Publications at MPI-M

Peer Reviewed Articles

  2017 2018 2019 2020 2021 2022 2023 (I-IX)
Articles 165 180 180 195 207 168 133
Open Access 121 146 151 162 177 135 102
1st / Corr. Author 64 70 80 77 80 48 42

Most Frequently Used Journals at MPI-M

Since the last evaluation by the scientific advisory board, the researchers of the MPI-M have published around 545 articles in peer-reviewed journals. In total, articles appeared in 130 different scholarly journals. Approximately 66% of all, however, were concentrated in the 22 titles shown. The article processing charges for open access are mostly covered by central agreements of the MPG. Exceptions are the journals of the American Meteorological Society (AMS), whose APCs are paid by the institute or project or for which the green road can be chosen after 6 months.

All Publications October 2020 - September 2023

  • Ssebandeke, J., von Storch, J. & Brüggemann, N. (2024). Sensitivity of the global Lorenz energy cycle. Ocean Dynamics, available online.. doi:10.1007/s10236-023-01568-6 [publisher-version][supplementary-material]
  • Windmiller, J. & Stevens, B. (2024). The inner life of the Atlantic Intertropical Convergence Zone. Quarterly Journal of the Royal Meteorological Society: early view. doi:10.1002/qj.4610
  • Beobide-Arsuaga, G., Düsterhus, A., Müller, W., Barnes, E. & Baehr, J. (2023). Spring regional sea surface temperatures as a precursor of European summer heatwaves. Geophysical Research Letters, 50: e2022GL100727. doi:10.1029/2022GL100727 [publisher-version]
  • Brasseur, G., Barth, M., Kazil, J., Patton, E. & Wang, Y. (2023). Segregation of fast-reactive species in atmospheric turbulent flow. Atmosphere, 14: 1136. doi:10.3390/atmos14071136 [publisher-version]
  • Cai , D., Fraedrich, K., Sielmann, F., Zhu, S. & Yu, L. (2023). Attribution and causality analyses of regional climate variability. Land, 12: 817. doi:10.3390/land12040817 [publisher-version]
  • Chevalier, M., Dallmeyer, A., Weitzel, N., Li, C., Baudouin, J.-P., Herzschuh, U., Cao, X. & Hense, A. (2023). Refining data-data and data-model vegetation comparisons using the Earth mover's distance (EMD). Climate of the Past, 19, 1043-1060. doi:10.5194/cp-19-1043-2023 [publisher-version]
  • Crueger, T., Schmidt, H. & Stevens, B. (2023). Hemispheric albedo asymmetries across three phases of CMIP. Journal of Climate, 36, 5267-5280. doi:10.1175/JCLI-D-22-0923.1 [publisher-version]
  • Dallmeyer, A., Poska, A., Marquer, L., Seim, A. & Gaillard-Lemdahl, M.-J. (2023). The challenge of comparing pollen-based quantitative vegetation reconstruction with outputs from vegetation models - a European perspective. Climate of the Past, 19, 1531-1557. doi:10.5194/cp-19-1531-2023 [supplementary-material][publisher-version]
  • de Vrese, P., Beckebanze, L., Galera, L., Holl, D., Kleinen, T., Kutzbach, L., Rehder, Z. & Brovkin, V. (2023). Sensitivity of Arctic CH4 emissions to landscape wetness diminished by atmospheric feedbacks. Nature Climate Change. doi:10.1038/s41558-023-01715-3 [publisher-version][supplementary-material]
  • de Vrese, P., Georgievski, G., Gonzalez Rouco, J., Notz, D., Stacke, T., Steinert, N., Wilkenskjeld, S. & Brovkin, V. (2023). Representation of soil hydrology in permafrost regions may explain large part of inter-model spread in simulated Arctic and Subarctic climate. The Cryosphere, 17, 2095-2118. doi:10.5194/tc-17-2095-2023 [publisher-version]
