Дисертації з теми "Ocean data"
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Woodgate, Rebecca A. "Data assimilation in ocean models." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359566.
Повний текст джерелаMoore, A. M. "Data assimilation in ocean models." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375276.
Повний текст джерелаAnderson, Timothy A. "Visualization and assessment of Global Ocean Data assimulation experiment profile data for the Pacific Ocean." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA395809.
Повний текст джерелаLguensat, Redouane. "Learning from ocean remote sensing data." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0050/document.
Повний текст джерелаReconstructing geophysical fields from noisy and partial remote sensing observations is a classical problem well studied in the literature. Data assimilation is one class of popular methods to address this issue, and is done through the use of classical stochastic filtering techniques, such as ensemble Kalman or particle filters and smoothers. They proceed by an online evaluation of the physical modelin order to provide a forecast for the state. Therefore, the performanceof data assimilation heavily relies on the definition of the physical model. In contrast, the amount of observation and simulation data has grown very quickly in the last decades. This thesis focuses on performing data assimilation in a data-driven way and this without having access to explicit model equations. The main contribution of this thesis lies in developing and evaluating the Analog Data Assimilation(AnDA), which combines analog methods (nearest neighbors search) and stochastic filtering methods (Kalman filters, particle filters, Hidden Markov Models). Through applications to both simplified chaotic models and real ocean remote sensing case-studies (sea surface temperature, along-track sea level anomalies), we demonstrate the relevance of AnDA for missing data interpolation of nonlinear and high dimensional dynamical systems from irregularly-sampled and noisy observations. Driven by the rise of machine learning in the recent years, the last part of this thesis is dedicated to the development of deep learning models for the detection and tracking of ocean eddies from multi-source and/or multi-temporal data (e.g., SST-SSH), the general objective being to outperform expert-based approaches
Zika, Jan David Climate & Environmental Dynamics Laboratory Faculty of Science UNSW. "Quantifying ocean mixing from hydrographic data." Awarded by:University of New South Wales. Climate & Environmental Dynamics Laboratory, 2010. http://handle.unsw.edu.au/1959.4/44872.
Повний текст джерелаLawrence, David Hawkesford. "Ocean colour analysis using CZCS data." Thesis, University of Plymouth, 1987. http://hdl.handle.net/10026.1/1731.
Повний текст джерелаMelo, Jose Luis Branco Seabra de. "Nonlinear parametric wave model compared with field data." Monterey, Calif. : Naval Postgraduate School, 1985. http://catalog.hathitrust.org/api/volumes/oclc/57738811.html.
Повний текст джерелаLiu, Liyan Jones C. K. R. T. "Lagrangian data assimilation into layered ocean model." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2007. http://dc.lib.unc.edu/u?/etd,786.
Повний текст джерелаTitle from electronic title page (viewed Dec. 18, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Mathematics." Discipline: Mathematics; Department/School: Mathematics.
Phillipson, Luke. "Ocean data assimilation in the Angola Basin." Thesis, Imperial College London, 2018. http://hdl.handle.net/10044/1/62645.
Повний текст джерелаNavarro, Moisés M. "Ocean wave data analysis using Hilbert transform techniques." Thesis, Monterey, California. Naval Postgraduate School, 1996. http://hdl.handle.net/10945/32022.
Повний текст джерелаOnabid, Mathias Akong. "Improved ocean chlorophyll estimates from remote sensed data." Thesis, University of Glasgow, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438091.
Повний текст джерелаReiter, Edmund. "Imaging of large offset ocean bottom seismic data." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/54967.
Повний текст джерелаIncludes bibliographical references (leaves 139-146).
by Edmund C. Reiter.
Ph.D.
Mirhi, Mohamad H. (Mohamad Hussein). "Design of interactive maps for ocean dynamics data." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121860.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references.
Comprehensive spatiotemporal modeling and forecasting systems for ocean dynamics necessitate robust and efficient data delivery and visualization techniques. The multi-disciplinary simulation, estimation, and assimilation systems group at MIT (MSEAS) focuses on capturing and predicting diverse ocean dynamics, including physics, acoustics, and biology on varied scales, thereby developing new methods for multi-resolution ocean prediction and analysis, including data generation and assimilation. The group has primarily used non-interactive ocean plots to visualize its simulated and measured data. Although these maps and sections allow for analysis of ocean physics and the underlying numerical schemes, more interactive maps provide more user control over depicted data, allowing easier study and pattern identification on multiple scales. Integrating static and geospatial data in dynamic visualization creates a heightened viewpoint for analysis, enhances ocean monitoring and prediction, and contributes to building scientific knowledge. This thesis focuses on explaining the motivation behind and the methodologies applied in designing these interactive maps.
by Mohamad Mirhi.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Mechanical Engineering
Augusto, Fabio Lekecinskas. "An improvement on the gas transfer velocity model with application to scatterometer data." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/21/21135/tde-07102015-143819/.
