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Dive into the research topics where Andrew T. Wittenberg is active.

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Featured researches published by Andrew T. Wittenberg.


Journal of Climate | 2006

GFDL's CM2 global coupled climate models. Part I: Formulation and simulation characteristics

Thomas L. Delworth; Anthony J. Broccoli; Anthony Rosati; Ronald J. Stouffer; V. Balaji; John A. Beesley; William F. Cooke; Keith W. Dixon; John P. Dunne; Krista A. Dunne; Jeffrey W. Durachta; Kirsten L. Findell; Paul Ginoux; Anand Gnanadesikan; C. T. Gordon; Stephen M. Griffies; Rich Gudgel; Matthew J. Harrison; Isaac M. Held; Richard S. Hemler; Larry W. Horowitz; Stephen A. Klein; Thomas R. Knutson; Paul J. Kushner; Amy R. Langenhorst; Hyun-Chul Lee; Shian Jiann Lin; Jian Lu; Sergey Malyshev; P. C. D. Milly

Abstract The formulation and simulation characteristics of two new global coupled climate models developed at NOAAs Geophysical Fluid Dynamics Laboratory (GFDL) are described. The models were designed to simulate atmospheric and oceanic climate and variability from the diurnal time scale through multicentury climate change, given our computational constraints. In particular, an important goal was to use the same model for both experimental seasonal to interannual forecasting and the study of multicentury global climate change, and this goal has been achieved. Two versions of the coupled model are described, called CM2.0 and CM2.1. The versions differ primarily in the dynamical core used in the atmospheric component, along with the cloud tuning and some details of the land and ocean components. For both coupled models, the resolution of the land and atmospheric components is 2° latitude × 2.5° longitude; the atmospheric model has 24 vertical levels. The ocean resolution is 1° in latitude and longitude, wi...


Nature | 2006

Weakening of tropical Pacific atmospheric circulation due to anthropogenic forcing

Gabriel A. Vecchi; Brian J. Soden; Andrew T. Wittenberg; Isaac M. Held; Ants Leetmaa; Matthew J. Harrison

Since the mid-nineteenth century the Earths surface has warmed, and models indicate that human activities have caused part of the warming by altering the radiative balance of the atmosphere. Simple theories suggest that global warming will reduce the strength of the mean tropical atmospheric circulation. An important aspect of this tropical circulation is a large-scale zonal (east–west) overturning of air across the equatorial Pacific Ocean—driven by convection to the west and subsidence to the east—known as the Walker circulation. Here we explore changes in tropical Pacific circulation since the mid-nineteenth century using observations and a suite of global climate model experiments. Observed Indo-Pacific sea level pressure reveals a weakening of the Walker circulation. The size of this trend is consistent with theoretical predictions, is accurately reproduced by climate model simulations and, within the climate models, is largely due to anthropogenic forcing. The climate model indicates that the weakened surface winds have altered the thermal structure and circulation of the tropical Pacific Ocean. These results support model projections of further weakening of tropical atmospheric circulation during the twenty-first century.


Journal of Climate | 2011

The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3

Leo J. Donner; Bruce Wyman; Richard S. Hemler; Larry W. Horowitz; Yi Ming; Ming Zhao; Jean-Christophe Golaz; Paul Ginoux; Shian-Jiann Lin; M. Daniel Schwarzkopf; John Austin; Ghassan Alaka; William F. Cooke; Thomas L. Delworth; Stuart M. Freidenreich; Charles T. Gordon; Stephen M. Griffies; Isaac M. Held; William J. Hurlin; Stephen A. Klein; Thomas R. Knutson; Amy R. Langenhorst; Hyun-Chul Lee; Yanluan Lin; Brian I. Magi; Sergey Malyshev; P. C. D. Milly; Vaishali Naik; Mary Jo Nath; Robert Pincus

AbstractThe Geophysical Fluid Dynamics Laboratory (GFDL) has developed a coupled general circulation model (CM3) for the atmosphere, oceans, land, and sea ice. The goal of CM3 is to address emerging issues in climate change, including aerosol–cloud interactions, chemistry–climate interactions, and coupling between the troposphere and stratosphere. The model is also designed to serve as the physical system component of earth system models and models for decadal prediction in the near-term future—for example, through improved simulations in tropical land precipitation relative to earlier-generation GFDL models. This paper describes the dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component (AM3) of this model. Relative to GFDL AM2, AM3 includes new treatments of deep and shallow cumulus convection, cloud droplet activation by aerosols, subgrid variability of stratiform vertical velocities for droplet activation, and atmospheric chemistry driven by emiss...


Journal of Climate | 2012

GFDL’s ESM2 Global Coupled Climate–Carbon Earth System Models. Part I: Physical Formulation and Baseline Simulation Characteristics

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 | 2010

Global Warming Pattern Formation: Sea Surface Temperature and Rainfall*

Shang-Ping Xie; Clara Deser; Gabriel A. Vecchi; Jian Ma; Haiyan Teng; Andrew T. Wittenberg

Abstract Spatial variations in sea surface temperature (SST) and rainfall changes over the tropics are investigated based on ensemble simulations for the first half of the twenty-first century under the greenhouse gas (GHG) emission scenario A1B with coupled ocean–atmosphere general circulation models of the Geophysical Fluid Dynamics Laboratory (GFDL) and National Center for Atmospheric Research (NCAR). Despite a GHG increase that is nearly uniform in space, pronounced patterns emerge in both SST and precipitation. Regional differences in SST warming can be as large as the tropical-mean warming. Specifically, the tropical Pacific warming features a conspicuous maximum along the equator and a minimum in the southeast subtropics. The former is associated with westerly wind anomalies whereas the latter is linked to intensified southeast trade winds, suggestive of wind–evaporation–SST feedback. There is a tendency for a greater warming in the northern subtropics than in the southern subtropics in accordance ...


