• Kröger, J., Pohlmann, H., Sienz, F., Marotzke, J., Baehr, J., Köhl, A., Modali, K., Polkova, I., Stammer, D., Vamborg, F. & Müller, W. (submitted). Full-field initialized decadal predictions with the MPI Earth System Model: An initial shock in the North Atlantic.
  • Ardilouze, C., Batté, L., Bunzel, F., Decremer, D., Déqué, M., Doblas-Reyes, F., Douville, H., Fereday, D., Guemas, V., MacLachlan, C., Müller, W. & Prodhomme, C. (2017). Multi-model assessment of the impact of soil moisture initialization on mid-latitude summer predictability. Climate Dynamics, available online- , doi:10.1007/s00382-017-3555-7
  • Ghosh, R., Müller, W. & Baehr, J. (2017). Impact of the multidecadal variations in the North Atlantic Sea Surface Temperature on European summer climate.Hamburg: Universität Hamburg Berichte zur Erdsystemforschung, 189 , doi:10.17617/2.2391979 [Fulltext]
  • Müller, V., Pohlmann, H., Matei, D., Marotzke, J., Müller, W. & Baehr, J. (2016). Hindkast skill for the Atlantik meridional overturning circulation at 26.5° N within two MPI-ESM decadal climate prediction systems. Climate Dynamics, available online- , doi:10.1007/s00382-016-3482-z
  • Mohino, E., Keenlyside, N. & Pohlmann, H. (2016). Decadal prediction of Sahel rainfall: where does the skill (or lack thereof) come from?. Climate Dynamics, 47, 3593-3612 , doi:10.1007/s00382-016-3416-9
  • Sienz, F., Müller, W. & Pohlmann, H. (2016). Ensemble size impact on the decadal predictive skill assessment. Meteorologische Zeitschrift, 25, 645-655 , doi:10.1127/metz/2016/0670 [Fulltext]
  • Kadow, C., Illing, S., Kunst, O., Rust, H., Pohlmann, H., Müller, W. & Cubasch, U. (2016). Evaluation of forecasts by accuracy and spread in the MiKlip decadal climate prediction system. Meteorologische Zeitschrift, 25, 631-643 , doi:10.1127/metz/2015/0639 [Fulltext]
  • Pattantyús-Ábrahám, M., Kadow, C., Illing, S., Müller, W., Pohlmann, H. & Steinbrecht, W. (2016). Bias and drift of the mid-range decadal climate prediction system (MiKlip) validated by European radiosonde data. Meteorologische Zeitschrift, 25, 709-720 , doi:10.1127/metz/2016/0803 [Fulltext]
  • Pohlmann, H., Kröger, J., Greatbatch, R. & Müller, W. (2016). Initialization shock in decadal hindcasts due to errors in wind stress over the tropical Pacific. Climate Dynamics, available online- , doi:10.1007/s00382-016-3486-8 [Fulltext]
  • Marotzke, J., Müller, W., Vamborg, F., Becker, P., Cubasch, U., Feldmann, H., Kaspar, F., Kottmeier, C., Marini, C., Polkova, I., Prömmel, K., Rust, H., Stammer, D., Ulbrich, U., Kadow, C., Köhl, A., Kröger, J., Kruschke, T., Pinto, J., Pohlmann, H., Reyers, M., Schröder, M., Sienz, F., Timmreck, C. & Ziese, M. (2016). MiKlip - a National Research Project on Decadal Climate Prediction. Bulletin of the American Meteorological Society, 97, 2379-2394 , doi:10.1175/BAMS-D-15-00184.1 [Fulltext]
  • Boer, G., Smith, D., Cassou, C., Doblas-Reyes, F., Danabasoglu, G., Kirtman, B., Kushnir, Y., Kimoto, M., Meehl, G., Msadek, R., Müller, W., Taylor, K., Zwiers, F., Rixen, M., Ruprich-Robert, Y. & Eade, R. (2016). The Decadal Climate Prediction Project (DCPP) contribution to CMIP6. Geoscientific Model Development, 9, 3751-3777 , doi:10.5194/gmd-9-3751-2016 [Fulltext]
