Institution
Geophysical Fluid Dynamics Laboratory
Facility•Princeton, New Jersey, United States•
About: Geophysical Fluid Dynamics Laboratory is a facility organization based out in Princeton, New Jersey, United States. It is known for research contribution in the topics: Climate model & Climate change. The organization has 525 authors who have published 2432 publications receiving 264545 citations. The organization is also known as: GFDL.
Topics: Climate model, Climate change, Sea surface temperature, Tropical cyclone, Thermohaline circulation
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the first global coupled climate models to simulate and predict category 4 and 5 (Saffir-Simpson scale) tropical cyclones and their interannual variations were presented.
Abstract: As one of the first global coupled climate models to simulate and predict category 4 and 5 (Saffir–Simpson scale) tropical cyclones (TCs) and their interannual variations, the High-Resoluti...
153 citations
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TL;DR: In this article, a large ensemble simulation of the CMIP5 model 'GFDL ESM2M' that accounts for RCP8.5-projected Antarctic Ice Sheet meltwater is presented.
Abstract: Meltwater from the Antarctic Ice Sheet is projected to cause up to one metre of sea-level rise by 2100 under the highest greenhouse gas concentration trajectory (RCP8.5) considered by the Intergovernmental Panel on Climate Change (IPCC). However, the effects of meltwater from the ice sheets and ice shelves of Antarctica are not included in the widely used CMIP5 climate models, which introduces bias into IPCC climate projections. Here we assess a large ensemble simulation of the CMIP5 model ‘GFDL ESM2M’ that accounts for RCP8.5-projected Antarctic Ice Sheet meltwater. We find that, relative to the standard RCP8.5 scenario, accounting for meltwater delays the exceedance of the maximum global-mean atmospheric warming targets of 1.5 and 2 degrees Celsius by more than a decade, enhances drying of the Southern Hemisphere and reduces drying of the Northern Hemisphere, increases the formation of Antarctic sea ice (consistent with recent observations of increasing Antarctic sea-ice area) and warms the subsurface ocean around the Antarctic coast. Moreover, the meltwater-induced subsurface ocean warming could lead to further ice-sheet and ice-shelf melting through a positive feedback mechanism, highlighting the importance of including meltwater effects in simulations of future climate. Accounting for meltwater from the Antarctic Ice Sheet in simulations of global climate leads to substantial changes in future climate projections and identifies a potential feedback mechanism that exacerbates melting.
152 citations
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TL;DR: In this article, the impact of the Atlantic meridional overturning circulation (AMOC) on the lowfrequency variability of the Arctic surface air temperature (SAT) and sea ice extent is studied with a 1000-year-long segment of a control simulation of the Geophysical Fluid Dynamics Laboratory Climate Model version 2.1.
Abstract: The simulated impact of the Atlantic meridional overturning circulation (AMOC) on the low-frequency variability of the Arctic surface air temperature (SAT) and sea ice extent is studied with a 1000-year-long segment of a control simulation of the Geophysical Fluid Dynamics Laboratory Climate Model version 2.1. The simulated AMOC variations in the control simulation are found to be significantly anticorrelated with the Arctic sea ice extent anomalies and significantly correlated with the Arctic SAT anomalies on decadal time scales in the Atlantic sector of the Arctic. The maximum anticorrelation with the Arctic sea ice extent and the maximum correlation with the Arctic SAT occur when the AMOC index leads by one year. An intensification of the AMOC is associated with a sea ice decline in the Labrador, Greenland, and Barents Seas in the control simulation, with the largest change occurring in winter. The recent declining trend in the satellite-observed sea ice extent also shows a similar pattern in t...
152 citations
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TL;DR: In this article, a linear stochastic model is used to simulate the midlatitude storm tracks produced by an atmospheric GCM, and the model is tested by examining its ability to simulate other GCM integrations when the basic state is changed to the mean flow of those models, while keeping the stirring and damping unchanged.
Abstract: A linear stochastic model is used to simulate the midlatitude storm tracks produced by an atmospheric GCM. A series of six perpetual insolation/SST GCM experiments are first performed for each month. These experiments capture the ‘‘midwinter suppression’’ of the Pacific storm track in a particularly clean way. The stochastic model is constructed by linearizing the GCM about its January climatology and finding damping and stirring parameters that best reproduce that model’s eddy statistics. The model is tested by examining its ability to simulate other GCM integrations when the basic state is changed to the mean flow of those models, while keeping the stirring and damping unchanged. The stochastic model shows an impressive ability to simulate a variety of eddy statistics. It captures the midwinter suppression of the Pacific storm track qualitatively and is also capable of simulating storm track .
151 citations
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TL;DR: A cumulus parameterization based on mass fluxes, convective-scale vertical velocities, and mesoscale effects has been incorporated in an atmospheric general circulation model (GCM) as discussed by the authors.
Abstract: A cumulus parameterization based on mass fluxes, convective-scale vertical velocities, and mesoscale effects has been incorporated in an atmospheric general circulation model (GCM). Most contemporary cumulus parameterizations are based on convective mass fluxes. This parameterization augments mass fluxes with convective-scale vertical velocities as a means of providing a method for incorporating cumulus microphysics using vertical velocities at physically appropriate (subgrid) scales. Convective-scale microphysics provides a key source of material for mesoscale circulations associated with deep convection, along with mesoscale in situ microphysical processes. The latter depend on simple, parameterized mesoscale dynamics. Consistent treatment of convection, microphysics, and radiation is crucial for modeling global-scale interactions involving clouds and radiation. Thermodynamic and hydrological aspects of this parameterization in integrations of the Geophysical Fluid Dynamics Laboratory SKYHI GCM...
151 citations
Authors
Showing all 546 results
Name | H-index | Papers | Citations |
---|---|---|---|
Alan Robock | 90 | 346 | 27022 |
Isaac M. Held | 88 | 215 | 37064 |
Larry W. Horowitz | 85 | 253 | 28706 |
Gabriel A. Vecchi | 84 | 282 | 31597 |
Toshio Yamagata | 83 | 294 | 27890 |
Li Zhang | 81 | 727 | 26684 |
Ronald J. Stouffer | 80 | 153 | 56412 |
David Crisp | 79 | 328 | 18440 |
Thomas L. Delworth | 76 | 178 | 26109 |
Syukuro Manabe | 76 | 129 | 25366 |
Stephen M. Griffies | 68 | 202 | 18065 |
John Wilson | 66 | 487 | 22041 |
Arlene M. Fiore | 65 | 168 | 17368 |
John P. Dunne | 64 | 189 | 17987 |
Raymond T. Pierrehumbert | 62 | 192 | 14685 |