Here, we introduce the Precipitation Driver and
Response Model Intercomparison Project (PDRMIP), where a set of idealized experiments designed to understand the role of different climate forcing mechanisms were performed by a large set of climate models.
Not exact matches
It's for this reason that it's important to understand the differences in
responses between geoengineering experiments, said Ben Kravitz, a climate modeler at the Pacific Northwest National Laboratory who helps run the international Geoengineering
Model Intercomparison Project.
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).
Analysis of simple
models and
intercomparisons of AOGCM
responses to idealised forcing scenarios suggest that, for most scenarios over the coming decades, errors in large - scale temperature projections are likely to increase in proportion to the magnitude of the overall
response.
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).
Gregory, J.M., et al., 2005: A
model intercomparison of changes in the Atlantic thermohaline circulation in
response to increasing atmospheric CO2 concentration.
Williams, K.D., et al., 2006: Evaluation of a component of the cloud
response to climate change in an
intercomparison of climate
models.
Analysis of simple
models and
intercomparisons of AOGCM
responses to idealised forcing scenarios suggest that, for most scenarios over the coming decades, errors in large - scale temperature projections are likely to increase in proportion to the magnitude of the overall
response.
This rate of increase in radiative forcing is often used in
model intercomparison studies to assess general features of
model response to such forcing.
Here seven GVMs are used to investigate possible
responses of global natural terrestrial vegetation to a major new set of future climate and atmospheric CO2 projections generated as part of the fifth phase of the Coupled
Model Intercomparison Project (CMIP5)(6), the primary climate
modeling contribution to the latest Intergovernmental Panel on Climate Change assessment.
Ocean
response to volcanic eruptions in Coupled
Model Intercomparison Project 5 simulations.
Finally, the statistical estimate for the transient climate
response falls within the range of estimates generated by climate
models run for the Coupled
Model Intercomparison Project (CMIP)(26).
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.
This forcing prescription is used to illustrate and to quantify aspects of AOGCM behaviour and provides the basis for the analysis and
intercomparison of
modelled responses to a specified forcing change (e.g., in the SAR and the CMIP2
intercomparison).