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Microwave Remote Sensing for Oceanographic and Marine Weather-Forecast Models - NATO Science Series C 298 (Hardback)
  • Microwave Remote Sensing for Oceanographic and Marine Weather-Forecast Models - NATO Science Series C 298 (Hardback)

Microwave Remote Sensing for Oceanographic and Marine Weather-Forecast Models - NATO Science Series C 298 (Hardback)

Hardback 406 Pages / Published: 31/12/1989
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The power of microwave remote sensing for studying the oceans of the world was demonstrated conclusively by the SEASAT mission in 1978. Since then, no further satellite-flown instruments have been available to provide further data of this type. However, the proposed launch of ESA's ERS-1 satellite will lead to a new set of active microwave instruments being flown in space in 1990. Even though similar data has been obtained from aircraft-flown instruments SAR, scatterometers, altimeters etc. - a great deal of activity has been taking place to develop the necessary expertise in handling and analysing such data when it comes on-stream from ERS-1 and from subsequent satellites. It was against this background that the scientific Affairs Division of NATO again agreed to sponsor an ASI in Dundee in 1988. Its purpose was to review existing knowledge of the extraction of marine and atmospheric geophysical parameters from satellite-gathered microwave data and to enable scientists to prepare themselves and their computing systems to utilise the new data when it becomes available. The importance of the data is largely as input parameters to assist in the fitting of boundary conditions in large computer models. The course was concerned more with the non-imaging instruments, that is with passive radiometers, altimeters and scatterometers, than with the (imaging) synthetic aperture radar.

Publisher: Springer
ISBN: 9780792305811
Number of pages: 406
Weight: 798 g
Dimensions: 240 x 160 mm
Edition: 1990 ed.

`This is an extremely informative and up-to-date book which should be on the shelf of those who will exploit the new microwave satellite data coming from the sensors during the 1990s.'
World Meteorological Oganization Bulletin, 40:1

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