What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Statistics
- Mathematical analysis
His primary areas of study are Climatology, Meteorology, Singular spectrum analysis, Nonlinear system and Statistics.
Michael Ghil regularly ties together related areas like Climate change in his Climatology studies.
When carried out as part of a general Meteorology research project, his work on Data assimilation is frequently linked to work in Cyclone, therefore connecting diverse disciplines of study.
His Singular spectrum analysis research incorporates elements of Univariate, Principal component analysis, Adaptive filter and Mode.
His Nonlinear system study combines topics in areas such as Stochastic modelling, Amplitude, Statistical physics, Markov chain and Applied mathematics.
His Statistics research integrates issues from Algorithm, Extreme events, Complementarity and Econometrics.
His most cited work include:
- Advanced spectral methods for climatic time series (1661 citations)
- Singular-spectrum analysis: a toolkit for short, noisy chaotic signals (1076 citations)
- Singular spectrum analysis in nonlinear dynamics, with applications to paleoclimatic time series (878 citations)
What are the main themes of his work throughout his whole career to date?
Michael Ghil mostly deals with Climatology, Meteorology, Atmospheric sciences, Nonlinear system and Singular spectrum analysis.
His Climatology study incorporates themes from Atmosphere and Oscillation.
Michael Ghil is involved in the study of Meteorology that focuses on Data assimilation in particular.
The various areas that Michael Ghil examines in his Atmospheric sciences study include Sea surface temperature, Mechanics and Predictability.
His Nonlinear system study integrates concerns from other disciplines, such as Dynamical systems theory, Statistical physics and Attractor, Mathematical analysis.
His Singular spectrum analysis research focuses on subjects like Business cycle, which are linked to Recession.
He most often published in these fields:
- Climatology (44.31%)
- Meteorology (17.73%)
- Atmospheric sciences (18.23%)
What were the highlights of his more recent work (between 2016-2021)?
- Climatology (44.31%)
- Dynamical systems theory (12.04%)
- Applied mathematics (9.20%)
In recent papers he was focusing on the following fields of study:
His main research concerns Climatology, Dynamical systems theory, Applied mathematics, Data assimilation and Climate change.
Michael Ghil integrates Climatology and Climate oscillation in his research.
His Dynamical systems theory research includes themes of Mathematical economics and Hierarchy.
Michael Ghil combines subjects such as Markov process and Robustness with his study of Applied mathematics.
His Data assimilation study also includes
- Model selection which is related to area like Ensemble Kalman filter, Estimation theory, Algorithm, Range and Domain,
- Artificial intelligence and related Pattern recognition and Time series.
His Atmosphere study which covers Predictability that intersects with Singular spectrum analysis.
Between 2016 and 2021, his most popular works were:
- The physics of climate variability and climate change (49 citations)
- Ocean circulation, ice shelf, and sea ice interactions explain Dansgaard-Oeschger cycles. (27 citations)
- Ocean circulation, ice shelf, and sea ice interactions explain Dansgaard-Oeschger cycles. (27 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Statistics
- Mathematical analysis
His scientific interests lie mostly in Climatology, Ice core, Paleoclimatology, Glacial period and Nonlinear system.
In most of his Climatology studies, his work intersects topics such as Harmonic.
The concepts of his Ice core study are interwoven with issues in North Greenland Ice Core Project and Proxy.
Michael Ghil interconnects Stochastic modelling, Probability density function and Temporal resolution in the investigation of issues within North Greenland Ice Core Project.
His Paleoclimatology study combines topics from a wide range of disciplines, such as Marine isotope stage, Northern Hemisphere, Physical geography, Loess and Stadial.
His Nonlinear system research is multidisciplinary, relying on both Dissipative dynamical systems, Attractor, Statistical physics and Amplitude.
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