Hydrological data of Kafinigan hydrological station in Amu Darya River Basin,Central Asia (2020)

This data is from the hydrological station of kafinigan River, a tributary of the upper Amu Darya River. The station is jointly built by Urumqi Institute of desert meteorology of China Meteorological Administration, Institute of water energy and ecology of Tajik National Academy of Sciences and Tajik hydrometeorological Bureau. The data can be used for scientific research such as water resources assessment and water conservancy projects in Central Asia. Data period: November 3, 2019 to December 3, 2020. Data elements: Hourly velocity (M / s), hourly water level (m) and hourly rainfall (m). Site location: 37 ° 36 ′ 01 ″ n, 68 ° 08 ′ 01 ″ e, 420m 1、 300w-qx River velocity and water level observation instrument (1) Flow rate parameters: 1 power supply voltage 12 (9 ~ 27) V (DC) The working current is 120 (110 ~ 135) MA 3 working temperature (- 40 ~ 85) ℃ 4 measurement range (0.15 ~ 20) m / S The measurement accuracy is ± 0.02m/s The resolution is less than 1 mm The detection range is less than 0.1 ~ 50 m 8 installation height 0.15 ~ 25 m 9 sampling frequency < 20sps (2) Water level parameters: 1 measuring range: 0.5 ~ 20 m The measurement accuracy is ± 3 mm The resolution is less than 1 mm The repeatability was ± 1 mm 2、 SL3-1 tipping bucket rain sensor 1. Water bearing diameter Φ 200mm 2. The measured precipitation intensity is less than 4mm / min 3. Minimum precipitation of 0.1 mm 4. The maximum allowable error is ± 4% mm 3、 Flow velocity, frequency of data acquisition of the observation instrument: the sensor measures the flow velocity and water level data every 5S 4、 Calculation of hourly average velocity: the hourly average velocity and water level data are obtained from the average of all the velocity and water level data measured every 5S within one hour 5、 Description of a large number of values of 0 in water level data: the value of 0 in water level data is caused by power failure and restart of sensor due to insufficient power supply. The first data of initial start-up is 0, resulting in the hourly average value of 0. After the power supply transformation on July 26, 2020, the data returned to normal. At the end of September 2020, the power supply began to be insufficient. After the secondary power supply transformation on December 25, 2020, the data returned to normal 6、 Description of water level monitoring (such as line 7358, 2020 / 11 / 3, 16:00, maximum water level 6.7m, minimum water level 0m, how to explain? In addition, the maximum value of the highest water level is 6.7m, which appears many times in the data. It seems that 6.7m is the limit value of the monitoring data. Is this the case? ): 6.7m is the height from the initial sensor to the bottom of the river bed. The appearance of 6.7m is the abnormal data when the sensor is just started. The sensor is restarted due to the power failure caused by the insufficient power supply of the equipment. This abnormal value appears in the initial start-up. After the power supply transformation on December 25, 2020, the data returns to normal

0 2021-03-09

Hydrological data of Central Asia's SYR River Basin (2020)

This data is the hydrological data of kuzhan hydrological station in the middle reaches of the Xier river. The station is jointly built by Urumqi Institute of desert meteorology of China Meteorological Administration, Institute of water energy and ecology of Tajik National Academy of Sciences and Tajik hydrometeorological Bureau. The data can be used for scientific research such as water resources assessment and water conservancy projects in Central Asia. Data period: November 2, 2019 to December 5, 2020. Data elements: Hourly velocity (M / s), hourly water level (m) and hourly rainfall (m) Site location: 40 ° 17 ′ 38 ″ n, 69 ° 40 ′ 18 ″ e, 320m 1、 300w-qx River velocity and water level observation instrument (1) Flow rate parameters: 1 power supply voltage 12 (9 ~ 27) V (DC) The working current is 120 (110 ~ 135) MA 3 working temperature (- 40 ~ 85) ℃ 4 measurement range (0.15 ~ 20) m / S The measurement accuracy is ± 0.02m/s The resolution is less than 1 mm The detection range is less than 0.1 ~ 50 m 8 installation height 0.15 ~ 25 m 9 sampling frequency < 20sps (2) Water level parameters: 1 measuring range: 0.5 ~ 20 m The measurement accuracy is ± 3 mm The resolution is less than 1 mm The repeatability was ± 1 mm 2、 SL3-1 tipping bucket rain sensor 1. Water bearing diameter Φ 200mm 2. The measured precipitation intensity is less than 4mm / min 3. Minimum precipitation of 0.1 mm 4. The maximum allowable error is ± 4% mm 3、 Flow velocity, frequency of data acquisition of the observation instrument: the sensor measures the flow velocity and water level data every 5S 4、 Calculation of hourly average velocity: the hourly average velocity and water level data are obtained from the average of all the velocity and water level data measured every 5S within one hour 5、 Description of a large number of values of 0 in water level data: the value of 0 in water level data is caused by power failure and restart of sensor due to insufficient power supply. After restart, the first data is 0, resulting in the hourly average value of 0. On December 5, 2019, the power supply will return to normal after transformation 6、 There are some missing and - 8.191mm abnormal data in rainfall data, which should be eliminated and explained. Data missing 4.10-5.3 data, supplemented, - 8.191mm, similar abnormal data has been marked

