Contact Information


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Fon: +49-40-41173-152

Fax: +49-40-41173-298

Mobile: +49-1515-6866710


Postal Address

Max Planck Institute for Meteorology

The Ocean in the Erath System

Room 209

Bundesstr. 53

D-20146 Hamburg




Deutscher Wetterdienst

Climate and Environment

Room 303

Bernhard-Nocht-Str. 76

D-20359 Hamburg









Current Projects


          Innovation Programme for applied researches and developments (DWD)


          Role of the Middle Atmosphere in Climate (BMBF)


          Grand Challenge on Near-Term Climate Prediction (WCRP)


          Quasi-Biennial Oscillation initiative (SPARC)


          Stratosphere und Climate (MPI-Met)

Refereed publications


  • Dai, Y., E. Manzini, H. Pohlmann, W. Müller, D. Matei, 2020: Predictability of the rapid warming of the North Pacific ocean around 1990: potential attributions and impacts. GRL
  • Fröhlich, K., M. Dobrynin, K. Isensee, C. Gessner, A. Paxian, H. Pohlmann, H. Haak, S. Brune, B. Früh, J. Baehr, 2020: The German climate forecast system: GCFS. JAMES, doi:10.1002/essoar10502538.1
  • Stockdale, T. N., Y.-H. Kim, J. A. Anstey, F. Palmeiro, N. Butchart, A. A. Scaife, M. Andrews, A. C. Bushell, M. Dobrynin, J. Garcia-Serrano, K. Hamilton, Y. Kawatani, F. Lott, C. McLandress, H. Naoe, S. Osprey, H. Pohlmann, J. Scinocca, S. Watanabe, K. Yoshida and S. Yukimoto, 2019: Prediction of the quasi-biennial oscillation with a multi-model ensemble of QBO-resolving models. QJRMS


  • Hermanson, L.,  R. Bilbao, N. Dunstone, M. Menegoz, P. Ortega, H. Pohlmann, J. Robson, D. Smith, W. Strand, C. Timmreck, S. Yeager, G. Danabasoglu, 2020: Robust multi-year climate impacts of volcanic eruptions in decadal prediction systems. JGR Atmospheres, 125, e2019JD031739. doi:10.1029/2019JD031739
  • Smith, D. M., A. A. Scaife, R. Eade, P. Athanasiadis, A. Bellucci, I. Bethke, R. Bilbao, L. F. Borchert, L.-P. Caron, F. Counillon, G. Danabasoglu, T. Delworth, F. J. Doblas-Reyes, N. J. Dunstone, V. Estella-Perez, S. Flavoni, L. Hermanson, N. Keenlyside, V. Kahrin, M. Kimoto, W. J. Merryfield, J. Mignot, T. Mochizuki, K. Modali, P.-A. Monerie, W. A. Müller, D. Nicoli, P. Ortega, K. Pankatz, H. Pohlmann, J. Robson, P. Ruggieri, R. Sospedra-Alfonso, D. Swingedouw, Y. Wang, S. Wild, S. Yeager, X. Yang, L. Zhang, 2020: North Atlantic climate far more predictable than models imply. Nature, 583, 796-800. doi:10.1038/s41586-020-2525-0


