The dataset contains the continuous daily lake surface temperature of 160 Lakes (with an area of more than 40km2) in the Tibetan Plateau from 1978 to 2017. Firstly, an semi-physical lake model (air2water) based on energy balance was improved to realize the continuous simulation of lake surface temperature even during ice age. The impoved model was calibrated by lake surface temperature from MOD11A1 product. The correlation between the dataset and in-situ lake surface temperature of four lakes is higher than 0.9, and the root mean square errors are less than 2.5 ℃. The data set provides data support for understanding the water and heat balance , the process of aquatic ecosystem and its response to climate change of lakes in the Tibetan Plateau.
GUO Linan , WU Yanhong, ZHENG Hongxing , ZHANG Bing , WEN Mengxuan
Known as the "Asian water tower", the Qinghai Tibet Plateau is the source of many rivers in Southeast Asia. As an important and easily accessible water resource, the runoff provided by it supports the production and life of billions of people around it and the diversity of the ecosystem. The glacier runoff data set in the five river source areas of the Qinghai Tibet Plateau covers the period from 2005 to 2010, with a time resolution of every five years. It covers the source areas of the five major rivers in the Qinghai Tibet Plateau (the source of the Yellow River, the source of the Yangtze River, the source of the Lancang River, the source of the Nujiang River, and the source of the Yarlung Zangbo River). The spatial resolution is 1km. Based on multi-source remote sensing, simulation, statistics, and measured data, GIS methods and ecological economics methods are used, The value of water resources service in the cryosphere in the source area of the river and river is quantified, and all its data are subject to quality control.
WANG Shijin
We propose an algorithm for ice fissure identification and detection using u-net network, which can realize the automatic detection of ice fissures of Typical Glaciers in Greenland ice sheet. Based on the data of sentinel-1 IW from July and August every year, in order to suppress the speckle noise of SAR image, the probabilistic patch based weights (ppb) algorithm is selected for filtering, and then the representative samples are selected and input into the u-net network for model training, and the ice cracks are predicted according to the trained model. Taking two typical glaciers in Greenland (Jakobshavn and Kangerdlussuaq) as examples, the average accuracy of classification results can reach 94.5%, of which the local accuracy of fissure area can reach 78.6%, and the recall rate is 89.4%.
LI Xinwu , LIANG Shuang , YANG Bojin , ZHAO Jingjing
This data set is a code file set of TCA (triple collision analysis) algorithm, which is used to generate the global daily-scale soil moisture fusion dataset from 2011 to 2018.
XIE Qiuxia, XIE Qiuxia, XIE Qiuxia, XIE Qiuxia, XIE Qiuxia, XIE Qiuxia, XIE Qiuxia, XIE Qiuxia, XIE Qiuxia, JIA Li , HU Guangcheng
Simulation results of land use and cover in the upper, middle and lower reaches of the Heihe River basin(HRB) under the Basic, Ecology and Rapid Economic Development scenarios, time frame: 2015-2030, spatial resolution: 1km. Upper HRB land use data simulation, spatial resolution is 1km; Middle HRB land use data simulation, spatial resolution is 1km; Downstream HRB land use data simulation, spatial resolution is 1km. The spatial resolution of land use data in the downstream area of the HRB is 1 km. The land use data in the Economic scenario focuses on rapid economic development and rapid expansion of land for construction, while forest and grassland protection is neglected. The data were obtained based on historical land use data using DLS model simulations.
WU Feng
1) The data include the temperature records reconstructed by using the core depth, age and biomarker gdgts of Bangong Lake to reconstruct the annual average temperature change of Bangong Lake Basin in the west of Qinghai Tibet Plateau since the last deglaciation. At present, most paleoclimate records on the plateau are qualitative and semi quantitative, and the quantitative records are very limited, which restricts the in-depth understanding of the mechanism of climate change on the plateau. Bangongcuo, the largest lake in the west of Qinghai Tibet Plateau, was selected as the study area, and the average annual temperature change in this area since 16 ka BP was reconstructed by using biomarker indexes. 2) The record was reconstructed using gdgts of lake sediments. 3) The data are detailed and reliable. 4) This study not only provides data for understanding the past climate change in the western Qinghai Tibet Plateau, but also provides a basis for discussing the plateau climate change mechanism and verifying the reliability of regional climate model.
HOU Juzhi, WANG Mingda
This data set includes the PM2.5 mass concentration of atmospheric aerosol particles at Southeast Tibet station, Ali station, mostag station, Everest station and Namuco station (unit: mm) μ g/m3）。 Aerosol PM2.5 fine particles refer to particles with aerodynamic equivalent diameter less than or equal to 2.5 microns in the ambient air. It can be suspended in the air for a long time, which has an important impact on air quality and visibility. The higher its concentration in the air, the more serious the air pollution. The concentration characteristic data of PM2.5 is output at the frequency of obtaining a set of data every 5 minutes, which can realize the analysis of aerosol mass concentration at different time scales such as hour, day and night, season and interannual, which provides the analysis of changes and influencing factors of aerosol mass concentration at different locations in the Qinghai Tibet plateau at different time scales, as well as the evaluation of local air quality, It provides important data support. This data is an update of the published data set of PM2.5 concentration of aerosol particles at different stations on the Qinghai Tibet Plateau (2018 and 2019).
WU Guangjian
Based on the Sentinel-2 and Landsat 5/7/8 multispectral instrument imageries combined with in-situ measured hydrological data, bankfull river geometry of six major exorheic river basins of the Qinghai-Tibet Plateau (the upper Yellow River, upper Jinsha River, Yalong River, Lantsang River, Nu River and Yalung Zangbo River) are presented. River surface of six mainstreams and major tributaries are included. For each river basin, two types of rivers are included: connected and disconnected rivers. Format of the dataset is .shp exported from the ArcGIS 10.5. Three products are included in the dataset: one original product (bankfull river surface dataset) and two derived products (bankfull river width dataset and bankfull river surface area dataset with a 1 km river length interval). These three products are in three folders. The first folder, “1-Bankfull River Surface”, contains river surface vectors for six river basins in the .shp file. The second folder, “2-Bankfull River Width”, contains bankfull river widths and corresponding coordinates with a 1 km-step river length for six mainstreams and some connected tributaries in .xlsx format. The river width vectors in the .shp files are also provided in the second folder. The third folder, “3-Bankfull River Surface Area”, contains bankfull river surface areas and corresponding coordinates with a 1 km-step river length for six mainstreams and some connected tributaries in .xlsx format. Three Supplementary Files are included: Supplementary File 1, tables and figures related to the dataset; Supplementary File 2, used for river surface extraction based on GEE platform; Supplementary File 3, used for river width extraction based on Matlab. The provided planform river hydromorphology data can supplement global hydrography datasets and effectively represent the combined fluvial geomorphology and geological background in the study area.
LI Dan , XUE Yuan , QIN Chao , WU Baosheng , CHEN Bowei , WANG Ge
1) Data content: changes in genetic diversity of 10 amphibians and reptiles on the Qinghai Tibet Plateau in the face of future climate change. 2) Data source and processing method: Based on the bar code data of 10 amphibians and reptiles on the Qinghai Tibet Plateau, combined with SDM, MPTP approach and other software, the genetic diversity and distribution in 2050, 2070 and 2090 in the future are constructed. 3) Data quality description: the data quality is verified, and the data analysis personnel are strictly trained in the laboratory. 4) Results and prospects of data application: it is found that amphibians and reptiles distributed in the north of Qinghai Tibet Plateau need more attention in protection.
