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Jun-ichi Kurokawa

Researcher at National Institute for Environmental Studies

Publications -  39
Citations -  2372

Jun-ichi Kurokawa is an academic researcher from National Institute for Environmental Studies. The author has contributed to research in topics: Emission inventory & Deposition (aerosol physics). The author has an hindex of 16, co-authored 39 publications receiving 1698 citations. Previous affiliations of Jun-ichi Kurokawa include Fujitsu.

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MIX: a mosaic Asian anthropogenic emission inventory under the international collaboration framework of the MICS-Asia and HTAP

TL;DR: The MIX inventory as discussed by the authors is developed for the years 2008 and 2010 to support the Model Inter-Comparison Study for Asia (MICS-Asia) and the Task Force on Hemispheric Transport of Air Pollution (TF HTAP) by a mosaic of up-to-date regional emission inventories.
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CHASER: A global chemical model of the troposphere 1. Model description

TL;DR: Sudo et al. as discussed by the authors presented a new global three-dimensional chemical model for the troposphere, named chemical atmospheric general circulation model (AGCM), for study of atmospheric environment and radiative forcing (CHASER), developed in the framework of the Center for Climate System Research/National Institute for Environment Studies (CCSR/NIES) AGCM.
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Long-term historical trends in air pollutant emissions in Asia: Regional Emission inventory in ASia (REAS) version 3

TL;DR: A long-term historical emission inventory of air and climate pollutants in East, Southeast, and South Asia from 1950-2015 was developed as the Regional Emission inventory in ASIA version 3.1.
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Comparison of emissions inventories of anthropogenic air pollutants and greenhouse gases in China

TL;DR: In this paper, the authors compare five different emissions inventories estimating emissions of carbon dioxide (CO2), carbon monoxide (CO), nitrogen oxides (NOx), sulfur dioxide (SO2), and particulate matter with an aerodynamic diameter of 10 µm or less (PM10) from China.
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Key chemical NOx sink uncertainties and how they influence top-down emissions of nitrogen oxides

TL;DR: In this paper, the influence of chemical uncertainties in NO x sinks for global NO x distributions calculated by the IMAGESv2 chemistry-transport model, and quantifies their significance for top-down NO x emission estimates.