Cited by 1,512Calibration and Measurement TechniquesAtmospheric aerosols and cloudsMeteorological Phenomena and Simulations

An Introduction to Himawari-8/9— Japan’s New-Generation Geostationary Meteorological Satellites

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BESSHO, Kotaro, DATE, Kenji, HAYASHI, Masahiro, IKEDA, Akio, IMAI, Takahito, INOUE, Hidekazu, KUMAGAI, Yukihiro, MIYAKAWA, Takuya +14 more·2016·Journal of the Meteorological Society of Japan. Ser. II

Abstract

Himawari-8/9—a new generation of Japanese geostationary meteorological satellites-carry state-of-the-art optical sensors with significantly higher radiometric, spectral, and spatial resolution than those previously available in the geostationary orbit. They have 16 observation bands, and their spatial resolution is 0.5 or 1 km for visible and near-infrared bands and 2 km for infrared bands. These advantages, when combined with shortened revisit times (around 10 min for Full Disk and 2.5 min for sectored regions), provide new levels of capacity for the identification and tracking of rapidly changing weather phenomena and for the derivation of quantitative products. For example, fundamental cloud product is retrieved from observation data of Himawari-8 operationally. Based on the fundamental cloud product, Clear Sky Radiance and Atmospheric Motion Vector are processed for numerical weather prediction, and volcanic ash product and Aeolian dust product are created for disaster watching and environmental monitoring. Imageries from the satellites are distributed and disseminated to users via multiple paths, including Internet cloud services and communication satellite services.

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Crossref · 10.2151/jmsj.2016-009

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  • The post-processing for lightbox images masks out backgrounds using binary masks rendered from pose labels, then substitutes random starfields or Earth patches.

    “First, the image backgrounds are simply masked out using the binary masks rendered based on the pose labels. Then, either random starfields rendered with the OS software or random patches of the Earth images captured from the Himawari-8 geostationary meteorological satellite [40] are substitued to the backgrounds, as shown in Figure 5.”

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Authors
BESSHO, K., DATE, K., HAYASHI, M., IKEDA, A., IMAI, T., INOUE, H., KUMAGAI, Y., MIYAKAWA, T., MURATA, H., OHNO, T., OKUYAMA, A., OYAMA, R., SASAKI, Y., SHIMAZU, Y., SHIMOJI, K., SUMIDA, Y., SUZUKI, M., TANIGUCHI, H., TSUCHIYAMA, H., UESAWA, D., YOKOTA, H., & YOSHIDA, R.
Affiliations
  • Japan Meteorological Agency (JP)
  • Meteorological Research Institute (JP)
Venue
Journal of the Meteorological Society of Japan. Ser. II
Published
2016
Volume
94
Issue
2
Pages
151-183
ISSN
  • 0026-1165 (ISSN-L)
  • 2186-9057
OpenAlex
W2345254164
Cited by
1,512
References
0
Citations by year
2026: 139 · 2025: 160 · 2024: 221 · 2023: 177 · 2022: 202 · 2021: 175 · 2020: 133 · 2019: 116 · 2018: 112 · 2017: 53 · 2016: 24
FWCI
124.23
Type
journal article
Language
en
Open access
Locations
Journal of the Meteorological Society of Japan Ser II (publishedVersion)
Topics
  • Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
Keywords
Himawari-8, Himawari-9, geostationary meteorological satellite, optical sensors, radiometric resolution, spectral resolution, revisit time, clear-sky radiances, atmospheric motion vectors, volcanic ash detection, aeolian dust, numerical weather prediction, disaster monitoring, environmental monitoring

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