  • Dunkl, I., Lovenduski, N., Collalti, A., Arora, V., Ilyina, T. & Brovkin, V. (2023). Gross primary productivity and the predictability of CO2: more uncertainty in what we predict than how well we predict it. Biogeosciences, 20, 3523-3538. doi:10.5194/bg-20-3523-2023 [pre-print][supplementary-material][publisher-version]
  • Franke, H., Preusse, P. & Giorgetta, M. (2023). Changes of tropical gravity waves and the quasi-biennial oscillation in storm-resolving simulations of idealized global warming. Quarterly Journal of the Royal Meteorological Society, 149, 2838-2860. doi:10.1002/qj.4534 [publisher-version]
  • George, G., Stevens, B., Bony , S., Vogel, R. & Naumann, A. (2023). Widespread shallow mesoscale circulations observed in the trades. Nature Geoscience, 16, 584-589. doi:10.1038/s41561-023-01215-1 [publisher-version][supplementary-material]
  • Ghosh, R., Putrasahan, D., Manzini, E., Lohmann, K., Keil, P., Hand, R., Bader, J., Matei, D. & Jungclaus, J. (2023). Two distinct phases of North Atlantic eastern subpolar gyre and warming hole evolution under global warming. Journal of Climate, 36, 1881-1894. doi:10.1175/JCLI-D-22-0222.1 [publisher-version][supplementary-material]
  • Hohenegger, C., Ament, F., Beyrich, F., Löhnert, U., Rust, H., Bange, J., Böck, T., Böttcher, C., Boventer, J., Burgemeister, F., Clemens, M., Detring, C., Detring, I., Dewani, N., Bastak-Duran, I., Fiedler, S., Göber, M., van Heerwaarden, C., Heusinkveld, B., Kirsch, B., Klocke, D., Knist, C., Lange, I., Lauermann, F., Lehmann, V., Lehmke, J., Leinweber, R., Lundgren, K., Masbou, M., Mauder, M., Mol, W., Nevermann, H., Nomokonova, T., Päschke, E., Platis, A., Reichardt, J., Rochette, L., Sakradzija, M., Schlemmer, L., Schmidli, J., Shokri, N., Sobottke, V., Speidel, J., Steinheuer, J., Turner, D., Vogelmann, H., Wedemeyer, C., Weide-Luiz, E., Wiesner, S., Wildmann, N., Wolz, K. & Wetz, T. (2023). FESSTVaL: The Field Experiment on Submesoscale Spatio-Temporal Variability in Lindenberg. Bulletin of the American Meteorological Society, 104, E1875-E1892. doi:10.1175/BAMS-D-21-0330.1 [publisher-version]
  • Hohenegger, C., Korn, P., Linardakis, L., Redler, R., Schnur, R., Adamidis, P., Bao, J., Bastin, S., Behravesh, M., Bergemann, M., Biercamp, J., Bockelmann, H., Brokopf, R., Brüggemann, N., Casaroli, L., Chegini, F., Datseris, G., Esch, M., George, G., Giorgetta, M., Gutjahr, O., Haak, H., Hanke, M., Ilyina, T., Jahns, T., Jungclaus, J., Kern, M., Klocke, D., Kluft, L., Kölling, T., Kornblueh, L., Kosukhin, S., Kroll, C., Lee, J., Mauritsen, T., Mehlmann, C., Mieslinger, T., Naumann, A., Paccini, L., Peinado, A., Praturi, D., Putrasahan, D., Rast, S., Riddick, T., Roeber, N., Schmidt, H., Schulzweida, U., Schütte, F., Segura, H., Shevchenko, R., Singh, V., Specht, M., Stephan, C., von Storch, J., Vogel, R., Wengel, C., Winkler, M., Ziemen, F., Marotzke, J. & Stevens, B. (2023). ICON-Sapphire: simulating the components of the Earth System and their interactions at kilometer and subkilometer scales. Geoscientific Model Development, 16, 779-811. doi:10.5194/gmd-16-779-2023 [publisher-version]
  • Jiang , M., Li, Y., Hu, W., Yang, Y., Brasseur, G. & Zhao, X. (2023). Model-based insights into aerosol perturbation on pristine continental convective precipitation. Atmospheric Chemistry and Physics, 23, 4545-4557. doi:10.5194/acp-23-4545-2023 [publisher-version]
