Effects of tropical cyclones on ocean heat transport in a high resolution
coupled general circulation model.
«CMIP3 - AO» denotes twentieth century experiment by atmosphere — ocean
coupled general circulation model (GCM), and «CMIP3 - AS» denotes control experiment by atmosphere - slab ocean coupled GCM.
For the July report, we received 14 June SIO submissions from dynamical models: 5 from ice - ocean models forced by atmospheric reanalysis or other atmospheric model output (in green in Figure 3) and 9 from fully
coupled general circulation models (in blue in Figure 3).
The experiments were performed with ModelE2, a new version of the NASA Goddard Institute for Space Sciences (GISS)
coupled general circulation model that includes three different versions for the atmospheric composition components: a noninteractive version (NINT) with prescribed composition and a tuned aerosol indirect effect (AIE), the TCAD version with fully interactive aerosols, whole - atmosphere chemistry, and the tuned AIE, and the TCADI version which further includes a parameterized first indirect aerosol effect on clouds.
This coupled general circulation model includes dynamic - thermodynamics model of sea ice (LIM2) with horizontal resolution of about 1 degree.
«The authors write that «the notorious tropical bias problem in climate simulations of global
coupled general circulation models manifests itself particularly strongly in the tropical Atlantic,»... they state that «the climate bias problem is still so severe that one of the most basic features of the equatorial Atlantic Ocean — the eastward shoaling thermocline — can not be reproduced by most of the IPCC assessment report models,... as they describe it, «show that the bias in the eastern equatorial Atlantic has a major effect on sea - surface temperature (SST) response to a rapid change in the Atlantic Meridional Overturning Circulation (AMOC).»
This study evaluates the tropical intraseasonal variability, especially the fidelity of Madden - Julian oscillation (MJO) simulations, in 14
coupled general circulation models (GCMs) participating in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4).
We investigate the magnitude and nature of this climate change for the first time within a fully
coupled General Circulation Model.
The output from all the atmosphere - ice - ocean - land
coupled general circulation models (GCMs) is hosted in the Lawrence Livermore National Laboratory database.
This year we received 14 June SIO submissions from dynamical models, of which 3 were from ice - ocean models forced by atmospheric reanalysis or other atmospheric model output and 12 were from fully -
coupled general circulation models.
In the study, researchers analyzed a series of transient
Coupled General Circulation Model simulations forced by changes in greenhouse gases, orbital forcing, meltwater discharge and the ice - sheet history throughout the past 21,000 years.
Not exact matches
CMIP was established as a resource for climate modelers, providing a standard protocol for studying the output of
coupled atmosphere - ocean
general circulation models so that these models can be compared and validated.
This corresponds in scope (not un-coincidentally) to the atmospheric component of
General Circulation Models (GCMs)
coupled to (at least) a mixed - layer ocean.
In an ensemble of fully
coupled atmosphere - ocean
general circulation model (AOGCM) simulations of the late Paleocene and early Eocene, we identify such a
circulation - driven enhanced intermediate - water warming.
Hendon, H.H., 2000: Impact of air — sea
coupling on the Madden — Julian oscillation in a
general circulation model.
O'Farrell, S.P., 1998: Investigation of the dynamic sea ice component of a
coupled atmosphere sea - ice
general circulation model.
Diansky, N.A., and E.M. Volodin, 2002: Simulation of the present - day climate with a
coupled atmosphere - ocean
general circulation model.
Schiller, A., U. Mikolajewicz, and R. Voss, 1997: The stability of the North Atlantic thermohaline
circulation in a
coupled ocean - atmosphere
general circulation model.
Yu, Y., Z. Zhang, and Y. Guo, 2004: Global
coupled ocean - atmosphere
general circulation models in LASG / IAP.
Graham, R.J., et al., 2005: A performance comparison of
coupled and uncoupled versions of the Met Office seasonal prediction
general circulation model.
Knowledge of dominant scales associated with mesoscale eddies enables a better understanding of the resolution requirements for the
Coupled Model Intercomparison Project, the framework used for comparison of global coupled ocean - atmosphere general circulation
Coupled Model Intercomparison Project, the framework used for comparison of global
coupled ocean - atmosphere general circulation
coupled ocean - atmosphere
general circulation models.
