• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Probability distribution of surface wave slope derived from spaceborne remote sensing data

Research Project

Project/Area Number 11640424
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Meteorology/Physical oceanography/Hydrology
Research InstitutionTohoku University

Principal Investigator

EBUCHI Naoto  Tohoku University, Graduate School of Science, Associate Prof., 大学院・理学研究科, 助教授 (10203655)

Co-Investigator(Kenkyū-buntansha) KIZU Shoichi  Tohoku University, Graduate School of Science, Research Associate, 大学院・理学研究科, 助手 (40241517)
Project Period (FY) 1999 – 2001
Project Status Completed (Fiscal Year 2001)
Budget Amount *help
¥3,400,000 (Direct Cost: ¥3,400,000)
Fiscal Year 2001: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2000: ¥1,300,000 (Direct Cost: ¥1,300,000)
Fiscal Year 1999: ¥1,000,000 (Direct Cost: ¥1,000,000)
Keywordsremote sensing / surface wave / wind wave / wave slope / microwave scatterometer / visible radiometer / GMS / 可視赤外放射計 / リモート・センシング / 可視・赤外放射計
Research Abstract

The probability distribution of the sea surface slope has been estimated using sun glitter images derived from the visible wavelength radiometer on the Geostationary Meteorological Satellite (GMS) and surface vector winds observed by spaceborne scatterometers. The brightness of the visible images is converted to the probability of wave surfaces which reflect the sunlight toward GMS in grids of 0.25° x 0.25° (latitude x longitude). The slope and azimuth angle required for the reflection of the sun's rays toward GMS are calculated for each grid from the geometry of GMS observation and location of the sun. The GMS images are then collocated with surface wind data observed by three scatterometers. Using the collocated data set of about 30 million points obtained in a period of 4 years from 1995 to 1999, the probability distribution function of the surface slope is estimated as a function of wind speed and azimuth angle relative to the wind direction. The results are compared with those of Cox and Munk (1954). The surface slope estimated by the present method shows a narrower distribution and much less directivity relative to the wind direction than that reported by Cox and Munk. It is expected that their data were obtained under conditions of growing wind waves. In general, wind waves are not always developing, and the slope distribution might differ from the results of Cox and Munk. Most of our data are obtained in the subtropical seas under clear-sky conditions. This difference in the conditions may be the reason for the difference of slope distribution.

Report

(4 results)
  • 2001 Annual Research Report   Final Research Report Summary
  • 2000 Annual Research Report
  • 1999 Annual Research Report
  • Research Products

    (3 results)

All Other

All Publications (3 results)

  • [Publications] N.Ebuchi, S.Kizu: "Probability distribution of surface wave slope desired using suralitter images from Geostationary Heterralogical Satellite and surface winds from scatteroruotrs"Journal of Oceanography. 58(印刷中). (2002)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] N. Ebuchi and S. Kizu: "Probability distribution of surface wave slope derived using sunglitter images from Geostationary Satellite and surface vector winds from scatterometers"Journal of Oceanography. Vol. 58 (in press). (2002)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2001 Final Research Report Summary
  • [Publications] N.Ebuchi, S.Kizu: "Probability distribution of surface wave slope drived using sun glitter images from Geostationary Meteorological Satellite and surface vector winds from scatterometer"Journal of Oceanography. (印刷中)58. (2002)

    • Related Report
      2001 Annual Research Report

URL: 

Published: 1999-04-01   Modified: 2016-04-21  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi