The data set includes carbon isotope data of different regions of the Tibetan Plateau and different environmental (carbon isotope data of black carbon and organic carbon in aerosols from 10 typical stations of the Qinghai Tibet Plateau, carbon isotope data of black carbon and water insoluble organic carbon in 11 snow pits in different years, and carbon isotope data of water-soluble organic carbon in monsoon precipitation from 11 stations of the Qinghai Tibet Plateau and its surrounding areas), All samples were collected at each site, and the content and δ 13C and Δ 14C data, which can be used to accurately assess the contribution proportion of atmospheric carbon aerosols, carbon particles deposited on glaciers and water-soluble organic carbon in precipitation from fossil fuels and biomass fuels.
LI Chaoliu
This data set includes the light absorption data of carbon components in the atmosphere and precipitation at typical stations on the Tibetan Plateau (Ranwu (2018-2021), Namco (2013-2016), Everest (2013-2016), Lulang (2015-2016)). All samples were collected on the spot from various sampling points. The concentrations of black carbon and water-soluble organic carbon, as well as the light absorption data were measured, using the index (MAC value) representing the light absorption capacity, The MAC values of light absorption of water-soluble organic carbon and black carbon are calculated. This data is of great significance for evaluating the radiative forcing of carbon particles in the atmosphere, and is an important basic data input for model simulation.
LI Chaoliu
The ground-based observation dataset of aerosol optical properties over the Tibetan Plateau was obtained by continuous observation with a Cimel 318 sunphotometer, involving two stations: Qomolangma Station and Nam Co Station. These products have taken the process of cloud detection. The data cover the period from January 1, 2021 to December 31, 2021, and the time resolution is daily. The sunphotometer has eight observation channels from visible light to near infrared, and the central wavelengths are 340, 380, 440, 500, 670, 870, 940 and 1120 nm, respectively. The field of view angle of the instrument is 1.2°, and the sun tracking accuracy is 0.1°. Six bands of aerosol optical thickness can be obtained from direct solar radiation, and the accuracy is estimated to be 0.01-0.02. Finally, AERONET unified inversion algorithm was used to obtain the aerosol optical thickness, Ångström index, aerosol particle size distribution, single scattering albedo, phase function, complex refraction index and asymmetry factor.
CONG Zhiyuan
The 0.1 º aerosol optical thickness dataset (also known as the "Poles AOD Collection 1.0" aerosol optical thickness (AOD) dataset) in the polar regions from 2000 to 2020 was produced by combining Merra-2 mode data and MODIS satellite sensor AOD. The data covers the period from 2000 to 2020, with a daily time resolution, covering the "tri polar" (Antarctic, Arctic and Qinghai Tibet Plateau) region, and a spatial resolution of 0.1 degree. The verification of the measured stations shows that the relative deviation of the data is within 35%, which can effectively improve the coverage and accuracy of AOD in the polar region.
GUANG Jie GUANG Jie
The surface PM2.5 concentration data of Tibet Plateau is named by date (YYYYMMDD). Each NC file contains one day's data, which is composed of PM2.5 concentration, longitude, latitude, and time information of the area (the corresponding variables in the data are named with PM2.5, lon, lat, time). The data inversion relies on the reanalysis data MERRA-2 released by NASA and the AOD product of Multi-angle Imaging SpectroRadiometer (MISR). MERRA-2 is mainly based on NASA GMAO Earth system model version 5 (GEOS 5). The algorithm is able to assimilate all the in-situ and re- motely-sensed atmospheric data. This dataset mainly focuses on the aerosol field of MERRA-2. This is the first multi-decadal reanalysis within which meteorological and aerosol observations are jointly assimilated into a global assimilation system. MISR views Earth with cameras pointed in 9 different directions， which can help us know the amount of sunlight that is scattered in different directions under natural conditions. The main data products used in this data algorithm are MERRA-2 aerosol analysis product (M2T1NXAER) and MISR Level 3 version 4 global aerosol products (MIL3DAEN_4). Firstly, the ratio of PM2.5 to AOD in each grid was calculated by using the aerosol information provided by MERRA-2. Second, the PM2.5 concentration of the grid was calculated by multiplying the AOD of MISR by the ratio. The mean prediction error of PM2.5 concentration obtained by this method is within 20 μg/m3. The corresponding PM2.5 products can be used for the assessment of particulate pollution in the Tibet Plateau.
