Observational datasets of Pan-Third Pole

Brief Introduction: The high-cold regions in China include the Qinghai Tibetan Plateau, and the alpine regions of Gansu, Inner Mongolia and Xinjiang, with a total area of about 2.9 million square kilometers. Due to the complexity of topography and geomorphology, the worldwide researches more and more focus on the surface processes of the Qinghai Tibetan Plateau and its adjacent areas. The High-cold Region Observation and Research Network for Land Surface Processes & Environment of China (HORN) has gradually formed. It integrates 17 stations of Chinese Academy of Sciences, for long term observations and researches of land surface processes, including glaciers, permafrost, lades, alpine ecosystem in the high-cold regions of China. It provides a platform support for integrated researches of earth system, through condensation of scientific problems, integration of monitoring resources, improvement of observation capability and level, long-term continuous monitoring of surface processes and environmental changes in cold regions. It also provides data support for revealing the law of climate change and water resources formation and transformation in the headwaters of big rivers, exploring the changes of ecosystem structure and service function, grasping the mechanism of natural disasters such as ice and snow freezing and thawing, and promoting the sustainable development of regional economy and society, etc. A network integrated center is set up to organize research and carry out the specific implementation of network construction. It consists of an office, an observation technology service group and a data integration management group. The participating units of HORN should sign construction/research contracts in order to implement contract-based management, perform all tasks in the contracts and accept the examination and acceptance of the network organization. The network construction should give priority to scientific research, coordinated development, relatively balanced allocation of infrastructure and observation instruments, and free sharing of data within the network. For the principle of sharing and opening, the observatories of the network are open to the whole country. The network cooperates with relevant units through consultation, agreement or contract according to specific tasks and costs; the original observation data are gradually shared based on the principle of first the network, then the department and then the society. The network carries out planned and coordinated cooperation with foreign scientific research institutions and universities, which can improve the level of network observation and expand the content of observation through the cooperation. The HORN is managed by the Chinese Academy of Sciences in the allocation of funds and resources.

Number of Datasets: 107

  • Lake water level data of Nam Co station (2019)

    Lake water level data of Nam Co station (2019)

    1) Data content: daily water level change data of Nam Co in 2019. The coordinates of observation points are 90.96 ° E, 30.77 ° N, 4730m above sea level, and the underlying surface is alpine grassland. (2) Data source and processing method: measure by manually reading the water level gauge. The original observation data shall be processed and quality controlled by a specially assigned person according to the observation records. (3) Data quality description: because the data is obtained by manual reading of water gauge, it is greatly affected by the harsh environment, and the data is missing and discontinuous in some periods. (4) Data application prospect: the data can be applied to scientific research fields such as Lake hydrology and hydrological process in high and cold areas.

    2021-11-09 1457 636

  • Meteorological observation data of Everest integrated atmospheric and environmental observation research station (2017-2018)

    Meteorological observation data of Everest integrated atmospheric and environmental observation research station (2017-2018)

    This data set includes the daily average values of air temperature, air pressure, relative humidity, wind speed, precipitation, total radiation, p2.5 concentration, short wave radiation, etc. observed by the comprehensive observation and research station of atmosphere and environment of Everest from 2017 to 2018.

    2019-11-22 5826 84

  • Central Asian meteorological station observation dataset (2017-2018)

    Central Asian meteorological station observation dataset (2017-2018)

    Central Asian meteorological station observation data set includes field observation data of temperature, precipitation, wind direction and speed, relative humidity, air pressure, radiation, soil heat flux, sunshine time and soil temperature at 10 field weather stations in central Asia. The 10 field stations cover different ecosystem types such as farmland, forest, grassland, desert, desert, wetland, plateau and mountain. The original meteorological data collected by the ground meteorological observation stations in this data set are obtained after format conversion after screening and auditing. The data quality is good. Various types of climate in the Middle East, fragile ecological environment, the frequent meteorological disasters, the establishment of the data set for long-term ecological environment monitoring, disaster prevention and mitigation in central Asia, central Asia, climate change and ecological environment in the areas of study provides data support, ecological environment monitoring in central Asia has been obtained in the study of the application.

    2022-04-15 3347 302

  • Meteorological observation data of Namuco multi circle comprehensive observation and research station (2017-2018)

    Meteorological observation data of Namuco multi circle comprehensive observation and research station (2017-2018)

    This data set includes the daily values of temperature, air pressure, relative humidity, wind speed, precipitation, total radiation, etc. observed at Namuco station from January 1, 2017 to December 31, 2018.