  • Ghosh, R., Chakraborty, A. & Nanjundiah, R. (2016). Relative role of pre-monsoon conditions and intraseasonal oscillations in determining early-vs-late indian monsoon intensity in a GCM. Theoretical and Applied Climatology, available online- , doi:10.1007/s00704-016-1970-z [Fulltext]
  • Bittner, M., Schmidt, H., Timmreck, C. & Sienz, F. (2016). Using a large ensemble of simulations to assess the Northern Hemisphere stratospheric dynamical response to tropical volcanic eruptions and its uncertainty. Geophysical Research Letters, 43, 9324-9332 , doi:10.1002/2016GL070587
  • Ghosh, R., Müller, W., Baehr, J. & Bader, J. (2016). Impact of observed North Atlantic multidecadal variations to European summer climate: a linear baroclinic response to surface heating. Climate Dynamics, available online- , doi:10.1007/s00382-016-3283-4 [Fulltext]
  • Butler, A., Arribas, A., Athanassiadou, M., Baehr, J., Calvo, N., Charlton-Perez, A., Déqué, M., Domeisen, D., Fröhlich, K., Hendon, H., Imada, Y., Ishii, M., Iza, M., Karpechko, A., Kumar, A., Maclachlan, C., Merryfield, W., Müller, W., O'Neill, A., Scaife, A., Scinocca, J., Sigmond, M., Stockdale, T. & Yasuda, T. (2016). The Climate-system Historical Forecast Project: Do stratosphere-resolving models make better seasonal climate predictions in boreal winter?. Quarterly Journal of the Royal Meteorological Society, 142, 1413-1427 , doi:10.1002/qj.2743 [Fulltext]
  • Li, H., Ilyina, T., Müller, W. & Sienz, F. (2016). Decadal predictions of the North Atlantic CO2 uptake. Nature Communications, 7 , doi:10.1038/ncomms11076 [Fulltext] [Fulltext]
  • Timmreck, C., Pohlmann, H., Illing, S. & Kadow, C. (2016). The impact of stratospheric volcanic aerosol on decadal-scale climate predictions. Geophysical Research Letters, 43, 834-842 , doi:10.1002/2015GL067431
  • Bunzel, F., Notz, D., Baehr, J., Müller, W. & Fröhlich, K. (2016). Seasonal climate forecasts significantly affected by observational uncertainty of Arctic sea ice concentration. Geophysical Research Letters, 43, 852-859 , doi:10.1002/2015GL066928 [Fulltext] [Fulltext]
  • Kruschke, T., Rust, H., Kadow, C., Müller, W., Pohlmann, H., Leckebusch, G. & Ulbrich, U. (2016). Probabilistic evaluation of decadal prediction skill regarding Northern Hemisphere winter storms. Meteorologische Zeitschrift, 25, 721-738 , doi:10.1127/metz/2015/0641 [Fulltext]
  • Corti, S., Palmer, T., Balmaseda, M., Weisheimer, A., Drijfhout, S., Dunstone, N., Hazeleger, W., Kröger, J., Pohlmann, H., Smith, D., von Storch, J. & Wouters, B. (2015). Impact of initial conditions versus external forcing in decadal climate predictions: A sensitivity experiment. Journal of Climate, 28, 4454-4470 , doi:10.1175/JCLI-D-14-00671.1 [Fulltext]
  • Bellucci, A., Haarsma, R., Gualdi, S., Athanasiadis, P., Caian, M., Cassou, C., Fernandez, E., Germe, A., Jungclaus, J., Kröger, J., Matei, D., Mueller, W., Pohlmann, H., Salas y Melia, D., Sanchez, E., Smith, D., Terray, L., Wyser, K. & Yang, S. (2015). An assessment of a multi-model ensemble of decadal climate predictions. Climate Dynamics, 44, 2787-2806 , doi:10.1007/s00382-014-2164-y