  • Borchert, L. F., H. Pohlmann, J. Baehr, N.-C. Neddermann, L. Suarez-Gutierrez, W. A. Müller, 2019: Decadal predictions of the probability of occurrence for warm summer temperature extremes. Geophys. Res. Lett., 46, 14042-14051. doi:10.1029/2019GL085385
  • Feldmann, H., J. G. Pinto, N. Laube, M. Uhlig, J. Momken,A. Pasternack, B. Früh, H. Pohlmann, C. Kottmeier, 2019: Skill and added value of the Miklip regional decadal prediction system for temperature over Europe. Tellus A: Dynamic Meteorology and Oceanography, 71, 1-19, doi:10.1080/16000870.2019.1618678
  • Mauritsen, T., J. Bader, T. Becker, J. Behrens, M. Bittner, R. Brokopf, V. Brovkin, M. Claussen, T. Crueger, M. Esch, I. Fast, S. Fiedler, D. Fläschner, V. Gayler, M. Giorgetta, D. S. Goll, H. Haak, S. Hagemann, C. Hedemann, C. Hohenegger, T. Ilyina, T. Jahns, D. J. de la Cuesta Otero, J. Jungclaus, T. Kleinen, S. Kloster, D. Kracher, S. Kinne, D. Kleberg, G. Lasslop, L. Kornblueh, J. Marotzke, D. Matei, K. Meraner, U. Mikolajewicz, K. Modali, B. Möbis, W. A. Müller, J. E. M. S. Nabel, C. C. W. Nam, D. Notz, S.-S. Nyawira, H. Paulsen, K. Peters, R. Pincus, H. Pohlmann, J. Pongratz, M. Popp, T. Raddatz, S. Rast, R. Redler, C. Reick, T. Rohrschneider, V. Schemann, H. Schmidt, R. Schnur, U. Schulzweida, K. D. Six, L. Stein, I. Stemmler, B Stevens, J.-S. von Storch, F. Tian, A. Voigt, P. de Vrese, K.-H. Wieners, S. Wilkenskjeld, A. Winkler and E. Roeckner, 2019: Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and its response to increasing CO2. JAMES, 11, 998-1038, doi:10.1029/2018MS001400
  • Paeth, H., J. Li, F. Pollinger, W. A. Müller, H. Pohlmann, H. Feldmann, H.-J. Panitz, 2018: An effective drift correction for dynamical downscaling of decadal global climate predictions. Clim. Dyn., 52, 1343-1357. doi:10.1007/s00382-018-4195-2
  • Paxian, A., M. Ziese, F. Kreienkamp, K. Pankatz, S. Brand, A. Pasternack, H. Pohlmann, K. Modali, and B. Früh, 2018: User-oriented global predictions of the GPCC drought index for the next decade. Met. Zeitschrift, 28, 3-21. doi:10.1127/metz/2018/0912
  • Pohlmann, H., W. A. Müller, M. Bittner, S. Hettrich, K. Modali, K. Pankatz, J. Marotzke, 2019: Realistic quasi-biennial oscillation variability in historical and decadal hindcast simulations using CMIP6 forcing. Geophys. Res. Lett., 46, 14118-14125 doi:10.1029/2019GL084878
  • Schuster , M., J. Grieger, A. Richling, T. Schartner, S. Illing, C. Kadow, W. A. Müller, H. Pohlmann, S. Pfahl, and U. Ulbrich, 2019: Improvement in the decadal prediction skill of the northern hemisphere extra-tropical winter circulation through increased model resolution. Earth System Dynamics, 10, 901-917, doi:10.5194/esd-2019-18
  • Smith, D. M., R. Eade, A. A. Scaife, L.-P. Caron, T. M. DelSole, T. Delworth, F. J. Doblas-Reyes, N. J. Dunstone, L. Hermanson, V. Kharin, M. Kimoto, W. J. Merryfield, T. Mochizuki, W. A. Müller, H. Pohlmann, S. Yeager and X. Yang, 2019: Robust skill of decadal climate predictions. Climate and Atmospheric Science, 2, 13. doi:10.1038/s41612-019-0071-y