    2019-11-21 6142 89

  • Long-term dataset of concentrations of atmospheric POPs in the southeast Tibet (2012-2014)

    Long-term dataset of concentrations of atmospheric POPs in the southeast Tibet (2012-2014)

    This data set is the long-term concentrations of atmospheric POPs in southeast Tibet, including OCP, PCBs and PAHs. The sampling period in this study was from August 2008 to July 2014. The data was gained from the continuous air monitoring program in STORS. In this program, a low-volume air sampler (~100 L/min) was set at STORS to trap particle- and gas-phase chemicals by a glass fiber filter (GFF, diameter of 9 cm) and polyurethane foam plugs (PUFs, 7.5 cm × 6 cm diameter), respectively. Typically, ~700 m3 of air was collected over a two-week period. Total (gas + particle) phase concentrations are reported. POPs were analyzed at Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Chinese Academy of Sciences. The air samples were Soxhlet-extracted, purified on an aluminium/silica column (i.d. 8 mm), a gel permeation chromatography (GPC) column subsequently. The samples were detected on a gas chromatograph with an ion-trap mass spectrometer (GC-MS, Finnigan Trace GC/PolarisQ) operating under MS–MS mode. A CP-Sil 8CB capillary column (50 m ×0.25 mm, film thickness 0.25 μm) was used for OCPs and PCBs and a DB-5MS column (60 m ×0.25mm, film thickness 0.25 μm) was used for PAHs. Field blanks and procedural blanks were prepared. The recoveries ranged from 64% to 112% for OCPs, and 65% to 92% for PAHs. The reported concentrations were not corrected for recoveries.

    2020-08-15 2390 18

  • Observational farmland ecosystem data in Lhasa on the Tibetan Plateau (2006-2009)

    Observational farmland ecosystem data in Lhasa on the Tibetan Plateau (2006-2009)

    This data set includes the biomass and photosynthesis observational data of the highland spring barley experimental plot at the Lhasa Farm Experimental Station and the meteorological data observationally obtained at the Damxung Grass Experimental Station. The time range is 2006-2009. Biomass observation method: The sampling area of each sample is 25 cm*25 cm. Photosynthetic data observation: The instrument is a LiCor-6400. The biomass data are manually entered according to the record book. The photosynthetic data are automatically recorded by the instrument. The average wind speed, prevailing wind direction, temperature, atmospheric pressure and relative humidity in the daily values of meteorological data are averaged over half-hour data. The precipitation and total radiation data are automatically recorded by the observation system. The observation process of biomass data is in strict accordance with the agronomic method, and it can be applied to the estimation of agricultural productivity. In the process of photosynthetic data observation, the operation of the instrument and the selection of the observation object are strictly in accordance with professional requirements and can be used in photosynthetic parameter simulations estimating plant leaf and productivity. The Tibetan Plateau farmland ecosystem observation data includes: 1) aboveground biomass; 2) CO2 response photosynthetic data; 3) light-response photosynthetic data; and 4) daily meteorological data in Damxung Monitoring Point. Data collection locations: Lhasa Agricultural Ecology Experimental Station, Chinese Academy of Sciences, Longitude: 91°20’, Latitude: 29°41’, Altitude: 3688 m and Damxung Alpine Meadow Carbon Flux Observation Station, Longitude: 91°05′, Latitude: 30°25′, Altitude: 4333 m.

    2019-09-15 3218 343

  • The Active layer moisture monitoring dataset of Tibet Plateau Beibeihe meteorological station (2017-2018)

    The Active layer moisture monitoring dataset of Tibet Plateau Beibeihe meteorological station (2017-2018)

    The active layer is one of the main characteristics of permafrost. It melts in warm season and freezes in cold season, showing seasonal changes. The change of ground temperature of active layer will directly affect the change of temperature of permafrost, thus affecting the stability of permafrost.The monitoring station of this data set is located at 92 °E, 35 ° N, with an elevation of 4,600 M. The monitoring site is flat, the vegetation type is alpine meadow, and the monitoring instrument is DT500 series data acquisition instrument. The monitoring of ground temperature is carried out at 5 depths below the surface, 10 cm, 20 cm, 40 cm, 80 cm and 160cm respectively. The time interval of this data set is 1 day, which is the average value of data once every 30 minutes.Data are stable and continuous during the period.Scientific subjects such as thermal change process and change mechanism of active layer are carried out by combining data of soil heat flux and soil moisture.

