Brief Introduction: 高寒区一般指海拔较高、气候寒冷的地区。中国的高寒区包括整个青藏高原,以及甘肃、内蒙古和新疆的高山地区,总面积约为290万平方公里。高寒区形成了特殊的大气过程、水文过程及生态过程,其环境变化研究是地表过程研究的重要组成部分,是开展地球系统集成研究的重要切入口。高寒区广泛分布着冰川、冻土、积雪和湿地等,是我国大江大河的源头区和重要的生态屏障区,同时又是气候条件恶劣、生态环境脆弱、经济发展水平低的地区。 从阐明高寒区大气过程、水文过程、生态过程及其相互间的联系这一科学问题的角度考虑,中国科学院组织院内所属的17个野外站(点),并通过与其他系统的野外站联合组建“高寒区地表过程与环境监测研究网络”(简称“高寒网”),通过凝炼科学问题、整合监测资源、统一观测手段、完善观测能力、提高观测水平,实现对高寒区地表过程与环境变化的长期连续监测,为地球系统集成研究、关键区域对全球变化的影响与响应、定量化辨识人类活动在全球变化中的作用等研究提供平台支撑;为揭示大江大河源头区气候变化规律和水资源形成转化规律、合理开发利用水资源,探明生态系统结构与服务功能变化、构建生态屏障,掌握冰雪冻融等自然灾害发生机理、科学防灾减灾,以及促进区域经济社会可持续发展等提供数据支持。 “高寒网”以中国科学院所属17个野外站为主体,由中国科学院作为牵头单位,组织成立“高寒网”科学委员会,把握网络研究的重要科学问题,指导网络建设的计划和发展方向。设立网络综合中心,负责组织研究和开展网络建设的具体实施工作,下设办公室、观测技术服务组和数据集成管理组。网络实施合同式管理,各参建单位需签定建设/研究合同,履行合同规定的各项任务,接受网络组织部门的考核与验收。网络建设过程中,本着科研优先,协调发展的原则,相对均衡配置网络内部各观测台站的基础设施以及观测仪器,获得的数据在网络内部实现无偿共享;本着共享开放的原则,网络的各观测站对全国开放,根据具体工作任务和成本的需要,通过协商、协议或合同的形式与相关单位开展合作,获得的数据本着先网络,再部门,后社会的原则,使原始观测数据逐步共享;本着以我为主,扩大交流的原则,整个网络开展有计划、有协调地与国外科研单位和大学合作,通过合作提高网络观测水平与扩大观测内容,围绕提高网络整体观测和研究实力的目标开展工作。“高寒网”由中国科学院层面统筹进行经费资源配置。

Number of Datasets: 65

  • The comprehensive dataset of the Tibetan Plateau cryosphere (1997)

    The contents of this data set are as follows: Ⅰ. Document (specific documents in the data set) Ⅱ. Fgmodel (model data) Ⅲ. Grid DEM, Hillshade (the digital elevation model and hillshade data) Ⅳ. Map (thumbnail) V. Meteoro (meteorological data) 1. Snowdpt (snow depth): (1) Data source: snow depth observation data and passive microwave data; (2) Attribute fields: geocoding, weather station number, weather station name, and cartographic symbols; (3) Main content: snow depth 2. Precitpt (precipitation): (1) Data source: Tibetan Plateau precipitation data; (2) Attribute fields: geocoding, weather station number, weather station name, and cartographic symbols; (3) Monthly average precipitation 3. Temprt (temperature): (1) Data source: Tibetan Plateau temperature data; (2) Attribute fields: geocoding, weather station number, weather station name, and cartographic symbols; (3) Monthly average temperature VI. QZHIGHW (Qinghai-Tibet Highway Data) Ⅶ. Vector two folders: Albers and Geo 1. frozengd (frozen soil type map): (1) Data source: Map of Snow, Ice, and Frozen Ground in China (1: 4000000), Map of Permafrost on the Qinghai-Tibetan Plateau (1:3000000); (2) Attribute fields: geocoding, zone name, annual average ground temperature (°C), permafrost thickness (m), and cartographic symbols; (3) Description of major geographical elements: permafrost and seasonally frozen soil 2. hydrogeo (hydrogeological map): (1) Data source: Geologic Map of China (1: 4000000); (2) Attribute fields: geocoding, hydrogeological classification, hydrogeological subcategories, and cartographic symbols; (3) Major geographical elements: hydrogeological phenomena 3. quadgeo (Quaternary geological map): (1) Data source: Quaternary geological Map of China (1:2500000); (2) Attribute fields: geocoding, sedimentary facies, geological time, sedimentary type, and cartographic symbols; (3) Major geographic elements: Quaternary geological type 4. lake (lake map): (1) Data source: Topographic Map of the Tibetan Plateau (1:4000000); (2) Attribute fields: geocoding, category, and cartographic symbols; (3) Major geographic elements: lake distribution 5. stream (drainage map): (1) Data source: Topographic Map of the Tibetan Plateau (1:4000000); (2) Major geographic elements: river distribution 6. vegetat (vegetation data): (1) Data source: Vegetation Map of China (1:4000000); (2) Attribute fields: geocoding, main category, subcategory, minor subcategory, and cartographic symbols; (3) Major geographical description: vegetation type 7. formap (frozen soil type map) 8. Quatgla (ancient glaciers) 9. station (weather station): (1) Data source: Tibetan Plateau meteorological station coordinate data; (2) Spatial distribution of meteorological stations Ⅷ. borehole (borehole drilling data) Code Description Drilling position Drilling histogram name 211122001 Drilling 1 mileage 1041KM+200M z1 211122002 Drilling 2 mileage 1041KM+800M z2 Data projection: Projection: Albers False_Easting: 0.000000 False_Northing: 0.000000 Central_Meridian: 90.000000 Standard_Parallel_1: 27.30.000000 Standard_Parallel_2: 37.30.000000 Latitude_Of_Origin: 0.000000 Linear Unit: Metre (1.000000) Please refer to the documentation for detailed data properties.

