Hydrological data set of surface process and environment observation network in alpine region of China (2019)

Based on the long-term observation data of the field stations in the alpine network and the overseas stations in the pan third polar region, a series of data sets of meteorological, hydrological and ecological elements in the pan third polar region are established; through the intensive observation and sample plot and sample point verification in key areas, the inversion of meteorological elements, lake water and water quality, aboveground vegetation biomass, glacier and frozen soil change and other data products are completed; based on the Internet of things, the data products are retrieved Network technology, research and establish meteorological, hydrological, ecological data management platform of multi station networking, to achieve real-time data acquisition and remote control and sharing. The hydrological data set of the surface process and environment observation network in China's alpine regions in 2019 mainly collects the measured hydrological (runoff, water level, water temperature, etc.) data at six stations, including Southeast Tibet station, Zhufeng station, Yulong Snow Mountain station, Namco station, Ali station and Tianshan station. Southeast Tibet station: flow data, including 4 times of using M9 to measure flow in 2019, including average velocity, flow and maximum water depth; relative water level data is measured by hobo pressure water level meter, including daily average relative water level and water temperature data in 2019. Namco station: discharge data, including the data measured by domestic ls-1206b hand-held current meter for 4 times in 2019, including river width and flow data. The water level data is measured by hobo pressure water level meter, including the water pressure, water temperature and electricity of the original 1 hour in 2019. The relative water level can be calculated by water pressure; Everest station: rongbuhe river discharge, including river width and discharge data measured by domestic ls-1206b hand-held current meter 13 times from June to September 2019; Ali station: flow data: including 22 times of irregular measurement data by river anchor M9 in 2019, and relative water level data measured by hobo pressure water level meter, including hourly water level and water temperature data of the whole year in 2019; Tianshan station: water level data: including daily average water level of 3 points in 2019 Yulong Xueshan station: including mujiaqiao flow data from January to October in 2019

0 2020-08-31

Surface environment and meteorological data of observation network in alpine regions of China (2019)

1) Data content (including elements and significance): 19 stations (South-East Tibetan station, Namucuo station, Qomolangma station, Medog station, Ngari station, Naqu station(ITPCAS), Golmud station, Tianshan station, Qilianshan station, Ruoergai station(NIEER) , Yulong Xueshan station, Naqu station(NIEER), Haibei Station, Sanjiangyuan station, Shenzha station, Ruoergai station (CIB), Naqu station(IG SNRR), Lhasa station,Qinghai lake station) Meteorological observation data sets (temperature, precipitation, wind direction and wind speed, relative humidity, atmospheric pressure, radiation and evaporation) of the Qinghai Tibet Plateau in 2019 2) Data source and processing method: field observation excel format of 19 stations in Alpine network 3) Data quality description: Daily resolution of stations 4) Achievements and prospects of data application: Based on the long-term observation data of the field stations in the alpine network and the overseas stations in the pan third polar region, a series of data sets of meteorological, hydrological and ecological elements in the pan third polar region are established; through the intensive observation and sample plot verification in key areas, the meteorological elements, lake water and water quality, aboveground vegetation biomass, glacier and frozen soil changes are completed According to the inversion of products; based on the technology of Internet of things, the meteorological, hydrological and ecological data management platform with multi station networking is developed to realize real-time acquisition, remote control and sharing of online data.

0 2020-07-13