    2022-04-18 2515 308

  • Basic meteorological data of forest line on the east slope of Sygera mountains, at South-East Tibetan plateau Station  of Chinese Academy of Sciences (2018)
  • Meteorological observation data from the integrated observation and research station of the western environment in Muztagh Ata (2003-2016)

    Meteorological observation data from the integrated observation and research station of the western environment in Muztagh Ata (2003-2016)

    This data set includes daily values of temperature, pressure, relative humidity, wind speed, wind direction, precipitation, radiation, water vapour pressure and other elements obtained from the Integrated Observation and Research Station of the Westerly Environment in Muztagh Ata from 18 May 2003 to 31 December 2016. The data are obtained by an automatic meteorological station (Vaisala) that recorded one measurement every 30 minutes. The data set was processed as a continuous time series after the original data were quality controlled. This data set satisfies the accuracy requirements of the meteorological observations of the National Weather Service and the World Meteorological Organization (WMO), and the systematic errors caused by the tracking data and sensor failure have been eliminated. The data set has mainly been applied in the fields of glaciology, climatology, environmental change research, cold zone hydrological process research and frozen soil science. Furthermore, this data set is mainly used by professionals engaged in scientific research and training in atmospheric physics, atmospheric environment, climate, glaciers, frozen soil and other disciplines.

    2022-07-15 5605 928

  • Meteorological observation data of Everest integrated atmospheric and environmental observation research station (2019-2020))

    Meteorological observation data of Everest integrated atmospheric and environmental observation research station (2019-2020))

    This meteorological data is the basic meteorological data of air temperature, relative humidity, wind speed, precipitation, air pressure, radiation, soil temperature and humidity observed in the observation site (86.56 ° e, 28.21 ° n, 4276m) of the comprehensive observation and research station of atmosphere and environment of Qomolangma, Chinese Academy of Sciences from 2019 to 2020. Precipitation is the daily cumulative value. All data are observed and collected in strict accordance with the instrument operation specifications, and some obvious error data are eliminated when processing and generating data The data can be used by students and scientific researchers engaged in meteorology, atmospheric environment or ecology (Note: when using, it must be indicated in the article that the data comes from Qomolangma station for atmospheric and environmental observation and research, Chinese Academy of Sciences (QOMS / CAS))

    2022-01-27 1300 0

  • The water level observation of lakes on the Tibetan Plateau (2010-2017)

    The water level observation of lakes on the Tibetan Plateau (2010-2017)

    The water level observation data set of lakes on the Tibetan Plateau contains the daily variations of water levels for three lakes: Zhari Namco, Bamco and Dawaco. The lake water level was obtained by a HOBO water level gauge (U20-001-01) installed on the lakeshore, then corrected using the barometer installed on the shore or pressure data of nearby weather stations, and then the real water level changes were obtained. The accuracy was less than 0.5 cm. The items of this data set are as follows: Daily variation data of water level in Zhari Namco from 2009 to 2014; Daily variation data of water level in Bamco from 2013 to 2014; Daily variation data of water level in Dawaco from 2013 to 2014. Water level, unit: m.

    2022-11-20 4967 368

  • Meteorological observation data of comprehensive observation and research station of alpine environment in Southeast Tibet (2017-2018)

    Meteorological observation data of comprehensive observation and research station of alpine environment in Southeast Tibet (2017-2018)

    This data set includes the daily average data of air temperature, relative humidity, precipitation, wind speed, wind direction, net radiation, air pressure, etc. of Southeast Tibet station from January 1, 2017 to December 31, 2018.

    2019-11-22 6340 154

  • South-East Tibetan plateau Station of Chinese Academy of Sciences: basic meteorological data in the station (2019-2020)

    South-East Tibetan plateau Station of Chinese Academy of Sciences: basic meteorological data in the station (2019-2020)

    The meteorological data are the basic meteorological data such as air temperature, relative humidity, wind speed, precipitation and air pressure observed in the observation field of Southeast Tibet station of Chinese Academy of Sciences (94.738286 ° e, 29.76562 ° n, 3326m), and the underlying surface is forest grassland. The time resolution of the original data is 10min, the air temperature, relative humidity, wind speed and air pressure are calculated by arithmetic mean, and the precipitation is the daily cumulative value. The meteorological station was set up at the end of 2006 and the probes were replaced in August 2020. Please note that the models of instrument probes before and after the update are as follows: the model of temperature and humidity probe was changed from HMP45C to hmp155; The model of air pressure probe is changed from PTB220 to ptb110; The model of wind speed sensor is changed from 034b to 0513, and the model of rain gauge sensor is rg13h The data can be used by students and researchers engaged in meteorology, atmospheric environment or ecology (Note: when using, it must be indicated in the article that the data comes from South East Tibetan Plateau station for integrated observation and research of alpine environment, CAS)

