Andrew M. Moore

发表

Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System

John C. Warner, James C. McWilliams, Thomas M. Powell, 2008, J. Comput. Phys..

Improved page-size 127-um-pixel amorphous-silicon image sensor for x-ray diagnostic medical imaging applications

Richard L. Weisfield, Robert A. Street, Raj B. Apte, 1997, Medical Imaging.

Data assimilation in a coupled physical–biogeochemical model of the California Current System using an incremental lognormal 4-dimensional variational approach: Part 1—Model formulation and biological data assimilation twin experiments

Andrew M. Moore, Hajoon Song, Christopher A. Edwards, 2016 .

An off‐line, numerically efficient initialization scheme in an oceanic general circulation model for El Niño–Southern Oscillation prediction

Andrew M. Moore, Youmin Tang, Richard Kleeman, 2004 .

Improving Variational Data Assimilation through Background and Observation Error Adjustments

Andrew M. Moore, Christopher A. Edwards, Jann Paul Mattern, 2017 .

How to use mixed precision in Ocean Models

Ana Cortés, Francisco J. Doblas-Reyes, Mario Acosta, 2019 .

Large-area low-noise amorphous silicon imaging system

Richard L. Weisfield, Robert A. Street, Raj B. Apte, 1998, Electronic Imaging.

The Regional Ocean Modeling System (ROMS) 4-dimensional variational data assimilation systems Part I - System overview and formulation

Hernan G. Arango, Andrew M. Moore, Anthony T. Weaver, 2011 .

Moving Towards Dynamic Ocean Management: How Well Do Modeled Ocean Products Predict Species Distributions?

Jay Barlow, Andrew M. Moore, Christopher A. Edwards, 2016, Remote. Sens..

Adjoint Data Assimilation Methods

Andrew M. Moore, A. Moore, 2011 .

How to use mixed precision in ocean models: exploring a potential reduction of numerical precision in NEMO 4.0 and ROMS 3.6

Ana Cortés, Francisco J. Doblas-Reyes, Mario Acosta, 2019, Geoscientific Model Development.

The Regional Ocean Modeling System (ROMS) 4-dimensional variational data assimilation systems: Part II – Performance and application to the California Current System

Hernan G. Arango, Daniel P. Costa, Andrew M. Moore, 2011 .

Observational Needs for Improving Ocean and Coupled Reanalysis, S2S Prediction, and Decadal Prediction

Stephen G. Penny, Yosuke Fujii, Ibrahim Hoteit, 2019, Front. Mar. Sci..

On the behavior of ocean analysis and forecast error covariance in the presence of baroclinic instability

Hernan G. Arango, Andrew M. Moore, A. Moore, 2021 .

Stochastic forcing of ENSO by the intraseasonal oscillation

Andrew M. Moore, Richard Kleeman, A. Moore, 1999 .

Assimilation of Subsurface Thermal Data into a Simple Ocean Model for the Initialization of an Intermediate Tropical Coupled Ocean-Atmosphere Forecast Model

Neville Smith, Andrew M. Moore, Richard Kleeman, 1995 .

A Theory for the Limitation of ENSO Predictability Due to Stochastic Atmospheric Transients

Andrew M. Moore, Richard Kleeman, A. Moore, 1997 .

Interannual spring bloom variability and Ekman pumping in the coastal Gulf of Alaska

Andrew M. Moore, Jerome Fiechter, A. Moore, 2009 .

The Nonnormality of Coastal Ocean Flows around Obstacles, and Their Response to Stochastic Forcing

Andrew M. Moore, Jason H. Middleton, A. Moore, 2002 .

Impacts of a 4-dimensional variational data assimilation in a coastal ocean model of southern Tyrrhenian Sea

Andrew M. Moore, Enrico Zambianchi, A. Moore, 2016 .

Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean

Peter R. Oke, Paolo Oddo, Anna Teruzzi, 2019, Front. Mar. Sci..

Progress and Prospects of U.S. Data Assimilation in Ocean Research

Pierre F. J. Lermusiaux, Andrew M. Moore, Detlef Stammer, 2006 .

Coupled ocean–atmosphere dynamics in the Indian Ocean during 1997–98

Peter J. Webster, Andrew M. Moore, Robert R. Leben, 1999, Nature.

Using Adjoint Models for Stability and Predictability Analysis

Andrew M. Moore, Brian F. Farrell, B. Farrell, 1994 .

