Computer Science – Performance
Scientific paper
Dec 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agufmos22a0226d&link_type=abstract
American Geophysical Union, Fall Meeting 2002, abstract #OS22A-0226
Computer Science
Performance
4283 Water Masses, 4522 El Niño, 4536 Hydrography
Scientific paper
Sea Surface salinity (SSS) in the tropical Pacific, despite the relative paucity of the observations, has proven to be valuable for describing and understanding climate variability, for assessing numerical model performance, and for improving ENSO prediction lead times in statistical models. The importance of SSS in the climate system has also motivated the development by European and US space agencies of dedicated satellite missions to enhance global SSS observations. Given the future availability of both in situ and remotely-sensed SSS observations and the need for an optimal sampling strategy, the goal of this presentation is to investigate the space and time variability of SSS in the tropics. The SSS measurements used were obtained during the last decade from thermosalinograph instruments installed onboard merchant and research ships in the three tropical oceans, and on the TAO/TRITON and PIRATA mooring arrays in the tropical Pacific and Atlantic oceans. Means, standard deviations, signal to noise ratios and the spatial/temporal decorrelation scales are estimated at every degree latitude (or longitude) within 30N-30S along the shipping tracks and at every mooring location in the equatorial band. Sensitivity studies involving subsampling and spatial/temporal averaging are performed in order to assess how small-scale variability could produce aliasing and/or uncertainty in various sampling regimes. Resultant statistical parameters are discussed regionally as a function of evaporation minus precipitation, oceanic circulation, and El Nino and La Nina conditions.
Delcroix Thierry
Dessier Alain
Gouriou Yves
McPhaden M.
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