  • Brune, S., A. Düsterhus, H. Pohlmann, W. A. Müller, J. Baehr, 2018: Time dependency of the prediction skill for the North Atlantic subpolar gyre in initialized decadal hindcasts. Clim. Dyn., 51, 1947-1970. doi:10.1007/s00382-017-3991-4
  • Bunzel, F., W. A. Müller, T. Stacke, S. Hagemann, M. Dobrynin, J. Baehr, K. Fröhlich, H. Pohlmann, 2018: Improved seasonal prediction of European summer temperatures with new 5-layer soil-hydrology scheme. Geophys. Res. Lett., 45, 346-353. doi:10.1002/2017GL076204
  • Butchart, N., J. A. Anstey, K. Hamilton, S. Osprey, C. McLandress, A. C. Bushell, Y. Kawatani, Y.-H. Kim, F. Lott, J. Scinocca, T. N. Stockdale, M. Andrews, O. Bellprat, P. Braesicke, C. Cagnazzo, C.-C. Chen, H.-Y. Chun, M. Dobrynin, R. R. Garcia, J. Garcia-Serrano, L. J. Gray, L. Holt, T. Kerzenmacher, H. Naoe, H. Pohlmann, J. H. Richter, A. A. Scaife, V. Schenzinger, F. Serva, S. Versick, S. Watanabe, K. Yoshida, and S. Yukimoto, 2018: Overview of experiment design and comparison of models participating in phase 1 of the SPARC Quasi-Biennial Oscillation initiative (QBOi), Geosci. Model Dev., 11, 1009-1032, doi:10.5194/gmd-2017-18
  • Dobrynin, M., D. I. V. Domeisen, W. A. Müller, L. Bell, S. Brune, F. Bunzel, A. Düsterhus, K. Fröhlich, H. Pohlmann, J. Baehr, 2018: Improved teleconnection-based dynamical seasonal predictions of boreal winter. Geophys. Res. Lett., 45, 3605-3614. doi:10.1002/2018GL077029
  • Illing, S., C. Kadow, H. Pohlmann, C. Timmreck, 2018: Assessing the Impact of a Future Volcanic Eruption on Decadal Predictions. Earth Syst. Dynam., 9, 701-715, doi:10.5194/esd-9-701-2018
  • Kröger, J., H. Pohlmann, F. Sienz, J. Marotzke, J. Baehr, A. Köhl, K. Modali, I. Polkova, D. Stammer, F. S. E. Vamborg, W. A. Müller, 2018: Full-field initialized decadal predictions with the MPI earth system model: an initial shock in the North Atlantic. Clim. Dyn., 51, 2593-2608. doi:10.1007/s00382-017-4030-1
  • Müller, W. A., J. H. Jungclaus, T. Mauritzen, J. Baehr, M. Bittner, R. Budich, F. Bunzel, M. Esch, R. Ghosh, H. Haak, T. Ilyina, T. Kleine, L. Kornblueh, H. Li, K. Modali, D. Notz, H. Pohlmann, E. Roeckner, I. Stemmler, F. Tian, J. Marotzke, 2018: A higher-resolved version of the Max Planck Institute Earth System Model (MPI-ESM1.2-HR). JAMES, 10, 1383–1413, doi:10.1029/2017MS001217
  • Smith, D. M., A. A. Scaife, E. Hawkins, R. Bilbao, G. J. Boer, M. Caian, L.-P. Caron, G. Danabasoglu, T. Delworth, F. J. Doblas-Reyes, R. Doescher, N. J. Dunstone, R. Eade, L. Hermanson, M. Ishii, V. Kharin, M. Kimoto, T. Koenigk, Y. Kushnir, D. Matei, G. A. Meehl, M. Menegoz, W. J. Merryfield, T. Mochizuki, W. A. Müller, H. Pohlmann, S. Power, M. Rixen, R. Sospedra-Alfonso, M. Tuma, K. Wyser, X. Yang and S. Yeager, 2018: Predicted chance that global warming will temporarily exceed 1.5ºC. Geophys. Res. Lett., 45, 11895-11903, doi:10.1029/2018GL079362


  • Müller, V., H. Pohlmann, A. Düsterhus, D. Matei, J. Marotzke, W. A. Müller, M. Zeller, J. Baehr, 2017: Hindcast skill for the Atlantic meridional overturning circulation at 26.5°N within two MPI-ESM decadal climate prediction systems. Clim. Dyn., 49, 2975-2990. doi:10.1007/s00382-016-3482-z
  • Pohlmann, H., J. Kröger, R. J. Greatbatch, W. A. Müller, 2017: Initialization shock in decadal hindcasts due to errors in wind stress over the tropical Pacific. Clim. Dyn., 49, 2685-2693. doi:10.1007/s00382-016-3486-8