Data assimilation of physical and chlorophyll a observations in the California Current System using two biogeochemical models

Andrew M. Moore, Hajoon Song, Christopher A. Edwards, 2017 .

Optimal Excitation of Interannual Atlantic Meridional Overturning Circulation Variability

Patrick Heimbach, Andrew M. Moore, Eli Tziperman, 2011 .

Iron limitation impact on eddy-induced ecosystem variability in the coastal Gulf of Alaska

Andrew M. Moore, Jerome Fiechter, 2012 .

A Non-normal View of the Wind-Driven Ocean Circulation

Andrew M. Moore, Javier Zavala-Garay, A. Moore, 2002 .

Data assimilation in a coupled physical-biogeochemical model of the California current system using an incremental lognormal 4-dimensional variational approach: Part 3—Assimilation in a realistic context using satellite and in situ observations

Andrew M. Moore, Hajoon Song, Christopher A. Edwards, 2016 .

Weak and strong constraint data assimilation in the inverse Regional Ocean Modeling System (ROMS): Development and application for a baroclinic coastal upwelling system

Hernan G. Arango, Bruce D. Cornuelle, Emanuele Di Lorenzo, 2007 .

A New Method for Determining the Reliability of Dynamical ENSO Predictions

Andrew M. Moore, Richard Kleeman, A. Moore, 1999 .

B‐preconditioned minimization algorithms for variational data assimilation with the dual formulation

Serge Gratton, Hernan G. Arango, A. Piacentini, 2014 .

Data Assimilation in a Quasi-geostrophic Open-Ocean Model of the Gulf Stream Region Using the Adjoint Method

Andrew M. Moore, A. Moore, 1991 .

4DVAR data assimilation in the Intra-Americas Sea with the Regional Ocean Modeling System (ROMS)

Hernan G. Arango, Ralph F. Milliff, Andrew M. Moore, 2008 .

The Calculation of Climatically Relevant Singular Vectors in the Presence of Weather Noise as Applied to the ENSO Problem

Andrew M. Moore, Youmin Tang, Richard Kleeman, 2003 .

The impact of the ocean observing system on estimates of the California current circulation spanning three decades

Andrew M. Moore, Christopher A. Edwards, Jerome Fiechter, 2017 .

Impacts of the 2015–2016 El Niño on the California Current System: Early assessment and comparison to past events

Daniel L. Rudnick, Elliott L. Hazen, Steven J. Bograd, 2016 .

Modeling iron limitation of primary production in the coastal Gulf of Alaska

Thomas M. Powell, Kenneth W. Bruland, Emanuele Di Lorenzo, 2009 .

An historical analysis of the California Current circulation using ROMS 4 D-Var . Part I : System configuration and diagnostics

Andrew M. Moore, Emilie Neveu, Christopher A. Edwards, 2016 .

A comprehensive ocean prediction and analysis system based on the tangent linear and adjoint of a regional ocean model

Hernan G. Arango, Bruce D. Cornuelle, Emanuele Di Lorenzo, 2004 .

Nutrient and salinity decadal variations in the central and eastern North Pacific

Steven J. Bograd, Andrew C. Thomas, Albert J. Hermann, 2009 .

Seasonal surface ocean circulation and dynamics in the Philippine Archipelago region during 2004–2008

Hernan G. Arango, Emanuele Di Lorenzo, Julia Levin, 2009 .

Maximally-Informative Regional Ocean Modeling System (ROMS) Navigation of an AUV in Uncertain Ocean Currents

Dejan Milutinovic, Ross P. Anderson, Andrew M. Moore, 2012 .

Application of 4D-Variational data assimilation to the California Current System

Andrew M. Moore, Christopher A. Edwards, Brian S. Powell, 2009 .

DVAR data assimilation in the Intra-Americas Sea with the Regional Ocean Modeling System ( ROMS )

Hernan G. Arango, Ralph F. Milliff, Andrew M. Moore, 2008 .

Estimates of Analysis and Forecast Error Variances Derived from the Adjoint of 4D-Var

Hernan G. Arango, Andrew M. Moore, Gregoire Broquet, 2012 .

Comparison of Information-Based Measures of Forecast Uncertainty in Ensemble ENSO Prediction

Andrew M. Moore, Youmin Tang, Richard Kleeman, 2008 .

Reduced‐Rank Array Modes of the California Current Observing System

Hernan G. Arango, Andrew M. Moore, Christopher A. Edwards, 2017 .