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...

Full description

Bibliographic Details
Main Author: Majda, Andrew J
Other Authors: NEW YORK UNIV NY COURANT INST OF MATHEMATICAL SCIENCES
Format: Text
Language:English
Published: 2013
Subjects:
Online Access:http://www.dtic.mil/docs/citations/ADA601833
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA601833
id ftdtic:ADA601833
record_format openpolar
spelling 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
institution Open Polar
collection Defense Technical Information Center: DTIC Technical Reports database
op_collection_id ftdtic
language English
topic 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
geographic_facet Pacific
genre Sea ice
genre_facet Sea ice
op_source DTIC
op_relation http://www.dtic.mil/docs/citations/ADA601833
op_rights Approved for public release; distribution is unlimited.
_version_ 1766193383522435072