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Chapter 28
atmospheric ozone content, and so on. In these data, some new scientific
data were obtained such as the ozone depletion over the Arctic region. On
the other hand, the validity of some applications using AVNIR and OCTS
were verified. Some examples are introduced below.
1.
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6.
7.
8.
Ozone depletion over the Arctic region (TOMS)
In the Arctic region, the ozone depletion was found in the springtime like
the Antarctic ozone hole, in small scale. However, in the Northern
Hemisphere, the stable circumpolar vortex is really generated, in this year
it is stable and the ozone depletion had happened. On 25 March 1997, the
total ozone content decreased to less than 225 Dobson units.
Monitoring of ozone hole over the Antarctic region (TOMS, ILAS)
ADEOS has continuously monitored of the ozone hole in the Antarctic
region, of which the largest scale was observed in September 1996 and it
has disappeared in December 1997.
Vertical temperature profile observation (IMG)
Using IMG the first space-borne Michelson interferometer observing in
the infrared band with very high spectral resolution, the atmospheric
temperature was retrieved from the observed atmospheric radiance
spectral. The variations in content of greenhouse gas such as
were also observed by IMG.
Detection of abnormal flow of the Kuroshio Current (OCTS)
An abnormal flow of the Kuroshio Current was detected using OCTS the
SST and the chlorophyll-a simultaneous mapped data. In the SST,
information of the thin skin surface of the sea is reflected and in the
chlorophyll-a, information of water color down to the depth of 30m
below sea surface is reflected, therefore the ocean current or the water
mass were detected correctly using these simultaneous information.
Global map of chlorophyll-a and SST (OCTS)
These data has been processed and distributed as the standard products.
Global aerosol map (OCTS)
A global map of atmospheric aerosol distribution over the ocean was
made using OCTS.
Global chlorophyll, aerosol and cloud mapping (POLDER)
The optical thickness, the reflectance of land surface, the atmospheric
radiance and the cloud classification was made by CNES.
Sea surface wind data improving weather forecast (NSCAT)
In April 1997, JMA initiated the research use of NSCAT data for the
improvement of weather forecast. NASDA also analyzed the relationship
between convergence and geographical features on the winter seasonal wind.
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