New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

The Geostationary Environment Monitoring Spectrometer (GEMS) is scheduled for launch in February 2020 to monitor air quality (AQ) at an unprecedented spatial and temporal resolution from a geostationary Earth orbit (GEO) for the first time. With the development of UV–visible spectrometers at sub-nm spectral resolution and sophisticated retrieval algorithms, estimates of the column amounts of atmospheric pollutants (O ₃, NO ₂, SO ₂, HCHO, CHOCHO, and aerosols) can be obtained. To date, all the UV–visible satellite missions monitoring air quality have been in low Earth orbit (LEO), allowing one to two observations per day. With UV–visible instruments on GEO platforms, the diurnal variations of these pollutants can now be determined. Details of the GEMS mission are presented, including instrumentation, scientific algorithms, predicted performance, and applications for air quality forecasts through data assimilation. GEMS will be on board the Geostationary Korea Multi-Purpose Satellite 2 (GEO-KOMPSAT-2) satellite series, which also hosts the Advanced Meteorological Imager (AMI) and Geostationary Ocean Color Imager 2 (GOCI-2). These three instruments will provide synergistic science products to better understand air quality, meteorology, the long-range transport of air pollutants, emission source distributions, and chemical processes. Faster sampling rates at higher spatial resolution will increase the probability of finding cloud-free pixels, leading to more observations of aerosols and trace gases than is possible from LEO. GEMS will be joined by NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) and ESA’s Sentinel-4 to form a GEO AQ satellite constellation in early 2020s, coordinated by the Committee on Earth Observation Satellites (CEOS).

Related collections

Most cited references 111

Record: found
Abstract: not found
Article: not found

AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization

B.N. Holben, T.F. Eck, I. Slutsker … (1998)

0 comments Cited 1192 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: found

Is Open Access

Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015

AARON COHEN, Michael Brauer, Richard Burnett … (2017)

Summary Background Exposure to ambient air pollution increases morbidity and mortality, and is a leading contributor to global disease burden. We explored spatial and temporal trends in mortality and burden of disease attributable to ambient air pollution from 1990 to 2015 at global, regional, and country levels. Methods We estimated global population-weighted mean concentrations of particle mass with aerodynamic diameter less than 2·5 μm (PM2·5) and ozone at an approximate 11 km × 11 km resolution with satellite-based estimates, chemical transport models, and ground-level measurements. Using integrated exposure–response functions for each cause of death, we estimated the relative risk of mortality from ischaemic heart disease, cerebrovascular disease, chronic obstructive pulmonary disease, lung cancer, and lower respiratory infections from epidemiological studies using non-linear exposure–response functions spanning the global range of exposure. Findings Ambient PM2·5 was the fifth-ranking mortality risk factor in 2015. Exposure to PM2·5 caused 4·2 million (95% uncertainty interval [UI] 3·7 million to 4·8 million) deaths and 103·1 million (90·8 million 115·1 million) disability-adjusted life-years (DALYs) in 2015, representing 7·6% of total global deaths and 4·2% of global DALYs, 59% of these in east and south Asia. Deaths attributable to ambient PM2·5 increased from 3·5 million (95% UI 3·0 million to 4·0 million) in 1990 to 4·2 million (3·7 million to 4·8 million) in 2015. Exposure to ozone caused an additional 254 000 (95% UI 97 000–422 000) deaths and a loss of 4·1 million (1·6 million to 6·8 million) DALYs from chronic obstructive pulmonary disease in 2015. Interpretation Ambient air pollution contributed substantially to the global burden of disease in 2015, which increased over the past 25 years, due to population ageing, changes in non-communicable disease rates, and increasing air pollution in low-income and middle-income countries. Modest reductions in burden will occur in the most polluted countries unless PM2·5 values are decreased substantially, but there is potential for substantial health benefits from exposure reduction. Funding Bill & Melinda Gates Foundation and Health Effects Institute.

