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    Using PPCA to Estimate EOFs in the Presence of Missing Values 

    Source: Journal of Atmospheric and Oceanic Technology:;2004:;volume( 021 ):;issue: 009:;page 1471
    Author(s): Houseago-Stokes, Richenda E.; Challenor, Peter G.
    Publisher: American Meteorological Society
    Abstract: One of the problems encountered when using satellite-derived sea surface temperature (SST) data is the impossibility of retrieving data where the ocean surface is obscured by cloud. Empirical orthogonal function (EOF) ...
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    Estimation of Mean Dynamic Height from Altimeter Profiles and Hydrography 

    Source: Journal of Atmospheric and Oceanic Technology:;1999:;volume( 016 ):;issue: 011:;page 1873
    Author(s): Laing, Andrew K.; Challenor, Peter G.
    Publisher: American Meteorological Society
    Abstract: The mean dynamic height of the ocean surface is estimated along a subsatellite track of TOPEX/Poseidon crossing the East Auckland Current system northeast of New Zealand. Repeated hydrographic surveys along the track, ...
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    Use of the 3D Radon Transform to Examine the Properties of Oceanic Rossby Waves 

    Source: Journal of Atmospheric and Oceanic Technology:;2001:;volume( 018 ):;issue: 009:;page 1558
    Author(s): Challenor, Peter G.; Cipollini, Paolo; Cromwell, David
    Publisher: American Meteorological Society
    Abstract: One of the most successful applications of satellite-borne radar altimeter data over the oceans in recent years has been the extraction of information about long-wavelength baroclinic Rossby (or planetary) waves, which ...
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    CORRIGENDUM 

    Source: Journal of Atmospheric and Oceanic Technology:;2002:;volume( 019 ):;issue: 005:;page 828
    Author(s): Challenor, Peter G.; Cipollini, Paolo; Cromwell, David
    Publisher: American Meteorological Society
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    Toward Estimating Climatic Trends in SST. Part II: Random Errors 

    Source: Journal of Atmospheric and Oceanic Technology:;2006:;volume( 023 ):;issue: 003:;page 476
    Author(s): Kent, Elizabeth C.; Challenor, Peter G.
    Publisher: American Meteorological Society
    Abstract: Random observational errors for sea surface temperature (SST) are estimated using merchant ship reports from the International Comprehensive Ocean?Atmosphere Data Set (ICOADS) for the period of 1970?97. A statistical ...
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    On the Use of Emulators with Extreme and Highly Nonlinear Geophysical Simulators 

    Source: Journal of Atmospheric and Oceanic Technology:;2012:;volume( 029 ):;issue: 011:;page 1704
    Author(s): Tokmakian, Robin; Challenor, Peter; Andrianakis, Yiannis
    Publisher: American Meteorological Society
    Abstract: aussian process emulators are a powerful tool for understanding complex geophysical simulators, including oceanic and atmospheric general circulation models. Concern has been raised about their ability to emulate complex ...
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    A New Statistical Modeling Approach to Ocean Front Detection from SST Satellite Images 

    Source: Journal of Atmospheric and Oceanic Technology:;2010:;volume( 027 ):;issue: 001:;page 173
    Author(s): Hopkins, Jo; Challenor, Peter; Shaw, Andrew G. P.
    Publisher: American Meteorological Society
    Abstract: Ocean fronts are narrow zones of intense dynamic activity that play an important role in global ocean?atmosphere interactions. Owing to their highly variable nature, both in space and time, they are notoriously difficult ...
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    The Effect of Successive Correction on Variability Estimates for Climatological Datasets 

    Source: Journal of Climate:;2000:;volume( 013 ):;issue: 011:;page 1845
    Author(s): Kent, Elizabeth C.; Taylor, Peter K.; Challenor, Peter G.
    Publisher: American Meteorological Society
    Abstract: The effects on a dataset of smoothing by successive correction have been investigated. The resulting spatial resolution is estimated using a distribution of ship reports from a sample month. Although the smoothing uses the ...
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    A Statistical Determination of the Random Observational Errors Present in Voluntary Observing Ships Meteorological Reports 

    Source: Journal of Atmospheric and Oceanic Technology:;1999:;volume( 016 ):;issue: 007:;page 905
    Author(s): Kent, Elizabeth C.; Challenor, Peter G.; Taylor, Peter K.
    Publisher: American Meteorological Society
    Abstract: The random observational errors for meteorological variables within the Comprehensive Ocean?Atmosphere Dataset (COADS) have been determined using the semivariogram statistical technique. The error variance has been calculated ...
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    Stochastic Downscaling to Chaotic Weather Regimes Using Spatially Conditioned Gaussian Random Fields with Adaptive Covariance 

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 006:;page 2233
    Author(s): Prudden, Rachel;Robinson, Niall;Challenor, Peter;Everson, Richard
    Publisher: American Meteorological Society
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    DSpace software copyright © 2002-2015  DuraSpace
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