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The Asian Dust Aerosol Model 2 (ADAM2) with the use of Normalized Difference Vegetation Index (NDVI) obtained from the Spot4/vegetation data

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Abstract

The operational Asian Dust Aerosol Model (ADAM)1 in Korea Meteorological Administration has been modified to the ADAM2 model to be used as an operational forecasting model all year round not only in Korea but also in the whole Asian domain (70-160°E and 5-60°N) using the routinely available World Meteorological Organization (WMO) surface reporting data and the Spot/vegetation Normalized Difference Vegetation Index (NDVI) data for the period of 9 years from 1998 to 2006. The 3-hourly reporting WMO surface data in the Asian domain have been used to re-delineate the Asian dust source region and to determine the temporal variation of the threshold wind speed for the dust rise. The dust emission reduction factor due to vegetation in different surface soil-type regions (Gobi, sand, loess, and mixed soil) has been determined with the use of NDVI data. It is found that the threshold wind speed for the dust rise varies significantly with time (minimum in summer and maximum in winter) and surface soil types with the highest threshold wind speed of 8.0 m s−1 in the Gobi region and the lowest value of 6.0 m s−1 in the loess region. The statistical analysis of the spot/vegetation NDVI data enables to determine the emission reduction factor due to vegetation with the free NDVI value that is the NDVI value without the effect of vegetation and the upper limit value of NDVI for the dust rise in different soil-type regions. The modified ADAM2 model has been implemented to simulate two Asian dust events observed in Korea for the periods from 31 March to 2 April 2007 (a spring dust event) and from 29 to 31 December 2007 (a winter dust event) when the observed PM10 concentration at some monitoring sites in the source region exceeds 9,000 μg m−3. It is found that ADAM2 model successfully simulates the observed high dust concentrations of more than 8,000 μg m−3 in the dust source region and 600 μg m−3 in the downstream region of Korea. This suggests that ADAM2 has a great potential for the use of an operational Asian dust forecast model in the Asian domain.

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Acknowledgments

This work was funded by the Korea Meteorological Administration Research and Development Program under Grant CATER 2008-3208. Thanks are given to four anonymous reviewers for their helpful comments.

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Authors and Affiliations

  1. Center for Atmospheric and Environmental Modeling, Seoul National University Research Park, Rm. 515, San 4-2, Bongcheon-dong, Gwanak-gu, Seoul, South Korea, 151-919

    Soon-Ung Park, Anna Choe & Moon-Soo Park

  2. Seoul National University, Seoul, 151-747, South Korea

    Eun-Hee Lee

  3. Peking University, Beijing, 100871, China

    Xingzhuo Song

Authors
  1. Soon-Ung Park
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  2. Anna Choe
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  3. Eun-Hee Lee
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  4. Moon-Soo Park
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  5. Xingzhuo Song
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Corresponding author

Correspondence to Soon-Ung Park.

Appendix

Appendix

Appendix The dust occurrence probability density function (\( {P_0} = {a_0} + {a_1}x + {a_2}{x^2} + {a_3}{x^3} \)) with the R2 value, free NDVI value (FNV) and upper limit value of NDVI for dust occurrence (UNV) in the Gobi, Sand, Loess, and mixed-soil region
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Park, SU., Choe, A., Lee, EH. et al. The Asian Dust Aerosol Model 2 (ADAM2) with the use of Normalized Difference Vegetation Index (NDVI) obtained from the Spot4/vegetation data. Theor Appl Climatol 101, 191–208 (2010). https://doi.org/10.1007/s00704-009-0244-4

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  • DOI: https://doi.org/10.1007/s00704-009-0244-4

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