The Max Planck Institute Grand Ensemble: Enabling the Exploration of Climate System Variability
暂无分享,去创建一个
B. Stevens | M. Claussen | J. Marotzke | T. Raddatz | D. Notz | E. Manzini | L. Boysen | L. Kornblueh | T. Ilyina | M. Botzet | N. Maher | Christopher J. Hedemann | S. Milinski | L. Suarez-Gutierrez | M. Dobrynin | J. Kröger | Y. Takano | R. Ghosh | Chao Li | Hongmei Li | D. Putrasahan | Dirk Olonscheck | D. Olonscheck | L. Suarez‐Gutierrez | Sebastian Milinski | Laura Suarez‐Gutierrez
[1] D. Schroeder. Arctic sea ice , 2021, Climate Change.
[2] D. Notz,et al. Arctic sea-ice variability is primarily driven by atmospheric temperature fluctuations , 2019, Nature Geoscience.
[3] Alexander J. Winkler,et al. Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2 , 2019, Journal of advances in modeling earth systems.
[4] A. Jahn,et al. Definition differences and internal variability affect the simulated Arctic sea ice melt season , 2019, The Cryosphere.
[5] Jochem Marotzke,et al. Quantifying the irreducible uncertainty in near‐term climate projections , 2018, WIREs Climate Change.
[6] J. Marotzke,et al. ENSO Change in Climate Projections: Forced Response or Internal Variability? , 2018, Geophysical Research Letters.
[7] J. Kay,et al. Influence of the Atlantic Meridional Overturning Circulation on the Northern Hemisphere Surface Temperature Response to Radiative Forcing , 2018, Journal of Climate.
[8] Q. Fu,et al. Larger Sensitivity of Precipitation Extremes to Aerosol Than Greenhouse Gas Forcing in CMIP5 Models , 2018, Journal of Geophysical Research: Atmospheres.
[9] C. Deser,et al. Internal Variability and Regional Climate Trends in an Observational Large Ensemble , 2018, Journal of Climate.
[10] L. Bengtsson,et al. Can an ensemble climate simulation be used to separate climate change signals from internal unforced variability? , 2018, Climate Dynamics.
[11] R. Seager,et al. The Downward Influence of Uncertainty in the Northern Hemisphere Stratospheric Polar Vortex Response to Climate Change , 2018, Journal of Climate.
[12] M. England,et al. On the Choice of Ensemble Mean for Estimating the Forced Signal in the Presence of Internal Variability , 2018, Journal of Climate.
[13] E. Manzini,et al. Nonlinear Response of the Stratosphere and the North Atlantic‐European Climate to Global Warming , 2018 .
[14] Robert R. Gillies,et al. Quantitative attribution of climate effects on Hurricane Harvey’s extreme rainfall in Texas , 2018 .
[15] B. Stevens,et al. The influence of internal variability on Earth's energy balance framework and implications for estimating climate sensitivity , 2018 .
[16] J. Marotzke,et al. Internal variability in European summer temperatures at 1.5 °C and 2 °C of global warming , 2018, Environmental Research Letters.
[17] Martin B. Stolpe,et al. Multidecadal Variability in Global Surface Temperatures Related to the Atlantic Meridional Overturning Circulation , 2018 .
[18] D. Notz,et al. Arctic Sea Ice in a 1.5°C Warmer World , 2018 .
[19] H. Seo,et al. North Atlantic winter eddy-driven jet and atmospheric blocking variability in the Community Earth System Model version 1 Large Ensemble simulations , 2018, Climate Dynamics.
[20] A. Dai,et al. Impacts of internal variability on temperature and precipitation trends in large ensemble simulations by two climate models , 2018, Climate Dynamics.
[21] B. Stevens. Reply to “Comments on ‘Rethinking the Lower Bound on Aerosol Radiative Forcing’” , 2015, Journal of Climate.
[22] S. Buehler,et al. How Robust Is the Weakening of the Pacific Walker Circulation in CMIP5 Idealized Transient Climate Simulations , 2018 .
[23] T. Ilyina,et al. Current and Future Decadal Trends in the Oceanic Carbon Uptake Are Dominated by Internal Variability , 2017 .
[24] Unraveling Causes for the Changing Behavior of the Tropical Indian Ocean in the Past Few Decades , 2017 .
