本数据集中的数据是基于中国700多气象观测台站的逐日积雪深度资料，利用每个台站雪深的空间代表性，及其与周围台站雪深的函数关系，研制了适用于中国积雪深度的最优空间插值算法，并生成了中国0.5度网格化逐候积雪深度数据。本数据集时间范围为1951-2015年。数据集文件命名格式为SDYYYYMM.bin，其中YYYY表示4位年份，MM表示2位月份，每个文件包含6个候。指标是候最大积雪深度，单位为厘米。\n
", "ds_source": "原数据来自中国气象局气象信息中心整理发布的中国700站逐日雪深数据集。
", "ds_process_way": "生产过程中的数据预处理遵循以下规范：由于中国逐日积雪深度资料缺测较为严重，为了最大限度地利用现有资料，项目计算了候尺度最大积雪深度，并作为项目后续研究的基础数据。为了保证资料的连续性和代表性，项目进行插值计算时只保留了在1981-2010年有效数据>=20年的台站。在进行区域平均时，按照东北区域（40°N以北，115°以东）、西北区域（40°N以北，105°以西）、青藏高原区域（40°N以南，105°以西），以及三大区域中未包括的其它区域进行计算，若区域内有效数字少于该区域总站数或网格数的一半，则赋为缺测。
", "ds_quality": "本数据集插值方法与其他插值方法得到的网格化数据相对差值较小，隆冬季节东北和西北地区平均雪深差异均可控制在1%以内，青藏高原略高，为7%。春秋两季平均雪深差异，东北地区约为1~7%，西北地区约1~15%，青藏高原4~5%。
", "ds_acq_start_time": "1951-01-01 00:00:00", "ds_acq_end_time": "2015-12-06 00:00:00", "ds_acq_place": "中国,气象观测台站", "ds_acq_lon_east": 135.0, "ds_acq_lat_south": 15.0, "ds_acq_lon_west": 75.0, "ds_acq_lat_north": 55.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 18841521, "ds_files_count": 3, "ds_format": "*.bin", "ds_space_res": "", "ds_time_res": "月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "9d6375ee-ef40-4f2e-8340-87748ecd4d95.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "b3c14ec7-0cc1-417f-8986-b6fc1352242f", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2020-12-03 08:55:15", "last_updated": "2026-05-26 16:31:54", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.CCI.2020.54", "i18n": { "en": { "title": "Gridded data set of snow depth at Chinese meteorological stations in 1951-2015", "ds_format": "*.bin", "ds_source": "The raw data comes from the daily snow depth data set of 700 stations in China compiled and released by the Meteorological Information Center of China Meteorological Administration.
", "ds_quality": "The relative difference between the gridded data obtained by the interpolation method of this data set and other interpolation methods is small. In the middle of winter, the difference in average snow depth in the Northeast and Northwest regions can be controlled within 1%, and the difference in average snow depth in the Qinghai-Tibet Plateau is slightly higher at 7%. The difference in average snow depth between spring and autumn is about 1 - 7% in Northeast China, 1 - 15% in Northwest China, and 4 - 5% in Qinghai-Tibet Plateau.
", "ds_ref_way": "", "ds_abstract": "The data in this data set is based on daily snow depth data from more than 700 meteorological observation stations in China. Using the spatial representation of snow depth at each station and its functional relationship with snow depth at surrounding stations, the data is developed suitable for China. The optimal spatial interpolation algorithm for snow depth and generated 0.5-degree gridded weather snow depth data in China. The time range of this dataset is 1951-2015. The naming format of the dataset files is SDYMM.bin, where YYYY represents a 4-digit year, MM represents a 2-digit month, and each file contains 6 dates. The indicator is the maximum snow depth, in centimeters.\r\n
", "ds_time_res": "", "ds_acq_place": "China, meteorological observation station", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The data preprocessing during the production process follows the following specifications: Due to the serious lack of daily snow depth data in China, in order to make the most of the existing data, the project calculated the maximum snow depth on the meteorological scale and used it as the basic data for subsequent research of the project. In order to ensure the continuity and representativeness of the data, the project only retained stations with valid data from 1981 to 2010 =20 years when performing interpolation calculations. When conducting regional averages, calculations are based on the Northeast region (north of 40°N, east of 115°), the Northwest region (north of 40°N, west of 105°), the Qinghai-Tibet Plateau region (south of 40°N, west of 105°), and other areas not included in the three major areas. If the significant figure in the area is less than half of the number of terminal stations or grids in the area, it will be assigned as a missing survey.
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/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, "belong_to_nieer": false, "ds_topic_tags": [ "积雪", "雪深", "网格化", "观测" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "气象观测台站" ], "ds_time_tags": [ 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 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 ], "ds_contributors": [ { "true_name": "马丽娟", "email": "malj@cma.gov.cn", "work_for": "国家气候中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "马丽娟", "email": "malj@cma.gov.cn", "work_for": "国家气候中心", "country": "中国" } ], "ds_managers": [ { "true_name": "马丽娟", "email": "malj@cma.gov.cn", "work_for": "国家气候中心", "country": "中国" } ], "category": "积雪" }