0 2021-03-09

Simulation results of eco hydrological model in the middle and lower reaches of Heihe river v1.0 (2001-2012)

This project use distributed HEIFLOW Ecological hydrology model (Hydrological - Ecological Integrated watershed - scale FLOW model) of heihe river middle and lower reaches of the eco Hydrological process simulation.The model USES the dynamic land use function, and adopts the land use data of the three phases of 2000, 2007 and 2011 provided by hu xiaoli et al. The space-time range and accuracy of simulation are as follows: Simulation period: 2000-2012, of which 2000 is the model warm-up period Analog step size: day by day Simulation space range: the middle and lower reaches of heihe river, model area 90589 square kilometers Spatial accuracy of the simulation: 1km×1km grid was used on both the surface and underground, and there were 90589 hydrological response units on the surface.Underground is divided into 5 layers, each layer 90589 mobile grid The data set of HEIFLOW model simulation results includes the following variables: (1) precipitation (unit: mm/month) (2) observed values of main outbound runoff in the upper reaches of heihe river (unit: m3 / s) (3) evapotranspiration (unit: mm/month) (4) soil infiltration amount (unit: mm/month) (5) surface yield flow (unit: mm/month) (6) shallow groundwater head (unit: m) (7) groundwater evaporation (unit: m3 / month) (8) supply of shallow groundwater (unit: m3 / month) (9) groundwater exposure (unit: m3 / month) (10) river-groundwater exchange (unit: m3 / month) (11) simulated river flow value of four hydrological stations of heihe main stream (gaoya, zhengyi gorge, senmaying, langxin mountain) (unit: cubic meter/second) The first two variables above are model-driven data, and the rest are model simulation quantities.The time range of all variables is 2001-2012, and the time scale is month.The spatial distributed data precision is 1km×1km, and the data format is tif. In the above variables, if the negative value is encountered, it represents the groundwater excretion (such as groundwater evaporation, groundwater exposure, groundwater recharge channel, etc.).If groundwater depth is required, the groundwater head data can be subtracted from the surface elevation data of the model. In some areas, the groundwater head may be higher than the surface, indicating the presence of groundwater exposure. In addition, the dataset provides: Middle and downstream model modeling scope (format:.shp) Surface elevation of the middle and downstream model (in the format of. Tif) All the above data are in the frame of WGS_1984_UTM_Zone_47N. Take heiflow_v1_et_2001m01.tif as an example to illustrate the naming rules of data files: HEIFLOW: model name V1: data set version 1.0 ET: variable name 2001M01: January 2000, where M represents month

0 2020-07-28

Runoff dataset in Hulugou outlet of Qilian station in the upstream of Heihe River (2011)

1. Data overview: this data set is the total surface runoff of hulugou drainage basin controlled by the outlet hydrological section of Qilian station from January 1, 2011 to November 2, 2011. 2. Data content: the flow data of the hydrological section at the outlet of hulugou, and the flow of the hydrological section at the outlet of the drainage basin is regularly observed at 08:00, 14:00 and 20:00 every day (the ls45a rotating cup type current meter produced by Chongqing Huazheng Hydrological Instrument Co., Ltd. is used for measurement). At the same time, hobo pressure water level gauge is used to monitor the change of water level in real time and establish the relationship between water level and discharge. 3. Space time scope: geographic coordinates: longitude: 99 ° 53 ′ E; latitude: 38 ° 16 ′ n; altitude: 2962.5m.

