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 journalArticlepeer-review

59 Citations (Scopus)


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
Issue number8
Publication statusPublished - Apr 28 2007

All Science Journal Classification (ASJC) codes

  • Geophysics
  • General Earth and Planetary Sciences


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