Implementation of a Cloud Radiative Adjustment Method to Change the Climate Sensitivity of CAM3

Abstract and PDF report are also available on the MIT Joint Program on the Science and Policy of Global Change website (http://globalchange.mit.edu/).

Bibliographic Details
Main Authors: Sokolov, Andrei P., Monier, Erwan
Format: Technical Report
Language:en_US
Published: MIT Joint Program on the Science and Policy of Global Change 2011
Online Access:http://globalchange.mit.edu/pubs/abstract.php?publication_id=2184
http://hdl.handle.net/1721.1/66305
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author Sokolov, Andrei P.
Monier, Erwan
author_facet Sokolov, Andrei P.
Monier, Erwan
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description Abstract and PDF report are also available on the MIT Joint Program on the Science and Policy of Global Change website (http://globalchange.mit.edu/).
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spelling mit-1721.1/663052019-04-10T09:17:56Z Implementation of a Cloud Radiative Adjustment Method to Change the Climate Sensitivity of CAM3 Sokolov, Andrei P. Monier, Erwan Abstract and PDF report are also available on the MIT Joint Program on the Science and Policy of Global Change website (http://globalchange.mit.edu/). Conducting probabilistic climate projections with a particular climate model requires the ability to vary the model’s characteristics, such as its climate sensitivity. In this study, we implement and validate a method to change the climate sensitivity of the National Center for Atmospheric Research (NCAR) Community Atmosphere Model version 3 (CAM3) through a cloud radiative adjustment. Results show that the cloud radiative adjustment method does not lead to physically unrealistic changes in the model’s response to an external forcing, such as doubling CO2 concentrations or increasing sulfate aerosol concentrations. Furthermore, this method has some advantages compared to the traditional perturbed physics approach. In particular, the cloud radiative adjustment method can produce any value of climate sensitivity within the wide range of uncertainty based on the observed 20th century climate change. As a consequence, this method allows Monte Carlo type probabilistic climate forecasts to be conducted where values of uncertain parameters not only cover the whole uncertainty range, but cover it homogeneously. Unlike the perturbed physics approach which can produce several versions of a model with the same climate sensitivity but with very different regional patterns of change, the cloud radiative adjustment method can only produce one version of the model with a specific climate sensitivity. As such, a limitation of this method is that it cannot cover the full uncertainty in regional patterns of climate change. This study received support from the MIT Joint Program on the Science and Policy of Global Change, which is funded by a consortium of government, industry and foundation sponsors. 2011-10-17T19:40:13Z 2011-10-17T19:40:13Z 2011-08 Technical Report http://globalchange.mit.edu/pubs/abstract.php?publication_id=2184 http://hdl.handle.net/1721.1/66305 Report no. 204 en_US ;Report no. 204 An error occurred on the license name. An error occurred getting the license - uri. application/pdf MIT Joint Program on the Science and Policy of Global Change
spellingShingle Sokolov, Andrei P.
Monier, Erwan
Implementation of a Cloud Radiative Adjustment Method to Change the Climate Sensitivity of CAM3
title Implementation of a Cloud Radiative Adjustment Method to Change the Climate Sensitivity of CAM3
title_full Implementation of a Cloud Radiative Adjustment Method to Change the Climate Sensitivity of CAM3
title_fullStr Implementation of a Cloud Radiative Adjustment Method to Change the Climate Sensitivity of CAM3
title_full_unstemmed Implementation of a Cloud Radiative Adjustment Method to Change the Climate Sensitivity of CAM3
title_short Implementation of a Cloud Radiative Adjustment Method to Change the Climate Sensitivity of CAM3
title_sort implementation of a cloud radiative adjustment method to change the climate sensitivity of cam3
url http://globalchange.mit.edu/pubs/abstract.php?publication_id=2184
http://hdl.handle.net/1721.1/66305
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