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Titel |
Feasibility study for GCOM-C/SGLI: Retrieval algorithms for carbonaceous
aerosols |
VerfasserIn |
Sonoyo Mukai, Itaru Sano, Masayoshi Yasumoto, Toshiyuki Fujito, Makiko Nakata, Alexander Kokhanovsky |
Konferenz |
EGU General Assembly 2016
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Medientyp |
Artikel
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Sprache |
en
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 18 (2016) |
Datensatznummer |
250124104
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Publikation (Nr.) |
EGU/EGU2016-3481.pdf |
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Zusammenfassung |
The Japan Aerospace Exploration Agency (JAXA) has been developing the new Earth
observing system, GCOM (Global Change Observation Mission) project, which consists of
two satellite series of GCOM-W1 and GCOM-C1. The 1st GCOM-C satellite will board the
SGLI (second generation global imager) which also includes polarimetric sensor and be
planed to launch in early of 2017. The SGLI has multi (19)-channels including near UV
channel (380 nm) and two polarization channels at red and near-infrared wavelengths of 670
and 870 nm. EUMETSAT plans to collect polarization measurements with a POLDER
follow on 3MI / EPS-SG in 2021. Then the efficient retrieval algorithms for aerosol
and/or cloud based on the combination use of radiance and polarization are strongly
expected.
This work focuses on serious biomass burning episodes in East Asia. It is noted that the
near UV measurements are available for detection of the carbonaceous aerosols. The biomass
burning aerosols (BBA) generated by forest fire and/or agriculture biomass burning have
influenced on the severe air pollutions. It is known that the forest fire increases due to global
warming and a climate change, and has influences on them vice versa. It is well known
that this negative cycle decreases the quality of global environment and human
health.
We intend to consider not only retrieval algorithms of remote sensing for severe air
pollutions but also detection and/or distinction of aerosols and clouds, because mixture of
aerosols and clouds are often occurred in the severe air pollutions. Then precise
distinction of aerosols and clouds, namely aerosols in cloudy scenes and/or clouds in
heavy aerosol episode, is desired. Aerosol retrieval in the hazy atmosphere has been
achieved based on radiation simulation method of successive order of scattering
1,2.
In this work, we use both radiance and polarization measurements observed by GLI and
POLDER-2 on Japanese ADEOS-2 satellite in 2003 as a simulated data. As a result the
possibility of GCOM-C1 / SGLI related to remote sensing for aerosols and/or clouds can be
examined.
[1] Mukai, S., M. Yasumoto and M. Nakata, 2014: Estimation of biomass burning
influence on air pollution around Beijing from an aerosol retrieval model. The Scientific
World Journal, Article ID 649648.
[2] Mukai, S., M. Nakata, M. Yasumoto, I. Sano and A. Kokhanovsky, 2015:A study of
aerosol pollution episode due to agriculture biomass burning in the east-central
China using satellite data, Front. Environ. Sci., 3:57, doi: 10.3389/fenvs.2015.00057. |
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