The book shows how the new observations from satellites required advances in theory and influenced societal decision-making. Chapters have a review with an extensive reference list, making the book an excellent source of information for biological and physical oceanographers and atmospheric scientists.
A large range of state-of-the art applications of satellite data (altimeter, color, infrared radiometer, scatterometer, synthetic aperture radar) visible in regional-to-global scale ocean studies integrating satellite and in-situ measurements with circulation models are covered in the book. Subjects include forecasting of surface waves, both swell and windsea, and surface wind; El Niño/La Niña; exchange of water masses between ocean basins, Rossby waves; eddies and filaments; fisheries; coastal ocean dynamics; phytoplankton dynamics; and ideas to measure sea surface salinity.
For biological and physical oceanographers and atmospheric scientists, researchers, graduate students, space agencies and those interested in oceanographic research.
Chapter headings and abstracts:
Oceanography before, and after, the advent of satellites (W. Munk).
Development and application of satellite retrievals of ocean wave spectra (P. Heimbach, K. Hasselmann). Abstract. The launch of SeaSat in 1978 demonstrated the feasibility of measuring ocean wave heights and imaging the corresponding two-dimensional wave field from space. With the launch of the first European Remote-sensing Satellite (ERS-1) in 1991, wave researchers and operational forecasters obtained global, continuous, quasi-real-time wave data for the first time. This led to the developments of sophisticated, so-called "third-generation" wave models, such as the Wave Model (WAM), and spectral retrieval algorithms for synthetic aperture radar (SAR) data. To achieve these goals, however, significant hurdles had to be overcome. Wave modelers had to develop numerically viable parameterizations of the nonlinear wave-wave interactions. The remote-sensing challenge was to understand and resolve the strong nonlinearities besetting SAR imaging of the moving ocean wave surface. This paper reviews the progress achieved over the last twenty years and summarizes wave data assimilation methods and other current applications of ERS quasi-real-time global SAR wave spectral data or SAR wave-mode product.
Two applications are presented. A comparison of wave spectra predicted by WAM with spectra retrieved from ERS-1 on a global scale revealed that WAM overpredicted local wind-generated sea surface heights and underpredicted swell. The former can be largely attributed to wind-forcing errors, while the latter is most likely due to an overly strong swell dissipation in WAM. Assimilation of ERS-1 altimeter sea surface height data into the WAM spectra was found to not alter the qualitative conclusions of the comparison. A second appl
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- © Elsevier Science 2000
- 6th June 2000
- Elsevier Science
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@from:M.C. Colton, Camp Springs, Maryland @qu:...a good read, and leaves the satellite and user communities with a few goals to work towards. @source:Bulletin of the American Meteorological Society @qu:...an excellent source of information for biological and physical oceanographers and atmospheric scientists. @source:Sea Technology @from:J.L. Fellous, Issy-les-Moulineaux, France @qu:...this volume is actually a reference book that should be in the library of every institution concerned with Earth system science. Its relevance for connecting natural and social sciences makes it an outstanding publication, useful to both researchers and graduate students. @source:Advances in Space Research