  • Jiménez de la Cuesta Otero, D. (2023). The varying earth’s radiative feedback connected to the ocean energy uptake: A theoretical perspective from conceptual frameworks. Journal of Climate, 36, 2367-2385. doi:10.1175/JCLI-D-22-0345.1 [publisher-version]
  • Jungandreas, L., Hohenegger, C. & Claussen, M. (2023). How does the explicit treatment of convection alters the precipitation-soil hydrology interaction in the mid-Holocene African humid period?. Climate of the Past, 19, 637-664. doi:10.5194/cp-19-637-2023 [publisher-version]
  • Kang, S., Yu, Y., Deser, C., Zhang, X., Kang, I.-S., Lee, S.-S., Rodgers, K. & Ceppi, P. (2023). Global impacts of recent Southern Ocean cooling. Proceedings of the National Academy of Sciences, 120: e2300881120. doi:10.1073/pnas.2300881120 [publisher-version][supplementary-material]
  • Kang, S., Ceppi, P., Yu, Y. & Kang, I.-S. (2023). Recent global climate feedback controlled by Southern Ocean cooling. Nature Geoscience, 16, 775-780. doi:10.1038/s41561-023-01256-6 [publisher-version]
  • Keil, P., Schmidt, H., Stevens, B., Byrne, M., Segura, H. & Putrasahan, D. (2023). Tropical tropospheric warming pattern explained by shifts in convective heating in the Matsuno-Gill Model. Quarterly Journal of the Royal Meteorological Society, 149, 2678-2695. doi:10.1002/qj.4526 [publisher-version]
  • Keppler, L., Landschützer, P., Lauvset, S. & Gruber, N. (2023). Recent trends and variability in the oceanic storage of dissolved inorganic carbon. Global Biogeochemical Cycles, 37: e2022GB007677. doi:10.1029/2022GB007677 [publisher-version]
  • Kleinen, T., Gromov, S., Steil, B. & Brovkin, V. (2023). Atmospheric methane since the last glacial maximum was driven by wetland sources. Climate of the Past, 19, 1081-1099. doi:10.5194/cp-19-1081-2023 [supplementary-material][publisher-version]
  • Köhler, L., Green, B. & Stephan, C. (2023). Comparing Loon superpressure balloon observations of gravity waves in the tropics with global storm-resolving models. Journal of Geophysical Research: Atmospheres, 128: e2023JD038549. doi:10.1029/2023JD038549
  • Kroll, C., Fueglistaler, S., Schmidt, H., Kornblueh, L. & Timmreck, C. (2023). The sensitivity of moisture flux partitioning in the cold-point tropopause to external forcing. Geophysical Research Letters, 50: e2022GL102262. doi:10.1029/2022GL102262 [supplementary-material][publisher-version]
  • Landschützer, P., Tanhua, T., Behncke, J. & Keppler, L. (2023). Sailing through the southern seas of air-sea CO2 flux uncertainty. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 381: 20220064. doi:10.1098/rsta.2022.0064 [publisher-version]
  • Lang, T., Naumann, A., Buehler, S., Stevens, B., Schmidt, H. & Aemisegger, F. (2023). Sources of uncertainty in mid-tropospheric tropical humidity in global storm-resolving simulations. Journal of Advances in Modeling Earth Systems, 15: e2022MS003443. doi:10.1029/2022MS003443 [publisher-version]
  • Lee, J., Lee, H.-J., Kim, K.-B., Shin, H., Lim, J.-M., Hong, J. & Lim, K.-S. (2023). Height correction method based on the Monin–Obukhov similarity theory for better prediction of near-surface wind fields. Atmospheric Research, 292: 106882. doi:10.1016/j.atmosres.2023.106882
  • Li, C., Walters, S., Mueller, J.-F., Orlando, J. & Brasseur, G. (2023). Contamination of tea leaves by anthraquinone: The atmosphere as a possible source. Ambio, 52, 1373-1388. doi:10.1007/s13280-023-01858-9 [publisher-version][supplementary-material]
