Improved Dust Forecast by Assimilating MODIS IR-Based Nighttime AOT in the ADAM2 Model
Author:
Affiliation:
1. National Institute of Meteorological Sciences
2. Korea Institute of Atmospheric Prediction Systems
3. Seoul National University
Publisher
Meteorological Society of Japan
Subject
Atmospheric Science
Link
https://www.jstage.jst.go.jp/article/sola/13/0/13_2017-035/_pdf
Reference27 articles.
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2. Collins, W. D., P. J. Rasch, B. E. Eaton, B. V. Khattatov, and J.-F. Lamarque, 2001: Simulating aerosols using a chemical transport model with assimilation of satellite aerosol retrievals: Methodology for INDOEX. J. Geophys. Res., 106, 7313-7336.
3. Gong, S. L., X. Y. Zhang, T. L. Zhao, I. G. McKendry, D. A. Jaffe, and N. M. Lu, 2003: Characterization of soil dust aerosol in China and its transport and distribution during 2001 ACE-Asia: 2. Model simulation and validation. J. Geophys. Res., 108, 4262, doi:10.1029/2002JD002633.
4. Han, H.-J., and B. J. Sohn, 2013: Retrieving Asian dust AOT and height from hyperspectral sounder measurements: An artificial neural network approach. J. Geophys. Res., 118, 837-845, doi:10.1002/jgrd.50170.
5. Hsu, N. C., R. Gautam, A. M. Sayer, C. Bettenhausen, C. Li, M. J. Jeong, S.-C. Tsay, and B. N. Holben, 2012: Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010. Atmos. Chem. Phys., 12, 8037-8053, doi:10.5194/acp-12-8037-2012.
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