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|a Estimating the sources of global sea level rise with data assimilation techniques |h [electronic resource]. |
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|a [S.l.] : |b National Academy of Sciences, |c 2013. |
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|a Proceeding of the National Academy of Sciences. |
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|a Please contact the owning institution for licensing and permissions. It is the user's responsibility to ensure use does not violate any third party rights. |
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|a A rapidly melting ice sheet produces a distinctive geometry, or
fingerprint, of sea level (SL) change. Thus, a network of SL observationsmay,
in principle, be used to infer sources ofmeltwater flux.We
outline a formalism, based on amodified Kalman smoother, for using
tide gauge observations to estimate the individual sources of global
SL change.We also report on a series of detection experiments based
on synthetic SL data that explore the feasibility of extracting source
information from SL records. The Kalman smoother technique iteratively
calculates the maximum-likelihood estimate of Greenland ice
sheet (GIS) andWestAntarctic ice sheet (WAIS) melt at each time step,
and it accommodates data gaps while also permitting the estimation
of nonlinear trends. Our synthetic tests indicate that when all tide
gauge records are used in the analysis, it should be possible to estimate
GIS and WAIS melt rates greater than ∼0.3 and ∼0.4 mm of
equivalent eustatic sea level rise per year, respectively.We have also
implemented a multimodel Kalman filter that allows us to account
rigorously for additional contributions to SL changes and their associated
uncertainty. The multimodel filter uses 72 glacial isostatic adjustment
models and 3 ocean dynamic models to estimate the most
likely models for these processes given the synthetic observations.
We conclude that ourmodified Kalman smoother procedure provides
a powerful method for inferring melt rates in a warming world. |
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|a Electronic reproduction. |c Florida International University, |d 2015. |f (dpSobek) |n Mode of access: World Wide Web. |n System requirements: Internet connectivity; Web browser software. |
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|t Estimating the sources of global sea level rise with data assimilation techniques |
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|a dpSobek |c Sea Level Rise |
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|u http://dpanther.fiu.edu/dpService/dpPurlService/purl/FI15061938/00001 |y Click here for full text |
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|3 Host material |u http://www.pnas.org/content/110/Supplement_1/3692.full |y Estimating the sources of global sea level rise with data assimilation techniques |
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|a http://dpanther.fiu.edu/sobek/content/FI/15/06/19/38/00001/FI15061938thm.jpg |