SHEN Wenjing
This product provides the monthly runoff, evapotranspiration and soil water of major Arctic river basins in 2018-2065 based on the land surface model Vic. The spatial accuracy is 10km. Major Arctic river basins include Lena, Yenisey, ob, Kolyma, Yukon and Mackenzie basins. According to the rcp2.6 (low emission intensity) and rcp8.5 (high emission intensity) scenario results provided by the ipsl-cm5a-lr model in cmip5 in the fifth assessment report of IPCC, the future climate scenario driving data applicable to the Arctic region of 0.1 ° is obtained through statistical downscaling. Using the calibrated land surface hydrological model Vic on a global scale, based on the future climate scenario driven data of 0.1 °, the monthly time series of runoff, soil water and evapotranspiration of the Arctic River Basin in the middle of this century under future climate change are estimated.
TANG Yin , TANG Qiuhong , WANG Ninglian, WU Yuwei
(1) Data content: This data set is based on the Xiaguiwa landslide in the Sanjiang basin of the Qinghai-Tibet Plateau, reconstructing the bedding slope of the Xiaguiwa landslide; the bedding slope of the Xiaguiwa landslide is used as a reference for shaking table model tests, which is used to design the shaking table model test model and sensor layout diagram for the bedding rock slope, with a weak rock layer in the model slope, and the sensors deployed are acceleration sensors and velocity sensors, and the measured (2) Data source and processing method: The data set is drawn by Guo Mingzhu of Beijing University of Technology using CAD software. (3) The data provide reference for the subsequent shaking table model test implementation.
GUO Mingzhu
Fossils of the ursid Indarctos from Withlacoochee River 4A of Florida (late early Hemphillian North American Land Mammal Age, Hh2, ~ 7.5–6.5 Ma) represent the best sample of this genus in North America, including both craniodental and postcranial specimens, yet only the skull has been described. In this study, we describe the other material of this bear from the same locality and review the records of Indarctos in North America. Indarctos from Withlacoochee River 4A has dental characters in accordance with those of typical Indarctos oregonensis, but has distinctly more slender postcranial bones. Indarctos from other localities of North America contains two morphs with regards to postcranial robustness, but lacks a clear geographic pattern. Indarctos from Withlacoochee River 4A shares traits with the Old World Indarctos zdanskyi and may be its descendant in the New World. The machairodont from Withlacoochee River 4A shows typical characters (e.g., presence of distinct P4 preparastyle and mandibular flange) that allow referral to Amphimachairodus rather than to Nimravides. Its morphology also shows a stronger affinity of this population to the Old World Amphimachairodus horribilis rather than to Hh3 Amphimachairodus coloradensis. Previously, most North American records of Amphimachairodus were late Hemphillian (Hh3–4, ~ 6.5–4.5 Ma), when it co-occurred with a different ursid, “Agriotherium.” The Withlacoochee River 4A specimens provide evidence that Amphimachairodus dispersed from Asia during the Hh2. The special morphology of Indarctos and the presence of Amphimachairodus in a Hh2 fauna suggest that the environment had begun to change before the significant fauna turnover between the early and late Hemphillian.
QIGAO Jiangzuo
This subject takes the porphyry skarn epithermal copper polymetallic deposit in the important metallogenic belt of Tibet as the research object, and comprehensively investigates and studies the development characteristics of its deep magma, structure, fluid alteration and mineralization system based on the preliminary exploration and research results of important ore (concentration) areas, so as to effectively dissect the metallogenic system structure of key mining areas. This paper focuses on the fine anatomy of the coupling relationship between the ore controlling structure of duolong porphyry epithermal copper gold deposit and the magmatic mineralization alteration system formed from the late stage of ocean crust subduction to the stage of continental soft collision; At the same time, the formation, transformation and preservation mechanism of its metallogenic system are comprehensively studied to form a prospecting prediction demonstration. This paper dissects the three-dimensional structure of Beiya porphyry copper gold metallogenic system formed in the transformation stage of India Eurasia collision strike slip structure, so as to accurately grasp its metallogenic process and effectively realize the positioning prediction of deep ore bodies. The magma, hydrothermal evolution fluid migration metal precipitation mechanism and ore-forming fluid migration process of Jiama porphyry metallogenic system are dissected by means of traditional deposit science and non-traditional potassium and magnesium isotopes, so as to establish the magmatic fluid evolution model of the deposit and realize the prospecting prediction. Finally, based on the exploration results of Jiama Qulong ore concentration area, junuo, Xiongcun ore concentration area, zhaxikang cuonadong ore concentration area and duolong ore concentration area, the effective exploration technology and method combination of the metallogenic system of each key ore (concentration) area is integrated and formed into a demonstration.
