Literature DB >> 24043866

The PRISM (Pliocene palaeoclimate) reconstruction: time for a paradigm shift.

Harry J Dowsett1, Marci M Robinson, Danielle K Stoll, Kevin M Foley, Andrew L A Johnson, Mark Williams, Christina R Riesselman.   

Abstract

Global palaeoclimate reconstructions have been invaluable to our understanding of the causes and effects of climate change, but single-temperature representations of the oceanic mixed layer for data-model comparisons are outdated, and the time for a paradigm shift in marine palaeoclimate reconstruction is overdue. The new paradigm in marine palaeoclimate reconstruction stems the loss of valuable climate information and instead presents a holistic and nuanced interpretation of multi-dimensional oceanographic processes and responses. A wealth of environmental information is hidden within the US Geological Survey's Pliocene Research, Interpretation and Synoptic Mapping (PRISM) marine palaeoclimate reconstruction, and we introduce here a plan to incorporate all valuable climate data into the next generation of PRISM products. Beyond the global approach and focus, we plan to incorporate regional climate dynamics with emphasis on processes, integrating multiple environmental proxies wherever available in order to better characterize the mixed layer, and developing a finer time slice within the Mid-Piacenzian Age of the Pliocene, complemented by underused proxies that offer snapshots into environmental conditions. The result will be a proxy-rich, temporally nested, process-oriented approach in a digital format-a relational database with geographic information system capabilities comprising a three-dimensional grid representing the surface layer, with a plethora of data in each cell.

Keywords:  PlioMIP; Pliocene; climate; palaeoceanography; palaeoclimatology

Year:  2013        PMID: 24043866     DOI: 10.1098/rsta.2012.0524

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  6 in total

1.  Pliocene reversal of late Neogene aridification.

Authors:  J M Kale Sniderman; Jon D Woodhead; John Hellstrom; Gregory J Jordan; Russell N Drysdale; Jonathan J Tyler; Nicholas Porch
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-08       Impact factor: 11.205

2.  Mammal body size evolution in North America and Europe over 20 Myr: similar trends generated by different processes.

Authors:  Shan Huang; Jussi T Eronen; Christine M Janis; Juha J Saarinen; Daniele Silvestro; Susanne A Fritz
Journal:  Proc Biol Sci       Date:  2017-02-22       Impact factor: 5.349

Review 3.  Integrating geological archives and climate models for the mid-Pliocene warm period.

Authors:  Alan M Haywood; Harry J Dowsett; Aisling M Dolan
Journal:  Nat Commun       Date:  2016-02-16       Impact factor: 14.919

4.  Sea surface temperature of the mid-Piacenzian ocean: a data-model comparison.

Authors:  Harry J Dowsett; Kevin M Foley; Danielle K Stoll; Mark A Chandler; Linda E Sohl; Mats Bentsen; Bette L Otto-Bliesner; Fran J Bragg; Wing-Le Chan; Camille Contoux; Aisling M Dolan; Alan M Haywood; Jeff A Jonas; Anne Jost; Youichi Kamae; Gerrit Lohmann; Daniel J Lunt; Kerim H Nisancioglu; Ayako Abe-Ouchi; Gilles Ramstein; Christina R Riesselman; Marci M Robinson; Nan A Rosenbloom; Ulrich Salzmann; Christian Stepanek; Stephanie L Strother; Hiroaki Ueda; Qing Yan; Zhongshi Zhang
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

5.  On the identification of a Pliocene time slice for data-model comparison.

Authors:  Alan M Haywood; Aisling M Dolan; Steven J Pickering; Harry J Dowsett; Erin L McClymont; Caroline L Prescott; Ulrich Salzmann; Daniel J Hill; Stephen J Hunter; Daniel J Lunt; James O Pope; Paul J Valdes
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2013-09-16       Impact factor: 4.226

6.  Warm climates of the past--a lesson for the future?

Authors:  D J Lunt; H Elderfield; R Pancost; A Ridgwell; G L Foster; A Haywood; J Kiehl; N Sagoo; C Shields; E J Stone; P Valdes
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2013-09-16       Impact factor: 4.226

  6 in total

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