The Met Office Hadley Centre (Hadley Centre for Climate Prediction and Research) climate change model, Hadley Centre
Coupled Model, version 3 (HadCM3)[53], a coupled atmosphere - ocean general circulation model, was used for the time intervals 2020, 2050 and 2080 (note these date represent a time windows of ten years either side of the time interval date, i.e. 2020 is an average of the years 2010 — 2029, 2050 for 2040 — 2059 and 2080 for 2070 — 2089), under three emission scenarios of the IPCC Special Report on Emissions Scenarios (SRES)[54]: scenario A1B (maximum energy requirements; emissions differentiated dependent on fuel sources; balance across sources), A2A (high energy requirements; emissions less than A1 / Fl) and B2A (lower energy requirements; emissions greater th
Coupled Model, version 3 (HadCM3)[53], a
coupled atmosphere - ocean general circulation model, was used for the time intervals 2020, 2050 and 2080 (note these date represent a time windows of ten years either side of the time interval date, i.e. 2020 is an average of the years 2010 — 2029, 2050 for 2040 — 2059 and 2080 for 2070 — 2089), under three emission scenarios of the IPCC Special Report on Emissions Scenarios (SRES)[54]: scenario A1B (maximum energy requirements; emissions differentiated dependent on fuel sources; balance across sources), A2A (high energy requirements; emissions less than A1 / Fl) and B2A (lower energy requirements; emissions greater th
coupled atmosphere - ocean
general circulation model, was used for the time intervals 2020, 2050 and 2080 (note these date represent a time windows of ten years either side of the time interval date, i.e. 2020 is an average of the years 2010 — 2029, 2050 for 2040 — 2059 and 2080 for 2070 — 2089), under three emission scenarios of the IPCC Special Report on Emissions Scenarios (SRES)[54]: scenario A1B (maximum energy requirements; emissions differentiated dependent on fuel sources; balance across sources), A2A (high energy requirements; emissions less than A1 / Fl) and B2A (lower energy requirements; emissions greater than B1).
This corresponds in scope (not un-coincidentally) to the atmospheric component of
General Circulation Models (GCMs)
coupled to (at least) a mixed - layer ocean.
Using a complex
coupled atmosphere - ocean
general circulation model (ECHAM5 / MPI - OM) climate response experiments with enhanced small - scale fluctuations are performed.
This term often requires additional qualification (e.g., as to whether or not the atmosphere is fully
coupled to an ocean — see «Atmosphere - Ocean
General Circulation Model»).
Recent 20 experiments with a fully
coupled atmosphere — ocean climate
general circulation model (GCM) supported this scenario (Lunt et al., 2011).
We employed two different climate model simulations: (1) the simulation of the NCAR CSM 1.4
coupled atmosphere - ocean
General Circulation Model (GCM) analyzed by Ammann et al (2007) and (2) simulations of a simple Energy Balance Model (EBM).
As noted in that post, RealClimate defines the Atlantic Multidecadal Oscillation («AMO») as, «A multidecadal (50 - 80 year timescale) pattern of North Atlantic ocean - atmosphere variability whose existence has been argued for based on statistical analyses of observational and proxy climate data, and
coupled Atmosphere - Ocean
General Circulation Model («AOGCM») simulations.
An atmospheric
general circulation model
coupled to a simple mixed layer ocean was forced with altered implied ocean heat transports during a period of increasing trace gases.
Abstract: «The patterns of time / space changes in near - surface temperature due to the separate forcing components are simulated with a
coupled atmosphere — ocean
general circulation model»
«A
General Circulation Experiment with a
Coupled Atmosphere, Ocean and Sea Ice Model.»
«Seasonal Cycle Experiments on Climate Sensitivity Due to a Doubling of CO2 with an Atmospheric
General Circulation Model
Coupled to a Simple Mixed Layer Ocean Model.»
Experiments with
coupled ocean - atmosphere
general circulation models (which represent the complexity of the climate system much more realistically than this simple model) give similar results.