  • Li, H., Ilyina, T., Loughran, T., Spring, A. & Pongratz, J. (2023). Reconstructions and predictions of the global carbon budget with an emission-driven Earth System Model. Earth System Dynamics, 14, 101-119. doi:10.5194/esd-14-101-2023 [supplementary-material][publisher-version]
  • Morfa Avalos, Y. & Stephan, C. (2023). The relationship between horizontal and vertical velocity wavenumber spectra in global storm-resolving simulations. Journal of the Atmospheric Sciences, 80, 1087-1105. doi:10.1175/JAS-D-22-0105.1 [publisher-version]
  • Olonscheck, D., Suarez-Gutierrez, L., Milinski, S., Beobide-Arsuaga, G., Baehr, J., Fröb, F., Ilyina, T., Kadow, C., Krieger, D., Li, H., Marotzke, J., Plesiat, T., Schupfner, M., Wachsmann, F., Wallberg, L., Wieners, K.-H. & Brune, S. (2023). The new Max Planck Institute Grand Ensemble with CMIP6 forcing and high-frequency model output. Journal of Advances in Modeling Earth Systems, 15: e2023MS003790. doi:10.1029/2023MS003790 [publisher-version][supplementary-material]
  • Paccini, L. & Stevens, B. (2023). Assessing precipitation over the Amazon basin as simulated by a storm-resolving model. Journal of Geophysical Research: Atmospheres, 128: e2022JD037436. doi:10.1029/2022JD037436 [supplementary-material][publisher-version]
  • Pohlmann, H., Brune, S., Fröhlich, K., Jungclaus, J., Sgoff, C. & Baehr, J. (2023). Impact of ocean data assimilation on climate predictions with ICON-ESM.. Climate Dynamics, 61, 357-373. doi:10.1007/s00382-022-06558-w [publisher-version]
  • Prange, M., Buehler, S. & Brath, M. (2023). How adequately are elevated moist layers represented in reanalysis and satellite observations?. Atmospheric Chemistry and Physics, 23, 725-741. doi:10.5194/acp-23-725-2023 [publisher-version]
  • Radtke, J., Vogel, R., Ament, F. & Naumann, A. (2023). Spatial organisation affects the pathway to precipitation in simulated trade-wind convection. Geophysical Research Letters, 50: e2023GL103579. doi:10.1029/2023GL103579 [publisher-version]
  • Ratzke, L. (2023). Revealing preferences for urban biodiversity as an environmental good. Ecological Economics, 212: 107884. doi:10.1016/j.ecolecon.2023.107884
  • Rehder, Z., Kleinen, T., Kutzbach, L., Stepanenko, V., Langer, M. & Brovkin, V. (2023). Simulated methane emissions from Arctic ponds are highly sensitive to warming. Biogeosciences, 20, 2837-2855. doi:10.5194/bg-20-2837-2023 [supplementary-material][publisher-version][supplementary-material]
  • Roemer, F., Buehler, S., Brath, M., Kluft, L. & John , V. (2023). Direct observation of Earth's spectral long-wave feedback parameter. Nature Geoscience, 16, 416-421. doi:10.1038/s41561-023-01175-6 [publisher-version]
  • Schannwell, C., Mikolajewicz, U., Ziemen, F. & Kapsch, M.-L. (2023). Sensitivity of Heinrich-type ice-sheet surge characteristics to boundary forcing perturbations. Climate of the Past, 19, 179-198. doi:10.5194/cp-19-179-2023 [publisher-version]
  • Schanz, T., Möller, K., Rühl, S. & Greenberg, D. (2023). Robust detection of marine life with label-free image feature learning and probability calibration. Machine Learning: Science and Technology, 4: 035007. doi:10.1088/2632-2153/ace417 [publisher-version]
  • Schmidt, L. & Hohenegger, C. (2023). Constraints on the ratio between tropical land and ocean precipitation derived from a conceptual water balance model. Journal of Hydrometeorology, 24, 1103-1117. doi:10.1175/JHM-D-22-0162.1 [code][publisher-version]