Повний текст джерелаO aumento da concentração de dióxido de carbono na atmosfera observado nas últimas décadas é responsável por alterações climáticas e ambientais em escala global. Uma das consequências desse aumento da concentração de gás carbônico é o aquecimento global. Outra consequência é a acidificação dos oceanos. Isto ocorre devido ao dióxido de carbono atravessar a interface ar-mar e se dissolver no oceano. A quantidade de dióxido de carbono que atravessa a interface ar-mar é um dado não conhecido com precisão devido a esta quantidade depender de uma constante conhecida por velocidade de transferência do gás carbônico. Esta velocidade de transferência é normalmente uma parametrização do transporte turbulento do gás na interface oceano-atmosfera. Como o dado mais comum para essa parametrização é o vento à altura de 10 metros, muitos estudos foram desenvolvidos utilizando esta variável. No entanto, os resultados destas parametrizações possuem erros da ordem de 100%. Este estudo desenvolveu uma metodologia para obter uma melhor estimativa da velocidade de transferência. Para isto, optou-se por relacionar esta variável à inclinação quadrática média (MSS) das ondas. Segundo a literatura científica recente, o MSS é uma variável mais relacionada à transferência gasosa do que o vento a 10 metros de altura. Os resultados mostram que a inclinação quadrática média calculado com números de onda entre 40 e 50 radianos por metro possuem o menor erro no ajuste linear com os dados de velocidade de transferência. Este resultado indica uma mudança da dinâmica da interface nesse intervalo de número de onda. Com isso, um novo ajuste linear entre o MSS e a velocidade de transferência é sugerido como parametrização. A aplicação desta nova parametrização a dados de satélite do tipo escaterômetro mostrou-se consistente quando comparado a um estudo recente relacionando a velocidade de transferência do gás carbônico diretamente a dados do satélite oceanográfico QuikSCAT.
Rana, Haris Sarwar. "Indian Ocean surface circulations and their connection to Indian Ocean dipole, identified from Ocean Surface Currents Analysis Real Time (OSCAR) data." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://handle.dtic.mil/100.2/ADA483452.
Повний текст джерелаThesis Advisor(s): Chu, Peter C. "June 2008." Description based on title screen as viewed on August 26, 2008. Includes bibliographical references (p. 67-71). Also available in print.
Weaver, Anthony T. "Variational data assimilation in numerical models of the ocean." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240442.
Повний текст джерелаMartin, Matthew J. "Data assimilation in ocean circulation models with systematic errors." Thesis, University of Reading, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365425.
Повний текст джерелаHilton, Richard Daniel. "Non-ocean applications of multi-mission satellite altimeter data." Thesis, De Montfort University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422592.
Повний текст джерелаKehoe, Kenneth. "Ocean sun glint albedo estimation from geostationary satellite data." Thesis, The University of Arizona, 2002. http://hdl.handle.net/10150/278794.
Повний текст джерелаHerman, James Stackpole. "A sail force dynamometer : design, implementation and data handling." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14491.
Повний текст джерелаWist, Hanne Therese. "Statistical properties of successive ocean wave parameters." Doctoral thesis, Norwegian University of Science and Technology, Norwegian University of Science and Technology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-16.
Повний текст джерелаFor random waves the free surface elevation can be described by a number of individual wave parameters. The main objective of this work has been to study the statistical properties of individual parameters in successive waves; the wave crest height, the wave height and the wave period.
In severe sea states the wave crest heights exhibit a nonlinear behavior, which must be reflected in the models. An existing marginal distribution that uses second order Stokes-type nonlinearity is transformed to a two-dimensional distribution by use of the two–dimensional Rayleigh distribution. This model only includes sum frequency effects. A two-dimensional distribution is also established by transforming a second order model including both sum and different frequency effects. Both models are based on the narrow-band assumption, and the effect of finite water depth is included. A parametric wave crest height distribution proposed by Forristall (2000) has been extended to two dimensions by transformation of the two-dimensional Weibull distribution.
