Documentation for PISM, the Parallel Ice Sheet Model

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applications:201308 [2013/08/02 00:45]
Andy Aschwanden
applications:201308 [2013/09/03 17:34] (current)
Ed Bueler
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 [[http://​www.the-cryosphere.net/​7/​1083/​2013/​tc-7-1083-2013.html|{{ :​applications:​ts_mass_2004-2010.png?​220|}}]] [[http://​www.the-cryosphere.net/​7/​1083/​2013/​tc-7-1083-2013.html|{{ :​applications:​ts_mass_2004-2010.png?​220|}}]]
  
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 Click the image to go to the paper at The Cryosphere. Click the image to go to the paper at The Cryosphere.
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-Validation and assessment of model performance is critical, but it is notoriously-challenging in ice sheet modeling. ​ This paper couples PISM to the [[http://​www.dmi.dk/​dmi/​tr06-17.pdf|HIRHAM5 regional climate model]] for simulations of the Greenland ice sheet. 
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 | **journal**:​ | [[http://​www.the-cryosphere.net/​|The Cryosphere]] | | **journal**:​ | [[http://​www.the-cryosphere.net/​|The Cryosphere]] |
  
-The results are compared to observations in the 1989-2011 period (hindcasting),​ in which ice geometry, ice surface velocity, gravitationally-derived mass time-series,​ and surface elevation change observations are all available. ​ The simulations reproduce the seasonal signal and decadal trends in mass loss but they show deficiencies compared to observed changes in ice discharge. ​ The paper concludes that  it is important to use //​multiple//​ data sets for model validation, and it identifies rates of change of spatially-dense observations as preferred validation metrics.+Validation and assessment of model performance is critical, but it is notoriously-challenging in ice sheet modeling. ​ This paper couples PISM to the [[http://​www.dmi.dk/​dmi/​tr06-17.pdf|HIRHAM5 regional climate model]] for simulations of the Greenland ice sheet.  ​The results are compared to observations in the 1989-2011 period (hindcasting),​ in which ice geometry, ice surface velocity, gravitationally-derived mass time-series,​ and surface elevation change observations are all available. ​ The simulations reproduce the seasonal signal and decadal trends in mass loss but they show deficiencies compared to observed changes in ice discharge. ​ The paper concludes that  it is important to use //​multiple//​ data sets for model validation, and it identifies rates of change of spatially-dense observations as preferred validation metrics.
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applications/201308.txt ยท Last modified: 2013/09/03 17:34 by Ed Bueler
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