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
Aerosol Optical Depth (AOD) reflects the attenuation of solar radiation to the surface by aerosols. This data set is derived from the latest MODIS aerosol secondary product MOD04_ L2 and MYD04_ L2, where MOD and MYD represent Terra and Aqua satellites respectively. At present, MODIS aerosol retrieval algorithms are Dark Target (DT) and Deep Blue (DB). According to the inversion accuracy of the metadata field table Quality Assurance Confidence (QAC), DT and DB algorithm products are integrated to deal with land, ocean and coast respectively. The index quality is optimal (QAF=3) or suboptimal (QAF=2) or meets the basic needs (QAF=1) to obtain high-resolution AOD products (0.1 degree, daily scale) with full coverage and long time series. This dataset provides MOD, MYD and fusion products based on transit time.
YE Aizhong
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
Aerosol Optical Depth (AOD) reflects the attenuation of solar radiation to the surface by aerosols. The aerosol type is calculated according to the aerosol optical thickness (AOD). This data set is derived from the latest MODIS aerosol secondary product MOD04_ L2 and MYD04_ L2, where MOD and MYD represent Terra and Aqua satellites respectively. At present, MODIS aerosol retrieval algorithms are Dark Target (DT) and Deep Blue (DB). According to the inversion accuracy of the metadata field table Quality Assurance Confidence (QAC), DT and DB algorithm products are integrated to deal with land, ocean and coast respectively. The index quality is optimal (QAF=3) or suboptimal (QAF=2) or meets the basic needs (QAF=1) to obtain high-resolution AOD products (0.1 degree, daily scale) with full coverage and long time series. According to AOD experience threshold (AOD: 0~0.2, clean type; 0.2~0.6, urban or industrial type; greater than 0.6, sand dust type) The aerosol types are classified into three types: clean type (1), urban or industrial type (2) and sand dust type (3). This dataset provides MOD, MYD and fusion products based on transit time.
YE Aizhong
Knowledge the elemental composition of aerosols in remote areas is very important for assessing the impact of human activities. This dataset reports the elemental composition of atmospheric aerosols (TSP) in Ranwu, a remote area in the southeast of the Tibet Plateau, from November 2019 to December 2020. The data include acid soluble and total soluble components. The results of acid soluble components are determined by adding 1% sample volume of nitric acid to react for seven days; The treatment of the total soluble component is to use the mixture of nitric acid and hydrofluoric acid for determination after pressurized digestion. The Chinese loess reference material (GBW07408) is used for quality control. In general, the element concentrations in this area are lower than those in other stations in the southeast of the Qinghai Tibet Plateau, but slightly higher than those in the interior of the plateau (Nam co). The interior of the Tibet Plateau is the main source of elements from the crust, and the typical heavy metal elements are the long-distance transport of pollutants emitted by human activities in South Asia and Southeast Asia. The data supplement the database of aerosol elements in the southeast of the Tibet Plateau.
LI Chaoliu
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 data set includes basic temperature, humidity and pressure wind meteorological elements, black carbon concentration, scattering coefficient, particle size spectrum data and chemical composition analysis. Automatic weather station can measure temperature, relative humidity, air pressure, wind direction, wind speed and accumulated precipitation. AE-33 black carbon meter (hereinafter referred to as AE-33) can online measure the concentration of black carbon aerosol in the 370nm, 470nm, 520nm, 590nm, 660nm, 880nm and 950nm bands of TSP (total suspended particulate matter) in the atmosphere, and the mass absorption cross sections used are 18.47, 14.54, 13.14, 11.58, 10.35, 7.77 and 7.19 m2/g respectively. The official observation period is from June 12, 2021 to August 31, 2021, with a time resolution of 1 minute. The table data has been processed subsequently and is hourly data. The Integrated Nephelometer can measure the scattering coefficient of PM2.5 in the atmosphere at 450nm, 550nm and 700nm on line. The official observation period is from June 12, 2021 to August 31, 2021, with a time resolution of 10 seconds. The table data has been processed subsequently and is hourly data. Aerodynamic Particle Size Spectrometer (hereinafter referred to as APS) can measure 0.5-20 in the atmosphere online μ The number concentration particle size distribution spectrum of particles within m (aerodynamic diameter) particle size range has 50 particle size channels. The official observation period is from June 12, 2021 to August 31, 2021, with a time resolution of 5 minutes. The table data has been processed subsequently and is hourly data. The scanning electromobility particle size spectrometer (SMPS) can measure the particle size distribution of 13.6-514 nm (Stokes diameter) in the atmosphere online; TSI 3752 Condensed Nucleus Particle Counter (CPC) is used to measure the number and concentration of particles. The official observation period is from June 29, 2021 to August 31, 2021, with a time resolution of 5 minutes. The table data has been processed subsequently and is hourly data. The domestic medium flow sampler was used to collect the 90mm diameter quartz filter membrane, water soaked quartz filter membrane and Teflon filter membrane of TSP particle size section. The samples can be used for the analysis of chemical components such as elemental carbon, organic carbon, water-soluble ions and metal elements. The sampling period is from June 23, 2021 to August 29, 2021. The sampling starts at 11:00 a.m. and takes 71 hours each time.
