Subtask 2.4 - Integration and Synthesis in Climate Change Predictive Modeling

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The Energy & Environmental Research Center (EERC) completed a brief evaluation of the existing status of predictive modeling to assess options for integration of our previous paleohydrologic reconstructions and their synthesis with current global climate scenarios. Results of our research indicate that short-term data series available from modern instrumental records are not sufficient to reconstruct past hydrologic events or predict future ones. On the contrary, reconstruction of paleoclimate phenomena provided credible information on past climate cycles and confirmed their integration in the context of regional climate history is possible. Similarly to ice cores and other paleo proxies, acquired data represent ... continued below

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Solc, Jaroslav June 1, 2009.

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Description

The Energy & Environmental Research Center (EERC) completed a brief evaluation of the existing status of predictive modeling to assess options for integration of our previous paleohydrologic reconstructions and their synthesis with current global climate scenarios. Results of our research indicate that short-term data series available from modern instrumental records are not sufficient to reconstruct past hydrologic events or predict future ones. On the contrary, reconstruction of paleoclimate phenomena provided credible information on past climate cycles and confirmed their integration in the context of regional climate history is possible. Similarly to ice cores and other paleo proxies, acquired data represent an objective, credible tool for model calibration and validation of currently observed trends. It remains a subject of future research whether further refinement of our results and synthesis with regional and global climate observations could contribute to improvement and credibility of climate predictions on a regional and global scale.

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  • Report No.: None
  • Grant Number: FC26-08NT43291
  • DOI: 10.2172/1001342 | External Link
  • Office of Scientific & Technical Information Report Number: 1001342
  • Archival Resource Key: ark:/67531/metadc845516

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  • June 1, 2009

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • Feb. 17, 2017, 5:43 p.m.

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Solc, Jaroslav. Subtask 2.4 - Integration and Synthesis in Climate Change Predictive Modeling, report, June 1, 2009; [Grand Forks, North Dakota]. (digital.library.unt.edu/ark:/67531/metadc845516/: accessed September 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.