Japanese

Research outline

Development of the numerical model, SPRINTARS, which can simulate and predict global distributions of main atmospheric aerosols.

Suspended particle matters (aerosols) are soil dust particles from deserts and sea salt particles from sea surface which are natural sources, and sulfate, black carbon, and organic matter from fossil fuel and biomass burning which are anthropogenic sources. We have developed SPRINTARS which can simulate and predict their global distributions with computers.

Evaluation of climate change due to aerosols with SPRINTARS

Aerosols cause climate change through the aerosol-radiation interaction (direct effect) in which they scatter and absorb the solar and thermal radiation, the aerosol-cloud interaction (indirect effect) in which they alter microphysical and optical properties of cloud droplets and ice crystals acting as cloud condensation and ice nuclei, and etc. We analyze climate change due to aerosols through improvements of the climate model and earth system model incorporating SPRINTARS.

Development of the aerosol forecasting system with SPRINTARS

Air pollution due to PM2.5 and soil dust is a social problem. We are operating an aerosol forecasting system with SPRINTARS every day. We also study for more accurate aerosol forecast. PM2.5 forecast by SPRINTARS is put to practical use for daily life through TV/radio programs, newspapers, external websites, and apps, especially in Japan.

Study on atmospheric dynamical processes through analyzing the trace gases data from satellite observation

To understand the dynamical coupling between the stratosphere and troposphere, especially in the Tropical Tropopause Layer (TTL), the trace gases and ice clouds observed from satellites are investigated.

Development and improvement of retrieval methods for ice clouds and greenhouse gases from the satellite data GOSAT observational data

The parameters of cirrus cloud are derived from the spectra (shortwave and thermal infrared) of GOSAT (Greenhouse gases Observing SATelite)/TANSO-FTS (Thermal And Near-infrared Sensor for carbon Observation – Fourier Transform Spectrometer). The derived cloud information is used for improvement of retrieval processes of trace gases, e.g., CO2 and CH4.

Development of advanced new cloud-precipitation microphysics scheme for climate models

Modeling cloud and precipitation processes is one of the largest source of uncertainties in climate models, since they interact with aerosols nonlinearly. To improve the aerosol-cloud-precipitation interactions more physically, we develop an advanced microphysical framework by linking with the process-level understanding which derived from synergistic use of satellite observations.

Evaluation of aerosol-cloud-precipitation interactions by using satellite simulators

CFMIP Observational Simulator Package (COSP) is a software which provides virtual satellite retrievals in a model, and therefore it is helpful for fair comparison between the model and satellite observations. We investigate the source of discrepancy in aerosol-cloud-precipitation interactions between models and observations by using COSP, and aim to improve the common biases in climate models.

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