Adjoint inverse modeling of dust emission and transport over East Asia

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

Research output: Contribution to journalArticle

50 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article numberL08806
JournalGeophysical Research Letters
Volume34
Issue number8
DOIs
Publication statusPublished - Apr 28 2007

Fingerprint

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)

Cite this

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

In: Geophysical Research Letters, Vol. 34, No. 8, L08806, 28.04.2007.

Research output: Contribution to journalArticle

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