Andrew M. Moore focuses on Climatology, Data assimilation, Meteorology, Oceanography and Forcing. His study in Climatology is interdisciplinary in nature, drawing from both Current, Atmosphere and Predictability. His Predictability research incorporates themes from Anomaly and Ocean current.
His Data assimilation research includes elements of Ocean modeling, Constraint and Applied mathematics. His research in Oceanography focuses on subjects like Ecosystem, which are connected to The Blob, Productivity, Glider and Pacific decadal oscillation. His research integrates issues of Stochastic process, Kelvin wave and Heat flux in his study of Forcing.
Andrew M. Moore mainly focuses on Climatology, Data assimilation, Meteorology, Ocean current and Regional Ocean Modeling System. The various areas that Andrew M. Moore examines in his Climatology study include Oceanography, Upwelling and Predictability. His Data assimilation research focuses on Applied mathematics and how it relates to Mathematical optimization and Covariance.
Andrew M. Moore combines subjects such as Assimilation, Forcing, Argo and Nonlinear system with his study of Meteorology. Andrew M. Moore has included themes like Hydrography and Circulation in his Regional Ocean Modeling System study. His studies examine the connections between Forcing and genetics, as well as such issues in Wind stress, with regards to Heat flux.
The scientist’s investigation covers issues in Data assimilation, Climatology, Regional Ocean Modeling System, Oceanography and Meteorology. His Data assimilation study integrates concerns from other disciplines, such as Covariance, Statistics, Ocean observations and Ocean current. His Climatology research is multidisciplinary, incorporating elements of Assimilation and Circulation.
The various areas that Andrew M. Moore examines in his Regional Ocean Modeling System study include Hydrography, Sea surface temperature, Sea-surface height and Geostrophic wind. His work on Upwelling as part of general Oceanography study is frequently linked to Wind circulation, therefore connecting diverse disciplines of science. Andrew M. Moore interconnects Kalman filter and Argo in the investigation of issues within Meteorology.
His primary areas of investigation include Climatology, Data assimilation, Oceanography, Regional Ocean Modeling System and Sea surface temperature. Forcing and Argo are the core of his Climatology study. His Data assimilation study is focused on Meteorology in general.
Andrew M. Moore focuses mostly in the field of Oceanography, narrowing it down to matters related to Ecosystem and, in some cases, The Blob and Productivity. The concepts of his Regional Ocean Modeling System study are interwoven with issues in Hydrography, Mixed layer, Mathematical model and Deviance. His work carried out in the field of Sea surface temperature brings together such families of science as Bathythermograph, Potential vorticity, Gulf Stream and Temperature salinity diagrams.
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Coupled ocean–atmosphere dynamics in the Indian Ocean during 1997–98
Peter J. Webster;Andrew M. Moore;Johannes P. Loschnigg;Robert R. Leben.
Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System
D. B. Haidvogel;H. Arango;W. P. Budgell;B. D. Cornuelle.
Journal of Computational Physics (2008)
Stochastic Forcing of ENSO by the Intraseasonal Oscillation
Andrew M. Moore;Richard Kleeman.
Journal of Climate (1999)
Impacts of the 2015–2016 El Niño on the California Current System: Early assessment and comparison to past events
Geophysical Research Letters (2016)
The Regional Ocean Modeling System (ROMS) 4-dimensional variational data assimilation systems Part I - System overview and formulation
Andrew M. Moore;Hernan G. Arango;Gregoire Broquet;Brian S. Powell.
Progress in Oceanography (2011)
The dynamics of error growth and predictability in a coupled model of ENSO
Andrew M. Moore;Richard Kleeman.
Quarterly Journal of the Royal Meteorological Society (1996)
A Theory for the Limitation of ENSO Predictability Due to Stochastic Atmospheric Transients
Richard Kleeman;Andrew M. Moore.
Journal of the Atmospheric Sciences (1997)
A comprehensive ocean prediction and analysis system based on the tangent linear and adjoint of a regional ocean model
Andrew M. Moore;Hernan G. Arango;Emanuele Di Lorenzo;Bruce D. Cornuelle.
Ocean Modelling (2004)
Nutrient and salinity decadal variations in the central and eastern North Pacific
E. Di Lorenzo;J. Fiechter;N. Schneider;A. Bracco.
Geophysical Research Letters (2009)
Interdecadal modulation of Australian rainfall
J. M. Arblaster;G. A. Meehl;A. M. Moore.
Climate Dynamics (2002)
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