Dust Model Intercomparison Between ADAM and CFORS/Dust For Asian Dust Case in 2007 (March 28 - April 3)

Seung Bum Kim, Keiya Yumimoto, Itsushi Uno, Youngsin Chun

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


As one of research activities of the Joint Research on Dust and Sand Storms (DSS) among China, Korea and Japan, intercomparison between two operational dust forecasting models (ADAM and CFORS/Dust) has been conducted using the selected DSS case which occurred in 2007. The results of simulations by both models were compared with various observations such as surface PM10, Aerosol Optical Thickness, and dust extinction coefficient. In general, both models produced similar results and the predicted values matched well with the observations, despite differences in emission treatment, the adoption of data assimilation technique, and meteorological inputs. However, a large difference (up to 4 times) in modeled surface PM10 concentrations between the models was observed at sites located in source or near-source regions. For the selected case, the dust emission amount calculated by ADAM was larger than that by CFORS/Dust. The vertical structure of dust layer from the models was different due to the characteristics of meteorological inputs used for each model. This study suggests that the construction of more accurate dust source allocation scheme, comprehensive dust emission treatment, improved meteorological inputs and the development of dust data assimilation technique with various dust observations are required for building a more accurate early-warning system of DSS in East Asia.

Original languageEnglish
Pages (from-to)25-28
Number of pages4
JournalScientific Online Letters on the Atmosphere
Issue numberA
Publication statusPublished - 2011

All Science Journal Classification (ASJC) codes

  • Atmospheric Science


Dive into the research topics of 'Dust Model Intercomparison Between ADAM and CFORS/Dust For Asian Dust Case in 2007 (March 28 - April 3)'. Together they form a unique fingerprint.

Cite this