Alistair J. Adcroft
Geophysical Fluid Dynamics Laboratory
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Featured researches published by Alistair J. Adcroft.
Journal of Climate | 2012
John P. Dunne; Jasmin G. John; Alistair J. Adcroft; Stephen M. Griffies; Robert Hallberg; Elena Shevliakova; Ronald J. Stouffer; William F. Cooke; Krista A. Dunne; Matthew J. Harrison; John P. Krasting; Sergey Malyshev; P. C. D. Milly; Peter J. Phillipps; Lori T. Sentman; Bonita L. Samuels; Michael J. Spelman; Michael Winton; Andrew T. Wittenberg; Niki Zadeh
AbstractThe authors describe carbon system formulation and simulation characteristics of two new global coupled carbon–climate Earth System Models (ESM), ESM2M and ESM2G. These models demonstrate good climate fidelity as described in part I of this study while incorporating explicit and consistent carbon dynamics. The two models differ almost exclusively in the physical ocean component; ESM2M uses the Modular Ocean Model version 4.1 with vertical pressure layers, whereas ESM2G uses generalized ocean layer dynamics with a bulk mixed layer and interior isopycnal layers. On land, both ESMs include a revised land model to simulate competitive vegetation distributions and functioning, including carbon cycling among vegetation, soil, and atmosphere. In the ocean, both models include new biogeochemical algorithms including phytoplankton functional group dynamics with flexible stoichiometry. Preindustrial simulations are spun up to give stable, realistic carbon cycle means and variability. Significant differences...
Journal of Climate | 2012
Thomas L. Delworth; Anthony Rosati; Whit G. Anderson; Alistair J. Adcroft; V. Balaji; Rusty Benson; Keith W. Dixon; Stephen M. Griffies; Hyun-Chul Lee; R. C. Pacanowski; Gabriel A. Vecchi; Andrew T. Wittenberg; Fanrong Zeng; Rong Zhang
AbstractThe authors present results for simulated climate and climate change from a newly developed high-resolution global climate model [Geophysical Fluid Dynamics Laboratory Climate Model version 2.5 (GFDL CM2.5)]. The GFDL CM2.5 has an atmospheric resolution of approximately 50 km in the horizontal, with 32 vertical levels. The horizontal resolution in the ocean ranges from 28 km in the tropics to 8 km at high latitudes, with 50 vertical levels. This resolution allows the explicit simulation of some mesoscale eddies in the ocean, particularly at lower latitudes.Analyses are presented based on the output of a 280-yr control simulation; also presented are results based on a 140-yr simulation in which atmospheric CO2 increases at 1% yr−1 until doubling after 70 yr.Results are compared to GFDL CM2.1, which has somewhat similar physics but a coarser resolution. The simulated climate in CM2.5 shows marked improvement over many regions, especially the tropics, including a reduction in the double ITCZ and an i...
Nature Geoscience | 2013
Maxim Nikurashin; Geoffrey K. Vallis; Alistair J. Adcroft
Wind power inputs at the surface ocean are dissipated through smaller-scale processes in the ocean interior and turbulent boundary layer. Simulations suggest that seafloor topography enhances turbulent mixing and energy dissipation in the ocean interior. The ocean circulation is forced at a global scale by winds and fluxes of heat and fresh water. Kinetic energy is dissipated at much smaller scales in the turbulent boundary layers and in the ocean interior1,2, where turbulent mixing controls the transport and storage of tracers such as heat and carbon dioxide3,4. The primary site of wind power input is the Southern Ocean, where the westerly winds are aligned with the Antarctic Circumpolar Current5. The potential energy created here is converted into a vigorous geostrophic eddy field through baroclinic instabilities. The eddy energy can power mixing in the ocean interior6,7,8, but the mechanisms governing energy transfer to the dissipation scale are poorly constrained. Here we present simulations that simultaneously resolve meso- and submeso-scale motions as well as internal waves generated by topography in the Southern Ocean. In our simulations, more than 80% of the wind power input is converted from geostrophic eddies to smaller-scale motions in the abyssal ocean. The conversion is catalysed by rough, small-scale topography. The bulk of the energy is dissipated within the bottom 100u2009m of the ocean, but about 20% is radiated and dissipated away from topography in the ocean interior, where it can sustain turbulent mixing. We conclude that in the absence of rough topography, the turbulent mixing in the ocean interior would be diminished.
Journal of Geophysical Research | 2016
Alon Stern; Alistair J. Adcroft; O. Sergienko
Icebergs calved from the Antarctic continent act as moving sources of freshwater while drifting in the Southern Ocean. The lifespan of these icebergs strongly depends on their original size during calving. In order to investigate the effects (if any) of the calving size of icebergs on the Southern Ocean, we use a coupled general circulation model with an iceberg component. Iceberg calving length is varied from 62 m up to 2.3 km, which is the typical range used in climate models. Results show that increasing the size of calving icebergs leads to an increase in the westward iceberg freshwater transport around Antarctica. In simulations using larger icebergs, the reduced availability of meltwater in the Amundsen and Bellingshausen Seas suppresses the sea-ice growth in the region. In contrast, the increased iceberg freshwater transport leads to increased sea-ice growth around much of the East Antarctic coastline. These results suggest that the absence of large tabular icebergs with horizontal extent of tens of kilometers in climate models may introduces systematic biases in sea-ice formation, ocean temperatures, and salinities around Antarctica.