    2021-11-01 1564 84

  • Dataset of PM2.5 aerosol particle concentration at different locations on Tibetan Plateau (2018)

    Dataset of PM2.5 aerosol particle concentration at different locations on Tibetan Plateau (2018)

    This data set includes the mass concentration of atmospheric particles with the aerodynamic diameter less than 2.5 micron meters (PM2.5, unit: μg/m3), and the meteorological data such as temperature (Celsius degree), humidity (%) air pressure (hPa). PM2.5 aerosol particles can be floated in the atmosphere for a long time and can be transported to long range. It has important impact on the air quality and visibility, and is a essential index of air quality. The higher its concentration is, the more serious the air pollution. The PM2.5 data is produced at the interval of 5 min, which enable the key data for analysis on the spatiotemporal characteristics of atmospheric particles on the Tibetan Plateau on different tiem scale, such as hourly, daily, monthly and yearly.

    2019-09-12 3629 74

  • Observational data of atmospheric black carbon content in the Tibetan plateau at five stations (2019)

    Observational data of atmospheric black carbon content in the Tibetan plateau at five stations (2019)

    As the "water tower" of Asia, the Qinghai Tibet Plateau provides water resources for the main rivers in Asia. BC aerosol emitted from biomass and fossil fuel combustion has a strong absorption effect on radiation, and has an important impact on the energy budget and distribution of the earth system. It is an important influence factor of climate and environmental change. The black carbon aerosols emitted from the surrounding areas of the Qinghai Tibet Plateau can be transported to the interior of the plateau through the atmospheric circulation, and settle on the surface of snow and ice, which has an important impact on precipitation and glacier mass balance. Black carbon meters were set up at five stations on the Qinghai Tibet Plateau, and aethalometer was used to measure the black carbon content in the atmosphere online. The time resolution of the data was day by day. This data is an update of the previously released "observational data of black carbon content in the atmosphere of the Qinghai Tibet Plateau (2018)". The information of the five sites is as follows: Namco: 30 ° 46'N, 90 ° 59'e, 4730 ma.s.l Mt. Everest: 28.21 ° n, 86.56 ° e, 4276 ma. S.l Southeast Tibet: 29 ° 46'N, 94 ° 44'e, 3230 ma.s.l Ali station: 33.39 ° n, 79.70 ° e, 4270 ma. S.l Mostag: 38 ° 24'n, 75 ° 02'e, 3650 ma.s.l

    2020-07-29 2456 2

  • Meteorological observation dataset of Shiquan River Source (2012-2015)

    Meteorological observation dataset of Shiquan River Source (2012-2015)

    This dataset includes the temperature, precipitation, relative humidity, wind speed, wind direction and other daily values in the observation point of Shiquan River Source. The data is observed from July 2, 2012 to August 5, 2014, and from September 30, 2015 to December 25, 2015. It is measured by automatic meteorological station (Onset Company) and a piece of data is recorded every 2 hours. The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The original data meets the accuracy requirements of China Meteorological Administration (CMA) and the World Meteorological Organization (WMO) for meteorological observation. Quality control includes eliminating the systematic error caused by the missing point data and sensor failure. The data is stored as an excel file.

    2020-06-03 4127 367

  • Data on the concentrations of persistent organic pollutants and total suspended particulate in the atmosphere at a station in Southeast Tibet (2008-2011)

    Data on the concentrations of persistent organic pollutants and total suspended particulate in the atmosphere at a station in Southeast Tibet (2008-2011)

