optimal ranking regime analysis of treeflow dendrohydrological reconstructions
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2015
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Abstract
The optimal ranking regime (ORR) method was used to identify 6–100-year time
windows containing significant ranking sequences in 55 western US streamflow
reconstructions, and reconstructions of the level of the Great Salt Lake and
San Francisco Bay salinity during 1500–2007. The method's ability to
identify optimally significant and non-overlapping runs of low- and
high-rankings allows it to re-express a reconstruction time series as a
simplified sequence of regime segments marking intra- to multi-decadal (IMD)
periods of low or high streamflow, lake level, and salinity. Those ORR
sequences, referred to here as Z-lines, can be plotted to identify
consistent regime patterns in the analysis of numerous reconstructions. The
Z-lines for the 57 reconstructions evaluated here show a common
pattern of IMD cycles of drought and pluvial periods during the late 16th and
17th centuries, a relatively dormant period during the 18th century, and the
reappearance of alternating dry and wet IMD periods during the 19th and early
20th centuries. Although this pattern suggests the possibility of similarly
active and inactive oceanic modes in the North Pacific and North Atlantic,
such centennial-scale patterns are not evident in the ORR analyses of
reconstructed Pacific Decadal Oscillation (PDO), El Niño–Southern
Oscillation, and North Atlantic sea-surface temperature variation. However,
given the inconsistency in the analyses of four PDO reconstructions, the
possible role of centennial-scale oceanic mechanisms is uncertain. In future
research the ORR method might be applied to climate reconstructions around
the Pacific Basin to try to resolve this uncertainty. Given its ability to
compare regime patterns in climate reconstructions derived using different
methods and proxies, the method may also be used in future research to
evaluate long-term regional temperature reconstructions.
| Reference Key |
mauget2015climateoptimal
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|---|---|
| Authors | ;S. A. Mauget |
| Journal | proceedings - 16th ieee/acis international conference on computer and information science, icis 2017 |
| Year | 2015 |
| DOI |
10.5194/cp-11-1107-2015
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| URL | |
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