  • Böttinger, M., Pohlmann, H., Röber, N., Meier-Fleischer, K. & Spickermann, D. (2015). Visualization of 2D uncertainty in decadal climate predictions. EuroVis Workshop on Visualization in Environmental Sciences (EnvirVis 2015) , doi:10.2312/envirvis.20151083
  • Baehr, J., Fröhlich , K., Botzet, M., Domeisen, D., Kornblueh, L., Notz, D., Piontek, R., Pohlmann, H., Tietsche, S. & Müller, W. (2015). The prediction of surface temperature in the new seasonal prediction system based on the MPI-ESM coupled climate model. Climate Dynamics, 44, 2723-2735 , doi:10.1007/s00382-014-2399-7
  • Domeisen, D., Butler, A., Fröhlich, K., Bittner, M., Mueller, W. & Baehr, J. (2015). Seasonal predictability over Europe arising from El Niño and stratospheric variability in the MPI-ESM seasonal prediction system. Journal of Climate, 28, 256-271 , doi:10.1175/JCLI-D-14-00207.1
  • Saeed, S., Van Lipzig, N., Mueller, W., Saeed, F. & Zanchettin, D. (2014). Influence of the circumglobal wave-train on European summer precipitation. Climate Dynamics, 43, 503-515 , doi:10.1007/s00382-013-1871-0
  • Mueller, W., Pohlmann, H., Sienz, F. & Smith , D. (2014). Decadal climate predictions for the period 1901-2010 with a coupled climate model. Geophysical Research Letters, 41, 2100-2107 , doi:10.1002/2014GL059259 [Fulltext]
  • Scaife, A., Athanassiadou, M., Andrews, M., Arribas, A., Baldwin, M., Dunstone, N., Knight, J., MacLachlan, C., Manzini, E., Mueller, W., Pohlmann, H., Smith, D., Stockdale, T. & Williams, A. (2014). Predictability of the quasi-biennial oscillation and its northern winter teleconnection on seasonal to decadal timescales. Geophysical Research Letters, 41, 1752-1758 , doi:10.1002/2013GL059160
  • Meehl, G., Goddard, L., Kirtman, B., Branstator, G., Danabasoglu, G., Hawkins, E., Kumar, A., Rosati, T., Smith, D., Sutton, R., Boer, G., Burgman, R., Carson, C., Corti, S., Karspeck, A., Keenlyside, N., Kimoto, M., Matei, D., Mignot, J., Msadek, R., Navarra, A., Pohlmann, H., Rienecker, M., Schneider, E., Tebaldi, C., Teng, H., van Oldenborgh, G., Vecchi, G. & Yeager, S. (2014). Decadal climate prediction: An update from the trenches. Bulletin of the American Meteorological Society, 95, 243-267 , doi:10.1175/BAMS-D-12-00241.1 [Fulltext]
  • Zanchettin, D., Bothe, O., Mueller, W., Bader, J. & Jungclaus, J. (2014). Different flavors of the Atlantic Multidecadal Variability. Climate Dynamics, 42, 381-399 , doi:10.1007/s00382-013-1669-0
  • Smith, D., Dunstone, N., Eade , R., Fereday, D., Murphy, J., Pohlmann, H. & Scaife, A. (2014). Comments on "Multiyear predictions of North Atlantic hurricane frequency: promise and limitations" . Journal of Climate, 27, 487-489 , doi:10.1175/JCLI-D-13-00220.1 [Fulltext]
  • Smith, D., Eade, R. & Pohlmann, H. (2013). A comparison of full-field and anomaly initialization for seasonal to decadal climate prediction. Climate Dynamics, 41, 3325-3338 , doi:10.1007/s00382-013-1683-2
  • Smith, D., Scaife, A., Boer, G., Caian, M., Dobles-Reyes, J., Guemas, V., Hawkins, E., Hazeleger, W., Hermansson, L., Ho, C., Ishii, M., Kharin, V., Kimoto, M., Kirtman, B., Lean, J., Matei, D., Merryfield, W., Mueller, W., Pohlmann, H., Rosati, A., Wouters, B. & Wyser, K. (2013). Real-time multi-model decadal climate predictions.
