Based on the monthly precipitation data of 262 rain gauges, WRF and ERA5 precipitation data in the Yarlung Zangbo River basin, the daily precipitation data with a resolution of 10km from 1951 to 2020 in the Yarlung Zangbo River basin and seven sub basins are reconstructed using random forest learning algorithm. This data has been verified by the single point of the station and performs well in terms of annual and seasonal changes. And the data has been reverse evaluated by the hydrological model, which is used to drive the VIC hydrological model to simulate the runoff change of Yajiang River basin and each sub basin, and verified by the measured runoff, MODIS and glacier cataloging data. On the basis of the original first edition, this data has considered the spatial distribution characteristics of precipitation, which can better describe the precipitation characteristics in alpine regions.
SUN He
The SZIsnow dataset was calculated based on systematic physical fields from the Global Land Data Assimilation System version 2 (GLDAS-2) with the Noah land surface model. This SZIsnow dataset considers different physical water-energy processes, especially snow processes. The evaluation shows the dataset is capable of investigating different types of droughts across different timescales. The assessment also indicates that the dataset has an adequate performance to capture droughts across different spatial scales. The consideration of snow processes improved the capability of SZIsnow, and the improvement is evident over snow-covered areas (e.g., Arctic region) and high-altitude areas (e.g., Tibet Plateau). Moreover, the analysis also implies that SZIsnow dataset is able to well capture the large-scale drought events across the world. This drought dataset has high application potential for monitoring, assessing, and supplying information of drought, and also can serve as a valuable resource for drought studies.
WU Pute, TIAN Lei, ZHANG Baoqing
This data set contains oxygen isotope data from 1010 to 2005. It is used to study environmental changes in the Xixiabangma area of the Tibetan Plateau. The ice core oxygen isotope is measured by instrument. This data set is obtained from laboratory measurements. The data are obtained immediately after the completion of the instrument or experiment. The samples and data are collected in strict accordance with relevant operating procedures at all stages and comply with the laboratory operating standards. This data contains two fields: Field 1: The time AD. Field 2: The oxygen isotope ‰.
TIAN Lide
This data set contains conventional ice surface meteorological data for Parlung Glacier No. 4 and debris-covered 24K Glacier in Southeast Tibet from June to September 2016. Meteorological observation instrument model: Campbell data logger CR1000; precipitation observation instrument models: T200B weighing rain cylinder for Parlung Glacier No. 4 and RG-3 tipping rain gauge for 24K Glacier. Acquisition time: 60 minutes. The data were collected automatically, and the data set was processed to form a continuous hourly time series after quality controlling the original data. The data collection sites were Parlung Glacier No. 4 (29.252°N; 96.932°E; 4800 m) and the debris-covered 24K glacier in Southeast Tibet (29.766°N; 95.712°E; 3900 m). Data for Parlung Glacier No. 4 at an elevation of 4800 m: Temperature, unit: °C Relative humidity, unit: % Wind speed, unit, m/s Downward shortwave radiation, unit: W/m2 Upward shortwave radiation, unit: W/m2 Downward longwave radiation, unit: W/m2 Upward longwave radiation, unit: W/m2 Precipitation, unit: mm Data for debris-covered 24K Glacier at an elevation of 3900 m (debris thickness: 25 cm): Temperature, unit: °C Relative humidity, unit: % Wind speed, unit, m/s Downward shortwave radiation, unit: W/m2 Upward shortwave radiation, unit: W/m2 Downward longwave radiation, unit: W/m2 Upward longwave radiation, unit: W/m2 Precipitation, unit: mm Temperature with a debris thickness of 5 cm, unit: °C Temperature with a debris thickness of 10 cm, unit: °C Temperature with a debris thickness of 20 cm, unit: °C
YANG Wei
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