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Introduction of New Satellite Observation Techniques for Sea Ice Growth and Transport in the Arctic (Extended Abstract)

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Introduction of New Satellite Observation

Techniques for Sea Ice Growth and Transport in

the Arctic (Extended Abstract)

著者

Enomoto Hiroyuki, Tateyama Kazutaka, Nakayama

Masashige, Kimura Noriaki

journal or

publication title

The science reports of the Tohoku University.

Fifth series, Tohoku geophysical journal

volume

36

number

4

page range

443-447

year

2003-05

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Introductions

Sea Ice

of New Satellite Observation

Techniques

Growth and Transport

in the Arctic

(Extended A bstract)

for

HIROYUKI ENOMOTO1'2, KAZUTAKA TATEYAMA3,

MASASHIGE NAKAYAMA4 and NORIAKI KIMURA4 'Frontier Observational Research System for Global Change

, 3173-25,

Showa-machi, Kanazawa-ku, Yokohama 236-0001

'Department of Civil Engineering

, Kitami Institute of Technology, 165, Koen-cho, Kitami 090-8507

'Sea Ice Research Laboratory

, Institute of Low Temperature Science,

Hokkaido University, 6-4-10, Minamigaoka, Mombetsu 094-0013 'Earth Observation Research Center

, National Space Development Agency of Japan, Triton Square X23, 1-8-10, Harumi, Minatoku, Tokyo 104-6023

(Received December 22, 2002)

Abstract : This study presents some results on sea ice changes in the Arctic and surrounding seas by archiving new data set and applying new approach of analyses. Sea ice motion, sea ice type or ice thickness data were obtained by the satellite remote sensing. Combinations of satellite observations of ice thickness and ice motion enable estimation of ice volume transport, which is important for investigating energy transport , salinity anomaly due to ice formation and melting.

1. Introduction

Recently, thinning of sea ice in the Arctic became great concern and many attempts

have been done to investigate it. Although cryosphere can indicate significantly the

environmental changes, observations in the remote and cold area are difficult. Sea ice

has important roles for atmosphere-ocean interaction as sea ice controls heat and

material exchanges.

There are still lack of data and observation systems in the higher latitudes. One of

the useful techniques is the satellite remote sensing.

Approach of sea ice research

This report introduces combined analysis of new algorithms for sea ice

investiga-tion.

Available algorithms are observing ice thickness, ice motion and under-ice oceanic

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444 AM?, AVILRI4 &aril UMW), SAR Arctic Ocean Procedure - Objective and automatic detection of thin - Freezing detection Development of technique 3 for ice thickness estimation

AVIVIR, AM!?, SSMT (ABI.616 Data product - Okhotsk - Bering - Arctic Ocean

ice motion analysis • Relevant scale

improving techniques

Ice transport Ice mass transport

Heat advection by sea ice

Approach of climatic research using satellite data

Data arrangement (analyths and model validation)

Data fusion and cooperative study with modeling

Fig. 1. Flow of possible thickness data. analysis combining gRafil gigs' AMU' SAE RADAR

- Cryos pheric research from energy and mass evaluation - Detection of ch ange - Interaction study - Forecasting possible changes

sea ice motion, sea ice type or ice

ti

Fig. 2.

.71

Thick (red) and thin (blue) ice distributions (Nakayama et al., 2002)

Examples of ice thickness estimation

For the studying ice growth and decay, ice thickness change is important

informa-tion (Enomoto, 1996). Time series of large scale data is useful for analysis.

New satellite observation techniques for estimating sea ice growth in the seasonal

sea ice area have been developed. Figure 2 shows an example of ice thickness variation

in the Northern Hemisphere (Nakayama et al., 2002).

Figure 3 shows an example of ice thickness indication in the Sea of Okhotsk

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Fig. 3. Sea ice thickness variations in Mar . 2001 (right) and mean ice flow pattern (left) in the Sea of Okhotsk.

Fig. 4.

cm 90

50

10

Ice thickness distribution in the seasonal sea ice area .

Tateyama et al. (2002). Mean ice flow was also indicated in Figure 3. Sea of Okhotsk

is covered by thin ice and sensitive for climatic conditions . Seasonal sea ice area in the

Arctic can be investigated from a point of ice growth characteristics , by using these

techniques.

Figure 4 shows an example of distinguishment of thin ice region and then ices

thickness estimation to focus detail of regional ice thickness distribution .

Ice motion and Oceanic Current

One of the characteristics of sea ice compared to the other cryospheric components

is its movement. Ice replacement is important information to study sea ice fluctuations .

Interactions among the ice motion-wind-oceanic current will be investigated by new

approaches of ice motion analysis (Kimura and Wakatsuchi , 2000).

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446 _law. 01 2

rZ.-...

_ ...

....NV irr:

.

4:K.. I. .... I

L.11,4

fi

Fig. 5. Ice drift, wind component and Oceanic current based on the algorithm of Kimura and Wakatsuchi (2000).

from the ice drift were introduced in Figure 5. This shows the mean pattern of winter

circulation. A clockwise circulation off Canada can be observed (Beaufort Gyre) .

Transpolar drift stream is visible as a stream to Atlantic Ocean through the North Polar

region.

Ice motion analysis and ice thickness estimation provides ice advection data , thus

the cause of ice condition changes will be analyzed from the thermal condition and

dynamics of sea ice.

Summary

Newly developed sea ice observation techniques by satellite were introduced:

—Sea ice motion , sea ice type or ice thickness data can be obtained by the satellite remote sensing.

--Combinations of satellite observations of ice thickness and ice motion en

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estimation of port, salinity

—These analysis.

ice volume transport, which

anomaly due to ice formation

analyses enable monitoring of

is important for investigating energy

and melting.

sea ice from the point of energy and

trans-mass

References

Enomoto, H., 1996 : Observation of thin ice area in the Okhotsk Sea and impacts for climatological

study, Jour. Remote Sensing Society of Japan, 16(2), 14-25.

Kimura, N. and M, Wakatsuchi, 2000 : Relationship between sea-ice motion and geostrophic wind in the Northern Hemisphere, Geophy. Res. Lett., 27, 3735-3738.

Nakayama, M., K. Cho, II. Shimoda, T. Sakata, T. Tanikawa and F. Nishio, 2002 : A technique for

mapping of thin sea ice areas in freezing season with satellite passive microwave, Jour.

Remote Sensing Soc. of Japan, 22, No. 2,175-188.

Tateyama K. and H. Enomoto, 2001 : Observation of sea ice thickness fluctuation in the seasonal ice covered area during 1992-1999 winters, Annals of Glaciology, 33, 449-456.

Tateyama K. and H. Enomoto,Y. Toyota, S. Uto, 2002 : Sea ice thickness estimated from passive

microwave radiometers, Polar meteorology and Glaciology, 16, 15-31.

Figure  3  shows  an  example  of  ice  thickness  indication  in  the  Sea  of  Okhotsk  estimated  from  passive  micro  wave  data,  based  on  Tateyama  and  Enomoto  (2001) and
Fig.  3.  Sea  ice  thickness  variations  in  Mar .  2001 (right)  and  mean  ice  flow  pattern     (left)  in  the  Sea  of  Okhotsk.

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