Applications of proxy system modeling in high resolution paleoclimatology
Evans, Michael N.
Tolwinski-Ward, S. E.
Thompson, D. M.
Anchukaitis, Kevin J.
MetadataShow full item record
KeywordForward modeling; Observational network optimization; Data-model comparison; Hypothesis evaluation; Reconstruction; Uncertainty modeling
A proxy system model may be defined as the complete set of forward and mechanistic processes by which the response of a sensor to environmental forcing is recorded and subsequently observed in a material archive. Proxy system modeling complements and sharpens signal interpretations based solely on statistical analyses and transformations; provides the basis for observing network optimization, hypothesis testing, and data-model comparisons for uncertainty estimation; and may be incorporated as weak but mechanistically-plausible constraints into paleoclimatic reconstruction algorithms. Following a review illustrating these applications, we recommend future research pathways, including development of intermediate proxy system models for important sensors, archives, and observations; linking proxy system models to climate system models; hypothesis development and evaluation; more realistic multi-archive, multi-observation network design; examination of proxy system behavior under extreme conditions; and generalized modeling of the total uncertainty in paleoclimate reconstructions derived from paleo-observations.
© The Author(s), 2013. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Quaternary Science Reviews 76 (2013): 16-28, doi:10.1016/j.quascirev.2013.05.024.
Suggested CitationQuaternary Science Reviews 76 (2013): 16-28
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International
Showing items related by title, author, creator and subject.
Recent advances in Arctic ocean studies employing models from the Arctic Ocean Model Intercomparison Project Proshutinsky, Andrey; Aksenov, Yevgeny; Kinney, Jaclyn Clement; Gerdes, Rudiger; Golubeva, Elena; Holland, David; Holloway, Greg; Jahn, Alexandra; Johnson, Mark; Popova, Ekaterina E.; Steele, Michael; Watanabe, Eiji (Oceanography Society, 2011-09)Observational data show that the Arctic Ocean has significantly and rapidly changed over the last few decades, which is unprecedented in the observational record. Air and water temperatures have increased, sea ice volume ...
Cohesive and mixed sediment in the Regional Ocean Modeling System (ROMS v3.6) implemented in the Coupled Ocean–Atmosphere–Wave–Sediment Transport Modeling System (COAWST r1234) Sherwood, Christopher R.; Aretxabaleta, Alfredo L.; Harris, Courtney K.; Rinehimer, J. Paul; Verney, Romaric; Ferré, Bénédicte (Copernicus Publications on behalf of the European Geosciences Union, 2018-05-14)We describe and demonstrate algorithms for treating cohesive and mixed sediment that have been added to the Regional Ocean Modeling System (ROMS version 3.6), as implemented in the Coupled Ocean–Atmosphere–Wave–Sediment ...
Model behavior and sensitivity in an application of the Cohesive Bed Component of the Community Sediment Transport Modeling System for the York River estuary, VA, USA Fall, Kelsey A.; Harris, Courtney K.; Friedrichs, Carl T.; Rinehimer, J. Paul; Sherwood, Christopher R. (MDPI AG, 2014-05-19)The Community Sediment Transport Modeling System (CSTMS) cohesive bed sub-model that accounts for erosion, deposition, consolidation, and swelling was implemented in a three-dimensional domain to represent the York River ...