Two successive wave heights are modeled by a Gaussian copula, which is referred to as the Nataf model. Results with two initial distributions for the transformation are presented, the Næss (1985) model and a two-parameter Weibull distribution, where the latter is in best agreement with data. The results are compared with existing models. The Nataf model has also been used for modeling three successive wave heights. Results show that the Nataf transformation of three successive wave heights can be approximated by a first order autoregression model. This means that the distribution of the wave height given the previous wave height is independent of the wave heights prior to the previous wave height. The simulation of successive wave heights can be done directly without simulating the time series of the complete surface elevation.
Successive wave periods are modeled with the Nataf transformation by using a two-parameter Weibull distribution and a generalized Gamma distribution as the initial distribution, where the latter is in best agreement with data. Results for the marginal and two-dimensional distributions are compared with existing models. In practical applications, it is often of interest to consider successive wave periods with corresponding wave heights exceeding a certain threshold. Results show that the distribution for successive wave periods when the corresponding wave heights exceed the root-mean-square value of the wave heights can be approximated by a multivariate Gaussian distribution. When comparing the results with data, a long time series is needed in order to obtain enough data cases. Results for three successive wave periods are also presented.
The models are compared with field data from the Draupner field and the Japan Sea, and with laboratory data from experiments at HR Wallingford. In addition, data from numerical simulations based on second order wave theory, including both sum and frequency effects, are included.
Li, Dan 1969. "Low-frequency bottom backscattering data analysis using multiple constraints beamforming." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36060.
Повний текст джерелаLu, Jingxi. "Adjoint data assimilation in an equatorial coupled atmosphere-ocean model." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25100.pdf.
Повний текст джерелаZhao, Ning Ph D. Massachusetts Institute of Technology. "Reconstructing deglacial ocean ventilation using radiocarbon : data and inverse modeling." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/108960.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 137-149).
Significant changes occurred during the last deglaciation (roughly 10-20 thousand years (ka) before present) throughout the climate system. The ocean is a large reservoir of carbon and heat, however, its role during the deglaciation is still not well understood. In this thesis, I rely on radiocarbon measurements on fossil biogenic carbonates sampled from the seafloor to constrain deglacial ocean ventilation rates, using new data, an extensive data compilation, and inverse modeling. First, based on a sediment core that is absolutely dated from wooden remains, I argue that the deglacial ¹⁴C reservoir age of the upper East Equatorial Pacific was not very different from today. Combined with stable carbon isotope data, the results suggest that the deglacial atmospheric CO₂ rise was probably due to CO₂ released directly from the ocean (e.g., in the Southern Ocean) to the atmosphere rather than first mixed through the upper ocean. Then using a high-deposition-rate sediment core located close to deep water formation regions in the western North Atlantic, I show that compared to today, the mid-depth water production in the North Atlantic was probably stronger during the Younger Dryas cold episode, and weaker during other intervals of the late deglaciation. However, the change was not as large as suggested by previous studies. Finally, I compile published and unpublished deep ocean ¹⁴C data, and find that the ¹⁴C activity of the deep ocean mirrors that of the atmosphere during the past 25 ka. A box model of modern ocean circulation is fit to the compiled data using an inverse method. I find that the residuals of the fit can generally be explained by the data uncertainties, implying that the compiled data jointly do not provide strong evidence for basin-scale ventilation changes. Overall, this thesis suggests that, although deep ocean ventilation may have varied at some locations during the last deglaciation, the occurrence of basin-scale ventilation changes are much more difficult to be put on a firm footing. An imbalance between cosmogenic production and radioactive decay appears as the most natural explanation for the deglacial ¹⁴C activity decline observed in both the atmosphere and the deep ocean.
by Ning Zhao.
Ph. D.
Pinkerton, Matthew H. "Validating remotely-sensed ocean colour data using a moored databuoy." Thesis, University of Southampton, 2000. https://eprints.soton.ac.uk/42165/.
Повний текст джерелаMcLean, Lorna M. "The determination of ocean correlation scales using argo float data." Thesis, University of Southampton, 2010. https://eprints.soton.ac.uk/191939/.
Повний текст джерелаRoss, Ian. "Nonlinear dimensionality reduction methods in climate data analysis." Thesis, University of Bristol, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492479.
Повний текст джерелаDail, Holly Janine. "Atlantic Ocean circulation at the last glacial maximum : inferences from data and models." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78367.
Повний текст джерелаThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (p. 221-236).
