# Review & Encyclopedia

Geophysical Fluid Dynamics, Nonautonomous Dynamical Systems, and the Climate Sciences. In: Mathematical Approach to Climate Change and its Impacts: MAC2I. Springer International Publishing ; 2020. pp. 3–81.Abstract

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A Century of Nonlinearity in the Geosciences. Earth and Space Science [Internet]. 2019;6 (7) :1007–1042. Publisher's Version

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The essence of data assimilation or why combine data with models, in Proc. 3rd WMO Intl Symp. Assimilation of Observations in Meteorology & Oceanography. ; 2000 :1–4.

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Bifurcation analysis of ocean, atmosphere, and climate models. In: Handbook of numerical analysis. Vol. 14. Elsevier ; 2009. pp. 187–229.

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Meteorological data assimilation for oceanographers. Part I: Description and theoretical framework. Dynamics of Atmospheres and Oceans. 1989;13 (3-4) :171–218.

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Climate variability: Nonlinear aspects. In: Encyclopedia of Atmospheric Sciences. Academic Press ; 2002. pp. 432–438.

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Low-frequency variability of the large-scale ocean circulation: a dynamical systems approach. Reviews of Geophysics. 2005;43.Abstract

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A mathematical theory of climate sensitivity or, How to deal with both anthropogenic forcing and natural variability?. In: Climate Change: Multidecadal and Beyond. World Scientific Publ. Co./Imperial College Press ; 2015. pp. 31–51.Abstract

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Hilbert problems for the geosciences in the 21st century. Nonlinear Processes in Geophysics. 2001;8 (4/5) :211–211.

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Extreme events: dynamics, statistics and prediction. Nonlinear Processes in Geophysics. 2011;18 (3) :295–350.Abstract

Solving problems with GCMs: General circulation models and their role in the climate modeling hierarchy. In: General Circulation Model Development: Past, Present and Future. Academic Press, San Diego ; 2000. pp. 285–325.

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Intraseasonal oscillations in the mid-latitudes: observations, theory, and GCM results, in Proceedings ECMWF/CLIVAR Workshop on Simulation and Prediction of Intra-Seasonal Variability with Emphasis on the MJO. ; 2003 :3–6.

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Unified Notation for Data Assimilation: Operational, Sequential and Variational. Journal of Meteorological Society of Japan. 1997;75 (1B) :181–189.

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Geophysical flows as dynamical systems: the influence of Hide's experiments. Astronomy & Geophysics. 2010;51 (4) :4–28.

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Data assimilation in meteorology and oceanography. Advances in Geophysics. 1991;33 :141–266.

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