    2019-09-11 0 8 View Details

  • Monthly standard weather station dataset in Sanjiangyuan (1957-2015)

    Monthly meteorological data of Sanjiangyuan includes 32 national standard meteorological stations. There are 26 variables: average local pressure, extreme maximum local pressure, date of extreme maximum local pressure, extreme minimum local pressure, date of extreme minimum local pressure, average temperature, extreme maximum temperature, date of extreme maximum temperature, extreme minimum temperature and date of extreme minimum temperature, average temperature anomaly, average maximum temperature, average minimum temperature, sunshine hours, percentage of sunshine, average relative humidity, minimum relative humidity, date of occurrence of minimum relative humidity, precipitation, days of daily precipitation >=0.1mm, maximum daily precipitation, date of maximum daily precipitation, percentage of precipitation anomaly, average wind speed, maximum wind speed, date of maximum wind speed, maximum wind speed, wind direction of maximum wind speed, wind direction of maximum wind speed and occurrence date of maximum wind speed. The data format is txt, named by the site ID, and each file has 26 columns. The names and units of each column are explained in the SURF_CLI_CHN_MUL_MON_readme.txt file. site_id lat lon elv name_cn 52754 37.33 100.13 8301.50 Gangcha 52833 36.92 98.48 7950.00 Wulan 52836 36.30 98.10 3191.10 Dulan 52856 36.27 100.62 2835.00 Qiapuqia 52866 36.72 101.75 2295.20 Xining 52868 36.03 101.43 2237.10 Guizhou 52908 35.22 93.08 4612.20 Wudaoliang 52943 35.58 99.98 3323.20 Xinghai 52955 35.58 100.75 8120.00 Guinan 52974 35.52 102.02 2491.40 Tongren 56004 34.22 92.43 4533.10 Togton He 56018 32.90 95.30 4066.40 Zaduo 56021 34.13 95.78 4175.00 Qumalai 56029 33.02 97.02 3681.20 Yushu 56033 34.92 98.22 4272.30 Maduo 56034 33.80 97.13 4415.40 Qingshui River 56038 32.98 98.10 9200.00 Shiqu 56043 34.47 100.25 3719.00 Guoluo 56046 33.75 99.65 3967.50 Dari 56065 34.73 101.60 8500.00 Henan 56067 33.43 101.48 3628.50 Jiuzhi 56074 34.00 102.08 3471.40 Maqu 56080 35.00 102.90 2910.00 Hezuo 56106 31.88 93.78 4022.80 Suo County 56116 31.42 95.60 3873.10 Dingqing 56125 32.20 96.48 3643.70 Nangqian 56128 31.22 96.60 3810.00 Leiwuqi 56137 31.15 97.17 3306.00 Changdu 56151 32.93 100.75 8530.00 Banma 56152 32.28 100.33 8893.90 Seda

    2019-05-28 0 17 View Details

  • Meteorological data of surface environment and observation network in China's cold region (2014-2017)

    1) Data content (including elements and meanings): 17 stations in the Alpine Network 2014-2018 Tibetan Plateau meteorological observation data set (temperature, precipitation, wind direction, relative humidity, air pressure, radiation and evaporation) 2) Data source and processing method: 17 stations of HORN, field observation Excel format 3) Data quality description: site day resolution 4) Data application results and prospects: Based on the long-term observation data of the 17 stations of HORN, establish a series of data series of meteorological, hydrological and ecological elements in the Pan-Earth region; Strengthen observation and sample and sample verification, and complete the inversion of meteorological elements, lake water quantity and water quality, aboveground vegetation biomass, glacier and frozen soil changes; based on Internet of Things technology, develop multi-station networked meteorological, hydrological, The ecological data management platform realizes real-time acquisition and remote control and sharing of networked data.

    2019-05-07 0 36 View Details

  • Observation Data from Glacier and Hydrological Stations in the Parlung Zangbo River Basin in Southeastern Tibet (2007-2008)

    This data set contains observation data from glacier and hydrological stations in the Parlung Zangbo River Basin in southeastern Tibet. The data include measurements of the runoff from Parlung Glacier No. 4 and 24K Glacier. These monthly mean data therefore represent two different types of glaciers (debris-free and debris-covered glaciers). Observation instruments: Propeller Flow Velocity Meter (LS1206B), HOBO water level data logger. Parlung Glacier No. 4: Longitude: 96°55.19′; Latitude: 29°13.57′; Elevation: 4650 m. 24K Glacier: Longitude: 95°43.81′; Latitude: 29°45.41′; Elevation: 3800 m. The data contains two fields: Field 1: Date Field 2: Runoff, m³/s

    2019-04-18 0 10 View Details