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
This data-set contains the field measurements of meteorological parameters，trace gases, PM2. 5/PM10, particle number size distribution (12-530 nm), aerosol chemical composition (sulfate, nitrate and heavy metal components in PM2.5) at Geermu and Xihai (36.4oN, 94.8oE, 2800 m a.s.l. and 36.9oN, 100.9oE, 3080 m a.s.l., respectively) and the mobile measurements of trace gases in northeastern part of Tibetan Plateau. The time period of this data-set is from September to October in 2019 and 2020. The data-set comes from two measurement campaigns in 2019 and 2020. The mobile observation platform of Nanjing University, including various online measurement instruments（Duvas-DV3000，microAeth®-MA200，Vaisala weather probe）, was used to conduct the field measurements. The data in this data-set is finalized data with the data correction according to the instruments calibration and data quality control based on the data closure research results between multiple instruments. The atmospheric components data, such as trace gases, PM2.5/PM10, particle number size distribution, aerosol chemical composition, are the observation data under actual atmospheric pressure conditions without pressure corrections. The data-set can be directly used to analyze the atmospheric physics and chemistry related scientific issues in the northeastern part of the Tibetan Plateau. This data-set supplements the lack of field observation data related to the atmospheric environment in the northeastern part of the Tibetan Plateau.
NIE Wei, CHI Xuguang
The data of aerosol optical depth were daily collected at Qomolangma Station for Atmospheric and Environmental Observation and Research with An automatic sun/sky scanning radiometer (Cimel 318), over the period from Jan. to Dec. The data were measured at 2020. 340, 380, 440, 500, 675, 870 and 1020 nm channel with uncertainty of 0.01 - 0.02.
CONG Zhiyuan
(1) Daily average of atmospheric black carbon concentration(ng/m3) at the NASDE. (2) Instruments: Aethalometer (AE33). This instrument collected data with a resolution of one minute. The abnormal data collected at the start-up or faulty stage were manually excluded before analysis further. We generated daily average based on the National Ambient Air Quality Standard of China (GB 3095-2012). (3) From May to November, 2018, a wildlife Conservation Station nearby was constructed, which frequentlyexposed largeamounts of particles, thus the BC concentration was far beyond that collected in the same season of other years. The data in this period shouldbeusedwith greatcaution. Due to problems in the instrument or electric power supply, thedata was lost in other periods. (4) The instrument was placed at the Ngari Station for Desert Environment Observation and Research (79.70° E, 33.39°N, 4270 m above sea level).
XU Baiqing, ZHAO Huabiao, YANG Song
1) The optical depth, vertical mass concentration and extinction coefficient of dust, sulfate, organic carbon, black carbon and sea salt aerosols and total aerosols were measured; 2) Data source: numerical simulation, processing method: Based on CALIPSO satellite vertical observation and global aerosol model, it is generated by four-dimensional local ensemble transformation Kalman filter assimilation method; 3) The data quality is good; 4) It can also be used to study the spatiotemporal distribution of aerosols and their spatial and temporal characteristics of precipitation and their assimilation.
DAI Tie, CHENG Yueming
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 is the observation data of Shiquanhe town in Ali area. The longitude, latitude and altitude of the station in Ali area are 32.50 and 80.10 respectively; 4360m。 Continuously observe the mass concentration of black carbon in the atmosphere. The measuring instrument is ae31 (aethalometer), and its observation period is from 12:00:00 on July 13, 2019 to 21:35:00 on July 17, 2020. The time resolution is 5 minutes. There is data loss due to instrument failure. The data file includes instrument information, flow parameter setting (LPM) and specific observed concentration. Supported project: the second comprehensive scientific investigation and Research on the Qinghai Tibet Plateau 2019QZKK0602.
ZHU Chongshu, HU Tafeng, WU Feng, WANG Qiyuan, ZHANG Ningning, DAI Wenting
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
As the "water tower" of Asia, the Qinghai Tibet Plateau provides water resources for the main rivers in Asia. BC aerosol emitted from biomass and fossil fuel combustion has a strong absorption effect on radiation, and has an important impact on the energy budget and distribution of the earth system. It is an important influence factor of climate and environmental change. The 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 surface of snow and ice, which has an important impact on precipitation and glacier mass balance. Black carbon meters were set up at five stations on the Qinghai Tibet Plateau, and aethalometer was used to measure the black carbon content in the atmosphere online. The time resolution of the data was day by day. This data is an update of the previously released "observational data of black carbon content in the atmosphere of the Qinghai Tibet Plateau (2018)". The information of the five sites is as follows: Namco: 30 ° 46'N, 90 ° 59'e, 4730 ma.s.l Mt. Everest: 28.21 ° n, 86.56 ° e, 4276 ma. S.l Southeast Tibet: 29 ° 46'N, 94 ° 44'e, 3230 ma.s.l Ali station: 33.39 ° n, 79.70 ° e, 4270 ma. S.l Mostag: 38 ° 24'n, 75 ° 02'e, 3650 ma.s.l
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
This dataset includes the monthly AOD datasets from MODIS Aqua of the central and western part of China. By applying the Deep Blue (DB) and Dark Target (DT) algorithms over land, and the DT over-water algorithm, three types of AOD products at 550 nm are relseaed (e.g. Dark Target, Deep Blue and Merged AOD). In this project, monthly AOD products from July 2003 to November 2018 are collected, which can provide the informations of AOD and air pollutions over the central and western part of China.
XIA Xiangao, SONG Zijue
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 three pole aerosol type data product is an aerosol type result obtained by integrating the data assimilation of Meera 2 and the active satellite CALIPSO product through a series of data preprocessing, quality control, statistical analysis and comparative analysis. The key of this algorithm is to judge the type of CALIPSO aerosol. In the process of aerosol type data fusion, according to the type and quality control of CALIPSO aerosol, and referring to the type of merra 2 aerosol, the final aerosol type data (12 kinds in total) and quality control results in the three pole area are obtained. The data product fully considers the vertical distribution and spatial distribution of aerosols, with high spatial resolution (0.625 ° × 0.5 °) and time resolution (month).
ZHAO Chuanfeng
The "poles AOD Collection 1.0" aerosol optical thickness (AOD) data set adopts the self-developed visible band remote sensing inversion method, combined with the merra-2 model data and the official NASA product mod04. The data covers from 2000 to 2019, with the time resolution of day by day, covering the "three poles" (Antarctic, Arctic and Qinghai Tibet Plateau) area, and the spatial resolution of 0.1. Degree. The inversion method mainly uses the self-developed APRs algorithm to invert the aerosol optical thickness over ice and snow. The algorithm considers the BRDF characteristics of ice and snow surface, and is suitable for the inversion of aerosol optical thickness over ice and snow. The experimental results show that the relative deviation of the data is less than 35%, which can effectively improve the coverage and accuracy of the aerosol optical thickness in the polar region.
GUANG Jie
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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