FU Disong
As the "water tower" in Asia, the Qinghai Tibet Plateau provides water resources for major rivers in Asia. BC aerosol emitted from biomass and fossil fuel combustion has a strong absorption effect on radiation, which has an important impact on the energy budget and distribution of the earth system. It is an important factor of climate and environmental change. Black carbon aerosols emitted from the surrounding areas of the Qinghai Tibet Plateau can be transported to the interior of the plateau through the atmospheric circulation and settle on the snow and ice surface, which has an important impact on precipitation and glacier material balance. Black carbon meters are set up at five stations on the Qinghai Tibet Plateau, and aethalometer is used to measure the content of Atmospheric Black Carbon online. The data time resolution is day by day, which provides a data basis for assessing the impact of black carbon on the climate and environment of the Qinghai Tibet Plateau and the cross-border transmission of air pollutants. This data is an update of the previously released observation data of five stations of atmospheric black carbon content on the Qinghai Tibet Plateau (2018) and the observation data of five stations of atmospheric black carbon content on the Qinghai Tibet Plateau (2019). The information of the five sites is as follows: Namuco: 30 ° 46'N, 90 ° 59'e, 4730 m a.s.l Everest station: 28.21 ° n, 86.56 ° e, 4276 m a.s.l Southeastern Tibet: 29 ° 46'N, 94 ° 44'e, 3230 m a.s.l Ali station: 33.39 ° n, 79.70 ° e, 4270 m a.s.l Mustard: 38 ° 24'n, 75 ° 02'e, 3650 m a.s.l
The data set contains atmospheric aerosol PM10, PM2.5 and PM1 data and ambient air temperature and humidity from meduo National Climate Observatory (29 ° 18'n, 95 ° 19'e, 1305.0m above sea level) in meduo region, Tibet. The observation instrument is grimm-180 environmental particle analyzer. The observation time is from April 8, 2021 to May 22, 2021. The data time resolution is 10 seconds. The abnormal data generated during the operation of the instrument has been eliminated. During the observation period, due to the influence of the South Asian monsoon, the air humidity is high, and the surrounding of the observation site is less disturbed by human activities. This data set provides basic data for studying the physical characteristics, temporal and spatial variation characteristics and source analysis of atmospheric dust aerosols in Southeast Tibet. Supported project: Topic 2 of the sixth research task of the second comprehensive scientific investigation of the Qinghai Tibet Plateau (2019qzkk0602).
HUANG Jianping, ZHANG Lei, TIAN Pengfei, SHI Jinsen
The data set contains the scattering coefficient data of atmospheric aerosols at 450nm, 550nm and 700nm bands from meduo National Climate Observatory (29 ° 18'n, 95 ° 19'e, 1305.0m above sea level) in meduo region, Tibet. The observation instrument is an integral turbidimeter. The observation time is from April 8, 2021 to May 22, 2021. The time resolution of the data is 10 seconds. The abnormal data generated during the operation of the instrument has been eliminated. During the observation period, due to the influence of the South Asian monsoon, the air humidity is high, and the surrounding of the observation site is less disturbed by human activities. This data set provides basic data for studying the physical characteristics, temporal and spatial variation characteristics and source analysis of atmospheric dust aerosols in Southeast Tibet. Supported project: Topic 2 of the sixth research task of the second comprehensive scientific investigation of the Qinghai Tibet Plateau (2019qzkk0602).
HUANG Jianping, ZHANG Lei, TIAN Pengfei, SHI Jinsen
The data set contains hourly data of atmospheric black carbon aerosol concentrations at the meduo National Climate Observatory (29 ° 18'n, 95 ° 19'e, altitude 1305.0m) in meduo, Tibet. The observation instrument is ae31, and the observation time is from April 9, 2021 to May 20, 2021. The abnormal data generated in the sampling process has been eliminated. During the observation period, due to the influence of the South Asian monsoon, the air humidity is high, and the surrounding of the observation site is less disturbed by human activities. This data set provides basic data for studying the physical characteristics, temporal and spatial variation characteristics and source analysis of atmospheric black carbon aerosols in Southeast Tibet.
