Sentences with phrase «model intercomparison project ensemble»

This appears to be related to a poor representation of the spatial relationships between rainfall variability and zonal wind patterns across southeast Australia in the latest Coupled Model Intercomparison Project ensemble, particularly in the areas where weather systems embedded in the mid-latitude westerlies are the main source of cool - season rainfall.

Not exact matches

Here, we review the likelihood of continued changes in terrestrial climate, including analyses of the Coupled Model Intercomparison Project global climate model enseModel Intercomparison Project global climate model ensemodel ensemble.

For the work of the Montana Climate Assessment, we employed an ensemble from the fifth iteration of the Coupled Model Intercomparison Project (CMIP5), which includes up to 42 GCMs depending on the experiment conducted (CMIP5 undated).

Natural variability from the ensemble of 587 21 - year - long segments of control simulations (with constant external forcings) from 24 Coupled Model Intercomparison Project phase 3 (CMIP3) climate models is shown in black and gray.

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 fact that the Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble mean accurately represents observed global OHC changes [Cheng et al., 2016] is critical for establishing the reliability of climate models for long - term climate change projections.

Using the Coupled Model Intercomparison Project (CMIP5) ensemble, Jascha Lehmann from Germany's Potsdam Institute for Climate Impact Research and colleagues rolled climate forward to 2100 and looked at the change in storm tracks under a high carbon - dioxide - emissions scenario.

In his talk, «Statistical Emulation of Streamflow Projections: Application to CMIP3 and CMIP5 Climate Change Projections,» PCIC Lead of Hydrological Impacts, Markus Schnorbus, explored whether the streamflow projections based on a 23 - member hydrological ensemble are representative of the full range of uncertainty in streamflow projections from all of the models from the third phase of the Coupled Model Intercomparison Project.

This approach provides a hybrid assessment of the combined influence of anthropogenic climate change [determined from the ensemble - mean of the CESM - LE or from the multi-model Coupled Model Intercomparison Project phase 5 (CMIP5) archive (Taylor et al. 2012)-RSB- and observed NAO variability on climate over the coming decades.

In comparison, the Coupled Models Intercomparison Project Phase 5 (CMIP5) ensemble mean accounts for 87 % of the observed global mean temperature variance.

Alternatively, an automated procedure based on a cluster initialization algorithm is proposed and applied to changes in 27 climate extremes indices between 1986 — 2005 and 2081 — 2100 from a large ensemble of phase 5 of the Coupled Model Intercomparison Project (CMIP5) simulations.

CAS = Commission for Atmospheric Sciences CMDP = Climate Metrics and Diagnostic Panel CMIP = Coupled Model Intercomparison Project DAOS = Working Group on Data Assimilation and Observing Systems GASS = Global Atmospheric System Studies panel GEWEX = Global Energy and Water Cycle Experiment GLASS = Global Land - Atmosphere System Studies panel GOV = Global Ocean Data Assimilation Experiment (GODAE) Ocean View JWGFVR = Joint Working Group on Forecast Verification Research MJO - TF = Madden - Julian Oscillation Task Force PDEF = Working Group on Predictability, Dynamics and Ensemble Forecasting PPP = Polar Prediction Project QPF = Quantitative precipitation forecast S2S = Subseasonal to Seasonal Prediction Project SPARC = Stratospheric Processes and their Role in Climate TC = Tropical cyclone WCRP = World Climate Research Programme WCRP Grand Science Challenges • Climate Extremes • Clouds, Circulation and Climate Sensitivity • Melting Ice and Global Consequences • Regional Sea - Ice Change and Coastal Impacts • Water Availability WCRP JSC = Joint Scientific Committee WGCM = Working Group on Coupled Modelling WGSIP = Working Group on Subseasonal to Interdecadal Prediction WWRP = World Weather Research Programme YOPP = Year of Polar Prediction

Elevated sea temperatures drive impacts such as mass coral bleaching and mortality (very high confidence), with an analysis of the Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble projecting the loss of coral reefs from most sites globally by 2050 under mid to high rates of ocean warming (very likely).

Knutti et al. (2010a) investigated the behaviour of the state - of - the - art climate model ensemble created by the World Climate Research Programme's Coupled Model Intercomparison Project Phase 3 (CMIP3, Meehl et al. 2007), and found that the truth centred paradigm is incompatible with the CMIP3 ensemble: the ensemble mean does not converge to observations as the number of ensemble members increases, and the pairwise correlation of model errors (the differences between model and observation) between two ensemble members does not average to zero (Knutti et al. 2010a; Annan and Hargreaves 2010; hereafter Amodel ensemble created by the World Climate Research Programme's Coupled Model Intercomparison Project Phase 3 (CMIP3, Meehl et al. 2007), and found that the truth centred paradigm is incompatible with the CMIP3 ensemble: the ensemble mean does not converge to observations as the number of ensemble members increases, and the pairwise correlation of model errors (the differences between model and observation) between two ensemble members does not average to zero (Knutti et al. 2010a; Annan and Hargreaves 2010; hereafter AModel Intercomparison Project Phase 3 (CMIP3, Meehl et al. 2007), and found that the truth centred paradigm is incompatible with the CMIP3 ensemble: the ensemble mean does not converge to observations as the number of ensemble members increases, and the pairwise correlation of model errors (the differences between model and observation) between two ensemble members does not average to zero (Knutti et al. 2010a; Annan and Hargreaves 2010; hereafter Amodel errors (the differences between model and observation) between two ensemble members does not average to zero (Knutti et al. 2010a; Annan and Hargreaves 2010; hereafter Amodel and observation) between two ensemble members does not average to zero (Knutti et al. 2010a; Annan and Hargreaves 2010; hereafter AH10).

I also see more and more effort put into «ensembles» of various kinds: model intercomparison projects, perturbed physics ensembles, varied initial conditions, and so on (in this respect, the science seems to have changed a lot in the last few years, but that's hard for me to verify).

Analyses of phase 5 of the Coupled Model Intercomparison Project (CMIP5) multimodel ensemble of global warming simulations confirm the validity of the diagnostic method that separates the fast and slow responses.

We investigate the performance of the newest generation multi-model ensemble (MME) from the Coupled Model Intercomparison Project (CMIP5).