A24E-03
An effort for developing a seamless transport modeling and remote sensing system for air pollutants

Tuesday, 15 December 2015: 16:30
3006 (Moscone West)
Teruyuki Nakajima1, Daisuke Goto2, Tie Dai3, Shota Misawa4, Junya Uchida5, Nick Schutgens6, Makiko Hashimoto7, Eiji Oikawa2, Hideaki Takenaka8, Haruo Tsuruta9, Toshiro Inoue4 and Akiko Higurashi10, (1)JAXA Japan Aerospace Exploration Agency, Earth Observation Research Center, Sagamihara, Japan, (2)NIES National Institute of Environmental Studies, Ibaraki, Japan, (3)IAP Insititute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (4)Atmosphere and Ocean Research Institute University of Tokyo, Kashiwa-shi, Japan, (5)University of Tokyo, Bunkyo-ku, Japan, (6)University of Oxford, Oxford, United Kingdom, (7)JAXA Japan Aerospace Exploration Agency, Sagamihara, Japan, (8)JAXA Japan Aerospace Exploration Agency, Tsukuba, Japan, (9)RESTEC Remote Sensing Technology Center of Japan, Tokyo, Japan, (10)National Institute for Environmental Studies, Tsukuba, Japan
Abstract:
Wide area of the globe, like Asian region, still suffers from a large emission of air pollutants and cause serious impacts on the earth's climate and the public health of the area. Launch of an international initiative, Climate and Clean Air Coalition (CCAC), is an example of efforts to ease the difficulties by reducing Short-Lived Climate Pollutants (SLCPs), i.e., black carbon aerosol, methane and other short-lived atmospheric materials that heat the earth's system, along with long-lived greenhouse gas mitigation. Impact evaluation of the air pollutants, however, has large uncertainties.

We like to introduce a recent effort of projects MEXT/SALSA and MOEJ/S-12 to develop a seamless transport model for atmospheric constituents, NICAM-Chem, that is flexible enough to cover global scale to regional scale by the NICAM nonhydrostatic dynamic core (NICAM), coupled with SPRINTARS aerosol model, CHASER atmospheric chemistry model and with their three computational grid systems, i.e. quasi homogeneous grids, stretched grids and diamond grids. A local ensemble transform Kalman filter/smoother with this modeling system was successfully applied to data from MODIS, AERONET, and CALIPSO for global assimilation/inversion and surface SPM and SO2 air pollution monitoring networks for Japanese area assimilation.

My talk will be extended to discuss an effective utility of satellite remote sensing of aerosols using Cloud and Aerosol Imager (CAI) on board the GOSAT satellite and Advanced Himawari Imager (AHI) on board the new third generation geostationary satellite, Himawari-8. The CAI has a near-ultraviolet channel of 380nm with 500m spatial resolution and the AHI has high frequency measurement capability of every 10 minutes. These functions are very effective for accurate land aerosol remote sensing, so that a combination with the developed aerosol assimilation system is promising.

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