Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Chen, Jie; Wu, Zhijun; Wu, Guangming; Gong, Xianda; Wang, Feng; Chen, Jingchuan; Shi, Guo Liang; Hu, Min; Cong, Zhiyuan (2020): Source apportionment analysis from the Tibetan Plateau [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.923855, In: Chen, J et al. (2020): Ice-Nucleating Particle Concentrations and Sources in Rainwater over the Third Pole, Tibetan Plateau [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.923856

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
This data gives the contributions of different sources (Marine and salt-lake, dust, biomass burning and long-range transport anthropogenic pollutants) to chemical components measured in rainwater resulted from the Positive Matrix Factorization Model developed by Environmental Protection Agency (EPA-PMF).
Keyword(s):
Ice Nucleating Particle; Rainwater; Tibetan Plateau
Related to:
Chen, Jie; Wu, Zhijun; Wu, Guangming; Gong, Xianda; Wang, Feng; Shi, Guo Liang; Hu, Min; Cong, Zhiyuan (submitted): Ice-Nucleating Particle Concentrations and Sources in Rainwater over the Third Pole, Tibetan Plateau. Journal of Geophysical Research: Atmospheres
Coverage:
Latitude: 30.731990 * Longitude: 90.685710
Event(s):
Nam_Co * Latitude: 30.731990 * Longitude: 90.685710 * Location: Tibetan Plateau * Method/Device: Multiple investigations (MULT)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Sample IDSample IDGong, Xianda
Date/time startDate/time startGong, Xianda
Date/time endDate/time endGong, Xianda
Components, chemicalComp chemµg/lGong, XiandaPositive Matrix Factorization ModelDust
Components, chemicalComp chemµg/lGong, XiandaPositive Matrix Factorization ModelMarine and salt-lake
Components, chemicalComp chemµg/lGong, XiandaPositive Matrix Factorization ModelLong range transport anthropogenic emssion
Components, chemicalComp chemµg/lGong, XiandaPositive Matrix Factorization ModelBiomass burning
Size:
238 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Sample ID

Date/time start

Date/time end

Comp chem [µg/l]
(Dust)

Comp chem [µg/l]
(Marine and salt-lake)

Comp chem [µg/l]
(Long range transport anthropo...)

Comp chem [µg/l]
(Biomass burning)
01032018-03-01T12:002018-04-01T00:001220.020.00354.391021.96
04012018-01-04T12:002018-02-04T00:005975.98516.590.001115.72
06142018-06-14T14:002018-06-15T02:00395.152358.371195.432762.11
06292018-06-29T12:002018-06-30T00:0092.640.00460.582243.55
06302018-06-30T12:002018-01-07T00:001861.961303.8388.27799.49
07022018-02-07T12:002018-03-07T00:00139.001028.72249.301515.19
07042018-04-07T12:002018-05-07T00:00129.39167.47398.57980.34
07172018-07-17T12:002018-07-18T00:00102.84498.84391.89582.86
07212018-07-21T12:002018-07-22T00:00144.560.004.411249.46
07282018-07-28T12:002018-07-29T00:06150.06802.33782.741075.25
07292018-07-29T12:002018-07-30T00:00102.855127.84521.401191.29
0731(D)2018-07-31T07:002018-07-31T12:00401.05805.400.002441.45
0731(N)2018-07-31T12:002018-01-08T12:00124.32169.5286.28859.05
08012018-01-08T12:002018-02-08T00:00130.41508.030.001249.46
08022018-02-08T12:002018-03-08T00:00466.94563.08767.990.00
08172018-08-17T13:152018-08-18T00:0046.05503.79826.98538.47
08192018-08-19T17:002018-08-20T02:3057.88185.13305.47589.22
08202018-08-20T16:002018-08-21T01:30154.00458.39249.99631.90
08232018-08-23T12:002018-08-24T00:0023.53543.58681.96431.99
08242018-08-24T06:002018-08-24T18:0061.88120.12228.65159.56
08262018-08-26T15:302018-08-27T02:3087.865815.91337.761474.92
08282018-08-28T12:002018-08-29T00:00129.35290.53368.22538.09
08302018-08-30T12:002018-08-31T00:00399.83540.10856.92683.04
08312018-08-31T12:002018-01-09T00:0093.580.00476.95988.02
09022018-02-09T12:002018-03-09T00:000.00241.64992.56115.12
09112018-11-09T08:002018-11-09T20:000.00334.911599.601687.47
09122018-12-09T12:002018-09-13T00:000.001653.501693.59131.70
09142018-09-14T12:002018-09-15T00:00233.901660.331571.830.00
0920(D)2018-09-20T00:002018-09-20T12:00286.65609.053739.001952.09
0920(N)2018-09-20T12:002018-09-21T00:0031.62871.502849.480.00
09222018-09-22T12:002018-09-23T00:00820.83145.2049.281605.50
10032018-03-10T12:002018-04-10T00:0085.5275.86617.01811.71
10042018-04-10T12:002018-05-10T00:0060.92134.24608.12838.47
10052018-05-10T12:002018-06-10T00:00502.61106.041473.29190.21