[25] Young‐Oh Kwon,et al. Estimation of the SST Response to Anthropogenic and External Forcing and Its Impact on the Atlantic Multidecadal Oscillation and the Pacific Decadal Oscillation , 2017 .
[26] D. Notz,et al. Consistently Estimating Internal Climate Variability from Climate Model Simulations , 2017 .
[27] C. Deser,et al. Toward a New Estimate of “Time of Emergence” of Anthropogenic Warming: Insights from Dynamical Adjustment and a Large Initial-Condition Model Ensemble , 2017 .
[28] Karen A. McKinnon,et al. An “Observational Large Ensemble” to Compare Observed and Modeled Temperature Trend Uncertainty due to Internal Variability , 2017 .
[29] T. Frölicher,et al. Hiatus‐like decades in the absence of equatorial Pacific cooling and accelerated global ocean heat uptake , 2017 .
[30] D. Notz. Arctic sea ice seasonal-to-decadal variability and long-term change , 2017 .
[31] J. Marotzke,et al. Internal variability in simulated and observed tropical tropospheric temperature trends , 2017 .
[32] J. Marotzke,et al. The subtle origins of surface-warming hiatuses , 2017 .
[33] W. Seviour. Weakening and shift of the Arctic stratospheric polar vortex: Internal variability or forced response? , 2017 .
[34] E. Fischer,et al. Comparing Australian heat waves in the CMIP5 models through cluster analysis , 2017 .
[35] Tamás Tél,et al. The theory of parallel climate realizations as a new framework for teleconnection analysis , 2017, Scientific Reports.
[36] F. Zwiers,et al. Attribution of Extreme Events in Arctic Sea Ice Extent , 2017 .
[37] C. Tebaldi,et al. Benefits of mitigation for future heat extremes under RCP4.5 compared to RCP8.5 , 2018, Climatic Change.
[38] J. Fasullo,et al. Interannual Variability in Global Mean Sea Level Estimated from the CESM Large and Last Millennium Ensembles , 2016 .
[39] Q. Fu,et al. Sensitivity of precipitation extremes to radiative forcing of greenhouse gases and aerosols , 2016 .
[40] C. Timmreck,et al. Using a large ensemble of simulations to assess the Northern Hemisphere stratospheric dynamical response to tropical volcanic eruptions and its uncertainty , 2016 .
[41] C. Deser,et al. Forced and Internal Components of Winter Air Temperature Trends over North America during the past 50 Years: Mechanisms and Implications* , 2016 .
[42] Shaoqing Zhang,et al. Reduced interdecadal variability of Atlantic Meridional Overturning Circulation under global warming , 2016, Proceedings of the National Academy of Sciences.
[43] B. Stevens,et al. Amplification of El Niño by cloud longwave coupling to atmospheric circulation , 2016 .
[44] W. G. Strand,et al. A new ensemble of GCM simulations to assess avoided impacts in a climate mitigation scenario , 2018, Climatic Change.
[45] J. Gregory,et al. Irreducible uncertainty in near-term climate projections , 2016, Climate Dynamics.
[46] B. Sanderson,et al. Does extreme precipitation intensity depend on the emissions scenario? , 2015 .
[47] S. Solomon,et al. Observational evidence of strengthening of the Brewer‐Dobson circulation since 1980 , 2015 .
[48] M. England,et al. Separating Internal Variability from the Externally Forced Climate Response , 2015 .
[49] Dirk Notz,et al. How well must climate models agree with observations? , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[50] K.,et al. The Community Earth System Model (CESM) large ensemble project: a community resource for studying climate change in the presence of internal climate variability , 2015 .
[51] V. Brovkin,et al. Strong dependence of CO2 emissions from anthropogenic land cover change on initial land cover and soil carbon parametrization , 2015 .
[52] C. Deser,et al. Quantifying the Role of Internal Climate Variability in Future Climate Trends , 2015 .
[53] M. England,et al. Effects of volcanism on tropical variability , 2015 .
[54] Adam A. Scaife,et al. Stratospheric influence on tropospheric jet streams, storm tracks and surface weather , 2015 .
[55] Tamás Bódai,et al. Probabilistic Concepts in a Changing Climate: A Snapshot Attractor Picture , 2015 .