WANG Liqiang
This data set contains the data set of wild animal infrared stereo camera deployed in Hubao Park, Hunchun City, Yanbian Korean Autonomous Prefecture, Jilin Province. A total of 9 sets of wildlife infrared stereo cameras are deployed near Erdaogou in the tiger and leopard park. The stereo cameras are placed on trees and powered by batteries. The data acquisition time is from October 2019 to October 2020, with a total of 5.02g image data. The data is stored in the SD card inside the camera, part of which is transmitted through 700m network, and part of the data is stored in the internal memory card of the camera. Because there is no signal, the time of some images of the camera is January 1, 2000 as the starting time. The stereo camera uses infrared induction trigger to obtain wild animal images. The camera is in sleep for a long time. In this state, only the infrared sensor is in working state. When the sensor senses infrared thermal information, the stereo camera is aroused to take photos and collect. The size of the collected image sheet is 2592 × 1944。 1. Wild animals haunted at the installation site of Hunchun tiger and leopard park. When wild animals appear within the detection range of the stereo camera, acquisition and photographing are triggered once. 2. Data source: "development of terrestrial vertebrate monitoring equipment", 2016yfc0500104, completed by: Institute of semiconductors, Chinese Academy of Sciences, raw data, unprocessed. 3. The photo data is divided into a pair of effective data, including the left image and the right image. After correction, the left and right images can obtain the parallax map. According to the parallax map, the size information and distance information of the target of interest in the image can be obtained. Through the long-term analysis and research of the obtained animal size information. 4. This data can be used to record the population and body size of wild animals in a certain area, establish a real wild animal body size database, obtain the animal body size data information under different regions, ages and genders, and provide supporting data for wildlife research.
ZHOU Yan
The normalized difference vegetation index (NDVI) can accurately reflect the surface vegetation coverage. At present, NDVI time series data based on spot / vegetation and MODIS satellite remote sensing images have been widely used in the research of vegetation dynamic change monitoring, land use / cover change detection, macro vegetation cover classification and net primary productivity estimation in various scale regions. The spatial distribution data set of 1km vegetation index (NDVI) in Southeast Tibet is in MODIS（ https://ladsweb.modaps.eosdis.nasa.gov/ ）Based on the 16 day 1km surface reflectance data (mod13), the monthly vegetation index data set since 2000 is generated by the maximum synthesis method. The data set effectively reflects the distribution and change of vegetation cover in Southeast Tibet on spatial and temporal scales. It has very important reference significance for the monitoring of vegetation change, the rational utilization of vegetation resources and other fields related to ecological environment. Monthly NDVI data is the maximum value of monthly NDVI data, and the data acquisition time is from February 2000 to December 2018. The downloaded data is in grid format with a spatial resolution of 1km.
WANG Hao
The dataset of landuse types in Qilian Mountains National Park in 1985 is a vector dataset based on the remote sensing monitoring dataset of the current landuse situation in China by CAS, which is obtained through cropping and splicing operations. The data production production is vector data generated by manual visual interpretation using Landsat TM/ETM remote sensing images as the main data source. 3 datasets for 2000-2020 are raster datasets with 30m resolution based on GlobeLand30 global 30m ground cover data, obtained through mask extraction and other operations. The land use types of all datasets include 10 primary types of cropland, forest, shrubland, grassland, wetland, water, tundra, impervious surface, bareland, glacier, and permanent snow. The data products can detect most of the land cover changes caused by human activities, which is very important in practical applications. This data can be used to analyze the historical land use types in the Qilian Mountains region and to analyze the changes of land use types in the Qilian Mountains region in combination with the current landuse type data.