TIAN Pengfei, HUANG Jianping, ZHANG Lei, SHI Jinsen
Carbon particles are an important radiative forcing factor in the atmosphere. Their concentration and composition vary greatly in time and space, especially in remote areas. This data set reports the total suspended particulate matter (TSP), total carbon (TC) and water insoluble particulate carbon (IPC) of PM2.5 at two stations in the remote area of the eastern Qinghai Tibet Plateau (Hongyuan) Δ 14C and δ 13C, the area is affected by severe air pollution from southwest China. The contribution rates of TC fossil fuels in TSP and PM2.5 samples are 18.91 ± 7.22% and 23.13 ± 12.52% respectively, which are far lower than those in Southwest China, indicating the importance of non fossil contributions from local sources. TC in TSP samples at study site δ 13C is 27.06 ± 0.96 ‰, which is between long-distance transport sources (such as the southwest region) and local biomass combustion emissions. This data supplements the database of carbon aerosols in the east of the Tibetan Plateau.
LI Chaoliu
The data set includes the data of total suspended particulates (TSP) of atmospheric aerosols, ambient air temperature and humidity, and aerosol samples taken offline in Namco, Tibet. The online observation instruments are Multi Angle Absorption Photometer (MAAP) and Integrating Nephelometer. The observation time is from August 5, 2020 to September 11, 2020. The data time resolution of the online instrument is 10 seconds. The abnormal data generated during the operation of the instrument has been eliminated. The offline sampling was 47 hours of TSP samples. This data set provides basic data for studying the physical characteristics, temporal and spatial variation characteristics and source analysis of atmospheric dust aerosol in the central plateau. Supported project: Special Topic II of the sixth research task of the second comprehensive scientific expedition to the Qinghai Tibet Plateau (2019QZKK0602).
HUANG Jianping, ZHANG Lei, TIAN Pengfei, SHI Jinsen
Numerical test: The climate model used is the regional climate model RegCM4.1. RegCM4.1 developed by the Italian Research Center for Theoretical Physics (ICTP). In the test of regional model simulation, the horizontal resolution of the atmospheric model is 50 km and the vertical direction is 18 layers; Online coupling sand dust module. Sea surface temperature The sea surface temperature interpolated by OISST is used. The test includes two groups: the Middle Paleocene topographic test (MP,~60Ma BP, test name 60ma_regcm4.1_xxx. nc) and the Late Oligocene (LO,~25Ma BP, test name 25ma_regcM4.1_xxx. nc) The MP regional terrain modification test removed the northern part of the plateau and approximately replaced the terrain distribution of Asian land during the 60Ma period. BP regional terrain modification test only removed the terrain of Pamirs Plateau, approximately replacing the terrain distribution of Asian land during the 25Ma period. The sand and dust source areas of the two tests have not changed, and the sand and dust circulation process has been opened online. Output time: All tests were integrated for 22 years, using the average results of the last 20 years of each test. The data can be used to explain the difference of drought evolution in different regions around the plateau.
SUN Hui
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