pmip3:wg:var:index
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pmip3:wg:var:index [2014/06/23 10:46] brierley [Subsidiary Pages] |
pmip3:wg:var:index [2017/09/25 11:59] brierley [Actions] |
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| === Investigation into the methodology of model-data comparisons for PalaeoENSO === | === Investigation into the methodology of model-data comparisons for PalaeoENSO === | ||
| - | * Status: Publication in preparation | + | * Status: Published |
| * Contact: Julien Emile-Geay | * Contact: Julien Emile-Geay | ||
| How should one combine and contrast the different sources of information on past ENSO variability? How should one marry simulations with observations across different periods? | How should one combine and contrast the different sources of information on past ENSO variability? How should one marry simulations with observations across different periods? | ||
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| + | === How can we make it easier to study variability? === | ||
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| + | * Status: [[http://www2.geog.ucl.ac.uk/~ucfaccb/PMIPVarData|Website created]] | ||
| + | * Contact: Chris Brierley | ||
| + | |||
| + | Many people start their research by downloading lots of model data from ESFG and then computing the same diagnostics. This can be a particular hurdle for field/lab-based scientists, who are not so used to handling large model datasets. Chris has run NCAR's Climate Variability Diagnostics Package for all model simulations on the ESFG. The plots and data are available from the [[http://www2.geog.ucl.ac.uk/~ucfaccb/PMIPVarData|PMIPVarData]] website - along with some example codes to create some additional plots from the data files. | ||
| === Do simulations show additional modes of variability in the past? === | === Do simulations show additional modes of variability in the past? === | ||
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| * Contact: Chris Brierley | * Contact: Chris Brierley | ||
| - | A great advantage of palaeoclimate observations has been the discovery of unforeseen climate transitions and variability. One example of this is the discovery of millenial scale variability in glacial conditions. Currently no systematic tool exists to look for new modes of variability across palaeoclimate simulations. How could we address this? | + | A great advantage of palaeoclimate observations has been the discovery of unforeseen climate transitions and variability. One example of this is the discovery of millennial scale variability in glacial conditions. Currently no systematic tool exists to look for new modes of variability across palaeoclimate simulations. How could we address this? |
| ===== Subsidiary Topics ===== | ===== Subsidiary Topics ===== | ||
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| * [[synthesis|Synthesis]] | * [[synthesis|Synthesis]] | ||
| * [[meetings|Meetings]] | * [[meetings|Meetings]] | ||
| + | * [[data|Data for download]] | ||
| \\ \\ \\ | \\ \\ \\ | ||
pmip3/wg/var/index.txt · Last modified: 2017/10/06 15:12 by brierley