0 2020-03-11

Runoff dataset in Hulugou outlet of Qilian station in the upstream of the Heihe River (2012)

1. Data overview: this data set is the total surface runoff of hulugou drainage basin controlled by the outlet hydrological section of Qilian station from January 1, 2012 to December 1, 2012. 2. Data content: at 08:00, 14:00 and 20:00 every day, the flow rate and water level change of the outlet hydrological section of hulugou River Basin are regularly observed (the flow rate is measured by ls45a rotating cup type flow meter produced by Chongqing Huazheng Hydrological Instrument Co., Ltd., and the water level change is monitored in real time by hobo pressure type water level meter), the water level flow relationship is established, and the outlet flow of the river basin is calculated. 3. Space time scope: geographic coordinates: longitude: 99 ° 53 ′ E; latitude: 38 ° 16 ′ n; altitude: 2962.5m.

0 2020-03-11

Runoff dataset in Hulugou outlet of Qilian Station in upstream of the Heihe River (2013)

1. Data overview: this data set is the total surface runoff of hulugou drainage basin controlled by the outlet hydrological section of Qilian station from January 1, 2013 to December 31, 2013. 2. Data content: at 08:00, 14:00 and 20:00 every day, the flow rate and water level change of the outlet hydrological section of hulugou River Basin are regularly observed (the flow rate is measured by ls45a rotating cup type flow meter produced by Chongqing Huazheng Hydrological Instrument Co., Ltd., and the water level change is monitored in real time by hobo pressure type water level meter), the water level flow relationship is established, and the outlet flow of the river basin is calculated. 3. Space time scope: geographic coordinates: longitude: 99 ° 53 ′ E; latitude: 38 ° 16 ′ n; altitude: 2962.5m.

0 2020-03-11

Water level and water temperature data for Ranwu Lake in Southeast Tibet (2009-2017)

This data set contains the daily values of water temperature and water level change in Ranwu Lake in Tibet from May 15, 2009, to December 31, 2016. Observation instrument model: an automatic HOBO water level and temperature logger U20-001-01; acquisition time: 30 minutes. The data were collected automatically. The observations and data collection were performed in strict accordance with the instrument operating specifications, and the data have been published in relevant academic journals. Data with obvious errors were removed, and the missing data were replaced by null values. Data collection location: Ranwu Lake, southeast Tibet Middle lake outlet: longitude: 96°46'16"; latitude: 29°29'28"; elevation: 3928 m. Lower Lake outlet: longitude: 96°38'52"; latitude: 29°28'52"; elevation: 3923 m. Laigu upper Lake: longitude: 94°49'49"; latitude: 29°18'07"; elevation: 4025 m. This data contains fileds as follows: Field 1: Site Number Data type: Alphanumeric characters (50) Field 2: Time Data type: Date type Field 3: Water temperature, °C Data type: Double-precision floating-point format Field 4: Relative water level, cm Data type: Double-precision floating-point format

0 2020-01-10

High-temporal-resolution water level and storage change data sets for lakes on the Tibetan Plateau during 2000-2017

The Tibetan Plateau, featuring the most extensive lake distribution in China, has seen rapid expansion of most its lakes. These lakes are important nodes for regional water and energy cycles, and highly sensitive to climate change. It is therefore imperative to unravel lake water storage changes under climate variation and change to improve the understanding of mechanisms of the interactions between regional hydrology and climate and their changes. This developed data set provides water level, hypsometric curves, and lake storage changes for 52 large lakes across the TP from 2000 to 2017, comprising traditional altimetry water levels and a unique source of information termed as the optical water levels derived from tremendous amounts of Landsat archives using Google Earth Engine. Field experiments agree with the theoritical analysis that the uncertainty of optical water level is 0.1 - 0.2 m, comparable with that of altimetry water level. The uncertainty of altimetry water level is represented by the standard deviation of water levels obtained from effective footprints of the same cycle, which is included in the dataset. This dataset is applicable in water resource and security management, lake basin hydrological analysis, water balance analysis and the like. For instance, it has great potential in monitoring lake overflow flood.

0 2019-11-13

The lake level observation data of Lake Namco from the Integrated Observation and Research Station of Multisphere in Namco (2007-2016)

The daily lake level observation data of lake Namco obtained from the Integrated Observation and Research Station of Multisphere in Namco in summers during 2007 to 2016. Every winter, the water gauge is destroyed by the lake ice, and it is reinstalled every summer. Taking the observational data (beginning with 0 cm) of the beginning of every year as a reference, an observational sequence is generated every year. The data set was processed by forming a continuous time series after the raw data were quality-controlled to meet the needs of lake hydrology research. Water level, unit: cm.

0 2019-09-15