  • Kadow, C., S. Illing, O. Kunst, H. W. Rust, H. Pohlmann, W. A. Müller and U. Cubasch, 2016: Evaluation of forecasts by accuracy and spread in the MiKlip decadal climate prediction system. Met. Zeitschrift, 25, 631-643. doi:10.1127/metz/2015/0639
  • Kruschke, T., H. W. Rust, C. Kadow, W. A. Müller, H. Pohlmann, G. C. Leckebusch, U. Ulbrich, 2016: Probabilistic evaluation of decadal prediction skill regarding Northern Hemisphere winter storms. Met. Zeitschrift, 25, 721-738. doi:10.1127/metz/2015/0641
  • Marotzke, J., W. A. Müller, F. S. E. Vamborg, P. Becker, U. Cubasch, H. Feldmann, F. Kaspar, C. Kottmeier, C. Marini, I. Polkova, K. Prömmel, H. W. Rust, D. Stammer, U. Ulbrich,C. Kadow, A. Köhl, J. Kröger, T. Kruschke, J. G. Pinto, H. Pohlmann, M. Reyers, M Schröder, F. Sienz, C. Timmreck, M. Ziese, 2016: MiKlip - a National Research Project on Decadal Climate Prediction. Bull. Amer. Meteor. Soc., 97, 2379-2394. doi:10.1175/BAMS-D-15-00184.1
  • Mohino, E., N. Keenlyside., H. Pohlmann, 2016: Decadal prediction of Sahel rainfall: where does the skill (or lack thereof) come from? Clim. Dyn., 47, 3593-3612. doi:10.1007/s00382-016-3416-9
  • Pattatanús-Ábrahám, M., C. Kadow, S. Illing,W. A. Müller, H. Pohlmann, W. Steinbrecht, 2016: Bias and drift of the mid-range decadal climate prediction system (MiKlip) validated by European radiosonde data. Met Zeitschrift, 25, 709-720. doi:10.1127/metz/2016/0803
  • Sienz, F., W. A. Müller, H. Pohlmann, 2016: Ensemble size impact on the decadal predictive skill assessment. Met. Zeitschrift, 25, 645-655. doi:10.1127/metz/2016/0670
  • Timmreck, C., H. Pohlmann, S. Illing, C. Kadow, 2016: The impact of stratospheric volcanic aerosol on decadal-scale climate predictions. Geophys. Res. Lett., 43, 834-842. doi:10.1002/2015GL067431


  • Baehr, J., K. Fröhlich, M. Botzet, D. I. V. Domeisen, L. Kornblueh, D. Notz, R. Piontek, H. Pohlmann, S. Tietsche, W. A. Müller, 2015: The prediction of surface temperature in the new seasonal prediction system based on the MPI-ESM coupled climate model. Clim. Dyn., 44, 2723-2735. doi:10.1007/s00382-014-2399-7
  • Bellucci, A., R. Haarsma, S. Gualdi, P. J. Athanasiadis, M. Caian, C. Cassou, E. Fernandez, A. Germe, J. Jungclaus, J. Kröger, D. Matei, W. Müller, H. Pohlmann, D. Salas y Melia, E. Sanchez, D. Smith, L. Terray, K. Wyser, S. Yang, 2015: An assessment of a multi-model ensemble of decadal climate predictions. Clim. Dyn., 44, 2787-2806. doi:10.1007/s00382-014-2164-y
  • Corti, S., T. Palmer, M. Balmaseda, A. Weisheimer, S. Drijfhout, N. Dunstone, W. Hazeleger, J. Kröger, H. Pohlmann, D. Smith, J.-S. von Storch, B. Wouters, 2015: Impact of initial conditions versus external forcing in decadal climate predictions: A sensitivity experiment. J. Climate, 28, 4454-4470. doi:10.1175/JCLI-D-14-00671.1


  • Meehl, G. A., L. Goddard, G. Boer, R. Burgman, G. Branstator, C. Cassou, S. Corti, G. Danabasoglu, F. Doblas-Reyes, E. Hawkins, A. Karspeck, M. Kimoto, A. Kumar, D. Matei, J. Mignot, R. Msadek, A. Navarra, H. Pohlmann, M. Rienecker, T. Rosati, E. Schneider, D. Smith, R. Sutton, H. Teng, G. J. van Oldenborgh, G. Vecchi, S. Yeager, 2014: Decadal climate prediction: An update from the trenches. Bull. Amer. Meteor. Soc., 95, 243-267. doi:10.1175/BAMS-D-12-00241.1
  • Müller, W. A., H. Pohlmann, F. Sienz, D. Smith, 2014: Decadal climate predictions for the period 1901-2010 with a coupled climate model. Geophys. Res. Lett., 41, 2100-2107. doi:10.1002/2014GL059259
  • Scaife, A. A., M. Athanassiadou, M. Andrews, A. Arribas, M. Baldwin, N. Dunstone, J. Knight, C. MacLachlan, E. Manzini, W. A. Müller, H. Pohlmann, D. Smith., T. Stockdale, A. Williams, 2014: Predictability of the quasi-biennial oscillation and its northern winter teleconnection on seasonal to decadal timescales. Geophys. Res. Lett., 41, 1752-1758. doi:10.1002/2013GL059160
  • Smith, D. M., N. J. Dunstone, R. Eade, D. Fereday, L. Hermanson, J. M. Murphy, H. Pohlmann, N. Robinson, A. A. Scaife, 2014: Comments on “Multi-year Predictions of North Atlantic Hurricane Frequency: Promise and limitations.” J. Climate, 27, 487-489. doi:10.1175/JCLI-D-13-00220.1


