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Holger Pohlmann

Holger Pohlmann

D-Index & Metrics

Environmental Sciences

D-Index
40
Citations
8411
World Ranking
7952
National Ranking
501

Overview

Holger Pohlmann is affiliated with the Max Planck Society in Germany and conducts research primarily in Earth and Planetary Sciences and Environmental Science. Their work focuses extensively on the study of climate variability and models, meteorological phenomena and simulations, and atmospheric ozone and climate.

The researcher has contributed to a number of recent scientific papers, which include:

  • "North Atlantic climate far more predictable than models imply" (2020), published in Nature
  • "The ICON Earth System Model Version 1.0" (2022), published in Journal of Advances in Modeling Earth Systems
  • "WMO Global Annual to Decadal Climate Update: A Prediction for 2021-25" (2022), published in Bulletin of the American Meteorological Society
  • "The German Climate Forecast System: GCFS" (2021), published in Journal of Advances in Modeling Earth Systems
  • "Prediction of the quasi-biennial oscillation with a multi-model ensemble of QBO-resolving models" (2020), published in Quarterly Journal of the Royal Meteorological Society

Frequent coauthors in Pohlmann's research include Johanna Baehr, Doug Smith, Kristina Fröhlich, Sebastian Brune, and Adam A. Scaife. This collaboration pattern spans multiple papers and contributes to the development of climate and atmospheric models.

The scientist's work has appeared repeatedly in leading academic venues such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Advances in Modeling Earth Systems
  • Bulletin of the American Meteorological Society
  • Quarterly Journal of the Royal Meteorological Society
  • Frontiers in Climate

Pohlmann's subfields of study highlight a detailed focus on global and planetary change, atmospheric science, and oceanography, with additional engagement in astronomy, astrophysics, and ecology.

Key topics addressed in their research include:

  • Climate variability and models
  • Meteorological phenomena and simulations
  • Atmospheric ozone and climate
  • Oceanographic and atmospheric processes
  • Atmospheric and environmental gas dynamics
  • Plant water relations and carbon dynamics
  • Tropical and extratropical cyclones research

Best Publications

  • Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO2.

    Thorsten Mauritsen;Thorsten Mauritsen;Jürgen Bader;Tobias Becker;Jörg Behrens

  • A higher-resolution version of the Max Planck Institute Earth System Model (MPI-ESM1.2-HR)

    W. A. Müller;W. A. Müller;J. H. Jungclaus;T. Mauritsen;J. Baehr

  • Decadal Climate Prediction: An Update from the Trenches

    Gerald A. Meehl;Lisa Goddard;George Boer;Robert Burgman

  • Initializing Decadal Climate Predictions with the GECCO Oceanic Synthesis: Effects on the North Atlantic

    Holger Pohlmann;Johann H. Jungclaus;Armin Köhl;Detlef Stammer

  • Skilful multi-year predictions of Atlantic hurricane frequency

    Doug M. Smith;Rosie Eade;Nick J. Dunstone;David Fereday

  • Robust skill of decadal climate predictions

    D. M. Smith;R. Eade;A. A. Scaife;A. A. Scaife;L.-P. Caron

  • North Atlantic climate far more predictable than models imply

    Doug M. Smith;A. Scaife;A. Scaife;Rosie Eade;P. Athanasiadis

  • Bistability of the Atlantic overturning circulation in a global climate model and links to ocean freshwater transport

    Ed Hawkins;Robin S. Smith;Lesley C. Allison;Jonathan M. Gregory;Jonathan M. Gregory

  • Interannual to Decadal Climate Predictability in the North Atlantic: A Multimodel-Ensemble Study

    Matthew Collins;M. Botzet;A. F. Carril;H. Drange

  • Estimating the decadal predictability of a coupled AOGCM

    Holger Pohlmann;Michael Botzet;Mojib Latif;Andreas Roesch

  • A comparison of full-field and anomaly initialization for seasonal to decadal climate prediction

    Doug M. Smith;Rosie Eade;Holger Pohlmann

  • A Review of Predictability Studies of Atlantic Sector Climate on Decadal Time Scales

    Mojib Latif;M. Collins;Holger Pohlmann;Noel Keenlyside

  • Predictability of the quasi‐biennial oscillation and its northern winter teleconnection on seasonal to decadal timescales

    Adam A. Scaife;Maria Athanassiadou;Martin Andrews;Alberto Arribas

  • Two tales of initializing decadal climate predictions experiments with the ECHAM5/MPI-OM model

    D. Matei;H. Pohlmann;J. Jungclaus;W. Mueller

  • Real-time multi-model decadal climate predictions

    Doug M. Smith;Adam A. Scaife;George J. Boer;Mihaela Caian

  • Multi‐year predictability of the tropical Atlantic atmosphere driven by the high latitude North Atlantic Ocean

    N. J. Dunstone;D. M. Smith;R. Eade

  • MiKlip - a National Research Project on Decadal Climate Prediction

    Jochem Marotzke;Wolfgang A. Müller;Freja S. E. Vamborg;Paul Becker

  • WMO Global Annual to Decadal Climate Update: A Prediction for 2021–25

    Unknown

  • Improved forecast skill in the tropics in the new MiKlip decadal climate predictions

    H. Pohlmann;W. A. Müller;K. Kulkarni;M. Kameswarrao

  • Forecast skill of multi-year seasonal means in the decadal prediction system of the Max Planck Institute for Meteorology

    W. A. Müller;J. Baehr;H. Haak;J. H. Jungclaus

  • CMIP6.CMIP.MPI-M.MPI-ESM1-2-HR.historical

    Johann Jungclaus;Matthias Bittner;Karl-Hermann Wieners;Fabian Wachsmann

  • Towards Prediction of Decadal Climate Variability and Change

    J. Murphy;V. Kattsov;N. Keenlyside;M. Kimoto

Frequent Co-Authors

Wolfgang A. Müller
Wolfgang A. Müller Max Planck Society
Jochem Marotzke
Jochem Marotzke Max Planck Society
Johanna Baehr
Johanna Baehr Universität Hamburg
Johann H. Jungclaus
Johann H. Jungclaus Max Planck Society
Doug Smith
Doug Smith Met Office
Adam A. Scaife
Adam A. Scaife Met Office
Hauke Schmidt
Hauke Schmidt Max Planck Society
Stefan Hagemann
Stefan Hagemann Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
Thorsten Mauritsen
Thorsten Mauritsen Stockholm University
Julia Pongratz
Julia Pongratz Ludwig-Maximilians-Universität München

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