This thesis focuses on ocean circulation and atmospheric forcing in the Atlantic Ocean at the Last Glacial Maximum (LGM, 18-21 thousand years before present). Relative to the pre-industrial climate, LGM atmospheric CO₂ concentrations were about 90 ppm lower, ice sheets were much more extensive, and many regions experienced significantly colder temperatures. In this thesis a novel approach to dynamical reconstruction is applied to make estimates of LGM Atlantic Ocean state that are consistent with these proxy records and with known ocean dynamics. Ocean dynamics are described with the MIT General Circulation Model in an Atlantic configuration extending from 35°S to 75°N at 1° resolution. Six LGM proxy types are used to constrain the model: four compilations of near sea surface temperatures from the MARGO project, as well as benthic isotope records of [delta]¹⁸O and [delta]¹³C compiled by Marchal and Curry; 629 individual proxy records are used. To improve the fit of the model to the data, a least-squares fit is computed using an algorithm based on the model adjoint (the Lagrange multiplier methodology). The adjoint is used to compute improvements to uncertain initial and boundary conditions (the control variables). As compared to previous model-data syntheses of LGM ocean state, this thesis uses a significantly more realistic model of oceanic physics, and is the first to incorporate such a large number and diversity of proxy records. A major finding is that it is possible to find an ocean state that is consistent with all six LGM proxy compilations and with known ocean dynamics, given reasonable uncertainty estimates. Only relatively modest shifts from modern atmospheric forcing are required to fit the LGM data. The estimates presented herein succesfully reproduce regional shifts in conditions at the LGM that have been inferred from proxy records, but which have not been captured in the best available LGM coupled model simulations. In addition, LGM benthic [delta]¹⁸O and [delta]¹³C records are shown to be consistent with a shallow but robust Atlantic meridional overturning cell, although other circulations cannot be excluded.
by Holly Janine Dail.
Ph.D.
Tyler, Robert H. "Electromagnetic fields generated by ocean currents and the potential for using geomagnetic data in ocean and climate studies." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=39884.
Повний текст джерелаFirst, general relativity theory is used to formally establish the proper set of electromagnetic equations to be used for observers in a rotating (accelerating) frame of reference observing a medium (the ocean, in this case) with relative velocity. Extra terms due to rotation are derived and described and a generalized Schiff's charge density is shown to be potentially significant for the application to ocean circulation.
We extend the theory of electromagnetic fields generated by ocean currents. Many analytical solutions are found for idealized ocean features including sheared flow, jets, and a Stommel gyre. Results indicate that the ocean-induced magnetic fields will typically have magnitudes of 10's-100's of nT within the ocean. Outside of the ocean, the magnitudes are smaller (typically 1-10 nT) but decay on scales set by the horizontal scale of the ocean feature.
We investigate the time-scales associated with the adjustment of electromagnetic fields generated by low-frequency ocean currents. We find that the time scales can be quite long, prohibiting a quasistatic assumption in the treatment of the electromagnetic fields generated by the important tidal, inertial, and diurnal-frequency ocean currents.
Three-dimensional explicit time-dependent and steady-state finite-difference numerical models are constructed to study the electromagnetic fields generated by more realistic ocean current and conductivity features.
The ocean currents generate electromagnetic forces on the fluid at the surface of the earth's core. If these forces lead to significant core motion, the effect of the oceans on the generation and variability of the earth's magnetic field may be nontrivial. We estimate the form and magnitude of these forces and make comparisons with observations. Despite many uncertainties, we find evidence to suggest the ocean forcing mechanism may be significant and conclude that this process should be further investigated in the context of a larger study.
This work indicates that it is likely that the geomagnetic record has captured oceanic signals. From a preliminary data analyses we find that aside from the oceanic tidal signals, the magnetic record shows other signals of possible oceanic origin including an apparent correlation between magnetic records from the equatorial Pacific and the Southern Oscillation Index. We discuss the prerequisites that are necessary to extract information about ocean circulation variability from the geomagnetic record.
Liu, Cheng-Chien. "Using SeaWiFS ocean colour data to test a plankton ecosystem model." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343733.
Повний текст джерелаCooper, Michael. "A dynamical method for assimilation of altimeter data into ocean models." Thesis, University of Edinburgh, 1995. http://hdl.handle.net/1842/14718.
Повний текст джерелаMedina, Daniel M. "Real-Time Visualizations of Ocean Data Collected by the NORUS Glider." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/348.
Повний текст джерелаMantzaris, Demetrios Alexis 1968. "Evaluation of the performance of sailing vessels based on towing tank and sailforce data." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12814.
Повний текст джерелаLi, Dan 1969. "Modeling of monostatic bottom backscattering from three-dimensional volume inhomogeneities and comparisons with experimental data." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43542.
Повний текст джерелаEucker, William. "A geospatial analysis of Arctic marine traffic." Thesis, University of Cambridge, 2012. https://www.repository.cam.ac.uk/handle/1810/248854.