    This data set contains data on the concentrations of persistent organic pollutants (POPs) and total suspended particulate (TSP) in the atmosphere at a station in southeastern Tibet (Lulang). The samples were collected using an atmospheric active sampler equipped with a tandem fibreglass membrane-polyurethane foam sampling head. The gaseous POPs and TSPs were collected. The sampling period for each sample was 2 weeks. The types of observed POPs include organochlorine pesticides (OCPs), polychorinated biphenyls (PCBs), and polycyclic aromatic hydrocarbons (PAHs). Only gaseous concentrations were detected for OCPs and PCBs, while both gaseous concentrations and particulate concentrations were detected for PAHs. All of the data contained in the data set are measurement data. The samples were collected in the field at the Integrated Observation and Research Station of the Alpine Environment in Southeast Tibet. The sampler was an atmospheric flow active sampler equipped with a tandem fibreglass membrane-polyurethane foam sampling head, in which the fibreglass membrane was used to collect TSPs and the polyurethane foam was used to adsorb gaseous pollutants in the atmosphere. During the sampling period, the sampler was run every other day for approximately 24 hours each time, and each sample was collected for 2 weeks. The atmospheric volume collected for each sample was 500-700 cubic metres. Both gaseous and particulate POP samples were prepared and analysed in the Key Laboratory of Tibetan Environment Changes and Land Surface Processes, CAS. The sample preparation steps included Soxhlet extraction, silica-alumina column purification, removal of macromolecular impurities by a GPC column, concentration to a defined volume, etc. The analytical test instrument was a gas chromatography/ion trap mass spectrometer (Finnigan-TRACE GC/PolarisQ) produced by Thermo Fisher Scientific. The column used to separate OCPs and PCBs was a CP-Sil 8CB capillary column (50 m × 0.25 mm × 0.25 μm), and the column used to separate PAHs was a DB-5MS capillary column (60 m x 0.25 mm x 0.25 μm). The total suspended particulate concentration in the atmosphere was determined by the gravimetric method, and the accuracy of the weighing balance was 1/100,000 g. The field samples were subjected to strict quality control with laboratory blanks and field blanks. The detection limit of a given compound was 3 times the standard deviation of the concentration of the corresponding compound in the field blank; if the compound was not detected in the field blank, the detection limit of the method was determined by the lowest concentration of the working curve. For a sample, concentrations above the detection limit of the method are corrected by subtracting the detection limit; concentrations below the detection limit of the method but higher than 1/2 times the detection limit are corrected by subtracting half the method detection limit; and concentrations below 1/2 times the detection limit are considered undetected. The recovery rate of PAH laboratory samples was between 65-120%, and that of OCPs was between 70-130%; the sample concentrations were not corrected by the recovery rate. In the table, undetected data are marked as BDL; data marked in black italics are data corrected by subtracting 1/2 the method detection limit.

    2019-09-15 2522 314

  • Meteorological observation data of the terminus of Naimona'nyi Glacier (2011-2017)

    Meteorological observation data of the terminus of Naimona'nyi Glacier (2011-2017)

    This data set includes the temperature, relative humidity, and other daily values at the end of the observation point of the terminus of Naimona’nyi Glacier The data is observed from July 3, 2011 to September 15, 2017. It is measured by automatic meteorological station (Onset Company) and a piece of data is recorded every 60minutes. The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The original data meets the accuracy requirements of China Meteorological Administration (CMA) and the World Meteorological Organization (WMO) for meteorological observation. Quality control includes eliminating the systematic error caused by the missing point data and sensor failure. The data is stored as an excel file.

    2019-11-17 2877 339

  • Meteorological Datasets of Xidatan station (XDT) on the Tibetan Plateau in 2014-2018

    Meteorological Datasets of Xidatan station (XDT) on the Tibetan Plateau in 2014-2018

    This dataset is Meteorologic Elements Dataset of XDT on Qinghai-Tibet Plateau 2014-2018. Meteorologic elements including: 2m air temperature(℃), 2m air humidity(%), precipitation(mm), 2m wind speed(m/s), global radiation(w/㎡). The data are from the XiDaTan monitoring site(site code: XDTMS) of Cryosphere Research Station on Qinghai-Tibat Plateau, Chinese Academy of Sciences(CRS-CAS). These daily data was calculated from the original monitoring data(monitoring frequency is 30min). The missing part of the daily data was marked by NAN, which were manually collated and verified. The missing period was from 2017-7-7 to 2017-10-3.

    2022-04-18 3481 337

  • Observation dataset of the hydrologic station on the Rongbu River glacier of mount everest (2010)

    Observation dataset of the hydrologic station on the Rongbu River glacier of mount everest (2010)

    This is the flow data set observed in 2010 by the glacier hydrological station in the upper reaches of the Rongbu River on Mount Everest, Tibet. The measured section position is 28º22'03''N, 86º56'53' 'E, with an altitude of 4290 meters. It is measured by an LS20B propeller-type current meter by the one-point method. All the data were observed and collected in strict accordance with the Equipment Operating Specifications.

    2019-09-14 2868 367