(Q58385535)

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On the estimation of systematic error in regression-based predictions of climate sensitivity

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On the estimation of systematic error in regression-based predictions of climate sensitivity (English)

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Benjamin M. Sanderson

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publication date

22 January 2013

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published in

Climatic Change

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volume

118

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issue

3-4

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page(s)

757-770

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exact match

https://scigraph.springernature.com/pub.10.1007/s10584-012-0671-6

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Using multiple observationally-based constraints to estimate climate sensitivity

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21 January 2018

Constraining climate forecasts: The role of prior assumptions

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21 January 2018

The equilibrium sensitivity of the Earth's temperature to radiation changes

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21 January 2018

Constraining Climate Sensitivity from the Seasonal Cycle in Surface Temperature

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21 January 2018

Quantification of modelling uncertainties in a large ensemble of climate change simulations

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21 January 2018

Toward Seamless Prediction: Calibration of Climate Change Projections Using Seasonal Forecasts

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21 January 2018

Constraints on climate change from a multi-thousand member ensemble of simulations

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21 January 2018

A Multimodel Study of Parametric Uncertainty in Predictions of Climate Response to Rising Greenhouse Gas Concentrations

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21 January 2018

Towards constraining climate sensitivity by linear analysis of feedback patterns in thousands of perturbed-physics GCM simulations

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21 January 2018

Uncertainty in predictions of the climate response to rising levels of greenhouse gases

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21 January 2018

The use of the multi-model ensemble in probabilistic climate projections

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21 January 2018

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10.1007/S10584-012-0671-6

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(Q58385535)

On the estimation of systematic error in regression-based predictions of climate sensitivity

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