NDLI: Evaluation of proxy-based millennial reconstruction methods

Content Provider	Springer Nature Link
Author	Lee, Terry C. K. Zwiers, Francis W. Tsao, Min
Copyright Year	2007
Abstract	A range of existing statistical approaches for reconstructing historical temperature variations from proxy data are compared using both climate model data and real-world paleoclimate proxy data. We also propose a new method for reconstruction that is based on a state-space time series model and Kalman filter algorithm. The state-space modelling approach and the recently developed RegEM method generally perform better than their competitors when reconstructing interannual variations in Northern Hemispheric mean surface air temperature. On the other hand, a variety of methods are seen to perform well when reconstructing surface air temperature variability on decadal time scales. An advantage of the new method is that it can incorporate additional, non-temperature, information into the reconstruction, such as the estimated response to external forcing, thereby permitting a simultaneous reconstruction and detection analysis as well as future projection. An application of these extensions is also demonstrated in the paper.
Starting Page	263
Ending Page	281
Page Count	19
File Format	PDF
ISSN	09307575
Journal	Climate Dynamics
Volume Number	31
Issue Number	2-3
e-ISSN	14320894
Language	English
Publisher	Springer-Verlag
Publisher Date	2007-12-20
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Kalman filter State-space model Temperature reconstruction Oceanography Meteorology/Climatology Geophysics/Geodesy
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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