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1. Full Text The ‘too few, too bright’ tropical low‐cloud problem in CMIP5 models
by Nam, C and Bony, S and Dufresne, J.‐L and Chepfer, H
Geophysical research letters, ISSN 0094-8276, 11/2012, Volume 39, Issue 21, pp. L21801 - n/a
CMIP5 | cloud‐radiative effects | parasol | CALIPSO | COSP | low‐level clouds | Geosciences, Multidisciplinary | Physical Sciences | Geology | Science & Technology | Earth, ocean, space | Earth sciences | Exact sciences and technology | Climatology | Earth Sciences | Sciences of the Universe | Ocean, Atmosphere
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2. Full Text Global ocean biogeochemistry model HAMOCC: Model architecture and performance as component of the MPI‐Earth system model in different CMIP5 experimental realizations
by Ilyina, Tatiana and Six, Katharina D and Segschneider, Joachim and Maier‐Reimer, Ernst and Li, Hongmei and Núñez‐Riboni, Ismael
Journal of advances in modeling earth systems, ISSN 1942-2466, 06/2013, Volume 5, Issue 2, pp. 287 - 315
CMIP5 | ocean biogeochemistry | ESM | Meteorology & Atmospheric Sciences | Physical Sciences | Science & Technology | Carbon cycle | Earth | Climate change | Biogeochemistry | Architecture | Models | Carbon | Experiments | Climate change causes | General circulation models | Carbon dioxide emissions | Ecosystems | Carbon dioxide | Carbon dioxide in the atmosphere | Intercomparison | Future climates | Global warming | Carbon uptake | Meteorology | Carbon dioxide flux | Energy flow | Greenhouse effect | Oceans | Climatic changes | Greenhouse gases | Anthropogenic factors | Uptake | Emissions | Gases | Experimental design | Carbon dioxide concentration
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3. Full Text Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere‐ocean climate models
by Andrews, Timothy and Gregory, Jonathan M and Webb, Mark J and Taylor, Karl E and Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Geophysical research letters, ISSN 0094-8276, 05/2012, Volume 39, Issue 9, p. n/a
CMIP5 | radiative forcing | AOGCMs | climate sensitivity | climate feedbacks | Earth, ocean, space | Earth sciences | Exact sciences and technology | Earth | Climate change | Clouds | Atmosphere | Models | Atmospheric sciences | Ocean-atmosphere interaction | Climate science | GEOSCIENCES | ENVIRONMENTAL SCIENCES
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4. Full Text The two types of ENSO in CMIP5 models
by Kim, Seon Tae and Yu, Jin‐Yi
Geophysical research letters, ISSN 0094-8276, 06/2012, Volume 39, Issue 11, p. n/a
eastern‐Pacific ENSO | central‐Pacific ENSO | CMIP5 models | Geosciences, Multidisciplinary | Physical Sciences | Geology | Science & Technology | Earth, ocean, space | Earth sciences | Exact sciences and technology | Earth | Climate change | Physical oceanography | Models | Oceanography | Atmospheric sciences | Ocean-atmosphere interaction | Oscillations | Projection | Computer simulation | Pathways | Simulation | Geophysics
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5. Full Text Simulation of monsoon intra‐seasonal oscillations in Geophysical Fluid Dynamics Laboratory models from Atmospheric Model Intercomparison Project integrations of Coupled Model Intercomparison Project phase 5
by Mandke, Sujata K and Pillai, Prasanth A and Sahai, Atul Kumar
International journal of climatology, ISSN 0899-8418, 11/2020, Volume 40, Issue 13, pp. 5574 - 5589
CMIP5 | Asian summer monsoon | atmospheric general circulation model | high‐resolution atmospheric model | Intra‐seasonal variability | monsoon intra‐seasonal oscillation | AMIP | Meteorology & Atmospheric Sciences | Physical Sciences | Science & Technology | Seasonal variability | Sea surface | Wind | General circulation models | Propagation | Laboratories | Atmospheric models | Scale models | Oscillations | Surface temperature | Intercomparison | Seasonal variations | Atmospheric General Circulation Models | Tropical environment | Seasons | Atmospheric circulation | Fluid dynamics | Oceans | Computational fluid dynamics | Monsoons | Hydrodynamics | Specific humidity | Atmospheric circulation models | Summer monsoon | Geophysical fluids | Laboratory models | Advection | Simulation | Models | Resolution
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6. Full Text Predicting the severity of spurious “double ITCZ” problem in CMIP5 coupled models from AMIP simulations
by Xiang, Baoqiang and Zhao, Ming and Held, Isaac M and Golaz, Jean‐Christophe and Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Geophysical research letters, ISSN 0094-8276, 02/2017, Volume 44, Issue 3, pp. 1520 - 1527
