A best and you may a reduced and large estimate are given having the fresh Nj-new jersey highstand investigation. The low and you may high estimate was calculated as actually sixty% and you may 150% of the finest imagine, respectively. Therefore, a knowledgeable estimate is not the midpoint of your own estimate range; the skewed mistakes was a result of having fun with foraminifera environment range since a liquids breadth sign, the newest errors at which improve that have broadening liquids breadth [ Kominz mais aussi al., 2008 ]. So you can carry out the regression, we want a symmetric mistake shipping. I determine a beneficial midpoint regarding the asymmetrical (triangular) error shipments and construct a vinyl data set having symmetric mistakes (look for Profile step one). Problems aren’t taken to this new abstract lowstand investigation [ Kominz ainsi que al., 2008 ], regardless of if lowstand mistakes could be larger than the highstand errors; right here we play with lowstand mistakes away from ±fifty m. Brand new Milligrams/Ca DST curve are computed having fun with a great adjusted regional regression from the fresh new intense investigation [ Lear mais aussi al., 2000 ]. Here we try this regression and get a blunder imagine out-of the new intense investigation. Problems with the DST research also are unevenly delivered, and you will again we do a plastic material data put with a symmetric shipment.
4.dos. Sea-level As opposed to Temperatures Crossplots
Figure 6 includes DST and Red Sea sea level data [ Siddall et al., 2003 ] compiled by Siddall et al. [2010a] . This highlights that as DSTs approach the freezing point for seawater (also highlighted in Figure 6) they show very little variation [ Siddall et al., 2010a ]. Figure 7 includes Antarctic air temperature and sea level data for the last 500 ka [ Rohling et al., 2009 ]; again the sea level data come from the Red Sea record [ Siddall et al., 2003 ; Rohling et al., 2009 ]. The proxy Antarctic air temperatures come from deuterium isotope (?D) data from EPICA Dome C [ Jouzel et al., 2007 ] and are presented as an anomaly relative to average temperature over the past 1 ka [ Rohling et al., 2009 ]. Figure 8 uses temperature data from a low-latitude SST stack from five tropical sites in the major ocean basins using the U k? 37 proxy [ Herbert et al., 2010 ] and Mg/Ca of planktic foraminifera [ Medina-Elizalde and Lea, 2005 ]. We repeat the stacking method outlined by Herbert et al. [2010 , supplementary information] but calculate temperatures as an anomaly relative to the average of the past 3 ka. Again the Plio-Pleistocene sea level data come from the Red Sea record [ Siddall et al., 2003 ; Rohling et al., 2009 ].
All of the plots of sea level against temperature exhibit a positive correlation. There is an additional component to the sea level record that may not be directly related to temperature: the change in ocean basin volume. However, it is possible that there is a common driving mechanism: decreased seafloor spreading could cause a decline in atmospheric CO2, resulting in increased basin volume (i.e., lower sea level) and decreased temperature [ Larson, 1991 ; Miller et al., 2009a ]. The sea level record may contain regional tectonic influences, which are not related to temperature change (see section 2.1). The thermal expansion gradient assuming ice-free conditions (54 http://www.datingranking.net/nl/casualdates-overzicht m above present at NJ ; Miller et al., 2005a ]) is shown on all of the plots (6, 7–8) as a guide to how much of the NJ sea level variability is likely due to thermal expansion and glacioeustasy.
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