Satoru Chatani

Dr. Satoru Chatani

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 June 2023 in Earth System Science Data
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Journal Article
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MCMonica Crippa
Monica Crippa
DGDiego Guizzardi
Diego Guizzardi
TBTim Butler
Tim Butler
TKTerry Keating
Terry Keating
RWRosa Wu
Rosa Wu
KFKristen Foley
Kristen Foley
This study, performed under the umbrella of the Task Force on Hemispheric Transport of Air Pollution (TF-HTAP), responds to the global and regional atmospheric modelling community's need of a mosaic emission inventory of air pollutants that conforms to specific requirements: global coverage, long time series, spatially distributed emissions with high time resolution, and a high sectoral resolution. The mosaic approach of integrating official regional emission inventories based on locally reported data, with a global inventory based on a globally consistent methodology, allows modellers to perform simulations of high scientific quality while also ensuring that the results remain relevant to policymakers. HTAP_v3, an ad hoc global mosaic of anthropogenic inventories, has been developed by integrating official inventories over specific areas (North America, Europe, Asia including Japan and South Korea) with the independent Emissions Database for Global Atmospheric Research (EDGAR) inventory for the remaining world regions. The results are spatially and temporally distributed emissions of SO2, NOx, CO, non-methane volatile organic compounds (NMVOCs), NH3, PM10, PM2.5, black carbon (BC), and organic carbon (OC), with a spatial resolution of 0.1∘ × 0.1∘ and time intervals of months and years, covering the period 2000–2018 (https://doi.org/10.5281/zenodo.7516361, Crippa, 2023, https://edgar.jrc.ec.europa.eu/dataset_htap_v3, last access: June 2023). The emissions are further disaggregated into 16 anthropogenic emitting sectors. This paper describes the methodology applied to develop such an emission mosaic, reports on source allocation, differences among existing inventories, and best practices for the mosaic compilation. One of the key strengths of the HTAP_v3 emission mosaic is its temporal coverage, enabling the analysis of emission trends over the past 2 decades. The development of a global emission mosaic over such long time series represents a unique product for global air quality modelling and for better-informed policymaking, reflecting the community effort expended by the TF-HTAP to disentangle the complexity of transboundary transport of air pollution.

1 June 2008 in Atmospheric Environment
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Journal Article
Closed access
WWWei Wei
Wei Wei
Shuxiao WangShuxiao Wang
Shuxiao Wang
SCSatoru Chatani
Satoru Chatani
ZKZbigniew Klimont
Zbigniew Klimont
JCJanusz Cofala
Janusz Cofala
JHJiming Hao
Jiming Hao

1 November 2011 in Atmospheric Environment
Verified
Journal Article
Closed access
Shuxiao WangShuxiao Wang
Shuxiao Wang
JXJia Xing
Jia Xing
SCSatoru Chatani
Satoru Chatani
JHJiming Hao
Jiming Hao
ZKZbigniew Klimont
Zbigniew Klimont
MAMarkus Amann
Markus Amann

2 November 2021 in Nature Communications
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Journal Article
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KNKeisuke Nansai
Keisuke Nansai
STSusumu Tohno
Susumu Tohno
SCSatoru Chatani
Satoru Chatani
KKKeiichiro Kanemoto
Keiichiro Kanemoto
SKShigemi Kagawa
Shigemi Kagawa
MLManfred Lenzen
Manfred Lenzen
Worldwide exposure to ambient PM2.5 causes over 4 million premature deaths annually. As most of these deaths are in developing countries, without internationally coordinated efforts this polarized situation will continue. As yet, however, no studies have quantified nation-to-nation consumer responsibility for global mortality due to both primary and secondary PM2.5 particles. Here we quantify the global footprint of PM2.5-driven premature deaths for the 19 G20 nations in a position to lead such efforts. G20 consumption in 2010 was responsible for 1.983 [95% Confidence Interval: 1.685–2.285] million premature deaths, at an average age of 67, including 78.6 [71.5–84.8] thousand infant deaths, implying that the G20 lifetime consumption of about 28 [24–33] people claims one life. Our results indicate that G20 nations should take responsibility for their footprint rather than focusing solely on transboundary air pollution, as this would expand opportunities for reducing PM2.5-driven premature mortality. Given the infant mortality footprint identified, it would moreover contribute to ensuring infant lives are not unfairly left behind in countries like South Africa, which have a weak relationship with G20 nations.

1 April 2016 in Atmospheric Environment
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Journal Article
Closed access
SSSumit Sharma
Sumit Sharma
SCSatoru Chatani
Satoru Chatani
RMRicha Mahtta
Richa Mahtta
AGAnju Goel
Anju Goel
AKAtul Kumar
Atul Kumar

3 April 2024 in Atmospheric Chemistry and Physics
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Journal Article
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MLMeng Li
Meng Li
JKJunichi Kurokawa
Junichi Kurokawa
QZQiang Zhang
Qiang Zhang
JWJung-Hun Woo
Jung-Hun Woo
TMTazuko Morikawa
Tazuko Morikawa
BMBrian C. McDonald
Brian C. McDonald
The MIXv2 Asian emission inventory is developed under the framework of the Model Inter-Comparison Study for Asia (MICS-Asia) Phase IV and produced from a mosaic of up-to-date regional emission inventories. We estimated the emissions for anthropogenic and biomass burning sources covering 23 countries and regions in East, Southeast and South Asia and aggregated emissions to a uniform spatial and temporal resolution for seven sectors: power, industry, residential, transportation, agriculture, open biomass burning and shipping. Compared to MIXv1, we extended the dataset to 2010–2017, included emissions of open biomass burning and shipping, and provided model-ready emissions of SAPRC99, SAPRC07, and CB05. A series of unit-based point source information was incorporated covering power plants in China and India. A consistent speciation framework for non-methane volatile organic compounds (NMVOCs) was applied to develop emissions by three chemical mechanisms. The total Asian emissions for anthropogenic/open biomass sectors in 2017 are estimated as follows: 41.6/1.1 Tg NOx, 33.2/0.1 Tg SO2, 258.2/20.6 Tg CO, 61.8/8.2 Tg NMVOC, 28.3/0.3 Tg NH3, 24.0/2.6 Tg PM10, 16.7/2.0 Tg PM2.5, 2.7/0.1 Tg BC (black carbon), 5.3/0.9 Tg OC (organic carbon), and 18.0/0.4 Pg CO2. The contributions of India and Southeast Asia were emerging in Asia during 2010–2017, especially for SO2, NH3 and particulate matter. Gridded emissions at a spatial resolution of 0.1° with monthly variations are now publicly available. This updated long-term emission mosaic inventory is ready to facilitate air quality and climate model simulations, as well as policymaking and associated analyses.