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Chen, Jie; Wu, Zhijun; Wu, Guangming; Gong, Xianda; Wang, Feng; Chen, Jingchuan; Shi, Guo Liang; Hu, Min; Cong, Zhiyuan (2020): Residence time of different land covers in Tibetan Plateau [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.923854, 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

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Abstract:
This data shows the calculated percentage of residence time when air masses passed over different land covers (vegetation,agriculture,bare area, water/ice and urban area), coupling the back forward trajectories analysis and land cover dataset obtained from Geographic Information System (GIS)
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
Residence timeResidence t%Gong, XiandaObtained from Geographic Information System (GIS)Vegetation
Residence timeResidence t%Gong, XiandaObtained from Geographic Information System (GIS)Agriculture
Residence timeResidence t%Gong, XiandaObtained from Geographic Information System (GIS)Bare area
Residence timeResidence t%Gong, XiandaObtained from Geographic Information System (GIS)Water/ice
Residence timeResidence t%Gong, XiandaObtained from Geographic Information System (GIS)Urban area
Size:
272 data points

Data

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


Sample ID

Date/time start

Date/time end

Residence t [%]
(Vegetation)

Residence t [%]
(Agriculture)

Residence t [%]
(Bare area)

Residence t [%]
(Water/ice)

Residence t [%]
(Urban area)
01032018-03-01T12:002018-04-01T00:0067.66722.6604.3125.2920.06888250
04012018-01-04T12:002018-02-04T00:0041.1565.53343.2899.9910.03048010
06142018-06-14T14:002018-06-15T02:0055.82735.1743.5725.3240.10300000
06292018-06-29T12:002018-06-30T00:0063.45226.9701.0498.3570.17200000
06302018-06-30T12:002018-01-07T00:0061.99032.2001.4884.2930.02799520
07022018-02-07T12:002018-03-07T00:0029.19536.4070.65933.5890.15000000
07042018-04-07T12:002018-05-07T00:0028.49550.0380.99920.0260.44200000
07172018-07-17T12:002018-07-18T00:0051.76540.4791.0656.5550.13600000
07212018-07-21T12:002018-07-22T00:0067.72527.9971.0643.1750.03918230
07282018-07-28T12:002018-07-29T00:0647.18224.2371.31927.2120.04961200
07292018-07-29T12:002018-07-30T00:0058.75424.0071.10816.0190.11100000
0731(D)2018-07-31T07:002018-07-31T12:0030.04524.9500.83743.9650.20400000
0731(N)2018-07-31T12:002018-01-08T12:0065.87030.2060.8633.0250.03688670
08012018-01-08T12:002018-02-08T00:0066.94429.8061.0282.1910.03120760
08022018-02-08T12:002018-03-08T00:0062.79733.4510.9402.7990.01338230
08172018-08-17T13:152018-08-18T00:0062.52033.7360.4973.2050.04172740
08192018-08-19T17:002018-08-20T02:3082.58914.7410.6142.0500.00657887
08202018-08-20T16:002018-08-21T01:3064.38031.5941.1712.7980.05640690
08232018-08-23T12:002018-08-24T00:0071.70723.5341.6912.9820.08652540
08242018-08-24T06:002018-08-24T18:0054.15729.1210.98715.5750.16100000
08262018-08-26T15:302018-08-27T02:3057.75622.1852.21017.6730.17600000
08282018-08-28T12:002018-08-29T00:0069.06527.3521.3922.0990.09115230
08302018-08-30T12:002018-08-31T00:0060.91033.3991.3964.2600.03571370
08312018-08-31T12:002018-01-09T00:0052.28829.3640.93017.4070.01152450
09022018-02-09T12:002018-03-09T00:0048.23028.9371.42321.3230.08666580
09112018-11-09T08:002018-11-09T20:0033.59330.2561.33834.6790.13400000
09122018-12-09T12:002018-09-13T00:0050.76240.5341.6297.0410.03358720
09142018-09-14T12:002018-09-15T00:0036.20849.0012.24712.2950.24800000
0920(D)2018-09-20T00:002018-09-20T12:0070.09523.5991.2215.0670.01766780
0920(N)2018-09-20T12:002018-09-21T00:0067.99827.2740.7553.9620.01132030
09222018-09-22T12:002018-09-23T00:0072.35220.3271.6815.6380.00193059
10032018-03-10T12:002018-04-10T00:0036.53354.3700.9767.6710.45000000
10042018-04-10T12:002018-05-10T00:0027.85665.8570.7455.1780.36400000
10052018-05-10T12:002018-06-10T00:0026.98967.1400.9534.5880.33000000