科学院东北地理与农业生态研究所、南京大学、北京师范大学等多家单位积雪研究团队贡献的积雪历史野外考察资料，由项目课题、业务和科学研究需求、兴趣爱好等驱动，人工观测为主、自动观测为辅而获得，经过本次整理，实现了统一的规范，并对数字化遗漏数据进行了补录。
\n具体分为14个子数据集：北疆地区不同粒径积雪光谱反射率数据集（2010年）、黑龙江省积雪属性观测数据集（2016年）、怀来遥感综合试验站积雪冻融循环过程观测数据集（2012年）、吉林省松原市积雪微波辐射观测数据集（2010年）、内蒙古锡林浩特草原积雪观测数据集（2018-2020年）、青藏高原积雪参数与土壤参数自动观测数据集（2015-2016年）、青海祁连积雪属性和反照率数据集(2008年)、新疆阿勒泰国家基准气候站逐日积雪特性数据集（2015-2016年）、新疆阿勒泰积雪特性调查数据集(2016年)、新疆阿勒泰雪深和BRDF观测数据集(2015年）、新疆玛纳斯河流域积雪特性调查数据集(2013-2014年)、中国典型积雪区地面积雪加密自动观测数据集（2013-2019年）、中国小兴安岭和长白山地区积雪线路观测数据集（2012-2013年）、中国新疆玛纳斯河流域积雪参数台站观测数据集（2012-2017年）。
\n包含积雪深度、湿度、密度、粒径、分层、分类，积雪比表面积、光谱反射率、BRDF、反照率、微波辐射亮温，雪剖面分层密度、温度、湿度、粒径、介电常数，积雪环境照片、空气温度、土壤温度、土壤体积含水量、土壤电导率、土壤复介电常数等参数。
\n空间上覆盖了东北-内蒙古、新疆和青藏高原中国三大典型积雪区，时间范围为2008-2020年；观测要素涵盖积雪深度、湿度、密度、粒径、分层、分类，积雪比表面积、光谱反射率、BRDF、反照率、微波辐射亮温，雪剖面分层密度、温度、湿度、粒径、介电常数，积雪环境照片、空气温度、土壤温度、土壤体积含水量、土壤电导率、土壤复介电常数等；数据集包含36个文件夹，857个文件，有xls/txt/doc/jpg/png等多种格式，共327MB。
\n数据集整理科学、规范、有效，配套文档齐全，可满足研究与试验发展、气象和农业服务、水利管理业、环境管理业等领域的使用要求。
", "ds_source": "数据集数据大部分为人工野外观测，少部分为仪器自动观测，但也经人工整理和质量控制。具体信息参见各子数据集内部说明文档和元数据。
", "ds_process_way": "基于原始观测数据整理进行了存储、命名和格式等规范化，对数字化遗漏数据进行了补录，增加了质量控制，编写了数据集/子数据集文档说明。具体信息参见各子数据集内部说明文档和元数据。
", "ds_quality": "同类数据采用相同的数据质量控制方法，对无效或观测记录不完整也无法恢复的数据予以舍弃；尽可能将同次观测的数据做匹配，整合到一起。具体处理方法参见各子数据集内部说明文档和元数据。
", "ds_acq_start_time": "2008-01-01 00:00:00", "ds_acq_end_time": "2019-04-01 00:00:00", "ds_acq_place": "新疆（天山到北疆、阿勒泰、玛纳斯河流域）、黑龙江省（气象站）、河北怀来、吉林省松原市、内蒙古锡林浩特草原、青藏高原（青藏气象站，青海祁连）、中国小兴安岭和长白山地区等。", "ds_acq_lon_east": 132.17, "ds_acq_lat_south": 27.866666666666667, "ds_acq_lon_west": 81.33, "ds_acq_lat_north": 48.016666666666666, "ds_acq_alt_low": 53.0, "ds_acq_alt_high": 4743.0, "ds_share_type": "apply-access", "ds_total_size": 343196544, "ds_files_count": 839, "ds_format": ".xlsx .xls .txt .png .jpg", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "6fa41911-bb7e-4e1f-a294-93b8590209ed.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据集由“中国积雪特性及分布调查”（2017FY100500）项目课题1“中国地面积雪特性及分布调查”整理产生，与源数据贡献者有同等贡献，用户在使用数据时请在正文中明确注明数据的来源，并在参考文献部分引用本元数据提供的引用方式。源数据贡献者请参见各子数据集内部说明文档和元数据。", "ds_from_station": null, "organization_id": "aba68fe5-65d3-41b1-b036-bc274a834b5e", "ds_serv_man": "李红星", "ds_serv_phone": "09314967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-10-22 15:17:56", "last_updated": "2023-08-23 16:47:04", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.isnow.db2529.2022", "i18n": { "en": { "title": "Historical data set of snow cover in China (2008-2019)", "ds_format": ".xlsx .xls .txt .png .jpg", "ds_source": " <pre><code>\nMost of the data in the data set are manual field observation and a few are automatic observation by instruments, but they are also manually sorted and quality controlled. For details, please refer to the internal documentation and metadata of each sub dataset.
", "ds_quality": " <pre><code>\nThe same data quality control method shall be adopted for similar data, and the data that is invalid or incomplete observation records and cannot be recovered shall be discarded; Try to match and integrate the data observed at the same time. For specific processing methods, see the internal description documents and metadata of each sub dataset.
