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Daily RF AOD dataset in the Sichuan Basin, China (2015-2020)
  • 2023/08/25 15:20
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English name
Daily RF AOD dataset in the Sichuan Basin, China (2015-2020)
CSTR
CSTR:11738.11.NCDC.ZENODO.DB3945.2023
DOI
10.5281/zenodo.7641262
Share type
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Category
Meteorology
contributors
JIANG Mengjiao
Datasets description

  The random forest (RF) machine learning method and multiple datasets are used to establish aerosol optical depth (AOD) dataset in the cloudy Sichuan Basin. Multiple datasets include ground-based PM10 and PM2.5, the AOD from the Sun-sky radiometer Observation Network (SONET) and the Second Modern-Era Retrospective analysis for Research and Applications (MERRA-2) aerosol reanalysis, and several meteorological variables.

Base information
collect time 2015/01/01  -  2020/12/31
collect place Sichuan Basin
data size 2.2 MiB
data format txt
Data time resolution day
Data thumbnail
Data source description

  Simulate using machine learning methods.

Data processing method

  Using random forest (RF) machine learning method and multiple datasets to establish a cloudy aerosol optical depth (AOD) dataset for the Sichuan Basin.

Data quality description

  The data quality is good.

Citations and annotations
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For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference
  1. JIANG Mengjiao. Daily RF AOD dataset in the Sichuan Basin, China (2015-2020). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2023. https://cstr.cn/CSTR:11738.11.NCDC.ZENODO.DB3945.2023.
  2. JIANG Mengjiao. Daily RF AOD dataset in the Sichuan Basin, China (2015-2020). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2023. https://www.doi.org/10.5281/zenodo.7641262.
Papers to be cited
  1. Jiang Mengjiao, Chen Zhihang, Yang Yinshan, Ni Changjian, Yang Qi. Establishment of aerosol optical depth dataset in the Sichuan Basin by the random forest approach[J]. Atmospheric Pollution Research, 2022, 13, (5):101394. DOI: https://doi.org/10.1016/j.apr.2022.101394.
    Reference format： Endnote Bibtex RIS
license agreement
# title file size
1 Daily RF-AOD dataset in the Sichuan Basin (2015-2020).zip 2.2 MiB
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How to get the data 
east 108.00
west 103.00
south  28.00
north  32.00
Export metadata
Contact information
contributors:
JIANG Mengjiao
author:
JIANG Mengjiao
manager:
JIANG Mengjiao
Platform Service information
contacts:
Li Hongxing
phone:
0931-4967592
mailbox:
ncdc@lzb.ac.cn

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