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| Titel |
Optimal locations of sea-level indicators in glacial isostatic adjustment investigations |
| VerfasserIn |
H. Steffen, P. Wu, H. Wang |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1869-9510
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| Digitales Dokument |
URL |
| Erschienen |
In: Solid Earth ; 5, no. 1 ; Nr. 5, no. 1 (2014-06-19), S.511-521 |
| Datensatznummer |
250115284
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| Publikation (Nr.) |
 copernicus.org/se-5-511-2014.pdf |
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| Zusammenfassung |
Fréchet (sensitivity) kernels are an important tool in glacial isostatic
adjustment (GIA) investigations to understand lithospheric thickness, mantle
viscosity and ice-load model variations. These parameters influence the
interpretation of geologic, geophysical and geodetic data, which contribute
to our understanding of global change.
We discuss global sensitivities of relative sea-level (RSL) data of the last
18 000 years. This also includes indicative RSL-like data (e.g., lake
levels) on the continents far off the coasts. We present detailed sensitivity
maps for four parameters important in GIA investigations (ice-load history,
lithospheric thickness, background viscosity, lateral viscosity variations)
for up to nine dedicated times. Assuming an accuracy of 2 m of RSL data of
all ages (based on analysis of currently available data), we highlight areas
around the world where, if the environmental conditions allowed its
deposition and survival until today, RSL data of at least this accuracy may
help to quantify the GIA modeling parameters above.
The sensitivity to ice-load history variations is the dominating pattern
covering almost the whole world before about 13 ka (calendar years before 1950). The other three
parameters show distinct patterns, but are almost everywhere overlapped by
the ice-load history pattern. The more recent the data are, the smaller the
area of possible RSL locations that could provide enough information to a
parameter. Such an area is mainly limited to the area of former glaciation,
but we also note that
when the accuracy of RSL data can be improved, e.g., from 2 m to 1 m, these
areas become larger, allowing better inference of background viscosity and
lateral heterogeneity. Although the patterns depend on the chosen models and
error limit, our results are indicative enough to outline areas where one
should look for helpful RSL data of a certain time period. Our results also
indicate that as long as the ice-load history is not sufficiently known, the
inference of lateral heterogeneities in mantle viscosity or lithospheric
thickness will be interfered by the uncertainty of the ice model. |
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