0 comments Cited 1192 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

The Collection 6 MODIS aerosol products over land and ocean

R. C. Levy, S Mattoo, L. A. Munchak … (2013)

0 comments Cited 345 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Journal

Title: Bulletin of the American Meteorological Society

Publisher: American Meteorological Society

ISSN (Print): 0003-0007

ISSN (Electronic): 1520-0477

Publication date Created: January 2020

Publication date (Print): January 2020

Volume: 101

Issue: 1

Pages: E1-E22

Affiliations

[1 ]Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea

[2 ]Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea, and NASA Goddard Space Flight Center, Greenbelt, and Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, Maryland

[3 ]Ewha Womans University, Seoul, South Korea

[4 ]Pusan National University, Busan, South Korea

[5 ]School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea

[6 ]Pukyong National University, Busan, South Korea

[7 ]Gwangju Institute of Science and Technology, Gwangju, South Korea

[8 ]Gangneung Wonju National University, Gangneung, South Korea

[9 ]Kyungpook National University, Daegu, South Korea

[10 ]Ulsan National Institute of Science and Technology, Ulsan, South Korea

[11 ]Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea, and Universities Space Research Association, Columbia, and NASA Goddard Space Flight Center, Greenbelt, Maryland

[12 ]Harvard–Smithsonian Center for Astrophysics, Cambridge, Massachusetts

[13 ]NASA Langley Research Center, Hampton, Virginia

[14 ]ESTEC, ESA, Noordwijk, Netherlands

[15 ]NASA Goddard Space Flight Center, Greenbelt, Maryland

[16 ]Science Systems and Applications Inc., Lanham, Maryland

[17 ]Korea Aerospace Research Institute, Daejeon, South Korea

[18 ]Konkuk University, Seoul, South Korea

[19 ]Department of Atmospheric Sciences, Yonsei University, Seoul, and Ulsan National Institute of Science and Technology, Ulsan, South Korea

[20 ]Ball Aerospace and Technology Corp., Boulder, Colorado

[21 ]National Institute of Environmental Research, Incheon, South Korea

[22 ]Pukyong National University, Busan, and National Institute of Environmental Research, Incheon, South Korea

[23 ]Gwangju Institute of Science and Technology, Gwangju, and National Institute of Environmental Research, Incheon, South Korea

[24 ]Royal Netherlands Meteorological Institute (KNMI), De Bilt, and Delft University of Technology, Delft, Netherlands

[25 ]National Center for Atmospheric Research, Boulder, Colorado

[26 ]Pusan National University, Busan, South Korea, and Harvard–Smithsonian Center for Astrophysics, Cambridge, Massachusetts

[27 ]Ewha Womans University, Seoul, and Korea Aerospace Research Institute, Daejeon, South Korea

[28 ]Chiba University, Chiba, Japan

[29 ]Nara Women’s University, Nara, and Research Institute for Humanity and Nature, Kyoto, Japan

[30 ]National Institute of Information and Communication Technology, Tokyo, Japan

[31 ]Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan

[32 ]University of Science and Technology of China, Hefei, China

[33 ]Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China

[34 ]University of Iowa, Iowa City, Iowa

[35 ]University of Alabama in Huntsville, Huntsville, Alabama

[36 ]NASA Headquarters, Washington, D.C.

[37 ]Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, Maryland

[38 ]Hong Kong University of Science and Technology, Kowloon, Hong Kong

[39 ]Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California

[40 ]EUMETSAT, Darmstadt, Germany

[41 ]York University, Toronto, Ontario, Canada

[42 ]University of Houston, Houston, Texas

Article

DOI: 10.1175/BAMS-D-18-0013.1

SO-VID: 10eb5e4f-6663-4fe3-a8e4-bb6cbe7c01a5

History

Data availability:

Comments

Comment on this article

scite_

Cited by 23

See all cited by

Most referenced authors 2,138

See all reference authors

New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)

Read this article at

Abstract

Related collections

Pneumonia, sex, and the environment

Most cited references 111

AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization

Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015

The Collection 6 MODIS aerosol products over land and ocean

Author and article information

Journal

Affiliations

Article

History

Comments

Comment on this article

Similar content 128

Cited by 23

Most referenced authors 2,138