Bulletin of the American Meteorological Society | 2009

UNDERSTANDING EL NIÑO IN OCEAN-ATMOSPHERE GENERAL CIRCULATION MODELS Progress and Challenges

Eric Guilyardi; Andrew T. Wittenberg; Alexey V. Fedorov; Matthew D. Collins; Chunzai Wang; Geert Jan van Oldenborgh; Tim Stockdale

Determining how El Nino and its impacts may change over the next 10 to 100 years remains a difficult scientific challenge. Ocean-atmosphere coupled general circulation models (CGCMs) are routinely used both to analyze El Nino mechanisms and teleconnections and to predict its evolution on a broad range of time scales, from seasonal to centennial. The ability to simulate El Nino as an emergent property of these models has largely improved over the last few years. Nevertheless, the diversity of model simulations of present-day El Nino indicates current limitations in our ability to model this climate phenomenon and to anticipate changes in its characteristics. A review of the several factors that contribute to this diversity, as well as potential means to improve the simulation of El Nino, is presented.


Journal of Climate | 2012

Simulated Climate and Climate Change in the GFDL CM2.5 High-Resolution Coupled Climate Model

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...


Journal of Climate | 2006

GFDL's CM2 Global Coupled Climate Models. Part III: Tropical Pacific Climate and ENSO

Andrew T. Wittenberg; Anthony Rosati; Ngar-Cheung Lau; Jeffrey J. Ploshay

Abstract Multicentury integrations from two global coupled ocean–atmosphere–land–ice models [Climate Model versions 2.0 (CM2.0) and 2.1 (CM2.1), developed at the Geophysical Fluid Dynamics Laboratory] are described in terms of their tropical Pacific climate and El Nino–Southern Oscillation (ENSO). The integrations are run without flux adjustments and provide generally realistic simulations of tropical Pacific climate. The observed annual-mean trade winds and precipitation, sea surface temperature, surface heat fluxes, surface currents, Equatorial Undercurrent, and subsurface thermal structure are well captured by the models. Some biases are evident, including a cold SST bias along the equator, a warm bias along the coast of South America, and a westward extension of the trade winds relative to observations. Along the equator, the models exhibit a robust, westward-propagating annual cycle of SST and zonal winds. During boreal spring, excessive rainfall south of the equator is linked to an unrealistic rever...


Journal of Climate | 2006

GFDL's CM2 Global Coupled Climate Models. Part II: The Baseline Ocean Simulation

Anand Gnanadesikan; Keith W. Dixon; Stephen M. Griffies; V. Balaji; Marcelo Barreiro; J. Anthony Beesley; William F. Cooke; Thomas L. Delworth; Rüdiger Gerdes; Matthew J. Harrison; Isaac M. Held; William J. Hurlin; Hyun-Chul Lee; Zhi Liang; Giang Nong; R. C. Pacanowski; Anthony Rosati; Joellen L. Russell; Bonita L. Samuels; Qian Song; Michael J. Spelman; Ronald J. Stouffer; Colm Sweeney; Gabriel A. Vecchi; Michael Winton; Andrew T. Wittenberg; Fanrong Zeng; Rong Zhang; John P. Dunne

The current generation of coupled climate models run at the Geophysical Fluid Dynamics Laboratory (GFDL) as part of the Climate Change Science Program contains ocean components that differ in almost every respect from those contained in previous generations of GFDL climate models. This paper summarizes the new physical features of the models and examines the simulations that they produce. Of the two new coupled climate model versions 2.1 (CM2.1) and 2.0 (CM2.0), the CM2.1 model represents a major improvement over CM2.0 in most of the major oceanic features examined, with strikingly lower drifts in hydrographic fields such as temperature and salinity, more realistic ventilation of the deep ocean, and currents that are closer to their observed values. Regional analysis of the differences between the models highlights the importance of wind stress in determining the circulation, particularly in the Southern Ocean. At present, major errors in both models are associated with Northern Hemisphere Mode Waters and outflows from overflows, particularly the Mediterranean Sea and Red Sea.


Monthly Weather Review | 2007

System design and evaluation of coupled ensemble data assimilation for global oceanic climate studies

Shaoqing Zhang; Matthew J. Harrison; Anthony Rosati; Andrew T. Wittenberg

Abstract A fully coupled data assimilation (CDA) system, consisting of an ensemble filter applied to the Geophysical Fluid Dynamics Laboratory’s global fully coupled climate model (CM2), has been developed to facilitate the detection and prediction of seasonal-to-multidecadal climate variability and climate trends. The assimilation provides a self-consistent, temporally continuous estimate of the coupled model state and its uncertainty, in the form of discrete ensemble members, which can be used directly to initialize probabilistic climate forecasts. Here, the CDA is evaluated using a series of perfect model experiments, in which a particular twentieth-century simulation—with temporally varying greenhouse gas and natural aerosol radiative forcings—serves as a “truth” from which observations are drawn, according to the actual ocean observing network for the twentieth century. These observations are then assimilated into a coupled model ensemble that is subjected only to preindustrial forcings. By examining...

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Fanrong Zeng

Geophysical Fluid Dynamics Laboratory

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Anthony Rosati

National Oceanic and Atmospheric Administration

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Thomas L. Delworth

Geophysical Fluid Dynamics Laboratory

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Stephen M. Griffies

National Oceanic and Atmospheric Administration

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Whit G. Anderson

Geophysical Fluid Dynamics Laboratory

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Fei-Fei Jin

University of Hawaii at Manoa

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Keith W. Dixon

National Oceanic and Atmospheric Administration

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