HUANG Jianping, ZHANG Lei, TIAN Pengfei, SHI Jinsen
The surface PM2.5 concentration data of Tibet Plateau is named by date (YYYYMMDD). Each NC file contains one day's data, which is composed of PM2.5 concentration, longitude, latitude, and time information of the area (the corresponding variables in the data are named with PM2.5, lon, lat, time). The data inversion relies on the reanalysis data MERRA-2 released by NASA and the AOD product of Multi-angle Imaging SpectroRadiometer (MISR). MERRA-2 is mainly based on NASA GMAO Earth system model version 5 (GEOS 5). The algorithm is able to assimilate all the in-situ and re- motely-sensed atmospheric data. This dataset mainly focuses on the aerosol field of MERRA-2. This is the first multi-decadal reanalysis within which meteorological and aerosol observations are jointly assimilated into a global assimilation system. MISR views Earth with cameras pointed in 9 different directions， which can help us know the amount of sunlight that is scattered in different directions under natural conditions. The main data products used in this data algorithm are MERRA-2 aerosol analysis product (M2T1NXAER) and MISR Level 3 version 4 global aerosol products (MIL3DAEN_4). Firstly, the ratio of PM2.5 to AOD in each grid was calculated by using the aerosol information provided by MERRA-2. Second, the PM2.5 concentration of the grid was calculated by multiplying the AOD of MISR by the ratio. The mean prediction error of PM2.5 concentration obtained by this method is within 20 μg/m3. The corresponding PM2.5 products can be used for the assessment of particulate pollution in the Tibet Plateau.
FU Disong
The data set contains the mass concentration of PM2.5 (particulate matter less than 2.5 μ m) in the atmosphere of Shiquanhe national reference climate station (32 ° 30'n, 80 ° 05'e, altitude 4278.6 m). The measuring instrument is RP 1400A vibrating balance micro balance (TEOM). The observation period is from July 8, 2019 to August 2, 2019, and the time resolution is 1 minute. The data is stored in TXT format.
HUANG Jianping, ZHANG Lei, TIAN Pengfei, SHI Jinsen
The data set contains the scattering and absorption coefficients of PM2.5 (particles with particle size less than 2.5 μ m) in the atmosphere of Shiquanhe national reference climate station (32 ° 30'n, 80 ° 05'e, altitude 4278.6 m) in Ali Region. The measurement instrument is photoacoustic extinctiomer (pax), the observation period is from July 13, 2019 to August 2, 2019, and the time resolution is 1 minute. The data set can be used to study the scattering and absorption characteristics of PM2.5 over the Tibetan Plateau.
HUANG Jianping, ZHANG Lei, TIAN Pengfei, SHI Jinsen
The data set contains the scattering coefficients of PM2.5 (particles less than 2.5 μ m) at 450nm, 550nm and 700nm at Shiquanhe national climate station (32 ° 30'n, 80 ° 05'e, altitude 4278.6 m). The measuring instrument is tsi-3563 integral turbidimeter, the observation period is from July 8, 2019 to August 2, 2019, and the time resolution is 10 seconds. It can be used to study the dependence of PM2.5 scattering coefficient on the wavelength of incident light, which can reflect the particle size distribution of PM2.5.
HUANG Jianping, ZHANG Lei, TIAN Pengfei, SHI Jinsen
The data set contains the off-line sampling data of medium flow aerosols from Shiquanhe national climate station (32 ° 30'n, 80 ° 05'e, altitude 4278.6 m) in Ali Region. The measuring instrument is Laoying 2030 medium flow sampler. The quartz filter membrane samples of PM2.5, PM10 and TSP with a diameter of 90 mm are collected. The samples will be used for chemical components such as elemental carbon, organic carbon, water-soluble ions and metal elements analysis. The sampling period is from July 7, 2019 to August 2, 2019, starting at 09:00 every day, with a total of 81 samples for 23 hours each time. The data is stored in Excel file.
HUANG Jianping, ZHANG Lei, TIAN Pengfei, SHI Jinsen
The data set contains the number concentration and size distribution spectrum of particles in the atmosphere of Shiquanhe national climate station (32 ° 30'n, 80 ° 05'e, elevation 4278.6 m) in Ali Region. The instrument is tsi-3321 aerodynamic particle size spectrometer (APS), with 52 particle size channels. The observation period is from July 7, 2019 to August 2, 2019, and the time resolution is 5 minutes. The size distribution spectra of aerosol volume concentration and mass concentration can be obtained by using the data, aerosol spherical hypothesis and aerosol density, and then the characteristics of aerosol particle size distribution in the northwest of Qinghai Tibet Plateau can be studied.