Syllabus: Lecture 1: Introduction to Global Atmospheric Modelling Lecture 2: Types of Atmospheric and Climate Models Lecture 3: Energy Balance Models Lecture 4: 1D Radiative - Convective Models Lecture 5:
General Circulation Models (GCMs) Lecture 6: Atmospheric Radiation Budget Lecture 7: Dynamics of the Atmosphere Lecture 8: Parametrizations of Subgrid - Scale Physical Processes Lecture 9: Chemistry of the Atmosphere Lecture 10: Basic Methods of Solving Model Equations Lecture 11:
Coupled Chemistry - Climate Models (CCMs) Lecture 12: Applications of CCMs: Recent developments of atmospheric dynamics and chemistry Lecture 13: Applications of CCMs: Future Polar Ozone Lecture 14: Applications of CCMs: Impact of Transport Emissions Lecture 15: Towards an Earth System Model
Rowlands (2012) write, «Here we present results from a multi-thousand-member perturbed - physics ensemble of transient
coupled atmosphere — ocean
general circulation model simulations.
«Climate Sensitivity Due to Increased CO2: Experiments with a
Coupled Atmosphere and Ocean
General Circulation Model.»
«Development of Global
Coupled Ocean - Atmosphere
General Circulation Models.»
Precipitation extremes and their potential future changes were predicted using six - member ensembles of
general circulation models (GCMs) from the
Coupled Model Intercomparison Project Phase 5 (CMIP5).
The ensemble and seasonal forecast systems use a
coupled atmosphere - ocean model, which includes a simulation of the
general circulation of the ocean and the associated
coupled feedback processes that exist.
We have investigated the
coupled chemistry - climate response to projected emissions of greenhouse gases and ozone - depleting halogens over time, using the NASA GISS
general circulation model, incorporating simple chemistry.
Due to computational constraints, the equilibrium climate sensitivity in a climate model is usually estimated by running an atmospheric
general circulation model
coupled to a mixed - layer ocean model, because equilibrium climate sensitivity is largely determined by atmospheric processes.
Our proxy records are compared with climate model simulations using a
coupled atmosphere - ocean
general circulation model.
An analysis of two
coupled atmosphere - ocean
general circulation models control runs (UK Met Office HadCM3 and NOAA GFDL CM2.1) agree with the shorter and longer time - scales of Atlantic Meridional Overturning Circulation (AMOC) and temperature fluctuations with periodicities close to thos
circulation models control runs (UK Met Office HadCM3 and NOAA GFDL CM2.1) agree with the shorter and longer time - scales of Atlantic Meridional Overturning
Circulation (AMOC) and temperature fluctuations with periodicities close to thos
Circulation (AMOC) and temperature fluctuations with periodicities close to those observed.
In contrast,
general circulation models of the
coupled thermosphere and ionosphere predict dramatic responses to changing solar energy inputs (figure 4), but a lack of global datasets precludes comprehensive validation.
«The NASA Earth Exchange Global Daily Downscaled Projections (NEX - GDDP) dataset is comprised of downscaled climate scenarios for the globe that are derived from the
General Circulation Model (GCM) runs conducted under the
Coupled Model Intercomparison Project Phase 5 (CMIP5) and across two of the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs).
The response of atmospheric CO2 and climate to the reconstructed variability in solar irradiance and radiative forcing by volcanoes over the last millennium is examined by applying a
coupled physical — biogeochemical climate model that includes the Lund - Potsdam - Jena dynamic global vegetation model (LPJ - DGVM) and a simplified analogue of a
coupled atmosphere — ocean
general circulation model.
Each atmospheric version is
coupled to two different ocean
general circulation models: the Russell ocean model (GISS - E2 - R) and HYCOM (GISS - E2 - H).
This study evaluates the forecast skill of the fourth version of the Canadian
coupled ocean — atmosphere
general circulation model (CanCM4) and its model output statistics (MOS) to forecast the seasonal rainfall in Malaysia, particularly during early (October — November — December) and late (January — February — March) winter monsoon periods.
Mechoso, C. R., and and Coauthors,, 1995: The seasonal cycle over the tropical Pacific in
coupled ocean — atmosphere
general circulation models.
These concern the large - scale
general circulations of the atmosphere and ocean, and they are in principle represented in current comprehensive
coupled climate models.