Aerosol optical thickness in the three polar region V1.0 (2000-2019)


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.


Data file naming and use method

File name: the data is stored in the HDF grid format with the file name yyyy_ddd_daily_mosiac_aprs_mod04.hdf,Where yyyy represents the year and DDD represents the date, such as 2000_061_daily_mosiac_aprs_mod04.hdf describes the optical thickness of the 61st synoptic sol in 2000.
Data reading mode: Arcgis software and program can be used to open the main value of the grid represents the aerosol optical thickness.


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Cite as:

GUANG Jie. Aerosol optical thickness in the three polar region V1.0 (2000-2019). A Big Earth Data Platform for Three Poles, 2019. doi: 10.11888/Meteoro.tpdc.270260. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


Support Program

CASEarth:Big Earth Data for Three Poles(grant No. XDA19070000) (No:XDA19000000)

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 180.00 West: -180.00
South: -60.00 North: 90.00
Detail
  • Temporal resolution: Daily
  • Spatial resolution: km
  • File size: 12,000 MB
  • Browse count: 1,750 Times
  • Apply count: 5 Times
  • Share mode: online
  • Temporal coverage: 2000-01-09 To 2019-02-08
  • Updated time: 2019-10-28
Contact Information
: GUANG Jie  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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