The Second Tibetan Plateau Scientific Expedition (STEP) program

Brief Introduction: Second Tibetan Plateau Scientific Expedition Program

Number of Datasets: 51

  • Observation data of melting water flow in Jiagang snow mountain of Selinco Watershed (2016)

    Observation data of melting water flow in Jiagang snow mountain of Selinco Watershed (2016)

    This dataset is the spatial distribution map of the marshes in the source area of the Yellow River near the Zaling Lake-Eling Lake, covering an area of about 21,000 square kilometers. The data set is classified by the Landsat 8 image through an expert decision tree and corrected by manual visual interpretation. The spatial resolution of the image is 30m, using the WGS 1984 UTM projected coordinate system, and the data format is grid format. The image is divided into five types of land, the land type 1 is “water body”, the land type 2 is “high-cover vegetation”, the land type 3 is “naked land”, and the land type 4 is “low-cover vegetation”, and the land type 5 is For "marsh", low-coverage vegetation and high-coverage vegetation are distinguished by vegetation coverage. The threshold is 0.1 to 0.4 for low-cover vegetation and 0.4 to 1 for high-cover vegetation.

    2019-11-18 1391 23 View Details

  • Water quality multi-parameter dataset of Chakarejue Lake (2017)

    Water quality multi-parameter dataset of Chakarejue Lake (2017)

    This is the water quality multi-parameter data set of Chakarejue Lake during the River and Lake Source Investigation in 2017.It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data is observed on August 30, 2017. It is measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25s. To ensure the data is frequently and continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.

    2019-11-18 1574 11 View Details

  • Precipitation observation data of the Qiang-Tang Plateau (2017)

    Precipitation observation data of the Qiang-Tang Plateau (2017)

    This is the rain gauge precipitation observation data along Bange-Ali line in the Qiang-tang Plateau. It can be used to evaluate and improve the quality of satellite precipitation products, thereby improving the estimation accuracy of precipitation in the Qiangtang Plateau. The data is observed from June 19, 2016 to September 24, 2017. And a piece of data is recorded every 60 minutes. 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.

    2019-11-18 870 11 View Details

  • Water quality slope data of Co Ngoin Lake (2017)

    Water quality slope data of Co Ngoin Lake (2017)

    These are the water quality vertical slope data of Co Ngoin Lake obtained during the River and Lake Source Investigation from June to July in 2017. The main water quality observation data include dissolved oxygen, electrical conductivity, PH, water temperature and others.

    2019-11-18 1011 11 View Details

  • Water quality data of the Selincuo Lake (2017)

    Water quality data of the Selincuo Lake (2017)

    This data set includes the vertical profile water quality data from the observation point of Selincuo Lake. The data is observed on June 21, 2017 and June 22, 2017. The data is stored as an excel file.

    2020-06-03 1042 24 View Details

  • Slopes-Runoff observation dataset of Selincuo Basin (2017)

    Slopes-Runoff observation dataset of Selincuo Basin (2017)

    This is the slopes-runoff observation data set in typical underlying surface runoff fields of Selincuo Basin. It can be used in Hydrologic Process in Cold Regions, Geocryology and other disciplinary areas. The underlying surface of the observation point is the typical alpine steppe. The data is observed on July 2, August 10, August 17, August 26, August 30, September 1, September 2, September 3, and September 4, 2017. The observation includes the rainfall time, rainfall duration, rainfall, average rainfall, runoff, and the runoff coefficient. The precipitation duration is accurate to minute, the precipitation observation is accurate to 0.1mm, and the runoff observation is converted to mm, which is accurate to 0.01mm.The original data forms a continuous time series after quality control, and the daily mean index data is obtained through calculation. The data is stored as an excel file.

    2019-11-18 1513 14 View Details

  • 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 1771 13 View Details

  • Flow discharge observation data of Zhaqu bridge in the upper Selincuo Lake’s inflow river Zhajiazangbu (2017)

    Flow discharge observation data of Zhaqu bridge in the upper Selincuo Lake’s inflow river Zhajiazangbu (2017)

    This is the flow discharge observation data of Zhaqu Bridge, which is in the upper Selincuo Lake’s inflow river Zhajiazangbu. It is measured by HS-2 portable hydrological flow rate meter. It can be used in Hydrologic Process in Cold Regions and other disciplinary areas. The data is acquired on August 14, 2017. The data includes time, location, depth of water, water flow rate, and water flow discharge. The data is stored as an excel file.

    2019-11-18 1427 6 View Details

  • Flux observation data of alizangbu, the inflow river of Selincuo (2017)

    Flux observation data of alizangbu, the inflow river of Selincuo (2017)

    The data set is the flux data of the Alizangbu lake inlet obtained using the HS-2 portable hydrological velocity and flow meter, which can be applied to the hydrological processes and other fields in the cold areas. The data were obtained on August 16, 2017, and the data include measurement time, location, water depth, velocity and flow rate. The data are stored as an excel file.

    2019-11-18 1700 1 View Details

  • Water quality dataset of Pusaiercuo Lake (2017)

    Water quality dataset of Pusaiercuo Lake (2017)

    This is the water quality data of the vertical profile of the observation point in Pusaiercuo Lake. The data is observed on July 2, 2017. The data is stored as an excel file.