  • Hazeleger, W., B. Wouters, G. J. van Oldenborgh, S. Corti, T. Palmer, D. Smith, N. Dunstone, J. Kröger, H. Pohlmann, J.-S. von Storch, 2013: Predicting multi-year North Atlantic Ocean variability. J. Geophys. Res. Oceans, 118, 1087-1098. doi:10.1002/jgrc.20117
  • Pohlmann, H., W. A. Müller, K. Kulkarni, M. Kameswarrao, D. Matei, F. S. E. Vamborg, C. Kadow, S. Illing, J. Marotzke, 2013: Improved forecast skill in the tropics in the new MiKlip decadal climate predictions. Geophys. Res. Lett., 40, 5798-5802. doi:10.1002/2013GL058051
  • Pohlmann, H., D. M. Smith, M. A. Balmaseda, N. S. Keenlyside, S. Masina, D. Matei, W. A. Müller, P. Rogel, 2013: Predictability of the mid-latitude Atlantic meridional overturning circulation in a multi-model system. Clim. Dyn., 41, 775-785. doi:10.1007/s00382-013-1663-6
  • Smith, D. M., R. Eade, H. Pohlmann, 2013: A comparison of anomaly and full field initialization for seasonal to decadal climate prediction. Clim Dyn., 41, 3325-3338. doi:10.1007/s00382-013-1683-2
  • Smith, D. M., A. A. Scaife, G. J. Boer, M. Caian, F. J. Doblas-Reyes, V. Guemas, E. Hawkins, W. Hazeleger, L. Hermanson, C. K. Ho, M. Ishii, V. Kharin, M. Kimoto, B. Kirtman, J. Lean, D. Matei, W. A. Müller, H. Pohlmann, A. Rosati, B. Wouters, K. Wyser, 2013: Real-time multi-model decadal predictions. Clim. Dyn, 41, 2875-2888. doi:10.1007/s00382-1600-0


  • Matei, D., H. Pohlmann, J. Jungclaus, W. Müller, H. Haak, J. Marotzke, 2012: Two tales of initializing decadal climate prediction experiments with the ECHAM5/MPI-OM model. J. Climate, 25, 8502-8523. doi:10.1175/JCLI-D-11-00633.1
  • Müller, W. A., J. Baehr, H. Haak, J. H. Jungclaus, J. Kröger, D. Matei, D. Notz, H. Pohlmann,  J.-S. von Storch, J. Marotzke, 2012: Forecast skill of multi-year seasonal means in the decadal prediction system of the Max Planck Institute for Meteorology. Geophys. Res. Lett., 39, L22707. doi:10.1029/2012GL053326


  • Hawkins, E., R. S. Smith, L. C. Allison, J. M. Gregory, T. J. Woolings, H. Pohlmann, B. de Cuevas, 2011: Bistability of the Atlantic overturning circulation in a global climate model and links to ocean freshwater transport. Geophys. Res. Lett., 38, L10605. doi:10.1029/2011GL047208
  • Hawkins, E., R. S. Smith, L. C. Allison, J. M. Gregory, T. J. Woolings, H. Pohlmann, B. de Cuevas, 2011: Correction to "Bistability of the Atlantic overturning circulation in a global climate model and links to ocean freshwater transport". Geophys. Res. Lett., 38, L16699. doi:10.1029/2011GL048997


