Report: Physics Constrained Stochastic Statistical Models for Extended Range Environmental Prediction
The timing of the receipt of the MURI funds in August 2012 hampered the assembly of the full MURI team in this initial reporting period since typically post docs in applied math only became available for hiring after June, July, August, 2013. Despite this difficulty there are exciting results on eig...
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ftdtic:ADA601833 2023-05-15T18:17:54+02:00 Report: Physics Constrained Stochastic Statistical Models for Extended Range Environmental Prediction Majda, Andrew J NEW YORK UNIV NY COURANT INST OF MATHEMATICAL SCIENCES 2013-09-30 text/html http://www.dtic.mil/docs/citations/ADA601833 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA601833 en eng http://www.dtic.mil/docs/citations/ADA601833 Approved for public release; distribution is unlimited. DTIC Atmospheric Physics Statistics and Probability *CLIMATE *MATHEMATICAL PREDICTION *STATISTICAL ANALYSIS *STOCHASTIC PROCESSES CONVECTION(HEAT TRANSFER) ENVIRONMENTS FORECASTING NORTH PACIFIC OCEAN OSCILLATION REGRESSION ANALYSIS SEA ICE TURBULENCE UNCERTAINTY *STOCHASTIC STATISTICAL MODELS ENVIRONMENTAL PREDICTION NONLINEAR LAPLACIAN SPECTRAL ANALYSIS MJO(MADDEN-JULIAN OSCILLATION) Text 2013 ftdtic 2016-02-24T15:09:16Z The timing of the receipt of the MURI funds in August 2012 hampered the assembly of the full MURI team in this initial reporting period since typically post docs in applied math only became available for hiring after June, July, August, 2013. Despite this difficulty there are exciting results on eight major topics in the MURI during the past year by MURI-PI, Andrew Majda, Co-PI s , Sam Stechmann (U. Wisconsin), John Harlim (Penn State), Duane Waliser (JPL-UCLA), and Dimitri Giannakis (Courant Institute) with their post docs and Ph.D. students: A. Reemergence Mechanisms for North Pacific Sea Ice Revealed through Nonlinear Laplacian Spectral Analysis B. Symmetric and Antisymmetric Madden-Julian oscillation signals in tropical deep convective systems C. Limits of Predictability in the North Pacific Sector of a Comprehensive Climate Model D. Stochastic Skeleton Model for the MJO E. Observations and the Stochastic Skeleton Model F. Physics Constrained Nonlinear Regression Models for Time Series G. Statistically Accurate Low Order Models for Uncertainty Quantification in Turbulent Dynamical Systems H. Mathematical Techniques for Quantifying Uncertainty in Complex Systems with Model Error with Prototype Applications. Text Sea ice Defense Technical Information Center: DTIC Technical Reports database Pacific |
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Defense Technical Information Center: DTIC Technical Reports database |
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English |
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Atmospheric Physics Statistics and Probability *CLIMATE *MATHEMATICAL PREDICTION *STATISTICAL ANALYSIS *STOCHASTIC PROCESSES CONVECTION(HEAT TRANSFER) ENVIRONMENTS FORECASTING NORTH PACIFIC OCEAN OSCILLATION REGRESSION ANALYSIS SEA ICE TURBULENCE UNCERTAINTY *STOCHASTIC STATISTICAL MODELS ENVIRONMENTAL PREDICTION NONLINEAR LAPLACIAN SPECTRAL ANALYSIS MJO(MADDEN-JULIAN OSCILLATION) |
spellingShingle |
Atmospheric Physics Statistics and Probability *CLIMATE *MATHEMATICAL PREDICTION *STATISTICAL ANALYSIS *STOCHASTIC PROCESSES CONVECTION(HEAT TRANSFER) ENVIRONMENTS FORECASTING NORTH PACIFIC OCEAN OSCILLATION REGRESSION ANALYSIS SEA ICE TURBULENCE UNCERTAINTY *STOCHASTIC STATISTICAL MODELS ENVIRONMENTAL PREDICTION NONLINEAR LAPLACIAN SPECTRAL ANALYSIS MJO(MADDEN-JULIAN OSCILLATION) Majda, Andrew J Report: Physics Constrained Stochastic Statistical Models for Extended Range Environmental Prediction |
topic_facet |
Atmospheric Physics Statistics and Probability *CLIMATE *MATHEMATICAL PREDICTION *STATISTICAL ANALYSIS *STOCHASTIC PROCESSES CONVECTION(HEAT TRANSFER) ENVIRONMENTS FORECASTING NORTH PACIFIC OCEAN OSCILLATION REGRESSION ANALYSIS SEA ICE TURBULENCE UNCERTAINTY *STOCHASTIC STATISTICAL MODELS ENVIRONMENTAL PREDICTION NONLINEAR LAPLACIAN SPECTRAL ANALYSIS MJO(MADDEN-JULIAN OSCILLATION) |
description |
The timing of the receipt of the MURI funds in August 2012 hampered the assembly of the full MURI team in this initial reporting period since typically post docs in applied math only became available for hiring after June, July, August, 2013. Despite this difficulty there are exciting results on eight major topics in the MURI during the past year by MURI-PI, Andrew Majda, Co-PI s , Sam Stechmann (U. Wisconsin), John Harlim (Penn State), Duane Waliser (JPL-UCLA), and Dimitri Giannakis (Courant Institute) with their post docs and Ph.D. students: A. Reemergence Mechanisms for North Pacific Sea Ice Revealed through Nonlinear Laplacian Spectral Analysis B. Symmetric and Antisymmetric Madden-Julian oscillation signals in tropical deep convective systems C. Limits of Predictability in the North Pacific Sector of a Comprehensive Climate Model D. Stochastic Skeleton Model for the MJO E. Observations and the Stochastic Skeleton Model F. Physics Constrained Nonlinear Regression Models for Time Series G. Statistically Accurate Low Order Models for Uncertainty Quantification in Turbulent Dynamical Systems H. Mathematical Techniques for Quantifying Uncertainty in Complex Systems with Model Error with Prototype Applications. |
author2 |
NEW YORK UNIV NY COURANT INST OF MATHEMATICAL SCIENCES |
format |
Text |
author |
Majda, Andrew J |
author_facet |
Majda, Andrew J |
author_sort |
Majda, Andrew J |
title |
Report: Physics Constrained Stochastic Statistical Models for Extended Range Environmental Prediction |
title_short |
Report: Physics Constrained Stochastic Statistical Models for Extended Range Environmental Prediction |
title_full |
Report: Physics Constrained Stochastic Statistical Models for Extended Range Environmental Prediction |
title_fullStr |
Report: Physics Constrained Stochastic Statistical Models for Extended Range Environmental Prediction |
title_full_unstemmed |
Report: Physics Constrained Stochastic Statistical Models for Extended Range Environmental Prediction |
title_sort |
report: physics constrained stochastic statistical models for extended range environmental prediction |
publishDate |
2013 |
url |
http://www.dtic.mil/docs/citations/ADA601833 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA601833 |
geographic |
Pacific |
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Pacific |
genre |
Sea ice |
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Sea ice |
op_source |
DTIC |
op_relation |
http://www.dtic.mil/docs/citations/ADA601833 |
op_rights |
Approved for public release; distribution is unlimited. |
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1766193383522435072 |