    2020-06-03 1031 12 View Details

  • Hydrogen and Oxygen isotope data of water collected in river and lake source (2017)

    Hydrogen and Oxygen isotope data of water collected in river and lake source (2017)

    This data set is the the hydrogen and oxygen isotope ratio data of water samples collected in the Ngangla Ringco, Renqingxiubucuo, Mapam Yumco, and Laangcuo during the River and Lake Source Investigation in 2017. It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes environment research. The water sample collection time is from August 2017 to September 2017. The sampling sites are Ngangla Ringco, Renqingxiubucuo, Mapam Yumco, and Laangcuo. The data is measured by the Environmental Laboratory of the Institute of Tibetan Plateau Research. The instrument used is the wavelength scanning cavity ring-down spectrometer made by the American Company Picarro. Each sample is measured twice and two data is obtained when measured. The average of the two data for the same indicator for each sample is used when analyzing. Test accuracy: (standard deviation, SD): δO18 ≤ 0.15 ‰, δD ≤ 1.0 ‰.

    2019-11-18 1010 9 View Details

  • Flow discharge observation data of Selincuo Lake's Inflow River Zhagenzangbu (2017)

    Flow discharge observation data of Selincuo Lake's Inflow River Zhagenzangbu (2017)

    This is the flow discharge observation data observed in the estuary of Zhagenzangbu, which is Selincuo Lake’s inflow river. It is measured by HS-2 portable hydrological flow rate meter. It can be used in Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed on August 16, 2017. The data includes time, location, depth of water, water flow rate, and water flow discharge. The data is stored as an excel file.

    2019-11-18 910 1 View Details

  • Water quality slope data of Selincuo Lake (2017)

    Water quality slope data of Selincuo Lake (2017)

    This is the water quality vertical slope data of Selincuo Lake during the River and Lake Source Investigation from June to July in 2017. The main water quality parameter observation data includes dissolved oxygen, electrical conductivity, PH, water temperature and others.

    2019-11-18 764 11 View Details

  • Water quality dataset of Zigetangcuo Lake (2017)

    Water quality dataset of Zigetangcuo Lake (2017)

    This is the water quality data of the vertical profile of the observation point in Zigetangcuo Lake. The data is observed on July 8, 2017. The data is stored as an excel file.

    2019-11-18 2005 26 View Details

  • Water quality multi-parameter dataset of Ngangla Ringco Lake (2017)

    Water quality multi-parameter dataset of Ngangla Ringco Lake (2017)

    This is the water quality multi-parameter data set of Ngangla Ringco Lake during the River and Lake Source Investigation in 2017. It is used to acquire basic physical and chemical indices of lakes. And it can prepare for the following modern observation studies of lakes. The data observed dates from August 29, 2017 to August 30, 2017. It is measured by the YSI EXO2 multi-parameter water quality instrument. Instrument calibration is made before each measurement based on the altitude of the lake and the local pressure. The measuring interval is 0.25s. To ensure the data is frequently and continuously acquired, the instrument is slowly released. The original data includes data measured above the water surface, which is exposed to the air, and it has all been eliminated in the post processing. The data is stored as an excel file.

    2019-11-18 2328 11 View Details

  • 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.

    2019-11-18 987 10 View Details

  • Flow discharge observation data over Zhajiazangbu Inflow river of Selincuo Lake (2017)

    Flow discharge observation data over Zhajiazangbu Inflow river of Selincuo Lake (2017)

    This is the flow discharge observation data observed in the estuary of Zhagenzangbu. It is measured by HS-2 portable hydrological flow rate meter. It can be used in Hydrologic Process in Cold Regions and other disciplinary areas. The data is acquired on August 15, 2017. The data includes time, location, depth of water, water flow rate, and water flow discharge. The data is stored as an excel file.

    2019-11-18 2216 4 View Details

  • Water quality dataset of Bamucuo (2017)

    Water quality dataset of Bamucuo (2017)

    This is the water quality data of the vertical profile of the observation point in Bamucuo Lake. The data is observed on July 11, 2017. The data is stored as an excel file.

    2019-11-18 1395 11 View Details

  • Soil temperature and moisture observation data of the Yarlung Zangbo River Basin (2017)

    Soil temperature and moisture observation data of the Yarlung Zangbo River Basin (2017)

    This data set includes four soil temperature and moisture instrument observation points in the source area of the Yarlung Zangbo River Basin, that is Xietongmen County, Angren County, Saga County and Zhongba County. The observation time is from August 23 to December 10, 2017. And the observation interval is 10 minutes. There are 4 layers of depth of observation,which is 10cm, 40cm, 80cm and 120cm.The specific observation location and time range are as follows. Saga Bridge From 12:50:00 August 31, 2017 to 17:20:00 December 10, 2017 Maquan River Bridge From 19:30:00 August 30, 2017 to 13:10:00 December 10, 2017 Duoxiongzangbu From 17:20:00 August 24, 2017 to 12:20:00 December 8, 2017 Pangdaya River Bridge From 11:30:00 August 23, 2017 to 9:10:00 December 4, 2017 The soil moisture data is accurate to 3 digits after decimal point. The soil temperature data is accurate to 1 digit after decimal point. Quality control includes eliminating the data when the sensor is not fully adapted to the soil environment and system errors caused by sensor failure. The data is stored as an excel file.

    2019-11-18 2174 26 View Details

  • Glacier temperature dataset of Xiaodong Kemadi (2012-2015)

    Glacier temperature dataset of Xiaodong Kemadi (2012-2015)

    This is the daily temperature observation data set of 6 points in Xiaodong Kemadi, 4 points in Yangbajing, and 4 points in Hariqin during 2012-2015.

    2019-11-23 1636 3 View Details