[56] N. Diffenbaugh,et al. Anthropogenic warming has increased drought risk in California , 2015, Proceedings of the National Academy of Sciences.
[57] Peter J. Webster,et al. The albedo of Earth , 2015 .
[58] J. Marotzke,et al. Forcing, feedback and internal variability in global temperature trends , 2015, Nature.
[59] Ed Hawkins,et al. Influence of internal variability on Arctic sea-ice trends , 2015 .
[60] Keith B. Rodgers,et al. Emergence of multiple ocean ecosystem drivers in a large ensemble suite with an Earth system model , 2014 .
[61] Stephan Lewandowsky,et al. Well-estimated global surface warming in climate projections selected for ENSO phase , 2014 .
[62] Shingo Watanabe,et al. Northern winter climate change: Assessment of uncertainty in CMIP5 projections related to stratosphere‐troposphere coupling , 2014 .
[63] G. Vecchi,et al. ENSO Modulation: Is It Decadally Predictable? , 2014 .
[64] Tobias Stacke,et al. Impact of the soil hydrology scheme on simulated soil moisture memory , 2013, Climate Dynamics.
[65] W. Collins,et al. Evaluation of climate models , 2013 .
[66] Jaclyn N. Brown,et al. Climate Drift in the CMIP5 Models , 2013 .
[67] Dongxiao Zhang,et al. Atlantic Meridional Overturning Circulation (AMOC) in CMIP5 Models: RCP and Historical Simulations , 2013 .
[68] Joseph Daron,et al. On predicting climate under climate change , 2013 .
[69] B. Stevens,et al. Climate and carbon cycle changes from 1850 to 2100 in MPI‐ESM simulations for the Coupled Model Intercomparison Project phase 5 , 2013 .
[70] V. Brovkin,et al. Representation of natural and anthropogenic land cover change in MPI‐ESM , 2013 .
[71] Hongmei Li,et al. Global ocean biogeochemistry model HAMOCC: Model architecture and performance as component of the MPI‐Earth system model in different CMIP5 experimental realizations , 2013 .
[72] B. Stevens,et al. Atmospheric component of the MPI‐M Earth System Model: ECHAM6 , 2013 .
[73] Elizabeth A. Barnes,et al. Response of the Midlatitude Jets, and of Their Variability, to Increased Greenhouse Gases in the CMIP5 Models , 2013 .
[74] G. Hegerl,et al. Detection and attribution of climate change: from global to regional , 2013 .
[75] C. Tebaldi,et al. Long-term Climate Change: Projections, Commitments and Irreversibility , 2013 .
[76] C. Timmreck,et al. Impact of an extremely large magnitude volcanic eruption on the global climate and carbon cycle estimated from ensemble Earth System Model simulations , 2012 .
[77] K. Taylor,et al. Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere‐ocean climate models , 2012 .
[78] P. Jones,et al. Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set , 2012 .
[79] Karl E. Taylor,et al. An overview of CMIP5 and the experiment design , 2012 .
[80] J. Marotzke,et al. Observations reveal external driver for Arctic sea‐ice retreat , 2012 .
[81] C. Deser,et al. Uncertainty in climate change projections: the role of internal variability , 2012, Climate Dynamics.
[82] Ed Hawkins,et al. Decadal Predictability of the Atlantic Ocean in a Coupled GCM: Forecast Skill and Optimal Perturbations Using Linear Inverse Modeling , 2009 .
[83] G. Branstator,et al. “Modes of Variability” and Climate Change , 2009 .
[84] N. Gillett,et al. The role of eddies in the southern ocean temperature response to the southern annular mode. , 2009 .
[85] G. Burgers,et al. El Niño and Greenhouse Warming: Results from Ensemble Simulations with the NCAR CCSM , 2005 .
[86] R. Sutton,et al. Atlantic Ocean Forcing of North American and European Summer Climate , 2005, Science.
[87] Mojib Latif,et al. The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates , 2003 .
[88] J. Coakley,et al. Clouds and the Earth's Radiant Energy System (CERES) Validation Plan CERES Inversion to Instantaneous TOA Fluxes (Subsystem 4.5) , 2000 .
[89] Bryan A. Baum,et al. Clouds and the Earth's Radiant Energy System (CERES) , 1995 .