  • Hurrell, J. W., T. Delworth, G. Danabasoglu, H. Drange, K. Drinkwater, S. Griffies, N. Holbrook, B. Kirtman, N. Keenlyside, M. Latif, J. Marotzke, J. Murphy, G. A. Meehl, T. Palmer, H. Pohlmann, T. Rosati, R. Seager, D. Smith, R. Sutton, A. Timmermann, K. E. Trenberth, J. Tribbia, M. Visbeck, 2010: "Decadal Climate Prediction: Opportunities And Challenges" in Proceedings of OceanObs’09: Sustained Ocean Observations and Information for Society (Vol. 2), Venice, Italy, 21-25 September 2009, J. Hall, D. E. Harrison, and D. Stammer, Eds., ESA Publication WPP-306. doi:10.5270/OceanObs09.cwp.45
  • Matei, D., H. Pohlmann, W. Müller, H. Haak, J. Jungclaus, J. Marotzke, 2010: "Quantifying the role of ocean initial conditions in decadal prediction" in Proceedings of OceanObs’09: Sustained Ocean Observations and Information for Society (Annex), Venice, Italy, 21-25 September 2009, J. Hall, D. E. Harrison, and D. Stammer, Eds., ESA Publication WPP-306. doi:10.5270/OceanObs09
  • Smith, D. M., R. Eade, N. J. Dunstone, D. Fereday, J. M. Murphy, H. Pohlmann, A. Scaife, 2010: Skilful multi-year predictions of Atlantic hurricane frequency. Nat. Geosci., 3, 846-849. doi:10.1038/ngeo1004


  • Pohlmann, H., J. H. Jungclaus, A. Köhl, D. Stammer, J. Marotzke, 2009: Initializing decadal climate predictions with the GECCO oceanic synthesis: Effects on the North Atlantic. J. Climate, 22, 3926-3938. doi:10.1175/2009JCLI2535.1


  • Latif, M., C. W. Böning, J. Willebrand, A. Biastoch, F. Alvarez-Garcia, N. Keenlyside, H. Pohlmann, 2007: Decadal to multidecadal variability of the Atlantic MOC: mechanisms and predictability. AGU Geophysical Monograph 173 "Ocean Circulation: Mechanisms and Impacts - Past and Future Changes of Meridional Overturning", A. Schmittner, J. Chiang, and S. Hemming (Eds.), American Geophysical Union, Washington DC, 149-166. ISBN: 978-0-87590-438-2


  • Collins, M., M. Botzet, A. Carril, H. Drange, A. Jouzeau, M. Latif, O. H. Otteraa, H. Pohlmann, A. Sorteberg, R. Sutton, L. Terray, 2006: Interannual to decadal climate predictability: A multimodel-ensemble study. J. Climate, 19, 1195-1203. doi:10.1175/JCLI3654.1
  • Latif, M., M. Collins, H. Pohlmann, N. Keenlyside, 2006: A review of predictability studies of Atlantic sector climate on decadal time scales. J. Climate, 19, 5971-5987. doi:10.1175/JCLI3945.1
  • Latif, M., H. Pohlmann, W. Park, 2006: Predictability of the North Atlantic thermohaline circulation. In "Predictability of Weather and Climate", T. N. Palmer and R. Hagedorn (Eds.), Cambridge University Press, 343-364
  • Pohlmann, H., R. J. Greatbatch, 2006: Discontinuities in the late 1960's in different atmospheric data products. Geophys. Res. Lett., 33, L22803. doi:10.1029/2006GL027644
  • Pohlmann, H., F. Sienz, M. Latif, 2006: Influence of the multidecadal Atlantic meridional overturning circulation variability on European climate. J. Climate, 19, 6062-6067. doi:10.1175/JCLI3941.1


  • Pohlmann, H., M. Latif, 2005: Atlantic versus Indo-Pacific influence on Atlantic-European climate. Geophys. Res. Lett., 32, L05707. doi:10.1029/2004GL021316


  • Pohlmann, H., M. Botzet, M. Latif, A. Roesch, M. Wild, P. Tschuck, 2004: Estimating the decadal predictability of a coupled AOGCM. J. Climate, 17, 4463-4472. doi:10.1175/3209.1
  • Rodwell, M. J., M. Drévillon, C. Frankignoul, J. W. Hurrell, H. Pohlmann, M. Stendel, R. T. Sutton, 2004: North Atlantic forcing of climate and its uncertainty from a multi-model experiment. Quart. J. Roy. Meteor. Society, 130, 2013-2032. doi:10.1256/qj.03.207


Other publications


  • Böttinger, M., H. Pohlmann, N. Röber, K. Meier-Fleischer, D. Spickermann, 2015: Visualization of 2D uncertainty in decadal climate prediction. In "Workshop on Visualisation in Environmental Sciences (EnvirVis)", A. Middel, K. Rink and G. H. Weber (Eds.), The Eurographics Association. doi:10.2312/envirvis.20151083


