Observations, Reanalyses and Ice Cores: A Synthesis of West Antarctic ClimateEntry ID: reusch_1066348
Abstract: This award supports a three-year effort to use nonlinear techniques to improve understanding of Antarctic climate through studies of observational and forecast model data sets; improve and extend reconstructions of past Antarctic climate from ice-core data; and reconstruct data missing from the observational records, potentially into the pre-instrumental era.
Purpose: An opportunity to improve understanding of the past, present and future climate of the Antarctic, a key component in the global climate system. Self-organizing maps (SOMs), an emerging, powerful nonlinear tool, will be used to classify free-atmosphere reanalysis data into archetypal patterns (SOM states). Feed-forward artificial neural networks (FF-ANNs) will then be trained to predict the ... preferred SOM states from ice-core data covering the instrumental era. The trained FF-ANNs will extend the reconstructions of SOM states to the full length of the ice core data, leading to long-term reconstruction of climate. Histories of surface conditions will be improved by filling data gaps in observational records using FF-ANNs and free-atmosphere reanalysis data. These records may also be extended into the pre-instrumental era using the above ice-core based reconstructions of the atmospheric circulation.
ISO Topic Category
Data Set Progress
Phone: (575) 835-5404
Email: dreusch at ees.nmt.edu
Dept of Earth & Environmental Science New Mexico Tech 801 Leroy Pl
Province or State: NM
Postal Code: 87801
Reusch, D. B., Nonlinear climatology and paleoclimatology: Capturing patterns of variability and change with self-organizing maps, Physics and Chemistry of the Earth, 35, 329-340, doi: 10.1016/j.pce.2009.09.001, 2010.
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Creation and Review Dates
DIF Creation Date: 2011-09-29
Last DIF Revision Date: 2017-08-24