D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 77 Citations 23,705 317 World Ranking 384 National Ranking 200

Research.com Recognitions

Awards & Achievements

1998 - Member of Academia Europaea

1995 - Fellow of American Geophysical Union (AGU)

1991 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Advanced spectral methods for climatic time series

Michael Ghil;M. R. Allen;M. D. Dettinger;Kayo Ide.
Reviews of Geophysics (2002)

2162 Citations

Singular-spectrum analysis: a toolkit for short, noisy chaotic signals

Robert Vautard;Pascal Yiou;Michael Ghil.
Physica D: Nonlinear Phenomena (1992)

1641 Citations

Singular spectrum analysis in nonlinear dynamics, with applications to paleoclimatic time series

Robert Vautard;Michael Ghil.
Physica D: Nonlinear Phenomena (1989)

1337 Citations

Data assimilation in meteorology and oceanography

Michael Ghil;Paola Malanotte-Rizzoli.
Advances in Geophysics (1991)

1126 Citations

Unified Notation for Data Assimilation : Operational, Sequential and Variational (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice)

Kayo Ide;Philippe Courtier;Michael Ghil;Andrew C. Lorenc.
Journal of the Meteorological Society of Japan (1997)

1035 Citations

Interdecadal oscillations and the warming trend in global temperature time series

Michael Ghil;Robert Vautard.
Nature (1991)

634 Citations

Topics in Geophysical Fluid Dynamics: Atmospheric Dynamics, Dynamo Theory, and Climate Dynamics

Michael Ghil;Stephen Childress.
(2011)

588 Citations

El Niño on the Devil's Staircase: Annual Subharmonic Steps to Chaos

Fei-Fei Jin;J. David Neelin;Michael Ghil.
Science (1994)

577 Citations

Turbulence and predictability in geophysical fluid dynamics and climate dynamics

Michael Ghil;Roberto Benzi;Giorgio Parisi.
(1985)

556 Citations

Advanced data assimilation in strongly nonlinear dynamical systems

Robert N. Miller;Michael Ghil;François Gauthiez.
Journal of the Atmospheric Sciences (1994)

510 Citations

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