Recommendations for diagnosing effective radiative forcing from climate models for CMIP6

@article{Forster2016RecommendationsFD,
  title={Recommendations for diagnosing effective radiative forcing from climate models for CMIP6},
  author={Piers M. Forster and Thomas B. Richardson and Amanda C. Maycock and Christopher J. Smith and Bj{\o}rn Hallvard Samset and Gunnar Myhre and Timothy Andrews and Robert Pincus and Michael Schulz},
  journal={Journal of Geophysical Research: Atmospheres},
  year={2016},
  volume={121},
  pages={12,460 - 12,475}
}
The usefulness of previous Coupled Model Intercomparison Project (CMIP) exercises has been hampered by a lack of radiative forcing information. This has made it difficult to understand reasons for differences between model responses. Effective radiative forcing (ERF) is easier to diagnose than traditional radiative forcing in global climate models (GCMs) and is more representative of the eventual temperature response. Here we examine the different methods of computing ERF in two GCMs. We find… 

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References

SHOWING 1-10 OF 49 REFERENCES

Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models

We utilize energy budget diagnostics from the Coupled Model Intercomparison Project phase 5 (CMIP5) to evaluate the models' climate forcing since preindustrial times employing an established

The Radiative Forcing Model Intercomparison Project (RFMIP): Experimental Protocol for CMIP6

Abstract. The phrasing of the first of three questions motivating CMIP6 – “How does the Earth system respond to forcing?” – suggests that forcing is always well-known, yet the radiative forcing to

A Temporal Kernel Method to Compute Effective Radiative Forcing in CMIP5 Transient Simulations

AbstractEffective radiative forcing (ERF) is calculated as the flux change at the top of the atmosphere after allowing rapid adjustments resulting from a forcing agent, such as greenhouse gases.

On the interpretation of inter-model spread in CMIP5 climate sensitivity estimates

This study diagnoses the climate sensitivity, radiative forcing and climate feedback estimates from eleven general circulation models participating in the Fifth Phase of the Coupled Model

A new method for diagnosing radiative forcing and climate sensitivity

We describe a new method for evaluating the radiative forcing, the climate feedback parameter (W m−2 K−1) and hence the effective climate sensitivity from any GCM experiment in which the climate is

An alternative to radiative forcing for estimating the relative importance of climate change mechanisms

Radiative forcing is widely used to measure the relative efficacy of climate change mechanisms. Earlier general circulation model (GCM) experiments showed that the global‐mean radiative forcing could

Using an AGCM to Diagnose Historical Effective Radiative Forcing and Mechanisms of Recent Decadal Climate Change

AbstractAn atmospheric general circulation model is forced with observed monthly sea surface temperature and sea ice boundary conditions, as well as forcing agents that vary in time, for the period

Radiative forcing by well-mixed greenhouse gases: Estimates from climate models in the Intergovernme

The radiative effects from increased concentrations of well-mixed greenhouse gases (WMGHGs) represent the most significant and best understood anthropogenic forcing of the climate system. The most

An assessment of methods for computing radiative forcing in climate models

Because the radiative forcing is rarely computed separately when performing climate model simulations, several alternative methods have been developed to estimate both the instantaneous (or direct)

Transient climate response estimated from radiative forcing and observed temperature change

[1] Observations and simulations (using the HadCM3 AOGCM) of time-dependent twentieth-century climate change indicate a linear relationship F = rDT between radiative forcing F and global mean surface