  • Bellucci, A., R. Haarsma, S. Gualdi, P. Athanasiadis, M. Caian, C. Cassou, A. Germe, J. Jungclaus, J. Kröger, D. Matei, W. Müller, H. Pohlmann, D. Salas y Melia, E. Sanchez, D. Smith, L. Terray, K. Wyser, 2012: An assessment of a multi-model ensemble of decadal climate predictions performed within the framework of the COMBINE project. COMBINE Technical Report No. 2


  • Doblas-Reyes, F. J., G. J. van Oldenborgh, J. Garcia-Serrano, H. Pohlmann, A. A. Scaife, D. Smith, 2011: CMIP5 near-term climate predictions. CLIVAR Exchanges, 56, 8-11


  • Brander, K. M., U. Daewel, K. F. Drinkwater, G. Engelhard, A. Flin, M. Lindgren, B. R. MacKenzie, I. Mantzouni, P. Munk, G. Ottersen, H. Pohlmann, B. Rothschild, C. Schrum, J. E. Stiansen, S. Sundby, K. U. Wieland, 2010: Cod and future climate change. ICES Cooperative Research Report, 305, 88pp. ISBN: 978-87-7482-084-0
  • Murphy, J., V. Kattsov, N. Keenlyside, M. Kimoto, G. Meehl, V. Mehta, H. Pohlmann, A. Scaife, D. Smith, 2010: Towards Prediction of Decadal Climate Variability and Change. Procedia Environmental Sciences, 1, 287-304, ISSN 1878-0296. doi:10.1016/j.proenv.2010.09.018


  • Latif, M., M. Collins, R. J. Stouffer, H. Pohlmann, N. Keenlyside, 2004: The physical basis for prediction of Atlantic sector climate on decadal time scales. CLIVAR Exchanges, 31, 6-8
  • Pohlmann, H., N. Keenlyside, 2004: Review: Decadal-multidecadal climate predictability. Students Contest of the CRCES-IPRC Workshop on Decadal Climate Variability, Hawaii, USA


  • Collins, M., A. Carril, H. Drange, H. Pohlmann, R. Sutton, L. Terray, 2003: North Atlantic decadal predictability. CLIVAR Exchanges, 28, 6-7


  • Latif, M., E. Roeckner, M. Botzet, M. Esch, H. Haak, S. Hagemann, J. Jungclaus, S. Legutke, H. Pohlmann, S. Marsland, U. Mikolajewicz, 2002: Predictability of the North Atlantic thermohaline circulation. Proceedings of the ECMWF Seminar on Predictability of Weather and Climate, 265-273


  • Pohlmann, H., M. Harder, T. Martin, P. Lemke, 2000: Comparison of two sea ice simulations forced with ECMWF and NCEP/NCAR re-analyses data. Proceedings of the Second WCRP International Conference on Reanalyses, 229-232, WCRP-109, WMO/TD-NO 985


Curriculum vitae


Research Experience

since 2019Deutscher Wetterdienst, Hamburg, Germany
since 2011Max Planck Institute for Meteorology, Hamburg, Germany
2007 - 2011Met Office Hadley Centre, Exeter, UK
2006 - 2007Max Planck Institute for Meteorology, Hamburg, Germany
2005 - 2006Institute of Oceanography, Dalhousie University, Halifax, Canada                       




2000 - 2005Max Planck Institute for Meteorology, Hamburg, Germany
2005Ph.D. in Natural Sciences, Hamburg University, Germany                                 



1993 - 2000Meteorology, Kiel University, Germany
2000Diploma in Meteorology, Kiel University, Germany                                           


Past Projects

MiKlipMedium-term Climate Prediction (BMBF)
SPECSSeasonal to Decadal Climate Prediction for the Improvement of European Climate Services (EU FP7)
ENSEMBLESEnsembles-Based Predictions of Climate Changes and their Impact (EU FP7) 
COMBINEComprehensive Modelling of the Earth System for Better Climate Prediction and Projection (EU FP7) 
THORThermohaline Overturning Circulation at Risk? (EU FP7) 
NordatlantikDer Nordatlantik als Teil des Erdsystems (BMBF) 
Canadian CLIVARCanadian CLIVAR Research Network 
PREDICATEMechanism and Predictability of Decadal Fluctuations in Atlantic-European Climate (EU) 
DEKLIMDeutsches Klimaforschungsprogramm (BMBF) 
SEALIONSea Ice in the Antarctic linked with Ocean-Atmosphere Forcing (EU)