  • Shevchenko, R., Hohenegger, C. & Schmitt, M. (2023). Impact of diurnal warm layers on atmospheric convection.. Journal of Geophysical Research: Atmospheres, 128: e2022JD038473. doi:10.1029/2022JD038473 [supplementary-material][supplementary-material][publisher-version]
  • Suarez-Gutierrez, L., Müller, W. & Marotzke, J. (2023). Extreme heat and drought typical of an end-of-century climate could occur over Europe soon and repeatedly. Communications Earth & Environment, 4: 415. doi:10.1038/s43247-023-01075-y [pre-print][publisher-version]
  • von Storch, J.-S., Hertwig, E., Lüschow, V., Brüggemann, N., Haak, H., Korn, P. & Singh, V. (2023). Open-ocean tides simulated by ICON-O. Geoscientific Model Development, 16, 5179-5196. doi:10.5194/gmd-16-5179-2023 [supplementary-material][publisher-version][any-fulltext]
  • von Storch, J.-S. & Lüschow, V. (2023). Wind power input to ocean near-inertial waves diagnosed from a 5-km coupled atmosphere-ocean general circulation model. Journal of Geophysical Research: Oceans, 128: e2022JC019111. doi:10.1029/2022JC019111 [supplementary-material][supplementary-material][publisher-version]
  • Windmiller, J., Bao, J., Sherwood, S., Schanzer, T. & Fuchs, D. (2023). Predicting convective downdrafts from updrafts and environmental conditions in a global storm resolving simulation. Journal of Advances in Modeling Earth Systems, 15: e2022MS003048. doi:10.1029/2022MS003048 [supplementary-material][publisher-version]
  • Xu, J., Wu, H., Xu, Y., Koldunov, N., Zhang, X., Kong, L., Xu, M., Fraedrich, K. & Zhi, X. (2023). Validation of Nadir SWH and its variance characteristics from CFOSAT in China’s offshore waters. Remote Sensing, 15: 1005. doi:10.3390/rs15041005 [publisher-version]
  • Xu, J., Zhi, X., Sein, D., Cabos, W., Luo, Y., Zhang, L., Dong, F., Fraedrich, K. & Jacob, D. (2023). Predictability of coastal boundary layer jets in South China using atmosphere–ocean coupling. Journal of Geophysical Research: Atmospheres, 128: e2023JD039184. doi:10.1029/2023JD039184
  • Andernach, M., Turton V, J. & Moelg, T. (2022). Modeling cloud properties over the 79 N Glacier (Nioghalvfjerdsfjorden, NE Greenland) for an intense summer melt period in 2019. Quarterly Journal of the Royal Meteorological Society, 148, 3566-3590. doi:10.1002/qj.4374
  • Bao, J., Dixit, V. & Sherwood, S. (2022). Zonal temperature gradients in the tropical free troposphere. Journal of Climate, 35, 4337-4348 . doi:10.1175/JCLI-D-22-0145.1 [publisher-version]
  • Brovkin, V. & Gayler, V. (2022). Rückkopplungen zwischen Klima und globalem Kohlenstoffkreislauf. Promet, 105(Grundlagen des globalen Kohlenstoffkreislaufs), 61-68. doi:10.5676/DWD_pub/promet_105_08 [publisher-version]
  • D'Agostino, R. & Timmreck, C. (2022). Sensitivity of regional monsoons to idealised equatorial volcanic eruption of different sulfur emission strengths. Environmental Research Letters, 17: 054001. doi:10.1088/1748-9326/ac62af [publisher-version]
  • Dallmeyer, A., Kleinen, T., Claussen, M., Weitzel, N., Cao, X. & Herzschuh, U. (2022). The deglacial forest conundrum. Nature Communications, 13: 6035. doi:10.1038/s41467-022-33646-6 [supplementary-material][multimedia][publisher-version][supplementary-material]
  • Datseris, G., Vahdati, A. & Dubois, T. (2022). Agents.jl: A performant and feature-full agent based modelling software of minimal code complexity. Simulation. doi:10.1177/00375497211068820 [publisher-version]