  • Pohlmann, H., Mueller, W., Kulkarni, K., Kameswarrao, M., Matei, D., Vamborg, F., Kadow, C., Illing, S. & Marotzke, J. (2013). Improved forecast skill in the tropics in the new MiKlip decadal climate predictions. Geophysical Research Letters, 40, 5798-5802 , doi:10.1002/2013GL058051 [Fulltext]
  • Giorgetta, M., Jungclaus, J., Reick, C., Legutke, S., Bader, J., Böttinger, M., Brovkin, V., Crueger, T., Esch, M., Fieg, K., Glushak, K., Gayler, V., Haak, H., Hollweg, H.-D., Ilyina, T., Kinne, S., Kornblueh, L., Matei, D., Mauritsen, T., Mikolajewicz, U., Mueller, W., Notz, D., Pithan, F., Raddatz, T., Rast, S., Redler, R., Roeckner, E., Schmidt, H., Schnur, R., Segschneider, J., Six, K., Stockhause, M., Timmreck, C., Wegner, J., Widmann, H., Wieners, K.-H., Claussen, M., Marotzke, J. & Stevens, B. (2013). Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the coupled model intercomparison project phase 5. Journal of Advances in Modeling Earth Systems, 5, 572-597 , doi:10.1002/jame.20038 [Fulltext]
  • Pohlmann, H., Smith, D., Balmaseda, M., Keenlyside, N., Masina, S., Matei, D., Müller, W. & Rogel, P. (2013). Predictability of the mid-latitude Atlantic meridional overturning circulation in a multi-model system .
  • Hazeleger, W., Wouters, B., van Oldenborgh, G., Corti, S., Smith, D., Dunstone, N., Kröger, J., Pohlmann, H. & von Storch, J.-S. (2013). Predicting multi-year North Atlantic ocean variability. Journal of Geophysical Research-Oceans, 118, 1087-1098 , doi:10.1002/jgrc.20117 [Fulltext]
  • Menary, M., Roberts, C., Palmer, M., Halloran, P., Jackson, L., Wood, R., Mueller, W., Matei, D. & Lee, S.-K. (2013). Mechanisms of aerosol-forced AMOC variability in a state of the art climate model. Journal of Geophysical Research: Oceans, 118, 2087-2096 , doi:10.1002/jgrc.20178
  • Müller, W., Baehr, J., Haak, H., Jungclaus, J., Kröger, J., Matei, D., Notz, D., Pohlmann, H., von Storch, J. & Marotzke, J. (2012). Forecast skill of multi-year seasonal means in the decadal prediction system of the Max Planck Institute for Meteorology. Geophysical Research Letters, 39 , doi:10.1029/2012GL053326 [Fulltext]
  • Kröger, J., Müller, W. & von Storch, J. (2012). Impact of different ocean reanalyses on decadal climate prediction. Climate Dynamics, 39, 795-810 , doi:10.1007/s00382-012-1310-7
  • Sienz, F., Bothe, O. & Fraedrich, K. (2012). Monitoring and quantifying future climate projections of dryness and wetness extremes: SPI bias. Hydrology and Earth System Sciences, 16, 2143-2157 , doi:10.5194/hess-16-2143-2012 [Fulltext] [Fulltext]
  • Matei, D., Baehr, J., Jungclaus, J., Haak, H., Mueller, W. & Marotzke, J. (2012). Multiyear Prediction of Monthly Mean Atlantic Meridional Overturning Circulation at 26.5 degrees N. Science, 335, 76-79 , doi:10.1126/science.1210299
  • Kröger, J., Pohlmann, H., Sienz, F., Marotzke, J., Baehr, J., Köhl, A., Modali, K., Polkova, I., Stammer, D., Vamborg, F. & Müller, W. (submitted). Full-field initialized decadal predictions with the MPI Earth System Model: An initial shock in the North Atlantic.