", "ds_ref_way": "", "ds_abstract": " <pre><code> &emsp;&emsp; The historical data set of snow cover in China (2008-2016) is from Northwest Institute of ecological environment and resources, Chinese Academy of Sciences, China Meteorological Administration (National Satellite Meteorological Center, Xinjiang Regional Bureau, Qinghai Provincial Bureau, Heilongjiang Provincial Bureau and Inner Mongolia Provincial Bureau), Northeast Institute of geography and Agroecology, Chinese Academy of Sciences, Nanjing University The snow history field investigation data contributed by snow research teams of Beijing Normal University and other units are driven by project topics, business and scientific research needs, interests and hobbies, mainly manual observation and supplemented by automatic observation. After this sorting, a unified specification is realized, and the digital missing data are supplemented.\nSpecifically, it is divided into 14 sub data sets: snow spectral reflectance data set of different particle sizes in Northern Xinjiang (2010), snow attribute observation data set of Heilongjiang Province (2016), snow freeze-thaw cycle observation data set of Huailai remote sensing comprehensive test station (2012), snow microwave radiation observation data set of Songyuan City, Jilin Province (2010) Inner Mongolia Xilinhot grassland snow observation data set (2018-2020), Qinghai Tibet Plateau snow parameters and soil parameters automatic observation data set (2015-2016), Qinghai Qilian snow attributes and albedo data set (2008), Xinjiang Altay national reference climate station daily snow characteristics data set (2015-2016), Xinjiang Altay snow characteristics investigation data set (2016) Xinjiang Altay snow depth and BRDF observation data set (2015), Xinjiang Manas River Basin snow characteristics survey data set (2013-2014), China's typical snow area snow encryption automatic observation data set (2013-2019), China's Xiaoxing'an Mountains and Changbai mountains snow line observation data set (2012-2013) . observation data set of snow parameter stations in Manas River Basin, Xinjiang, China (2012-2017).
\nIt includes snow depth, humidity, density, particle size, stratification and classification, snow specific surface area, spectral reflectance, BRDF, albedo, microwave radiation brightness temperature, snow profile stratification density, temperature, humidity, particle size, dielectric constant, snow environmental photos, air temperature, soil temperature, soil volume water content, soil conductivity, soil complex dielectric constant and other parameters.
\nSpatially, it covers three typical snow areas in Northeast Inner Mongolia, Xinjiang and Qinghai Tibet Plateau in China, and the time range is 2008-2020; the observation elements include snow depth, humidity, density, particle size, stratification and classification, snow specific surface area, spectral reflectance, BRDF, albedo, microwave radiation brightness temperature, snow profile stratification density, temperature, humidity, particle size, dielectric constant and snow cover Environmental photos, air temperature, soil temperature, soil volume water content, soil conductivity, soil complex dielectric constant, etc.; the data set contains 36 folders and 857 files in XLS / TXT / Doc / JPG / PNG and other formats, with a total of 327mb.
\nThe data set is scientific, standardized and effective, and the supporting documents are complete, which can meet the application requirements in the fields of research and experimental development, meteorology and agricultural services, water conservancy management industry, environmental management industry and so on.
", "ds_time_res": "", "ds_acq_place": "Xinjiang (Tianshan Mountain to northern Xinjiang, Altay, Manas River Basin), Heilongjiang Province (Meteorological Station), Huailai, Hebei Province, Songyuan City, Jilin Province, Xilinhot grassland, Inner Mongolia, Qinghai Tibet Plateau (Qinghai Tibet meteorological station, Qilian, Qinghai), Xiaoxing'an Mountains and Changbai Mountains in China, etc.", "ds_space_res": "", "ds_projection": "", "ds_process_way": " <pre><code>\nBased on the sorting of original observation data, the storage, naming and format are standardized, the digitized missing data are supplemented, the quality control is added, and the document description of data set / sub data set is compiled. For details, please refer to the internal documentation and metadata of each sub dataset.
", "ds_ref_instruction": " This data set is compiled by the project topic 1 \"investigation of snow characteristics and distribution in China\" (2017fy100500) and has the same contribution as the source data contributors. When using the data, users should clearly indicate the source of the data in the text and quote the reference method provided by this metadata in the reference part. For source data contributors, please refer to the internal documentation and metadata of each sub dataset." } }, "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, "is_paper_in_submitting": false, "ds_topic_tags": [ "积雪深度", "湿度", "密度", "粒径", "分层", "分类，积雪比表面积", "光谱反射率", "BRDF", "反照率", "微波辐射亮温", "温度", "介电常数，积雪环境照片", "空气温度", "土壤温度", "土壤体积含水量", "土壤电导率", "土壤复介电常数", "雪剖面分层密度" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆（天山到北疆、阿勒泰、玛纳斯河流域）", "黑龙江省（气象站）", "河北怀来", "吉林省松原市", "内蒙古锡林浩特草原", "青藏高原（青藏气象站，青海祁连）", "长白山地区", "小兴安岭" ], "ds_time_tags": [ 2008, 2010, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 ], "ds_contributors": [ { "true_name": "郑照军", "email": "zhengzj@cma.gov.cn", "work_for": "国家卫星气象中心", "country": "中国" }, { "true_name": "郝晓华", "email": "haoxh@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": "李晓峰", "email": "lixiaofeng@iga.ac.cn", "work_for": "中国科学院东北地理与农业生态研究所", "country": "中国" }, { "true_name": "肖鹏峰", "email": "xiaopf@nju.edu.cn", "work_for": "南京大学", "country": "中国" }, { "true_name": "蒋玲梅", "email": "jiang@bnu.edu.cn", "work_for": "北京师范大学", "country": "中国" }, { "true_name": "戴礼云", "email": "dailiyun@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": "刘艳", "email": "liuyan@idm.cn", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "郑照军", "email": "zhengzj@cma.gov.cn", "work_for": "国家卫星气象中心", "country": "中国" } ], "ds_managers": [ { "true_name": "郑照军", "email": "zhengzj@cma.gov.cn", "work_for": "国家卫星气象中心", "country": "中国" } ], "category": "积雪" }