Adjoint inverse modeling of dust emission and transport over East Asia

K. Yumimoto, I. Uno, N. Sugimoto, A. Shimizu, S. Satake

研究成果: ジャーナルへの寄稿記事

50 引用 (Scopus)

抄録

A four-dimensional variational (4DVAR) data assimilation system was developed for a regional dust model. This report presents results of the first adjoint inversion of Asian dust emissions over East Asia using NIES LIDAR observations, targeting the extreme dust phenomenon on 30 April 2005. Optimized dust emissions mitigated underestimation of dust concentrations and brought the structure of the elevated dust layer (both onset timing and extinction coefficient intensity) into better agreement with LIDAR observations. We obtained a 31% (3.2 Tg) increase of calculated dust emissions through data assimilation, especially over the Mongolian region. The assimilated results agree with the TOMS AI distribution and indicate that the 4DVAR method is very powerful for unification of observation and numerical modeling. The method provides better estimation capability.

元の言語英語
記事番号L08806
ジャーナルGeophysical Research Letters
34
発行部数8
DOI
出版物ステータス出版済み - 4 28 2007

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dust
modeling
assimilation
data assimilation
Total Ozone Mapping Spectrometer
TOMS
extinction coefficient
Asia
targeting
extinction
time measurement
inversions
coefficients
method

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Earth and Planetary Sciences(all)

これを引用

Adjoint inverse modeling of dust emission and transport over East Asia. / Yumimoto, K.; Uno, I.; Sugimoto, N.; Shimizu, A.; Satake, S.

:: Geophysical Research Letters, 巻 34, 番号 8, L08806, 28.04.2007.

研究成果: ジャーナルへの寄稿記事

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