NIAN Yanyun
This data is the runoff and evapotranspiration generated by the precipitation in the growing season of the upper reaches of Heihe River from 1992 to 2015. Temporal resolution: year (growingseason), spatial resolution: 0.00833°. The data include precipitation (mm), evapotranspiration (mm), runoff (mm) and soil water content (m3 / m3). The data are obtained by using meteorological, soil and vegetation parameters based on Eagleson eco hydrological model. The simulated rainfall runoff is verified by using the observed runoff data in the growing season of 6 sub basins in the upper reaches of Heihe River (Heihe main stream, Babao River, yeniugou, Liyuan River, Wafangcheng and Hongshui River). The variation range of correlation coefficient (R) is 0.53-0.74, RMSE is 32.46-233.18 mm, and the relative error range is -0.66-0.0005; The difference between simulated evapotranspiration and gleam et is − 115.36 mm to 44.1 mm. The simulation results can provide some reference for hydrological simulation in the upper reaches of Heihe River.
ZHANG Baoqing
Acceleration is an important parameter to reflect the dynamics of slope. Twenty-two acceleration sensors are arranged on the slope surface, lithological interface and inside the slope of the Xiaguiwa bedding rock model slope. An acceleration sensor is arranged on the shaking table to record the real acceleration state of the input seismic wave. The collected data are filteringed, noise reduction, screened and other processing steps to obtain the acceleration data set of the bedding rock model slope; The peak values of the acceleration data of the model slope under the same load condition can reflect the dynamic response law of the slope under such seismic action, and the ratio of the peak acceleration on the slope to the peak acceleration on the table can reflect whether the slope is enhanced or attenuated at each location under the seismic action.
GUO Mingzhu
The triple pole aerosol type data product is an aerosol type result obtained through a series of data pre-processing, quality control, statistical analysis and comparative analysis processes by comprehensively using MEERA 2 assimilation data and active satellite CALIPSO products. The key of the aerosol type fusion algorithm is to judge the aerosol type of CALIPSO. During the data fusion of aerosol type, the final aerosol type data (12 types in total) and quality control results in the three polar regions are obtained according to the types and quality control of CALIPSO aerosol types and referring to MERRA 2 aerosol types. The data product fully considers the vertical and spatial distribution of aerosols, and has a high spatial resolution (0.625 ° × 0.5 °) and time resolution (month).
ZHAO Chuanfeng
The gridded desertification risk data of The Arabian Peninsula in 2021 was calculated based on the environmentally sensitive area index (ESAI) methodology. The ESAI approach incorporates soil, vegetation, climate and management quality and is one of the most widely used approaches for monitoring desertification risk. Based on the ESAI framework, fourteen indicators were chosen to consider four quality domains. Each quality index was calculated from several indicator parameters. The value of each parameter was categorized into several classes, the thresholds of which were determined according to previous studies. Then, sensitivity scores between 1 (lowest sensitivity) and 2 (highest sensitivity) were assigned to each class based on the importance of the class’ role in land sensitivity to desertification and the relationships of each class to the onset of the desertification process or irreversible degradation. A more comprehensive description of how the indicators are related to desertification risk and scores is provided in the studies of Kosmas (Kosmas et al., 2013; Kosmas et al., 1999). The main indicator datasets were acquired from the Harmonized World Soil Database of the Food and Agriculture Organization, Climate Change Initiative (CCI) land cover of the European Space Agency and NOAA’s Advanced Very High Resolution Radiometer (AVHRR) data. The raster datasets of all parameters were resampled to 500m and temporally assembled to the yearly values. Despite the difficulty of validating a composite index, two indirect validations of desertification risk were conducted according to the spatial and temporal comparison of ESAI values, including a quantitative analysis of the relationship between the ESAI and land use change between sparse vegetation and grasslands and a quantitative analysis of the relationship between the ESAI and net primary production (NPP). The verification results indicated that the desertification risk data is reliable in the Arabian Peninsula in 2021.
XU Wenqiang
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