本数据集为2015年塔克拉玛干沙漠气象野外科学观测研究站80m铁塔梯度系统数据集，使用vaisala公司的温度、湿度、风速风向、气压、采集器等进行观测，观测频率为小时。数据包括10层（0.5m，1m，2m，4m，10m，20m，32m，47m，63m，80m）的空气温度、湿度、风向风速资料和1m气压资料。数据分3个文件保存，分别为TZ_TOWER_RH_YYYY.CSV(空气湿度)、TZ_TOWER_TMP_YYYY.CSV（空气温度和气压）、TZ_TOWER_WND_YYYY.CSV（风速风向）。
", "ds_source": "使用VAISALA公司温度、湿度、风速风向、气压探头及数据采集器进行自动获取的数据。
", "ds_process_way": "本数据由仪器自动获取的原始数据。
", "ds_quality": "数据无缺测，质量良好。
", "ds_acq_start_time": "2015-01-01 00:00:00", "ds_acq_end_time": "2015-12-31 00:00:00", "ds_acq_place": "新疆维吾尔自治区巴音郭楞蒙古自治州且末县塔克拉玛干沙漠腹地塔中", "ds_acq_lon_east": 83.65972222222223, "ds_acq_lat_south": 38.980555555555554, "ds_acq_lon_west": 83.65972222222223, "ds_acq_lat_north": 38.980555555555554, "ds_acq_alt_low": 1099.0, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 4795817, "ds_files_count": 4, "ds_format": "xls", "ds_space_res": null, "ds_time_res": "小时", "ds_coordinate": "无", "ds_projection": "无", "ds_thumbnail": "8680f5a5-a660-4e89-9418-87ce836f744b.jpg", "ds_thumb_from": 2, "ds_ref_way": "中国气象局乌鲁木齐沙漠气象研究所，2015年塔克拉玛干沙漠80米梯度探测数据，国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2019，doi：10.12072/ncdc.IDM.db0006.2020", "paper_ref_way": "", "ds_ref_instruction": "本数据集是由仪器自动观测获取的原始数据，数据格式为CSV，可以用Excel等软件打开。", "ds_from_station": null, "organization_id": "ed54f0d0-61df-4225-aaf1-1a88722cfdf0", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "crensed@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2020-12-17 10:35:08", "last_updated": "2023-05-16 17:35:10", "protected": false, "protected_to": "2022-09-14 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.IDM.2020.26", "license": null, "i18n": { "en": { "title": "80 meter gradient detection data of Taklimakan Desert in 2015", "ds_format": "", "ds_source": "The temperature, humidity, wind speed and direction, air pressure probe and data acquisition device of Vaisala company are used for automatic data acquisition.
", "ds_quality": "No missing measurements and good quality data.
", "ds_ref_way": "\nUrumqi Institute of desert meteorology, China Meteorological Administration, 80 m gradient survey data of Taklimakan Desert in 2015, national glacier frozen soil desert scientific data center（ www.ncdc.ac.cn )，2019，doi：10.12072/ ncdc.IDM.db0006 .2020", "ds_abstract": "This data set is 80 meter gradient detection data of Taklimakan Desert in 2015. The temperature, humidity, wind speed and wind direction, air pressure and collector of Vaisala company are used for observation, and the observation frequency is hours. The data include air temperature, humidity, wind direction and wind speed data of 10 floors (0.5m, 1M, 2m, 4m, 10m, 20m, 32m, 47m, 63m, 80m) and air pressure data of 1m. The data is saved in three files, TZ_ TOWER_ RH_ YYYY.CSV (air humidity), TZ_ TOWER_ TMP_ YYYY.CSV (air temperature and pressure), TZ_ TOWER_ WND_ YYYY.CSV (wind speed and direction).
", "ds_time_res": "小时", "ds_acq_place": "Tazhong, hinterland of Taklimakan Desert, Qiemo County, Bayingolin Mongolian Autonomous Prefecture, Xinjiang Uygur Autonomous Region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "This data is obtained by the instrument automatically.
", "ds_ref_instruction": "\nThis data set is the original data obtained by automatic observation of the instrument. The data format is CSV, which can be opened with Excel and other software." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "温度", "气压", "湿度", "风速", "风向" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "新疆", "塔中", "巴音郭楞蒙古自治州" ], "ds_time_tags": [ 2015 ], "ds_contributors": [ { "true_name": "中国气象局乌鲁木齐沙漠气象研究所", "email": "", "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": "张建涛", "email": "zhangjt@idm.cn", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "中国气象局乌鲁木齐沙漠气象研究所", "email": "", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" }, { "true_name": "张建涛", "email": "zhangjt@idm.cn", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" } ], "category": "沙漠与荒漠化" }