Physical oceanography
Identifieur interne : 001138 ( Istex/Corpus ); précédent : 001137; suivant : 001139Physical oceanography
Auteurs :Source :
- Deep-Sea Research Part B, Oceanographic Literature Review [ 0198-0254 ] ; 1992.
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DOI: 10.1016/S0198-0254(06)80632-1
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Books, collections (general)</title><imprint><biblScope unit="volume">9620420</biblScope><biblScope unit="issue">92</biblScope><biblScope unit="page" from="403" to="202489"></biblScope><date type="published" when="1991"></date></imprint></monogr></biblStruct><biblStruct><analytic><title level="a" type="main">Special section Laboratory experiments in physical oceanography These papers cover experiments on the formation of salt fingers after turbulence decay; baroclinie vortex shedding from hydrothermal plumes; response of baroclinic waves to nonuniform thermal forcing at the lower boundary; and studies of radar sea spikes at low grazing angles. Also included are studies of surface boundary currents applied to the Algerian Current; numerical and oceanic fossil turbulence in rotating and stratified flows; generation and spread-ing of a turbulent mixed layer in a rotating, stratified fluid; and gravity current propagation along an incline in the presence of boundary mixing</title><author><persName><surname>Taylor</surname></persName></author><author><persName><surname>John</surname></persName></author></analytic><monogr><title level="j">J. geophys. Res</title><imprint><biblScope unit="volume">9612592</biblScope><biblScope unit="issue">8</biblScope><biblScope unit="page" from="497" to="12"></biblScope><date type="published" when="1991"></date></imprint></monogr><note>lit</note></biblStruct><biblStruct><analytic><title level="a" type="main">Wind ambiguity removal by the use of neural network techniques Neural networks are well adapted to the removal of ambiguities existing on the direction of the wind measured by satellite seatterometers. Results using ERS.I simulated scatterometric wind fields are presented. It is found that 99% of the ambiguities can be removed by imposing a rate of 25% ambiguity at 180 ~ and 90 ~ Lab. de Rech. en Inform Evaluation of multichannel sea surface temperature [MCSST] product quality for climate monitoring: 1982-1988 Temporal anomaly cross correlations are significant at the 95% confidence level for all basins and subregions examined, except for the North Atlantic. Biases in the MCSST product, caused by volcanic aerosols and by use of the wrong satellite calibration tables, cause problems in the utility of the MCSST data for climate monitoring. Signal-to-noise variance ratios range from 0.49 in the North Atlantic Ocean to above 4 in the equatorial Pacific</title><author><persName><forename type="first">B</forename><surname>Marine Meteorology B10 Badran</surname></persName></author><author><persName><forename type="first">F</forename></persName></author><author><persName><forename type="first">S</forename><surname>Thiria</surname></persName></author><author><persName><forename type="first">M</forename><surname>Crepon</surname></persName></author></analytic><monogr><title level="j">J. geophys. Res. J. geophys. Rest</title><editor>Bates, J.J. and H.F. Diaz</editor><imprint><biblScope unit="volume">922052920622</biblScope><biblScope unit="issue">92</biblScope><biblScope unit="page" from="521" to="202491613"></biblScope><date type="published" when="1991"></date></imprint></monogr><note>MCSST. values are lower than COADS by 0.19 ~ to 0.64~ Accurate monitoring of SST variability in the southern oceans is not possible without the use of satellite data. Because of the stringent accuracy requirements of SST data for climate monitoring, however, the utility of MCSST data alone for this purpose is only marginal</note></biblStruct><biblStruct><analytic><title level="a" type="main">Comparison of microwave temperature sounders for atmos-pheric monitoring</title><author><persName><forename type="first">D</forename><forename type="middle">A</forename><surname>Moore</surname></persName></author><author><persName><forename type="first">H</forename><forename type="middle">F</forename><surname>Jr</surname></persName></author></analytic><monogr><title level="j">Palaeogeogr. Palaeoclimatol. Palaeoecol. (Global planet. Change Sect</title><imprint><biblScope unit="page">90</biblScope><date type="published" when="1991"></date></imprint></monogr></biblStruct><biblStruct><analytic><author><persName><forename type="first">S</forename><surname>Systems</surname></persName></author></analytic><monogr><title level="j">Corp</title><imprint><biblScope unit="volume">92</biblScope><biblScope unit="page">2493</biblScope></imprint></monogr></biblStruct><biblStruct><analytic><title level="a" type="main">European systems of operational meteorological satellites. Palaeogeogr. Palaeo-climatoL PalaeoecoL (Global planet</title><author><persName><surname>Morgan</surname></persName></author><author><persName><surname>John</surname></persName></author></analytic><monogr><title level="j">Change Sect.)</title><imprint><biblScope unit="volume">90</biblScope><biblScope unit="page" from="1" to="3297"></biblScope><date type="published" when="1991"></date></imprint></monogr></biblStruct><biblStruct><analytic><title level="a" type="main">Since then EUMETSAT has been established as an independent organisation to ensure the continuity of European operational meteorological satellites. Meteosat-4 now provides the operational service. Meteosat-5 and -6 are being made ready for launch EUMETSAT is presently</title></analytic><monogr><title level="m">Meteosat-I was launched in 1977 by the European Space Agency (ESA)</title></monogr></biblStruct></listBibl></back></text></istex:refBibTEI><json:item><type>refBibs</type><uri>https://api.istex.fr/document/54984EFEB54D293DE59260B3D118E00F8F26CB6C/enrichments/refBibs</uri></json:item></enrichments><author></author><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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