本数据集包含我国典型积雪区的41个普通气象站2017-2019年2个积雪季的人工观测及仪器自动观测数据。
\n普通站主要位于我国新疆、青海、西藏、内蒙及东北地区。其中，新疆、青海、内蒙及东北地区的普通站包含积雪深度、空气温度数据，西藏地区的普通站包含积雪深度和雪压数据。
\n同时，每个普通站数据还包含数据自检表和数据分析图。数据集共包含4个文件夹、10个数据表、85个表单，共834415条记录。
\n数据集命名规则、时间范围及站点经纬度及海拔信息见说明文档。
\n数据时间分辨率：新疆地区普通站数据的分辨率是逐小时；青海地区普通站数据的分辨率是10分钟；西藏地区普通站数据的分辨率是逐日；东北地区普通站数据同时提供了10分钟和逐日时间分辨率的数据。
", "ds_source": "本数据集主要来自气象站点的人工观测和各单位架设的自动观测仪器的数据。
", "ds_process_way": "对原始观测数据进行了质量控制，保证其完整性、准确性检查。
", "ds_quality": "首先获取各气象站的自动观测及人工观测原始数据，之后进行质量控制。
\n数据质量控制阶段分为两步：首先数据提供者对数据进行了完整性、准确性检查。数据完整性检查主要检查各站点数据的时间范围和观测字段是否达到项目要求。数据准确性检查一方面通过数值图示，通过人工经验判断异常值并进行剔除，另一方面对数据的存储方式、格式进行统一与规范。第二阶段是不同数据提供者对其它数据进行交叉检查，再次审核数据的完整性和准确性，并对不同区域的数据进行整合。其中，数据质量控制过程中生成的数据自检表及数据分析图一并存于数据文件夹中。
\n最后整合各气象站的数据，得到完整、准确、格式一致的普通站雪深数据集。
", "ds_acq_start_time": "2017-01-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "新疆、青海、西藏、内蒙及东北地区的41个普通站点。", "ds_acq_lon_east": 129.23, "ds_acq_lat_south": 27.979999999999997, "ds_acq_lon_west": 88.08, "ds_acq_lat_north": 43.1, "ds_acq_alt_low": 115.0, "ds_acq_alt_high": 4800.0, "ds_share_type": "apply-access", "ds_total_size": 305587587, "ds_files_count": 276, "ds_format": "xlsx，jpg", "ds_space_res": null, "ds_time_res": "日、时、分", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "55916b67-b5c0-4d49-b326-94bbc7c564d5.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "aba68fe5-65d3-41b1-b036-bc274a834b5e", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.I-SNOW.db0015.2021", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2021-10-21 17:53:20", "last_updated": "2023-03-06 12:58:09", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.isnow.db2523.2022", "i18n": { "en": { "title": "snow depth dataset from common statin in the typical regions of China during 2017-2019", "ds_format": "xlsx，jpg", "ds_source": " <pre><code>\nThis data set mainly comes from the manual observation of meteorological stations and the data of automatic observation instruments erected by various units.
", "ds_quality": " <pre><code>\nFirstly, the original data of automatic observation and manual observation of each meteorological station are obtained, and then the quality control is carried out.
\nThe data quality control stage is divided into two steps: first, the data provider checks the integrity and accuracy of the data. Data integrity check mainly checks whether the time range and observation fields of data at each station meet the project requirements. On the one hand, check the data accuracy, judge and eliminate abnormal values through numerical diagrams and manual experience, on the other hand, unify and standardize the storage mode and format of data. In the second stage, different data providers cross check other data, review the integrity and accuracy of the data again, and integrate the data in different regions. Among them, the data self inspection table and data analysis diagram I generated in the process of data quality control coexist in the data folder.
\nFinally, integrate the data of each meteorological station to obtain a complete, accurate and consistent snow depth data set of ordinary stations.
", "ds_ref_way": "", "ds_abstract": " <pre><code> &emsp;&emsp;This data set contains the manual observation and instrument automatic observation data of 41 ordinary meteorological stations in typical snow areas in China in two snow seasons from 2017 to 2019.\nOrdinary stations are mainly located in Xinjiang, Qinghai, Tibet, Inner Mongolia and Northeast China. Among them, ordinary stations in Xinjiang, Qinghai, Inner Mongolia and Northeast China contain snow depth and air temperature data, and ordinary stations in Tibet contain snow depth and snow pressure data.
\nAt the same time, the data of each ordinary station also includes data self-test table and data analysis diagram. The dataset contains 4 folders, 10 data tables and 85 forms, with a total of 834415 records.
\nThe data set naming rules, time range and station longitude, latitude and altitude information are shown in the description document.
\nData time resolution: the resolution of data of ordinary stations in Xinjiang is hourly; The resolution of ordinary station data in Qinghai is 10 minutes; The resolution of ordinary station data in Tibet is day by day; The common station data in Northeast China provides both 10 minute and daily time resolution data
", "ds_time_res": "日、时、分", "ds_acq_place": "41 general stations in Xinjiang, Qinghai, Tibet, Inner Mongolia and Northeast China.", "ds_space_res": "", "ds_projection": "", "ds_process_way": " <pre><code>\nThe quality of the original observation data is controlled to ensure its integrity and accuracy.
", "ds_ref_instruction": " " } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "典型积雪区", "普通站", "雪深", "气温" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆", "西藏", "内蒙", "东北地区", "青海省" ], "ds_time_tags": [ 2017, 2018, 2019 ], "ds_contributors": [ { "true_name": "李兰海", "email": "lilh@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" }, { "true_name": "车涛", "email": "chetao@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" }, { "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": "肖建设", "email": "", "work_for": "青海省气象科学研究所", "country": "中国" }, { "true_name": "除多", "email": "chu_d22@hotmail.com", "work_for": "西藏高原大气环境科学研究所", "country": "中国" } ], "ds_meta_authors": [ { "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" } ], "ds_managers": [ { "true_name": "车涛", "email": "chetao@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": "积雪" }