Adaptive error estimation in linearized ocean general circulation models

Chechelnitsky, Michael Y.

doi:10.1575/1912/4743

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…A constant energy exchange with substances (with universes) create stable auto-oscillation systems in which the frequencies of external fields and all subsystems are commensurable. The relict radiation (the relict isotropic standing waves at T=2.725 K -the Cosmic Microwave Background Radiation (CMBR)) and many isotropic standing waves in cosmic medium [9] should be results of self-organization of the stable hydrogen atoms, according to the universal resonance synchronization principle that is a consequence of the fundamental energy conservation law. One of the fundamental predictions of the Hot Big Bang theory for the creation of the Universe is CMBR.…”

Section: )mentioning

confidence: 99%

New Cooperative Mechanisms of Low-Energy Nuclear Reactions Using Super Low-Energy External Field

Gareev

Zhidkova

2006

Condensed Matter Nuclear Science

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Section: )mentioning

confidence: 99%

New Cooperative Mechanisms of Low-Energy Nuclear Reactions Using Super Low-Energy External Field

Gareev

Zhidkova

2006

Condensed Matter Nuclear Science

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Error Estimates for an Ocean General Circulation Model from Altimeter and Acoustic Tomography Data

Menemenlis¹,

Chechelnitsky²

2000

Mon. Wea. Rev.

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An offline approach is proposed for the estimation of model and data error covariance matrices whereby covariance matrices of model data residuals are ''matched'' to their theoretical expectations using familiar leastsquares methods. This covariance matching approach is both a powerful diagnostic tool for addressing theoretical questions and an efficient estimator for real data assimilation studies.Provided that model and data errors are independent, that error propagation is approximately linear, and that an observability condition is met, it is in theory possible to fully resolve covariance matrices for both model and data errors. In practice, however, due to large uncertainties in sample estimates of covariance matrices, the number of statistically significant parameters that can be estimated is two to three orders of magnitude smaller than the total number of independent observations. The covariance matching approach is applied in the North Pacific (5Њ-60ЊN, 132Њ-252ЊE) to TOPEX/Poseidon sea level anomaly data, acoustic tomography data from the Acoustic Thermometry of Ocean Climate Project, and a GCM. A reduced state linear model that describes large-scale internal (baroclinic) error dynamics is constructed. Twin experiments suggest that altimetric data are ill suited to estimating the statistics of the vertical GCM error structure, but that such estimates can in theory be obtained using acoustic data.The particular GCM integration exhibits a warming trend relative to TOPEX/Poseidon data of order 1 cm yr Ϫ1 corresponding to a peak warming of up to 0.2ЊC yr Ϫ1 in the acoustic data at depths ranging from 50 to 200 m. At the annual cycle, GCM and TOPEX/Poseidon sea level anomaly are in phase, but GCM amplitude is 2 cm smaller, with the error confined above 200-m depth. After removal of trends and annual cycles, the lowfrequency/wavenumber (periods Ͼ2 months, wavelengths Ͼ16Њ) TOPEX/Poseidon sea level anomaly is order 6 cm 2 . The GCM explains about 40% of that variance. By covariance matching, it is estimated that 60% of the GCM-TOPEX/Poseidon residual variance is consistent with the reduced state linear model.

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Adaptive error estimation in linearized ocean general circulation models

Cited by 2 publications

References 31 publications

New Cooperative Mechanisms of Low-Energy Nuclear Reactions Using Super Low-Energy External Field

New Cooperative Mechanisms of Low-Energy Nuclear Reactions Using Super Low-Energy External Field

Error Estimates for an Ocean General Circulation Model from Altimeter and Acoustic Tomography Data

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