The Second Tibetan Plateau Scientific Expedition (STEP) program

Brief Introduction: Second Tibetan Plateau Scientific Expedition Program

Number of Datasets: 51

  • Flow discharge observation data of Selincuo Lake’s inflow river - Boquzangbu (2017)

    Flow discharge observation data of Selincuo Lake’s inflow river - Boquzangbu (2017)

    This is the flow discharge observation data observed in the estuary of Boquzangbu, which is Selincuo Lake’s inflow river. It is measured by Flow Tracker 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 observation includes time, location, depth of water, water flow rate, and water flow discharge. The data is stored as an excel file.

    2019-11-18 630 7 View Details

  • 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 1059 22 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.

    2019-11-18 670 1 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.

    2019-11-18 606 3 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.

    2019-11-18 636 3 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.

    2019-11-18 676 9 View Details

  • Precipitation observation data of the east bank of Selincuo Lake (2016-2017)

    Precipitation observation data of the east bank of Selincuo Lake (2016-2017)

    This is the precipitation observation data set of the east bank of Selincuo Lake. It can be used in Glaciology, Climatology, Environmental Change, Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed from September 1, 2016 to August 17, 2017. It is measured by automatic rain gauge 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.

    2019-11-18 674 13 View Details

  • Precipitation observation data on Taerma Township (2016-2017)

    Precipitation observation data on Taerma Township (2016-2017)

    This is the precipitation observation data of the observation point in Taerma Township. It can be used in Glaciology, Climatology, Environmental Change, Hydrologic Process in Cold Regions and other disciplinary areas. The data is observed from September 15, 2016 to August 17, 2017. It is measured by automatic rain gauge 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.

    2019-11-18 687 3 View Details

  • Meteorological observation data of Selincuo Lake camp (2017)

    Meteorological observation data of Selincuo Lake camp (2017)

    This is the meteorological observation data of Selincuo Lake Camp. It includes the radiosonde data, turbulent flux, radiation observation data, general meteorologrical elements near the surface layer and others. The radiosonde data is observed separately at 14:00 and 18:00 July 2, at 8:00, 12:00, 16:00 and 20:00 July 3, at 8:00, 12:00, 16:00, 20:00, and 23:00 July 4, at 6:00 July 5, 2017. The observation time of turbulent flux and radiation observation data is from 17:30 June 29 to 10:00 July 6, 2017. The observation time of general meteorologrical elements near the surface layer is from 18:30 June 29 to 10:10 July 6, 2017. The wind lidar observation time is from 2:24 June 30 to 3:49 July 6, 2017. The data is stored as an excel file.

    2019-11-18 837 13 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.

    2019-11-18 706 14 View Details

  • Bathymetric data of Renqingxiubucuo Lake (2017)

    Bathymetric data of Renqingxiubucuo Lake (2017)

    This data set is the measurement of the depth of Renqingxiubucuo Lake during the River and Lake Source Investigation in 2017. It can be used to map lake isobath, to estimate the water quantities in lakes and to study water balance of the basin. The data is observed on September 1, 2017. It was measured by the Lowrance HDS-5 sonar depth finder. The original measured data contains a lot of invalid depth data, which has all been eliminated in the post-selecting process. The selected measuring line is reasonable, and the data covers various depth gradients. The data is stored as an excel file.

    2019-11-18 718 4 View Details

  • Bathymetric data of Mapam Yumco Lake (2017)

    Bathymetric data of Mapam Yumco Lake (2017)

    This data set is the measurement of the depth of Mapam Yumco Lake during the River and Lake Source Investigation in 2017. It can be used to map lake isobath, to estimate the water quantities in lakes and to study water balance of the basin. The data observed time is from September 5, 2017 to September 7, 2017. It was measured by the Lowrance HDS-5 sonar depth finder. The original measured data contains a lot of invalid depth data, which has all been eliminated in the post-selecting process. The selected measuring line is reasonable, and the data covers various depth gradients. The data is stored as an excel file.

    2019-11-18 612 4 View Details

  • Bathymetric data of Laangcuo Lake (2017)

    Bathymetric data of Laangcuo Lake (2017)

    This data set is the measurement of the depth of Laangcuo Lake during the River and Lake Source Investigation in 2017. It can be used to map lake isobath, to estimate the water quantities in lakes and to study water balance of the basin. It was measured by the Lowrance HDS-5 sonar depth finder. The original measured data contains a lot of invalid depth data, which has all been eliminated in the post-selecting process. The selected measuring line is reasonable, and the data covers various depth gradients. The data is stored as an excel file.

    2019-11-18 603 5 View Details

  • Bathymetric Data of Ngangla Ringco Lake (2017)

    Bathymetric Data of Ngangla Ringco Lake (2017)

    This data set is the measurement of the depth of Ngangla Ringco Lake during the River and Lake Source Investigation in 2017. It can be used to map lake isobath, to estimate the water quantities in lakes and to study water balance of the basin. The data observation time is from August 29, 2017 to August 30, 2017. It is measured by the Lowrance HDS-5 sonar depth finder. The original measured data contains a lot of invalid depth data, which has all been eliminated in the post-selecting process. The selected measuring line is reasonable, and the data covers various depth gradients. The data is stored as an excel file.

    2019-11-18 803 3 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 1025 9 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.

    2019-11-18 852 10 View Details

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

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

    This is the water quality multi-parameter data set of Laangcuo Lake during the River and Lake Source Investigation in 2017. It can be 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 September 8, 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 0.25 s. To ensure the data is 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 1022 10 View Details

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

    Water quality multi-parameter dataset of Mapam Yumco Lake (2017)

    This is the water quality multi-parameter data set of Mapam Yumco 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 time is from September 4, 2017 to September 7, 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.

    2019-11-18 852 7 View Details

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

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

    This is the water quality multi-parameter data set of Renqingxiubucuo Lake. It can be 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 September 1 2017. It was 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 0.25 s. To ensure the data is 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.

    2019-11-18 857 11 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 ‰.

    2019-11-18 718 6 View Details