  • Datseris, G. & Wagemakers, A. (2022). Effortless estimation of basins of attraction. Chaos, 32: 023104. doi:10.1063/5.0076568 [publisher-version]
  • Dauhut, T. & Hohenegger, C. (2022). The contribution of convection to the stratospheric water vapor: the first budget using a Global-Storm-Resolving Model. Journal of Geophysical Research: Atmospheres, 127: e2021JD036295. doi:10.1029/2021JD036295 [publisher-version]
  • Dorff, H., Konow, H. & Ament, F. (2022). Horizontal geometry of trade wind cumuli - aircraft observations from a shortwave infrared imager versus a radar profiler. Atmospheric Measurement Techniques, 15, 3641-3661. doi:10.5194/amt-15-3641-2022 [publisher-version]
  • Dunkl, I. & Ließ, M. (2022). On the benefits of clustering approaches in digital soil mapping: an application example concerning soil texture regionalization. Soil, 8, 541-558. doi:10.5194/soil-8-541-2022 [publisher-version]
  • Duque-Villegas, M., Claussen, M., Brovkin, V. & Kleinen, T. (2022). Effects of orbital forcing, greenhouse gases and ice sheets on Saharan greening in past and future multi-millennia. Climate of the Past, 18, 1897-1914. doi:10.5194/cp-18-1897-2022 [supplementary-material][publisher-version]
  • Extier, T., Six, K., Liu, B., Paulsen, H. & Ilyina, T. (2022). Local oceanic CO2 outgassing triggered by terrestrial carbon fluxes during deglacial flooding. Climate of the Past, 18, 273-292. doi:10.5194/cp-18-273-2022 [publisher-version]
  • Fang, S.-W., Timmreck, C., Jungclaus, J., Krüger , K. & Schmidt, H. (2022). On the additivity of climate responses to the volcanic and solar forcing in the early 19th century.. Earth System Dynamics, 13, 1535-1555. doi:10.5194/esd-13-1535-2022 [pre-print][supplementary-material][publisher-version]
  • Fodor, K., Mellado, J. & Haghshenas, A. (2022). On the non-monotonic variation of the entrainment buoyancy flux with wind shear. Boundary-Layer Meteorology, 184, 463-477. doi:10.1007/s10546-022-00712-x [publisher-version]
  • Giorgetta, M., Sawyer, W., Lapillonne, X., Adamidis, P., Alexeev, D., Clement, V., Dietlicher, R., Engels, J., Esch, M., Franke, H., Frauen, C., Hannah, W., Hillman, B., Kornblueh, L., Marti, P., Norman, M., Pincus, R., Rast, S., Reinert, D., Schnur, R., Schulzweida, U. & Stevens, B. (2022). The ICON-A model for direct QBO simulations on GPUs (version icon-cscs:baf28a514). Geoscientific Model Development, 15, 6985-7016. doi:10.5194/gmd-15-6985-2022 [publisher-version]
  • Günther, M., Kantelhardt, J. & Bartsch, R. (2022). The reconstruction of causal networks in physiology. Frontiers in Network Physiology, 2: 893743. doi:10.3389/fnetp.2022.893743 [publisher-version]
  • Günther, M., Schmidt, H., Timmreck, C. & Toohey, M. (2022). Climate feedback to stratospheric aerosol forcing: the key role of the pattern effect. Journal of Climate, 35, 4303-4317. doi:10.1175/JCLI-D-22-0306.1 [publisher-version]
  • Gutjahr, O., Jungclaus, J., Brüggemann , N., Haak, H. & Marotzke, J. (2022). Air-sea interactions and water mass transformation during a katabatic storm in the Irminger Sea. Journal of Geophysical Research: Oceans, 127: e2021JC018075. doi:10.1029/2021JC018075 [publisher-version][supplementary-material]
