Sentences with phrase «of ocean general circulation models»

Using the adjoint of an ocean general circulation model, I try to understand the local and remote processes that generate temperature anomalies in the Nordic Seas on different timescales and their potential contribution to decadal climate predictability.

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.

Our general circulation model simulations, which take into account the recently observed widespread occurrence of vertically extended atmospheric brown clouds over the Indian Ocean and Asia3, suggest that atmospheric brown clouds contribute as much as the recent increase in anthropogenic greenhouse gases to regional lower atmospheric warming trends.

(Top left) Global annual mean radiative influences (W m — 2) of LGM climate change agents, generally feedbacks in glacial - interglacial cycles, but also specified in most Atmosphere - Ocean General Circulation Model (AOGCM) simulations for the LGM.

Jin, X.Z., X.H. Zhang, and T.J. Zhou, 1999: Fundamental framework and experiments of the third generation of the IAP / LASG World Ocean General Circulation Model.

Six, K.D., and E. Maier - Reimer, 1996: Effects of plankton dynamics on seasonal carbon fluxes in an ocean general circulation model.

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 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.

Diansky, N.A., and E.M. Volodin, 2002: Simulation of the present - day climate with a coupled atmosphere - ocean general circulation model.

Robertson, A.W., 2001: Influence of ocean - atmosphere interaction on the Arctic Oscillation in two general circulation models.

Schiller, A., U. Mikolajewicz, and R. Voss, 1997: The stability of the North Atlantic thermohaline circulation in a coupled ocean - atmosphere 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 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 thanmodel, 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 thanModel, 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 thanmodel, 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).

There is considerable confidence that Atmosphere - Ocean General Circulation Models (AOGCMs) provide credible quantitative estimates of future climate change, particularly at continental and larger scales.

This corresponds in scope (not un-coincidentally) to the atmospheric component of General Circulation Models (GCMs) coupled to (at least) a mixed - layer ocean.

«GCM — General Circulation Model (sometimes Global Climate Model) which includes the physics of the atmosphere and often the ocean, sea ice and land surface as well.»

A vast array of thought has been brought to bear on this problem, beginning with Arrhenius» simple energy balance calculation, continuing through Manabe's one - dimensional radiative - convective models in the 1960's, and culminating in today's comprehensive atmosphere - ocean general circulation models.

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 (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 (Model (GCM) analyzed by Ammann et al (2007) and (2) simulations of a simple Energy Balance Model (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») simulatocean - 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») simulatOcean General Circulation Model («AOGCM») simulations.

Modelling of the biological system, however, has been more challenging, and it has only been recently that primitive ecosystem models have been incorporated in global general circulation ocean models.

Development of models for the general circulation of the ocean started later, but has proceeded in a similar manner.

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.

Our general circulation model simulations, which take into account the recently observed widespread occurrence of vertically extended atmospheric brown clouds over the Indian Ocean and Asia, suggest that atmospheric brown clouds contribute as much as the recent increase in anthropogenic greenhouse gases to regional lower atmospheric warming trends.

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»

This thesis presents the results of several general circulation model simulations aimed at studying the effect of ocean circulation changes when they occur in conjunction with increased atmospheric trace gas concentrations.

«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.

An increased number of simulations using EMICs or Atmosphere - Ocean General Circulation Models (AOGCMs) that are the same as, or related to, the models used in simulations of the climates of the 20th and 21st centuries are available for these peModels (AOGCMs) that are the same as, or related to, the models used in simulations of the climates of the 20th and 21st centuries are available for these pemodels used in simulations of the climates of the 20th and 21st centuries are available for these periods.

To investigate the effects of CO2 emissions on ocean pH, we forced the Lawrence Livermore National Laboratory ocean general - circulation model (Fig. 1a) with the pressure of atmospheric CO2 (pCO2) observed from 1975 to 2000, and with CO2 emissions from the Intergovernmental Panel on Climate Change's IS92a scenario1 for 2000 — 2100.

Rowlands (2012) write, «Here we present results from a multi-thousand-member perturbed - physics ensemble of transient coupled atmosphere — ocean general circulation model simulations.

«Development of Global Coupled Ocean - Atmosphere General Circulation Models.»

People convinced as to the accuracy of AO - GCM (Atmosphere Ocean General Circulation Model) simulations may believe that these provide acceptable estimates of S, but even the IPCC does not deny the importance of observational evidence.

Although previous studies have offered a general global overview of water circulation between the oceans and land, this traditional two - region model does not take into account the considerable precipitation that occurs over tropical coastal regions, including the Indonesian maritime continent, the Indian subcontinent, and the Bay of Bengal.

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.

This project used a compiled set of emission and forcing scenarios called the Representative Concentration Pathways (RCP) to drive a group of the most complex climate available, so - called Atmosphere Ocean General Circulation Models.

The researchers, from the University of Southampton and the National Oceanography Centre of Southampton, sought to investigate the long - term fate of carbon that reaches the deep ocean, employing an ocean general circulation model to conduct particle - tracking experiments.

Here a simple biologically and physically - based model of sapflow potential is used to assess observed changes in sapflow across the Northeastern US from 1980 to 2006; document the correspondence between these observations and independent downscaled atmosphere ocean general circulation model (AOGCM) simulations of conditions during this period; and quantify changes in sapflow potential through 2100.

The fact that Wahl and Ammann (2006) admit that the results of the MBH methodology does not coincide with the results of other methods such as borehole methods and atmospheric - ocean general circulation models and that Wahl and Ammann adjust the MBH methodology to include the PC4 bristlecone / foxtail pine effects are significant reasons we believe that the Wahl and Amman paper does not convincingly demonstrate the validity of the MBH methodology.

«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 (AMcirculation 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 (AMCirculation (AMOC).»

Importantly, the changes in cereal yield projected for the 2020s and 2080s are driven by GHG - induced climate change and likely do not fully capture interannual precipitation variability which can result in large yield reductions during dry periods, as the IPCC (Christensen et al., 2007) states: ``... there is less confidence in the ability of the AOGCMs (atmosphere - ocean general circulation models) to generate interannual variability in the SSTs (sea surface temperatures) of the type known to affect African rainfall, as evidenced by the fact that very few AOGCMs produce droughts comparable in magnitude to the Sahel droughts of the 1970s and 1980s.»

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 thoscirculation 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 thosCirculation (AMOC) and temperature fluctuations with periodicities close to those observed.

Between its Second and Third Assessment Reports, the Intergovernmental Panel on Climate Change elaborated long - term greenhouse gas emissions scenarios, in part to drive global ocean - atmosphere general circulation models, and ultimately to assess the urgency of action to prevent the risk of climatic change.

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.

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.

These concern the large - scale general circulations of the atmosphere and ocean, and they are in principle represented in current comprehensive coupled climate models.

She and colleagues at the Massachusetts Institute of Technology in Cambridge, Massachusetts used the NASA GISS ocean model and the MIT General Circulation Model to simulate one of the Atlantic's major current systems that delivers absorbed heat and gases to the demodel and the MIT General Circulation Model to simulate one of the Atlantic's major current systems that delivers absorbed heat and gases to the deModel to simulate one of the Atlantic's major current systems that delivers absorbed heat and gases to the depths.

Here we present results from a multi-thousand-member perturbed - physics ensemble of transient coupled atmosphere — ocean general circulation model simulations.

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.

Coupled Atmosphere - Ocean General Circulation Models (AOGCMs) provide a representation of the climate system that is near the most comprehensive end of the spectrum currently available.