Dataset of reconstructed terrestrial water storage in China based on precipitation(2002-2019)

This data set takes China as the research area, and the data set includes "decimal"_ time”, “lat”, “lon”, “time”, “time_ bounds”, “TWSA_ REC "and" uncertainty "have 7 parameters in total. Among them, "decimal"_ "Time" corresponds to decimal time, which is 191 months from April 2002 to December 2019; "LAT" corresponds to the latitude range of data; "lon" corresponds to the longitude range of data; "time" corresponds to the annual product day of data from January 1, 2002; "time" refers to the annual product day of data from January 1, 2002_ The corresponding date of the year and the end of each month. “TWSA_ "REC" is the monthly change of China's regional land water reserves from April 2002 to December 2019; "uncertainty" is the uncertainty between the data and CSR rl06 mascon products. Using grace satellite gravity data CSR grace / grace-fo rl06 mascon solutions (version 02), China Daily grid precipitation real-time analysis system (version 1.0) data, and cn05.1 temperature data sets, the precipitation reconstruction model was established, and the seasonal and trend terms of CSR rl06 mascon products were considered to obtain the data set of land water storage change based on precipitation reconstruction in China. The data quality is good as a whole, and the error of most regions in China is within 5cm. This data set complements the more than one year data gap between grace and grace-fo satellites, and provides a complete time series for long-term land water storage change analysis in China. As the CSR rl06 mascon product, the average value between 2004.0000 and 2009.999 is deducted from this data set. Therefore, the data of 164-174 months (i.e. July 2017 to may 2018) of this data set can be directly extracted as the estimation of land water storage change in the intermittent period.

0 2020-10-27

The dataset of spatio-temporal water resources distribution in the source regions of Yangtze River and Yellow River (1998-2017)

This data is a simulated output data set of 5km monthly hydrological data obtained by establishing the WEB-DHM distributed hydrological model of the source regions of Yangtze River and Yellow River, using temperature, precipitation and pressure as input data, and GAME-TIBET data as verification data. The dataset includes grid runoff and evaporation (if the evaporation is less than 0, it means deposition; if the runoff is less than 0, it means that the precipitation in the month is less than evaporation). This data is a model based on the WEB-DHM distributed hydrological model, and established by using temperature, and precipitation (from itp-forcing and CMA) as input data, GLASS, MODIA, AVHRR as vegetation data, and SOILGRID and FAO as soil parameters. And by the calibration and verification of runoff,soil temperature and soil humidity, the 5 km monthly grid runoff and evaporation in the source regions of Yangtze River and Yellow River from 1998 to 2017 was obtained. If asc can't open normally in arcmap, please delete the blacks space of the top 5 lines of the asc file.

0 2020-09-30

Hydrogen and oxygen stable isotope data set of Kathmandu precipitation (2016-2018)

Precipitation stable isotopes (2H and 18O) are adequately understood on their climate controls in the Tibetan Plateau, especially the north of Himalayas via about 30 years’ studies. However, knowledge of controls on precipitation stable isotopes in Nepal (the south of Himalayas), is still far from sufficient. This study described the intra-seasonal and annual variations of precipitation stable isotopes at Kathmandu, Nepal from 10 May 2016 to 21 September 2018 and analysed the possible controls on precipitation stable isotopes. All samples are located in Kathmandu, the capital of Nepal (27 degrees north latitude, 85 degrees east longitude), with an average altitude of about 1400 m. Combined with the meteorological data from January 1, 2001 to September 21, 2018, the values of precipitation (P), temperature (T) and relative humidity (RH) are given.

0 2020-09-22

Water temperature observation data at Nam Co Lake in Tibet (2011-2014)

This data includes the daily average water temperature data at different depths of Nam Co Lake in Tibet which is obtained through field monitoring. The data is continuously recorded by deploying the water quality multi-parameter sonde and temperature thermistors in the water with the resolution of 10 minutes and 2 hours, respectively, and the daily average water temperature is calculated based on the original observed data. The instruments and methods used are very mature and data processing is strictly controlled to ensure the authenticity and reliability of the data; the data has been used in the basic research of physical limnology such as the study of water thermal stratification, the study of lake-air heat balance, etc., and to validate the lake water temperature data derived from remote sensing and different lake models studies. The data can be used in physical limnology, hydrology, lake-air interaction, remote sensing data assimilation verification and lake model research.

0 2020-03-16

10 m meteorological gradient data set of hulugou basin (2012)

1. Data overview: This data set is the scale meteorological gradient data of qilian station from January 1, 2012 to December 31, 2012 (installed at the end of September 2011).VG1000 gradient observation system carries out long-term monitoring of wind speed, wind direction, air temperature, humidity, radiation and other conventional meteorological elements, and carries out data storage and processing analysis in combination with the data collector with high precision and high scanning frequency. 2. Data content: The main observation factors include four layers of air temperature, humidity and two-dimensional ultrasonic wind, rain and snow volume meter, eight layers of ground temperature, soil moisture content, etc. 3. Space and time range: Geographical coordinates: longitude: longitude: 99° 52’e;Latitude: 38°15 'N;Height: 3232.3 m

0 2020-03-10

Dataset obtained from 4 levels on 10m meteorological tower in Hulugou sub-basin of alpine Heihe River (2013)

1. Data overview: This data set is the scale meteorological gradient data of qilian station from January 1, 2013 to December 31, 2013 (installed at the end of September 2011).VG1000 gradient observation system carries out long-term monitoring of wind speed, wind direction, air temperature, humidity, radiation and other conventional meteorological elements, and carries out data storage and processing analysis in combination with the data collector with high precision and high scanning frequency. 2. Data content: The main observation factors include four layers of air temperature, humidity and two-dimensional ultrasonic wind, rain and snow volume meter, eight layers of ground temperature, soil moisture content, etc. 3. Space and time range: Geographical coordinates: longitude: longitude: 99° 52’e;Latitude: 38°15 'N;Height: 3232.3 m

0 2020-03-10