Browse > Article
http://dx.doi.org/10.14191/Atmos.2018.28.2.201

Benefits of the Next Generation Geostationary Meteorological Satellite Observation and Policy Plans for Expanding Satellite Data Application: Lessons from GOES-16  

Kim, Jiyoung (National Meteorological Satellite Center, Korea Meteorological Administration)
Jang, Kun-Il (National Meteorological Satellite Center, Korea Meteorological Administration)
Publication Information
Atmosphere / v.28, no.2, 2018 , pp. 201-209 More about this Journal
Abstract
Benefits of the next generation geostationary meteorological satellite observation (e.g., GEO-KOMPSAT-2A) are qualitatively and comprehensively described and discussed. Main beneficial phenomena for application can be listed as tropical cyclones (typhoon), high impact weather (heavy rainfall, lightning, and hail), ocean, air pollution (particulate matter), forest fire, fog, aircraft icing, volcanic eruption, and space weather. The next generation satellites with highly enhanced spatial and temporal resolution images, expanding channels, and basic and additional products are expected to create the new valuable benefits, including the contribution to the reduction of socioeconomic losses due to weather-related disasters. In particular, the new satellite observations are readily applicable to early warning and very-short time forecast application of hazardous weather phenomena, global climate change monitoring and adaptation, improvement of numerical weather forecast skill, and technical improvement of space weather monitoring and forecast. Several policy plans for expanding the application of the next generation satellite data are suggested.
Keywords
Geostationary; meteorological satellites; benefits; GEO-KOMPSAT-2A; GOES-16;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Anderson, G. D., 2010: The first weather satellite picture. Weather, 65, 87-87, doi:10.1002/wea.550.   DOI
2 Bard, S. K., T. A. Doehring, and S. T. Sonka, 2008: Potential socio-economic benefits of GOES-R. 88th AMS Annual Meeting. 5th GOES User's Conference. New Orleans, LA, USA.
3 Brown, M. E., and C. Wooldridge, 2016: Identifying and quantifying benefits of meteorological satellites. Bull. Amer. Meteor. Soc., 97, 182-186, doi:10.1175/BAMSD-14-00224.1.   DOI
4 Choi, C. Q., cited 2010: How weather satellites changed the world [Available online at https://www.space.com/8186-weather-satellites-changed-world.html.].
5 COMET Program, cited 2016: GOES-R: Benefits of Next-Generation Environmental Monitoring [Available online at https://www.meted.ucar.edu/training_module.php?id=509#.WxoWBe6FOUk.].
6 Goodman, S. J., and Coauthors, 2012: The GOES-R proving ground: Accelerating user readiness for the Next-Generation Geostationary Environmental Satellite System. Bull. Amer. Meteor. Soc., 93, 1029-1040, doi:10.1175/BAMS-D-11-00175.1.   DOI
7 Goodman, S. J., 2015: Societal benefits and economic value of the GOES-R series satellites. 20th Conference on Satellite Meteorology and Oceanography, Phoenix, AZ, USA, Amer. Meteor. Soc. [Available online at https://ams.confex.com/ams/95Annual/webprogram/Paper268833.html.].
8 Hillger, D. W., 2008: GOES-R Advanced Baseline Imager Color Product Development. J. Atmos. Oceanic Technol., 25, 853-872.   DOI
9 JMA (Japan Meteorological Agency), cited 2016: Imager (AHI) [Available online at http://www.data.jma.go.jp/mscweb/en/himawari89/space_segment/spsg_ahi.html.].
10 Kim, J., and K.-I. Jang, 2017: Climate influences of galactic cosmic rays (GCR): review and implications for research policy. Atmosphere, 27, 499-509, doi:10.14191/Atmos.2017.27.4.499 (in Korean with English abstract).   DOI
11 Kim, M., H. M. Kim, J. Kim, S. Kim, C. Velden, and B. Hoover, 2017: Effect of enhanced satellite-derived atmospheric motion vectors on numerical weather prediction in East Asia using an adjoint-based observation impact method. Wea. Forecasting, 32, 579-594, doi:10.1175/WAF-D-16-0061.1.   DOI
12 Schmit, T. J., M. M. Gunshor, W. P. Menzel, J. J. Gurka, J. Li, and S. Bachmeier, 2005: Introducing the next-generation advanced baseline imager on GOES-R. Bull. Amer. Meteor. Soc., 86, 1079-1096.   DOI
13 Mohr, T., 2014: Preparing the use of new generation geostationary meteorological satellites [Available online at https://public.wmo.int/en/resources/bulletin/preparing-use-of-new-generation-geostationary-meteorological-satellites.].
14 NAS (National Academy of Sciences), 2000: From Research to Operations in Weather Satellites and Numerical Weather Prediction: Crossing the Valley of Death. The National Academies Press, 80 pp.
15 NAS (National Academy of Sciences), 2008: Satellite Observations to Benefit Science and Society: Recommended Missions for the Next Decade. The National Academies Press, 40 pp.
16 Schmit, T. J., J. Li, J. J. Gurka, M. D. Goldberg, K. J. Schrab, J. Li, and W. F. Feltz, 2008: The GOES-R Advanced Baseline Imager and the continuation of current sounder products. J. Appl. Meteor. Climatol., 47, 2696-2711.   DOI
17 Schmit, T. J., P. Griffith, M. M. Gunshor, J. M. Daniels, S. J. Goodman, and W. J. Lebair., 2017: A closer look at the ABI on the GOES-R series. Bull. Amer. Meteor. Soc., 98, 681-698, doi:10.1175/BAMS-D-15-00230.1.   DOI