本数据集为2015年12月至2020年12月祁连山大野口流域海拔2575米气象塔的1小时时间尺度常规气象观测数据，坐标：N 38°34′1.3″，E 100°17′18.3″；海拔：2575m；观测要素包括：2m、10m气温（℃），2m、10相对湿度（%）和水汽压（Kpa），2m、10m风速（m/s）和风向（°），四分量辐射（W/m^2），日照时数（h），大气压（hpa），降水量（mm），土壤热通量(W/m^2),0cm地表温度（℃），土壤温度（℃）、土壤水分（m^3/m^3）、电导率（dS/m），土壤三参传感器布设深度10cm、20cm、30cm、40cm、60cm、80cm。降水量每年5-10月自动观测正常，11月至次年4月祁连山区处于冰冻季节，降水量无法自动观测。该数据由1小时内的10分钟采集数据统计获得，其中日照时数和降雨量为10分钟数据求和，其余均为10分钟数据平均值。", "ds_source": "
自动采集；数据采集器及传感器型号：数据采集器campbell cr6，空气温湿度传感器HMP155,风速风向传感器WindSonic二维超声风速风向仪，NR01四分量辐射传感器，日照时数传感器SD4，气压传感器PTB110，翻斗式雨量筒TR-525MM，地表红外温度传感器 SI-111-SS(2018年10月安装）,土壤温湿盐三参传感器CSS655。", "ds_process_way": "
该数据是基于采集的原始测量数据（10分钟数据表）经过异常值剔除后统计而来，其中，日照时数、降水量为1小时内的10分钟数据求和，其它均为1小时内的10分钟数据平均值。个别时段无数据是因设备故障或剔除异常值后所致。", "ds_quality": "
数据是基于原始测量数据剔除异常值后统计获得，数据质量优。", "ds_acq_start_time": "2015-12-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "甘肃祁连山森林生态站气象观测场", "ds_acq_lon_east": 100.28833333333333, "ds_acq_lat_south": 38.56944444444445, "ds_acq_lon_west": 100.28833333333333, "ds_acq_lat_north": 38.56944444444445, "ds_acq_alt_low": 2575.0, "ds_acq_alt_high": 2575.0, "ds_share_type": "apply-access", "ds_total_size": 13241354, "ds_files_count": 2, "ds_format": ".xlsx", "ds_space_res": "", "ds_time_res": "1小时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "9e3965a1-cdb4-481e-b518-9e57392d4aa4.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据由“甘肃祁连山森林生态系统定位观测研究站”产生，用户在使用数据时请署名共同作者（署名作者：王荣新、敬文茂，单位：甘肃祁连山森林生态系统定位观测研究站），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。", "ds_from_station": null, "organization_id": "64539960-cb4f-4a67-96a0-19e2048b7dfd", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.15", "170.5525" ], "quality_level": 3, "publish_time": "2026-02-02 10:21:41", "last_updated": "2026-02-02 15:13:36", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.QILIAN_WRCF.DB7083.2026", "license": null, "i18n": { "en": { "title": "Hourly observation data from a 10 meter meteorological tower on a grassland at an altitude of 2575 meters in the Dayekou watershed of Qilian Mountains (December 2015 December 2020)", "ds_format": ".xlsx", "ds_source": "
Automatic collection; Data collector and sensor models: Campbell CR6 data collector, HMP155 air temperature and humidity sensor, WindSonic two-dimensional ultrasonic wind speed and direction sensor, NR01 four component radiation sensor, SD4 sunshine hours sensor, PTB110 air pressure sensor, TR-525MM tipping bucket rain gauge, SI-111-SS surface infrared temperature sensor (installed in October 2018), CSS655 soil temperature, humidity, and salinity three parameter sensor.", "ds_quality": "
The data is obtained by statistical analysis based on the original measurement data after removing outliers, and the data quality is excellent.", "ds_ref_way": "", "ds_abstract": "
This dataset consists of 1-hour time scale conventional meteorological observation data from a 2575 meter meteorological tower in the Dayekou watershed of the Qilian Mountains from December 2015 to December 2020. The coordinates are N 38 ° 34 ′ 1.3 ″ and E 100 ° 17 ′ 18.3 ″; Altitude: 2575m; observation elements include: temperature (℃) at 2m and 10m, relative humidity (%) and water vapor pressure (Kpa) at 2m and 10m, wind speed (m/s) and direction (°) at 2m and 10m, four component radiation (W/m ^ 2), sunshine hours (h), atmospheric pressure (hpa), precipitation (mm), soil heat flux (W/m ^ 2), surface temperature at 0cm (℃), soil temperature (℃), soil moisture (m ^ 3/m ^ 3), conductivity (dS/m), and soil three parameter sensors are deployed at depths of 10cm, 20cm, 30cm, 40cm, 60cm, and 80cm. The automatic observation of precipitation is normal from May to October every year, but the Qilian Mountains are in the freezing season from November to April of the following year, and precipitation cannot be automatically observed. This data is obtained through 10 minute data collection within 1 hour, where the sunshine hours and rainfall are the sum of the 10 minute data, and the rest are the average values of the 10 minute data.", "ds_time_res": "1小时", "ds_acq_place": "Meteorological Observation Field of Qilian Mountain Forest Ecological Station in Gansu Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
This data is based on the collected raw measurement data (10 minute data table) and is statistically analyzed after removing outliers. The sunshine hours and precipitation are the sum of 10 minute data within 1 hour, while the rest are the average of 10 minute data within 1 hour. The lack of data in certain time periods is due to equipment malfunctions or after removing outliers.", "ds_ref_instruction": "This data is generated by the \"Gansu Qilian Mountain Forest Ecosystem Positioning Observation and Research Station\". When using the data, users are requested to sign as co authors (signed authors: Wang Rongxin, Jing Wenmao, unit: Gansu Qilian Mountain Forest Ecosystem Positioning Observation and Research Station), clearly indicate the source of the data in the main text, and cite the citation method provided by this metadata in the reference section." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "气象", "气温", "湿度", "气压", "风速", "风向", "土壤温度", "土壤湿度", "土壤热通量", "降水", "辐射", "日照时数" ], "ds_subject_tags": [ "大气科学", "水文气象学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山", "大野口" ], "ds_time_tags": [ 2015, 2016, 2017, 2018, 2019, 2020 ], "ds_contributors": [ { "true_name": "王荣新", "email": "zywangrx@163.com", "work_for": "甘肃省祁连山水源涵养林研究院", "country": "中国" }, { "true_name": "敬文茂", "email": "maodanjing@126.com", "work_for": "甘肃省祁连山水源涵养林研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "王荣新", "email": "zywangrx@163.com", "work_for": "甘肃省祁连山水源涵养林研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "王荣新", "email": "zywangrx@163.com", "work_for": "甘肃省祁连山水源涵养林研究院", "country": "中国" }, { "true_name": "李红星", "email": "lihongxing@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": "气象" }