HUANG Jianping, ZHANG Lei, TIAN Pengfei, SHI Jinsen
There are two types of aerosol data in the Tibetan Plateau. Aerosol type data products are the results of aerosol type data fusion by using Meera 2 assimilation data and active satellite CALIPSO products through a series of data preprocessing, quality control, statistical analysis and comparative analysis. The key of the algorithm is to judge the CALIPSO aerosol type. According to CALIPSO aerosol types and quality control, and referring to merra 2 aerosol types, the final aerosol type data (12 kinds) and quality control results were obtained. Considering the vertical and spatial distribution of aerosols, it has high spatial resolution (0.625 ° × 0.5 °) and temporal resolution (month). Aerosol optical depth (AOD) is a visible band remote sensing inversion method developed by ourselves, combined with merra-2 model data and NASA's official product mod04. The data coverage time is from 2000 to 2019, with daily temporal resolution and spatial resolution of 0.1 degree. The retrieval method mainly uses the self-developed APRs algorithm to retrieve the aerosol optical depth over the ice and snow. The algorithm takes into account the BRDF characteristics of the ice and snow surface, and is suitable for the inversion of aerosol optical thickness on the ice and snow. The results show that the relative deviation of the data is less than 35%, which can effectively improve the coverage and accuracy of the polar AOD.
GUANG Jie, ZHAO Chuanfeng
This data set includes PM2.5 mass concentrations (unit: μ g / m3) of atmospheric aerosol particles from South-East Tibetan plateau Station, Ngari Station, Muztagh Ata Station, Qomolangma station and Namco station. Aerosol PM2.5 fine particles refer to the particles with aerodynamic equivalent diameter less than or equal to 2.5 μ m in 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 were calculated every 5 The analysis of aerosol mass concentration in different time scales, such as hour, day and night, season and inter annual, can be achieved by obtaining a group of data frequency for output. This provides important data support for the analysis of aerosol mass concentration changes in different time scales and its influencing factors in different locations of the Qinghai Tibet Plateau, as well as the evaluation of local air quality. The data is an update of the published data set of aerosol PM2.5 concentration at different stations on the Qinghai Tibet Plateau (2018).
WU Guangjian
Black carbon is an important light absorbing substance, which has an important impact on climate change. This data set contains the data of black carbon concentration and sedimentation flux in the core of six lakes (gun Yong lake, Tanggula lake, linggecuo, Ranwu lake, gokyo, gosainkunda) on the Qinghai Tibet Plateau and the south slope of the Himalayas. The carbon concentration of Huxin black was determined by digestion filtration thermoluminescence method. This dataset is an excel file, which can be opened directly by using Excel. This data set is helpful to study the history of atmospheric black carbon deposition in the Qinghai Tibet Plateau and its surrounding areas and to further analyze the sources of atmospheric black carbon. It can be used as the basic data for the study of atmospheric black carbon transport and climate effect assessment.
KANG Shichang
This dataset includes the concentrations and spatial pattern of organic carbon (OC) and Elemental carbon (EC) in the carbonaceous aerosol (CA) of the Tibetan Plateau and surroundings. OC and EC were measured by Desert Research Institute Model 2001 Thermal/Optical Carbon Analyzer. The limit of detection (LOD) for OC and EC were 0.43 and 0.12 ug/cm2, respectively. In addition, MAC was also calculated for assessing the effect of EC. This dataset will provide the informations of CA contamination and background values over the Tibetan Plateau and surroundings.
The aerosol optical thickness data of Qomolangma station and Namuco station in the Qinghai Tibet Plateau is based on the observation data products of Qomolangma station and Namuco station from the atmospheric radiation view of the Institute of Qinghai Tibet Plateau of the Chinese Academy of Sciences. The data coverage time is from 2017 to 2019, the time resolution is hour by hour, the coverage sites are Qomolangma station and Namuco station, the longitude and latitude coordinates are (Qomolangma station: 28.365n, 86.948e, Namuco station Mucuo station: 30.7725n, 90.9626e). The source of the observed data is retrieved from the radiation data observed by mfrsr instrument. The characteristic variable is aerosol optical thickness, and the error range of the observed inversion is about 15%. The data format is TXT.
CONG Zhiyuan
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