  • Hedemann, C., Mauritsen, T., Jungclaus, J. & Marotzke, J. (2022). Reconciling conflicting accounts of local radiative feedbacks in climate models. Journal of Climate, 35, 3131-3146. doi:10.1175/JCLI-D-21-0513.1 [supplementary-material][publisher-version]
  • Henry, C., Drews, R., Schannwell, C. & Visnjevic, V. (2022). Hysteretic evolution of ice rises and ice rumples with variations in sea level. The Cryosphere, 16, 3889-3905. doi:10.5194/tc-16-3889-2022 [publisher-version][supplementary-material]
  • Hohenegger, C. & Stevens, B. (2022). Tropical continents rainier than expected from geometrical constraints. AGU Advances, 3: e2021AV000636. doi:10.1029/2021AV000636 [supplementary-material][publisher-version]
  • Jungclaus, J., Lorenz, S., Schmidt, H., Brovkin, V., Brüggemann, N., Chegini, F., Crueger, T., de Vrese, P., Gayler, V., Giorgetta, M., Gutjahr, O., Haak, H., Hagemann , S., Hanke, M., Ilyina, T., Korn, P., Kröger, J., Linardakis, L., Mehlmann, C., Mikolajewicz, U., Müller, W., Nabel, J., Notz, D., Pohlmann, H., Putrasahan, D., Raddatz, T., Ramme, L., Redler, R., Reick, C., Riddick, T., Sam, T., Schneck, R., Schnur, R., Schupfner, M., von Storch, J.-S., Wachsmann, F., Wieners, K.-H., Ziemen, F., Stevens, B., Marotzke, J. & Claussen, M. (2022). The ICON Earth System Model Version 1.0. Journal of Advances in Modeling Earth Systems, 14: e2021MS002813. doi:10.1029/2021MS002813 [publisher-version]
  • Kapsch, M.-L., Mikolajewicz, U., Ziemen, F. & Schannwell, C. (2022). Ocean response in transient simulations of the last deglaciation dominated by underlying ice sheet reconstruction and method of melt water distribution. Geophysical Research Letters, 49: e2021GL096767. doi:10.1029/2021GL096767 [supplementary-material][supplementary-material][supplementary-material][publisher-version]
  • Korn, P., Brüggemann, N., Jungclaus, J., Lorenz, S., Gutjahr, O., Haak, H., Linardakis, L., Mehlmann, C., Mikolajewicz, U., Notz, D., Putrasahan, D., Singh, V., von Storch, J.-S., Zhu , X. & Marotzke, J. (2022). ICON-O: The Ocean Component of the ICON Earth System Model - Global simulation characteristics and local telescoping capability. Journal of Advances in Modeling Earth Systems, 14: e2021MS002952. doi:10.1029/2021MS002952 [publisher-version]
  • Kumar, A., Brüggemann, N., Smith, R. & Marotzke, J. (2022). Response of a tropical cyclone to a subsurface ocean eddy and the role of boundary layer dynamics. Quarterly Journal of the Royal Meteorological Society, 148, 378-402. doi:10.1002/qj.4210 [publisher-version]
  • Lee, J., Hohenegger, C., Chlond, A. & Schnur, R. (2022). The climatic role of interactive leaf phenology in the vegetation-atmosphere system of radiative-convective equilibrium storm-resolving simulations. Tellus, Series B - Chemical and Physical Meteorology, 74, 164-175. doi:10.16993/tellusb.26 [publisher-version]
  • Linardakis, L., Stemmler, I., Hanke, M., Ramme, L., Chegini, F., Ilyina, T. & Korn, P. (2022). Improving scalability of Earth System Models through coarse-grained component concurrency - a case study with the ICON v2.6.5 modelling system. Geoscientific Model Development, 15, 9157-9176. doi:10.5194/gmd-15-9157-2022 [publisher-version]
  • Maher, N., Tabarin, T. & Milinski, S. (2022). Combining machine learning and SMILEs to classify, better understand, and project changes in ENSO events. Earth System Dynamics, 13, 1289-1304. doi:10.5194/esd-13-1289-2022 [supplementary-material][publisher-version][supplementary-material]
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