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[1] Ensemble simulations have been performed with a climate model constrained to follow temperature histories obtained from a recent compilation of 56 well‐calibrated surface temperature proxy records, using a new data assimilation technique. First, we demonstrate that the data assimilation techniqu...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.408.223 2023-05-15T17:34:08+02:00 Click Here for Full Article The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.223 http://www.meteo.psu.edu/holocene/public_html/shared/articles/GoosseetalJGR10.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.223 http://www.meteo.psu.edu/holocene/public_html/shared/articles/GoosseetalJGR10.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.meteo.psu.edu/holocene/public_html/shared/articles/GoosseetalJGR10.pdf text ftciteseerx 2016-01-08T03:09:12Z [1] Ensemble simulations have been performed with a climate model constrained to follow temperature histories obtained from a recent compilation of 56 well‐calibrated surface temperature proxy records, using a new data assimilation technique. First, we demonstrate that the data assimilation technique provides a faithful representation in the Northern Hemisphere of the signal recorded by the climate proxies at both the regional and gridbox scales. Second, by varying the external forcing, the parameters of the data assimilation method, and the parameters controlling the equilibrium climate sensitivity of the climate model, we demonstrate that the uncertainty in model results is much lower in simulations using data assimilation than in those without it. This observation implies that the data assimilation, using a set of 56 proxies, is providing an efficient and robust constraint on the simulated climate variability over the past centuries. At the hemispheric and continental scales, the model reconstructions using data assimilation are in good agreement with both the instrumental record of the past 150 years and reconstructions of climate in past centuries derived from the application of traditional statistical approaches to networks of proxy data. This increases the confidence in both the data assimilation and traditional statistical approaches. Our data assimilation method, however, is unable to provide a reliable reconstruction over the North Atlantic Ocean, which we attribute to the paucity of proxy data in that region. Text North Atlantic Unknown |
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[1] Ensemble simulations have been performed with a climate model constrained to follow temperature histories obtained from a recent compilation of 56 well‐calibrated surface temperature proxy records, using a new data assimilation technique. First, we demonstrate that the data assimilation technique provides a faithful representation in the Northern Hemisphere of the signal recorded by the climate proxies at both the regional and gridbox scales. Second, by varying the external forcing, the parameters of the data assimilation method, and the parameters controlling the equilibrium climate sensitivity of the climate model, we demonstrate that the uncertainty in model results is much lower in simulations using data assimilation than in those without it. This observation implies that the data assimilation, using a set of 56 proxies, is providing an efficient and robust constraint on the simulated climate variability over the past centuries. At the hemispheric and continental scales, the model reconstructions using data assimilation are in good agreement with both the instrumental record of the past 150 years and reconstructions of climate in past centuries derived from the application of traditional statistical approaches to networks of proxy data. This increases the confidence in both the data assimilation and traditional statistical approaches. Our data assimilation method, however, is unable to provide a reliable reconstruction over the North Atlantic Ocean, which we attribute to the paucity of proxy data in that region. |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.223 http://www.meteo.psu.edu/holocene/public_html/shared/articles/GoosseetalJGR10.pdf |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.223 http://www.meteo.psu.edu/holocene/public_html/shared/articles/GoosseetalJGR10.pdf |
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