Journal of Climate | 2015
Angélique Mélet; Robert Hallberg; Alistair J. Adcroft; Maxim Nikurashin; Sonya Legg
AbstractInternal lee waves generated by geostrophic flows over rough topography are thought to be a significant energy sink for eddies and energy source for deep ocean mixing. The sensitivity of the energy flux into lee waves from preindustrial, present, and possible future climate conditions is explored in this study using linear theory. The bottom stratification and geostrophic velocity fields needed for the calculation of the energy flux into lee waves are provided by Geophysical Fluid Dynamics Laboratory’s global coupled ocean–ice–atmosphere model, CM2G. The unresolved mesoscale eddy energy is parameterized as a function of the large-scale available potential energy. Simulations using historical and representative concentration pathway (RCP) scenarios were performed over the 1861–2200 period. The diagnostics herein suggest a decrease of the global energy flux into lee waves on the order of 20% from preindustrial to future climate conditions under the RCP8.5 scenario. In the Southern Ocean, the energy ...
Journal of Advances in Modeling Earth Systems | 2017
A. A. Stern; Alistair J. Adcroft; O. Sergienko; G. Marques
Large tabular icebergs calved from Antarctic ice shelves have long lifetimes (due to their large size), during which they drift across large distances, altering ambient ocean circulation, bottom-water formation, sea-ice formation, and biological primary productivity in the icebergs vicinity. However, despite their importance, the current generation of ocean circulation models usually do not represent large tabular icebergs. In this study, we develop a novel framework to model large tabular icebergs submerged in the ocean. In this framework, tabular icebergs are represented by pressure-exerting Lagrangian elements that drift in the ocean. The elements are held together and interact with each other via bonds. A breaking of these bonds allows the model to emulate calving events (i.e., detachment of a tabular iceberg from an ice shelf) and tabular icebergs breaking up into smaller pieces. Idealized simulations of a calving tabular iceberg, its drift, and its breakup demonstrate capabilities of the developed framework.
Geoscientific Model Development | 2016
Stephen M. Griffies; Gokhan Danabasoglu; Paul J. Durack; Alistair J. Adcroft; Venkatramani Balaji; Claus W. Böning; Eric P. Chassignet; Enrique N. Curchitser; Julie Deshayes; Helge Drange; Baylor Fox-Kemper; Peter J. Gleckler; Jonathan M. Gregory; Helmuth Haak; Robert Hallberg; Patrick Heimbach; Helene T. Hewitt; David M. Holland; Tatiana Ilyina; Johann H. Jungclaus; Yoshiki Komuro; John P. Krasting; William G. Large; Simon J. Marsland; Simona Masina; Trevor J. McDougall; A. J. George Nurser; James C. Orr; Anna Pirani; Fangli Qiao
Geoscientific Model Development Discussions | 2016
Stephen M. Griffies; Gokhan Danabasoglu; Paul J. Durack; Alistair J. Adcroft; Venkatramani Balaji; Claus W. Böning; Eric P. Chassignet; Enrique N. Curchitser; Julie Deshayes; Helge Drange; Baylor Fox-Kemper; Peter J. Gleckler; Jonathan M. Gregory; Helmuth Haak; Robert Hallberg; Helene T. Hewitt; David M. Holland; Tatiana Ilyina; Johann H. Jungclaus; Yoshiki Komuro; John P. Krasting; William G. Large; Simon J. Marsland; Simona Masina; Trevor J. McDougall; A. J. George Nurser; James C. Orr; Anna Pirani; Fangli Qiao; Ronald J. Stouffer
Journal of Advances in Modeling Earth Systems | 2017
A. A. Stern; Alistair J. Adcroft; O. Sergienko; G. Marques
EPIC3Community White Paper for OceanObs09 | 2009
Stephen M. Griffies; Alistair J. Adcroft; H. Banks; Carmen Böning; Eric P. Chassignet; Gokhan Danabasoglu; Sergey Danilov; Eric Deleersnijder; Helge Drange; Matthew H. England; Baylor Fox-Kemper; Rüdiger Gerdes; Anand Gnanadesikan; Richard J. Greatbatch; Robert Hallberg; Emmanuel Hanert; Matthew J. Harrison; Sonya Legg; C. M. Little; Gurvan Madec; Simon J. Marsland; Maxim Nikurashin; Anna Pirani; Harper L. Simmons; Jens Schröter; Bonita L. Samuels; Anne-Marie Treguier; J. R. Toggweiler; Hiroyuki Tsujino; G. K. Valllis