CMIP5 | SST bias | double ITCZ | surface heat flux bias | precipitation asymmetry index | Geosciences, Multidisciplinary | Physical Sciences | Geology | Science & Technology | Atmospheric circulation | Precipitation | Simulation | Bias | Ocean temperature | Tropical meteorology | Southern Hemisphere | Climate | Oceans | Computer simulation | Atmospheric models | Polyamide-imides | Surface temperature | Climate models | Sea surface temperature | Hemispheric laterality | Heat flux | Convergence | Northern Hemisphere | Asymmetry | Atmospheric precipitations | Intertropical convergence zone | Models | Mathematical models | ENVIRONMENTAL SCIENCES
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7. Full Text Process‐based model evaluation and projections over southern Africa from Coordinated Regional Climate Downscaling Experiment and Coupled Model Intercomparison Project Phase 5 models
by Pinto, Izidine and Jack, Chris and Hewitson, Bruce
International journal of climatology, ISSN 0899-8418, 09/2018, Volume 38, Issue 11, pp. 4251 - 4261
CMIP5 | SOM | southern Africa | precipitation changes | CORDEX | Climate | Models | Climatic changes | Analysis | Evaluation | Uncertainty | Policies | General circulation models | Computer simulation | Decision making | Environmental policy | Rainfall | Climate models | Precipitation processes | Intercomparison | Climate change | Precipitation | Circulation patterns | Regional climates | Scale (ratio) | Frequency | Regional climate models | Circulation
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8. Full Text Inter‐El Niño variability in CMIP5 models: Model deficiencies and future changes
by Yun, Kyung‐Sook and Yeh, Sang‐Wook and Ha, Kyung‐Ja
Journal of geophysical research. Atmospheres, ISSN 2169-897X, 04/2016, Volume 121, Issue 8, pp. 3894 - 3906
inter‐ENSO variability | CMIP5 | model deficiency | global warming | ENSO diversity | inter-ENSO variability | Meteorology & Atmospheric Sciences | Physical Sciences | Science & Technology | Climate change | Atmospheric models | Ocean-atmosphere interaction | Ocean temperature | Meteorology | Sea surface | Climate | Variability | Correlation coefficients | Surface temperature | Coefficients | Intercomparison | Future climates | El Nino | Global warming | Correlation coefficient | Temperature anomalies | Computer simulation | Climate models | Sea surface temperature | El Nino phenomena | El Nino events | Persistence | Correlation analysis | Sea surface temperature anomalies | Models | La Nina | Equator | Anomalies | Randomness | Mathematical models
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9. Full Text How well do climate models simulate cloud vertical structure? A comparison between CALIPSO‐GOCCP satellite observations and CMIP5 models
by Cesana, G and Chepfer, H
Geophysical research letters, ISSN 0094-8276, 10/2012, Volume 39, Issue 20, pp. L20803 - n/a
CMIP5 | cloud | evaluation | CALIPSO‐GOCCP | model | COSP | Geosciences, Multidisciplinary | Physical Sciences | Geology | Science & Technology | Earth, ocean, space | Earth sciences | Exact sciences and technology | Clouds | Atmospheric sciences | Remote sensing | Climate science | Cloud cover | Seasonal variations | Computer simulation | Infrared | Lidar | Satellite observation | Climate models | Climatology | Earth Sciences | Sciences of the Universe
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10. Full Text A sea ice free summer Arctic within 30 years: An update from CMIP5 models
by Wang, Muyin and Overland, James E
Geophysical research letters, ISSN 0094-8276, 09/2012, Volume 39, Issue 18, p. n/a
CMIP5 | Arctic | climate projections | sea ice | Geosciences, Multidisciplinary | Physical Sciences | Geology | Science & Technology | Earth, ocean, space | Earth sciences | Exact sciences and technology | Earth | Climate change | Ice | Models | Oceans | Cryosphere | Intervals | Extrapolation | Geophysics | Projection | Summer | Spreads | Estimates | Sea ice
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11. Full Text Selecting CMIP5 GCMs for downscaling over multiple regions
by McSweeney, C.F and Jones, R.G and Lee, R.W and Rowell, D.P
Climate dynamics, ISSN 0930-7575, 06/2015, Volume 44, Issue 11-12, pp. 3237 - 3260
CMIP5 | Uncertainty | Ensemble design | RCM | Meteorology & Atmospheric Sciences | Physical Sciences | Science & Technology | Atmospheric circulation | Analysis | Climate models | Climate change | Regions | Climate science
Journal Article