Forecasting of Asian dust storm that occurred on May 10–13, 2011, using an ensemble-based data assimilation system--颗粒学报PARTICUOLOGY

Yumimoto, K., Murakami, H., Tanaka, T. Y., Sekiyama, T. T., Ogi, A., & Maki, T. (2016). Forecasting of Asian dust storm that occurred on May 10–13, 2011, using an ensemble-based data assimilation system. Particuology, 28, 121-130. https://doi.org/10.1016/j.partic.2015.09.001

Forecasting of Asian dust storm that occurred on May 10–13, 2011, using an ensemble-based data assimilation system

Keiya Yumimoto ^a *, Hiroshi Murakami ^b, Taichu Y. Tanaka ^c, Tsuyoshi T. Sekiyama ^a, Akinori Ogi ^c, Takashi Maki ^a

a Meteorological Research Institute, 1-1 Nagamine, Tsukuba, Ibaraki 305-0052, Japan
b Earth Observation Research Center, Japan Aerospace Exploration Agency, 2-1-1 Sengen, Tsukuba, Ibaraki 305-8505, Japan
c Japan Meteorological Agency, 1-3-4 Otemachi, Chiyoda-ku, Tokyo 100-8122, Japan

10.1016/j.partic.2015.09.001

Volume 28, October 2016, Pages 121-130

Received 9 May 2015, Revised 2 September 2015, Accepted 9 September 2015, Available online 21 November 2015, Version of Record 4 August 2016.

E-mail: yumimoto@mri-jma.go.jp

Highlights

• An assimilation experiment quantifying the impact of assimilation on dust forecasts was conducted.

• AOT processed in the JASMES enabled assimilations in dust storm sources.

• Assimilation results were validated by using PM₁₀ measurements at 33 ground sites.

• The forecast with assimilation reproduced the meridional gradient of the dust storm.

Abstract

An ensemble-based assimilation system that used the MASINGAR mk-2 (Model of Aerosol Species IN the Global AtmospheRe Mark 2) dust forecasting model and satellite-derived aerosol optical thickness (AOT) data, processed in the JAXA (Japan Aerospace Exploration Agency) Satellite Monitoring for Environmental Studies (JASMES) system with MODIS (Moderate Resolution Imaging Spectroradiometer) observations, was used to quantify the impact of assimilation on forecasts of a severe Asian dust storm during May 10–13, 2011. The modeled bidirectional reflectance function and observed vegetation index employed in JASMES enable AOT retrievals in areas of high surface reflectance, making JASMES effective for dust forecasting and early warning by enabling assimilations in dust storm source regions. Forecasts both with and without assimilation were validated using PM₁₀ observations from China, Korea, and Japan in the TEMM WG1 dataset. Only the forecast with assimilation successfully captured the contrast between the core and tail of the dust storm by increasing the AOT around the core by 70–150% and decreasing it around the tail by 20–30% in the 18-h forecast. The forecast with assimilation improved the agreement with observed PM₁₀ concentrations, but the effect was limited at downwind sites in Korea and Japan because of the lack of observational constraints for a mis-forecasted dust storm due to cloud.

Graphical abstract

Keywords

Data assimilation; Aerosol transport model; Ensemble Kalman filter; Satellite observation; Aerosol optical thickness; Asian dust

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