Повний текст джерелаWeaver, Anthony T. "On assimilating sea surface temperature data into an ocean general circulation model." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29204.
Повний текст джерелаScience, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
Matear, Richard James. "Circulation of the Northeast Pacific Ocean inferred from temperature and salinity data." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/27594.
Повний текст джерелаScience, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
Sears, Timothy John. "Elastic full waveform inversion of multi-component ocean-bottom cable seismic data." Thesis, University of Cambridge, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.613186.
Повний текст джерелаTroccoli, Alberto. "Ocean data assimilation using the temperature-salinity relation and water mass diagnostics." Thesis, University of Edinburgh, 2000. http://hdl.handle.net/1842/14580.
Повний текст джерелаKosempa, Michael. "Southern Ocean Transport by Combining Satellite Altimetry and Temperature/Salinity Profile Data." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6658.
Повний текст джерелаHolmberg, Edward A. IV. "Data Visualization to Evaluate and Facilitate Targeted Data Acquisitions in Support of a Real-time Ocean Forecasting System." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1873.
Повний текст джерелаCunningham, Stuart Andrew. "Circulation and volume flux of the North Atlantic using synoptic hydrographic data in a Bernoulli Inverse." Thesis, University of Liverpool, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366422.
Повний текст джерелаLuerssen, Remy Martin. "Relationships between Oceanographic Satellite Data and Alexandrium Distributions in the Gulf of Maine." Fogler Library, University of Maine, 2001. http://www.library.umaine.edu/theses/pdf/LuerssenRM2001.pdf.
Повний текст джерелаMathers, Eunice Lucy. "Sea level response to atmospheric pressure and wind forcing in the global deep ocean." Thesis, University of Liverpool, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367977.
Повний текст джерелаGerber, Markus. "Assimilating ocean tracer data into the Bern3D model using an ensemble kalman filter /." [S.l.] : [s.n.], 2009. http://www.ub.unibe.ch/content/bibliotheken_sammlungen/sondersammlungen/dissen_bestellformular/index_ger.html.
Повний текст джерелаTokmakian, Robin Telrud. "The assimilation of satellite altimeter data into a global eddy resolving ocean model." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA333483.
Повний текст джерелаDissertation supervisor: Semtner, Albert J. Includes bibliographical references (p. 165-168). Also Available online.
Campbell, Jeffrey William. "Evaluation of GEOSAT data and application to variability of the northeast Pacific Ocean." Thesis, Cambridge, Massachusetts : Massachusetts Institute of Technology : Woods Hole Oceanographic Institution, 1988. http://hdl.handle.net/10945/23215.
Повний текст джерелаPart of the N.E. Pacific was studied to evaluate and use altimetric data from the Navy Geodetic Satellite GEOSAT. The zero-order accuracy of the major GEOSAT geophysical data record (GDR) channels was verified, and occasional gaps in the altimeter coverage were noted. GEOSAT's 17-day repeat orbit allowed use of collinear-track processing to create profiles of the difference between the sea surface height along a given satellite repeat, and the mean sea surface height along that repeat's groundtrack. Detrending of sea surface bias and tilt on each repeat reduced orbit and other long wavelength errors in the difference profiles. Corrections provided on the GEOSAT GDR were examined for their effects on the difference profiles of three test arcs. It was found that only the ocean tide, electromagnetic bias, and inverted barometer corrections varied enough over the arc lengths (approx. 4400 km) to have any noticeable effect on the difference profiles. Only the ocean tide correction was accurate enough to warrant using it to adjust the sea surface heights. Recommended processing of GEOSAT data for the area included making the ocean tide correction, three-point block averaging successive sea surface heights, and forming the mean height profiles from 18 repeat cycles (to reduce aliasing of the M2 tidal component), A set of difference profiles for one GEOSAT arc indicated that a reasonable estimate of GEOSAT's system precision was approx. 4.5 cm (RMS). The mid wavelength range (100-500 km) of these profiles was found to be the only range in which oceanic mesoscale features could be separated from altimeter errors
Campbell, Jeffrey William. "Evaluation of GEOSTAT data and application to variability of the Northeast Pacific Ocean." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/51465.
Повний текст джерелаGunson, James Reginald. "Time-dependent assimilation of CTD data to an open ocean Rossby wave model." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/52962.
Повний текст джерелаIncludes bibliographical references (leaves 66-68).
by James Reginald Gunson.
M.S.
Grey, Stephen M. "Analysis and assimilation of temperature and altimetry data in the North Atlantic Ocean." Thesis, University of Edinburgh, 1999. http://hdl.handle.net/1842/13954.
Повний текст джерела