| Project/Area Number |
05455002
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| Research Category |
Grant-in-Aid for General Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
広領域
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| Research Institution | IWATE UNIVERSITY |
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Principal Investigator |
YOKOYAMA Ryuzo IWATE UNIVERSITY,DEPARTMENT OF COMPUTER SCIENCE,PROFESSOR., 工学部, 教授 (60005395)
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| Co-Investigator(Kenkyū-buntansha) |
IIKURA Yoshikazu IWATE UNIVERSITY DEPARTMENT OF COMPUTER SCIENCE,ASSOCIATE PROFESSOR., 工学部, 助教授 (30109897)
TANBA Sumio IWATE UNIVERSITY DEPARTMENT OF COMPUTER SCIENCE,RESEARCH ASSOCIATE, 工学部, 助手 (70179927)
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| Project Period (FY) |
1993 – 1994
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| Project Status |
Completed (Fiscal Year 1994)
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| Budget Amount *help |
¥7,200,000 (Direct Cost: ¥7,200,000)
Fiscal Year 1994: ¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 1993: ¥5,500,000 (Direct Cost: ¥5,500,000)
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| Keywords | REMOTE SENSING, / SEA SURFACE TEMPERATURE, / ATMOSPHERIC EFFECTS, / CLEAR SKY ATMOSPHERE MODEL, / OBSERVABILITY CONDITION, |
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| Research Abstract |
As a background of this research, we had already had an excellent match-up set of the brightness temperatures by AVHRR and the sea surface temperature (SST) by Mutsu Bay Automatic Marine Monitoring Buoy System (MBAMMBS). The SST estimation functions calculated by the regression analysis provided the standard error as 0.6ﾟC.The coefficients were, however, showed smaller values than those calculated by simulation by using the standard atmospheric model. The point of the research were directed investigate the difference.
From the the Misawa radio sonde data collected from 1995 to 1992, we set up three kinds of the atmospheric models as follows. Misawa is located 20 km from Mutsu Bay.
1.Misawa Monthly Average Atmospheric Model (MMAAM) : monthly average of the vertical distributions of air temperature and water vapor content for the total number of 5,600 sonde data.
2.Misawa Clear Sky Monthly Average Atmospheric Model (MCSMAAM) : same to the above but the sonde data were restricted to be under clear sky, of which total number is 1,200. Mutsu
3.Bay Clear Sky Atmospheric Model (MBCSAM) : same to the above but the sonde data were were restricted to be under clear sky in both Misawa and Aomori, of which total number is 182.
By using the radiative transfer function model of LOWTRAN-7 & FASCODE,the SST estimation functions were calculated. Then the coeffficients by MBCSAM almost agreed with those of the regression functions, but the coefficients provided by the other atmospheric models were. The sea surface is observable from the space under clear sky. From the point, MBCSAM is reasonable to provide better results. The error analysis in the SST estimation functions by by referring to the meteorological records relevantly disclosed that under calm and strong sunshine conditions, the error increased because of the diurnal changes. By extracting those singular match-ups, the standard error was reduced to be 0.3ﾟC.
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