  • Ardilouze, C., Batté, L., Bunzel, F., Decremer, D., Déqué, M., Doblas-Reyes, F., Douville, H., Fereday, D., Guemas, V., MacLachlan, C., Müller, W. & Prodhomme, C. (2017). Multi-model assessment of the impact of soil moisture initialization on mid-latitude summer predictability. Climate Dynamics, available online- , doi:10.1007/s00382-017-3555-7
  • Ghosh, R., Müller, W. & Baehr, J. (2017). Impact of the multidecadal variations in the North Atlantic Sea Surface Temperature on European summer climate.Hamburg: Universität Hamburg Berichte zur Erdsystemforschung, 189 , doi:10.17617/2.2391979 [Fulltext]
  • Müller, V., Pohlmann, H., Matei, D., Marotzke, J., Müller, W. & Baehr, J. (2016). Hindkast skill for the Atlantik meridional overturning circulation at 26.5° N within two MPI-ESM decadal climate prediction systems. Climate Dynamics, available online- , doi:10.1007/s00382-016-3482-z
  • Mohino, E., Keenlyside, N. & Pohlmann, H. (2016). Decadal prediction of Sahel rainfall: where does the skill (or lack thereof) come from?. Climate Dynamics, 47, 3593-3612 , doi:10.1007/s00382-016-3416-9
  • Sienz, F., Müller, W. & Pohlmann, H. (2016). Ensemble size impact on the decadal predictive skill assessment. Meteorologische Zeitschrift, 25, 645-655 , doi:10.1127/metz/2016/0670 [Fulltext]
  • Kadow, C., Illing, S., Kunst, O., Rust, H., Pohlmann, H., Müller, W. & Cubasch, U. (2016). Evaluation of forecasts by accuracy and spread in the MiKlip decadal climate prediction system. Meteorologische Zeitschrift, 25, 631-643 , doi:10.1127/metz/2015/0639 [Fulltext]
  • Pattantyús-Ábrahám, M., Kadow, C., Illing, S., Müller, W., Pohlmann, H. & Steinbrecht, W. (2016). Bias and drift of the mid-range decadal climate prediction system (MiKlip) validated by European radiosonde data. Meteorologische Zeitschrift, 25, 709-720 , doi:10.1127/metz/2016/0803 [Fulltext]
  • Pohlmann, H., Kröger, J., Greatbatch, R. & Müller, W. (2016). Initialization shock in decadal hindcasts due to errors in wind stress over the tropical Pacific. Climate Dynamics, available online- , doi:10.1007/s00382-016-3486-8 [Fulltext]
  • Marotzke, J., Müller, W., Vamborg, F., Becker, P., Cubasch, U., Feldmann, H., Kaspar, F., Kottmeier, C., Marini, C., Polkova, I., Prömmel, K., Rust, H., Stammer, D., Ulbrich, U., Kadow, C., Köhl, A., Kröger, J., Kruschke, T., Pinto, J., Pohlmann, H., Reyers, M., Schröder, M., Sienz, F., Timmreck, C. & Ziese, M. (2016). MiKlip - a National Research Project on Decadal Climate Prediction. Bulletin of the American Meteorological Society, 97, 2379-2394 , doi:10.1175/BAMS-D-15-00184.1 [Fulltext]
  • Boer, G., Smith, D., Cassou, C., Doblas-Reyes, F., Danabasoglu, G., Kirtman, B., Kushnir, Y., Kimoto, M., Meehl, G., Msadek, R., Müller, W., Taylor, K., Zwiers, F., Rixen, M., Ruprich-Robert, Y. & Eade, R. (2016). The Decadal Climate Prediction Project (DCPP) contribution to CMIP6. Geoscientific Model Development, 9, 3751-3777 , doi:10.5194/gmd-9-3751-2016 [Fulltext]
  • Ghosh, R., Chakraborty, A. & Nanjundiah, R. (2016). Relative role of pre-monsoon conditions and intraseasonal oscillations in determining early-vs-late indian monsoon intensity in a GCM. Theoretical and Applied Climatology, available online- , doi:10.1007/s00704-016-1970-z [Fulltext]
  • Bittner, M., Schmidt, H., Timmreck, C. & Sienz, F. (2016). Using a large ensemble of simulations to assess the Northern Hemisphere stratospheric dynamical response to tropical volcanic eruptions and its uncertainty. Geophysical Research Letters, 43, 9324-9332 , doi:10.1002/2016GL070587
