This rate of increase in radiative forcing is often used in
model intercomparison studies to assess general features of model response to such forcing.
In addition,
model intercomparison studies do not quantify the range of uncertainty associated with a specific aerosol process, nor does this type of uncertainty analysis provide much information on which aerosol process needs improving the most.
Model intercomparison studies (e.g., Gregory et al., 2005; Rahmstorf et al., 2005; Stouffer et al., 2006) were developed to identify and understand the causes for the wide range of MOC responses in the coupled models used here (see Chapters 4, 6 and 10).
One challenge of additional complexity, recently highlighted by a land -
model intercomparison study, is that predictions are diverging as models have become more complex, rather than converging as was hoped.
Fan, S. Taguchi, P. Friedlingstein, Y. Balkanski, J. Taylor, M. Maiss, and I. Levin, 1999: Three - dimensional transport and concentration of SF6:
A model intercomparison study (TransCom 2).
Not exact matches
However, the quantitative response to freshwater inputs varies widely among
models (Stouffer et al., 2006), which led the CMIP and Paleoclimate
Modelling Intercomparison Project (PMIP) panels to design and support a set of coordinated experiments to
study this issue (http://www.gfdl.noaa.gov/~kd/CMIP.html and http://www.pmip2.cnrs-gif.fr/pmip2/design/experiments/waterhosing.shtml).
WCRP - JSC / CAS WGNE promotes co-ordinated numerical experimentation for validating
model results, observed atmospheric properties, exploring the natural and forced variability and predictability of the atmosphere, (e.g. the Atmospheric Model Intercomparison Project, AMIP), as well as studies aimed at refining numerical techniques, and the formulation of atmospheric physics proce
model results, observed atmospheric properties, exploring the natural and forced variability and predictability of the atmosphere, (e.g. the Atmospheric
Model Intercomparison Project, AMIP), as well as studies aimed at refining numerical techniques, and the formulation of atmospheric physics proce
Model Intercomparison Project, AMIP), as well as
studies aimed at refining numerical techniques, and the formulation of atmospheric physics processes.
I used to be active in the radiation field, indeed I co chaired the first ICRCCM
study (
Intercomparison of Radiation Codes for Climate
Models).
This
study utilizes both multi-ensembles of a single
model: Community Earth System Model (CESM) and multi-models in the Coupled Model Intercomparison Project phase 5 (CMIP5) arc
model: Community Earth System
Model (CESM) and multi-models in the Coupled Model Intercomparison Project phase 5 (CMIP5) arc
Model (CESM) and multi-models in the Coupled
Model Intercomparison Project phase 5 (CMIP5) arc
Model Intercomparison Project phase 5 (CMIP5) archive.
In fact, there's an entire
model intercomparison project dedicated to this area of
study.
A new
study published in Geophysical Research Letters has organized a
Model Intercomparison Project (AMOCMIP) in order to realistically consider Greenland Ice Sheet melting in state - of - the - science global climate model project
Model Intercomparison Project (AMOCMIP) in order to realistically consider Greenland Ice Sheet melting in state - of - the - science global climate
model project
model projections.
In our
study, we tested 17 recent global BC
models from an aerosol
model intercomparison group known as AeroCom against a variety of measurements.
The
study uses recently updated surface air temperature datasets assessed by the IPCC, and climate change simulations from
models participating in the fifth phase of the Coupled
Model Intercomparison Project (CMIP5).
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
To better understand these discrepancies, a recent
study published in Geophysical Research Letters investigates the drivers of changes in deep ocean circulation across a range of modern and Last Glacial Maximum (LGM, ~ 21000 years ago) climate simulations from the latest Paleoclimate
Modelling Intercomparison Project (PMIP).
WCRP - JSC / CAS WGNE promotes co-ordinated numerical experimentation for validating
model results, observed atmospheric properties, exploring the natural and forced variability and predictability of the atmosphere, (e.g. the Atmospheric Model Intercomparison Project, AMIP), as well as studies aimed at refining numerical techniques, and the formulation of atmospheric physics proce
model results, observed atmospheric properties, exploring the natural and forced variability and predictability of the atmosphere, (e.g. the Atmospheric
Model Intercomparison Project, AMIP), as well as studies aimed at refining numerical techniques, and the formulation of atmospheric physics proce
Model Intercomparison Project, AMIP), as well as
studies aimed at refining numerical techniques, and the formulation of atmospheric physics processes.
The
study uses an extensive suite of existing simulations with the Variable Infiltration Capacity (VIC) hydrologic
model driven by Coupled Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scena
model driven by Coupled
Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scena
Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn)
model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scena
model of Fraser River streamflow extremes, and subsequently applies the
model to project changes in Fraser River extremes under CMIP5 based climate change scena
model to project changes in Fraser River extremes under CMIP5 based climate change scenarios.