  • Ghosh, R., Müller, W., Baehr, J. & Bader, J. (2016). Impact of observed North Atlantic multidecadal variations to European summer climate: a linear baroclinic response to surface heating. Climate Dynamics, available online- , doi:10.1007/s00382-016-3283-4 [Fulltext]
  • Butler, A., Arribas, A., Athanassiadou, M., Baehr, J., Calvo, N., Charlton-Perez, A., Déqué, M., Domeisen, D., Fröhlich, K., Hendon, H., Imada, Y., Ishii, M., Iza, M., Karpechko, A., Kumar, A., Maclachlan, C., Merryfield, W., Müller, W., O'Neill, A., Scaife, A., Scinocca, J., Sigmond, M., Stockdale, T. & Yasuda, T. (2016). The Climate-system Historical Forecast Project: Do stratosphere-resolving models make better seasonal climate predictions in boreal winter?. Quarterly Journal of the Royal Meteorological Society, 142, 1413-1427 , doi:10.1002/qj.2743 [Fulltext]
  • Li, H., Ilyina, T., Müller, W. & Sienz, F. (2016). Decadal predictions of the North Atlantic CO2 uptake. Nature Communications, 7 , doi:10.1038/ncomms11076 [Fulltext] [Fulltext]
  • Timmreck, C., Pohlmann, H., Illing, S. & Kadow, C. (2016). The impact of stratospheric volcanic aerosol on decadal-scale climate predictions. Geophysical Research Letters, 43, 834-842 , doi:10.1002/2015GL067431
  • Bunzel, F., Notz, D., Baehr, J., Müller, W. & Fröhlich, K. (2016). Seasonal climate forecasts significantly affected by observational uncertainty of Arctic sea ice concentration. Geophysical Research Letters, 43, 852-859 , doi:10.1002/2015GL066928 [Fulltext] [Fulltext]
  • Kruschke, T., Rust, H., Kadow, C., Müller, W., Pohlmann, H., Leckebusch, G. & Ulbrich, U. (2016). Probabilistic evaluation of decadal prediction skill regarding Northern Hemisphere winter storms. Meteorologische Zeitschrift, 25, 721-738 , doi:10.1127/metz/2015/0641 [Fulltext]
  • Corti, S., Palmer, T., Balmaseda, M., Weisheimer, A., Drijfhout, S., Dunstone, N., Hazeleger, W., Kröger, J., Pohlmann, H., Smith, D., von Storch, J. & Wouters, B. (2015). Impact of initial conditions versus external forcing in decadal climate predictions: A sensitivity experiment. Journal of Climate, 28, 4454-4470 , doi:10.1175/JCLI-D-14-00671.1 [Fulltext]
  • Bellucci, A., Haarsma, R., Gualdi, S., Athanasiadis, P., Caian, M., Cassou, C., Fernandez, E., Germe, A., Jungclaus, J., Kröger, J., Matei, D., Mueller, W., Pohlmann, H., Salas y Melia, D., Sanchez, E., Smith, D., Terray, L., Wyser, K. & Yang, S. (2015). An assessment of a multi-model ensemble of decadal climate predictions. Climate Dynamics, 44, 2787-2806 , doi:10.1007/s00382-014-2164-y
  • Böttinger, M., Pohlmann, H., Röber, N., Meier-Fleischer, K. & Spickermann, D. (2015). Visualization of 2D uncertainty in decadal climate predictions. EuroVis Workshop on Visualization in Environmental Sciences (EnvirVis 2015) , doi:10.2312/envirvis.20151083
  • Baehr, J., Fröhlich , K., Botzet, M., Domeisen, D., Kornblueh, L., Notz, D., Piontek, R., Pohlmann, H., Tietsche, S. & Müller, W. (2015). The prediction of surface temperature in the new seasonal prediction system based on the MPI-ESM coupled climate model. Climate Dynamics, 44, 2723-2735 , doi:10.1007/s00382-014-2399-7
  • Domeisen, D., Butler, A., Fröhlich, K., Bittner, M., Mueller, W. & Baehr, J. (2015). Seasonal predictability over Europe arising from El Niño and stratospheric variability in the MPI-ESM seasonal prediction system. Journal of Climate, 28, 256-271 , doi:10.1175/JCLI-D-14-00207.1
  • Saeed, S., Van Lipzig, N., Mueller, W., Saeed, F. & Zanchettin, D. (2014). Influence of the circumglobal wave-train on European summer precipitation. Climate Dynamics, 43, 503-515 , doi:10.1007/s00382-013-1871-0
  • Mueller, W., Pohlmann, H., Sienz, F. & Smith , D. (2014). Decadal climate predictions for the period 1901-2010 with a coupled climate model. Geophysical Research Letters, 41, 2100-2107 , doi:10.1002/2014GL059259 [Fulltext]
  • Scaife, A., Athanassiadou, M., Andrews, M., Arribas, A., Baldwin, M., Dunstone, N., Knight, J., MacLachlan, C., Manzini, E., Mueller, W., Pohlmann, H., Smith, D., Stockdale, T. & Williams, A. (2014). Predictability of the quasi-biennial oscillation and its northern winter teleconnection on seasonal to decadal timescales. Geophysical Research Letters, 41, 1752-1758 , doi:10.1002/2013GL059160
  • Meehl, G., Goddard, L., Kirtman, B., Branstator, G., Danabasoglu, G., Hawkins, E., Kumar, A., Rosati, T., Smith, D., Sutton, R., Boer, G., Burgman, R., Carson, C., Corti, S., Karspeck, A., Keenlyside, N., Kimoto, M., Matei, D., Mignot, J., Msadek, R., Navarra, A., Pohlmann, H., Rienecker, M., Schneider, E., Tebaldi, C., Teng, H., van Oldenborgh, G., Vecchi, G. & Yeager, S. (2014). Decadal climate prediction: An update from the trenches. Bulletin of the American Meteorological Society, 95, 243-267 , doi:10.1175/BAMS-D-12-00241.1 [Fulltext]
  • Zanchettin, D., Bothe, O., Mueller, W., Bader, J. & Jungclaus, J. (2014). Different flavors of the Atlantic Multidecadal Variability. Climate Dynamics, 42, 381-399 , doi:10.1007/s00382-013-1669-0
  • Smith, D., Dunstone, N., Eade , R., Fereday, D., Murphy, J., Pohlmann, H. & Scaife, A. (2014). Comments on "Multiyear predictions of North Atlantic hurricane frequency: promise and limitations" . Journal of Climate, 27, 487-489 , doi:10.1175/JCLI-D-13-00220.1 [Fulltext]
  • Smith, D., Eade, R. & Pohlmann, H. (2013). A comparison of full-field and anomaly initialization for seasonal to decadal climate prediction. Climate Dynamics, 41, 3325-3338 , doi:10.1007/s00382-013-1683-2
  • Smith, D., Scaife, A., Boer, G., Caian, M., Dobles-Reyes, J., Guemas, V., Hawkins, E., Hazeleger, W., Hermansson, L., Ho, C., Ishii, M., Kharin, V., Kimoto, M., Kirtman, B., Lean, J., Matei, D., Merryfield, W., Mueller, W., Pohlmann, H., Rosati, A., Wouters, B. & Wyser, K. (2013). Real-time multi-model decadal climate predictions.
  • Pohlmann, H., Mueller, W., Kulkarni, K., Kameswarrao, M., Matei, D., Vamborg, F., Kadow, C., Illing, S. & Marotzke, J. (2013). Improved forecast skill in the tropics in the new MiKlip decadal climate predictions. Geophysical Research Letters, 40, 5798-5802 , doi:10.1002/2013GL058051 [Fulltext]
  • Giorgetta, M., Jungclaus, J., Reick, C., Legutke, S., Bader, J., Böttinger, M., Brovkin, V., Crueger, T., Esch, M., Fieg, K., Glushak, K., Gayler, V., Haak, H., Hollweg, H.-D., Ilyina, T., Kinne, S., Kornblueh, L., Matei, D., Mauritsen, T., Mikolajewicz, U., Mueller, W., Notz, D., Pithan, F., Raddatz, T., Rast, S., Redler, R., Roeckner, E., Schmidt, H., Schnur, R., Segschneider, J., Six, K., Stockhause, M., Timmreck, C., Wegner, J., Widmann, H., Wieners, K.-H., Claussen, M., Marotzke, J. & Stevens, B. (2013). Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the coupled model intercomparison project phase 5. Journal of Advances in Modeling Earth Systems, 5, 572-597 , doi:10.1002/jame.20038 [Fulltext]
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