Category:ProxySystem (L)

Category: ProxySystem (L) [1]

Imported from: core:ProxySystem (core | Linked Earth Core)

Climate observations prior to the instrumental era are necessarily indirect. These observations are made on climate proxies in various geological (e.g. lake or marine sediments, living or fossil coral reefs, cave deposits), glaciological (ice cores or snow pits) or biological (trees) archives. Many types of data can often be collected from each archives, each sensing a different aspect of the environment (sometimes, several aspects at once). A paleoclimate dataset is almost always a time series of observations made on an archive.

Evans et al. (2013) ^{<a href="#cite_note-evans2013-1">[1]</a>} define a proxy system as comprised of three components (Fig 1).:

The [#InferredVariable" title="Category:InferredVariable variable], and may have complex responses to the environment they sense, including thresholds (record only part of the range of environmental conditions), seasonal biases (record environmental conditions over a few months of the year), and/or nonlinear responses. For instance, [#InferredVariable" title="Category:InferredVariable variables]. Similarly, picking foraminifera of a given species to conduct the measurements is part of the observation process, though it does affect the sensor definition : the habitat of these forams determines with environmental <a href="#InferredVariable" title="Category:InferredVariable"> variable</a> (e.g. surface, sub-surface, or thermocline temperature) they are most sensitive to.

The <a href="#ProxyArchive" title="Category:ProxyArchive Â©"> archive</a> is the medium in which the response of a sensor to environmental forcing is recorded. Marine sediments are a type of archive, on which many sensors and observations may be recorded (e.g. Foraminifera Mg/Ca, Î´¹⁸O, TEX86)

[#cite_note-2 [2]]</sup>. Furthermore, its temperature and salinity dependence is exponential ^{[#cite_note-4 [4]]} ^{[#cite_note-6 [6]]}.

These three major components may be individually modeled, and linked together within a [#cite_note-evans2013-1 [1]]</sup> ^{<a href="#cite_note-7">[7]</a>}. Some sensors are common to multiple archives (e.g. Î´¹⁸O), and all archives support more than one possible sensor.

References

â†‘ ^{[#cite_ref-evans2013_1-1 1.1]} ^{<a href="#cite_ref-evans2013_1-2">1.2</a>} Evans, M. N., Tolwinski-Ward, S. E., Thompson, D. M., & Anchukaitis, K. J. (2013). Applications of proxy system modeling in high resolution paleoclimatology. Quaternary Science Reviews, 76, 16-28. doi:10.1016/j.quascirev.2013.05.024
<a href="#cite_ref-2">Jump up â†‘</a> Khider, D., Huerta, G., Jackson, C., Stott, L. D., & Emile-Geay, J. (2015). A Bayesian, multivariate calibration for Globigerinoides ruber Mg/Ca. Geochemistry Geophysics Geosystems, 16(9), 2916-2932. doi:10.1002/2015GC005844
<a href="#cite_ref-3">Jump up â†‘</a> Anand, P., Elderfield, H., & Conte, M. H. (2003). Calibration of Mg/Ca thermometry in planktonic foraminifera from a sediment trap time series. Paleoceanography, 18(2), 1050. doi:10.1029/2002PA000846
<a href="#cite_ref-4">Jump up â†‘</a> Lea, D. W., Mashiotta, T. A., & Spero, H. J. (1999). Controls on magnesium and strontium uptake in planktonic foraminifera determined by live culturing. Geochimica et cosmochimica acta, 63(16), 2369-2379.
<a href="#cite_ref-5">Jump up â†‘</a> KisakÃ¼rek, B., Eisenhauer, A., BÃ¶hm, F., Garbe-SchÃ¶nberg, D., & Erez, J. (2008). Controls on shell Mg/Ca and Sr/Ca in cultured planktonic foraminiferan, Globigeriniodes ruber (white). Earth and Planetary Science Letters, 273, 260-269. doi:10.1016/j.epsl.2008.06.026
<a href="#cite_ref-6">Jump up â†‘</a> Regenberg, M., Regenberg, A., Garbe-Schonberg, D., & Lea, D. W. (2014). Global dissolution effects on planktonic foraminiferal Mg/Ca ratios controlled by the calcite-saturation state of bottom waters. Paleoceanography, 29, 127-142. doi:10.1002/2013PA002492
<a href="#cite_ref-7">Jump up â†‘</a> Dee, S., Emile-Geay, J., Evans, M. N., Allam, A., Steig, E. J., & Thompson, D. M. (2015). PRYSM: An open-source framework for PRoxy System Modeling, with applications to oxygen-isotope systems. Journal of Advances in Modeling Earth Systems, 7, 1220-1247. doi:10.1002/2015MS000447

Category Semantics

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Subcategories

This category has the following 2 subcategories, out of 2 total.

C

ChronProxySystem (L)

P

PaleoProxySystem (L)

Pages in category "ProxySystem (L)"

The following 200 pages are in this category, out of 248 total.

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[evans2013-1] â†‘ ^{[#cite_ref-evans2013_1-1 1.1]} ^{<a href="#cite_ref-evans2013_1-2">1.2</a>} Evans, M. N., Tolwinski-Ward, S. E., Thompson, D. M., & Anchukaitis, K. J. (2013). Applications of proxy system modeling in high resolution paleoclimatology. Quaternary Science Reviews, 76, 16-28. doi:10.1016/j.quascirev.2013.05.024

[2] <a href="#cite_ref-2">Jump up â†‘</a> Khider, D., Huerta, G., Jackson, C., Stott, L. D., & Emile-Geay, J. (2015). A Bayesian, multivariate calibration for Globigerinoides ruber Mg/Ca. Geochemistry Geophysics Geosystems, 16(9), 2916-2932. doi:10.1002/2015GC005844

[3] <a href="#cite_ref-3">Jump up â†‘</a> Anand, P., Elderfield, H., & Conte, M. H. (2003). Calibration of Mg/Ca thermometry in planktonic foraminifera from a sediment trap time series. Paleoceanography, 18(2), 1050. doi:10.1029/2002PA000846

[4] <a href="#cite_ref-4">Jump up â†‘</a> Lea, D. W., Mashiotta, T. A., & Spero, H. J. (1999). Controls on magnesium and strontium uptake in planktonic foraminifera determined by live culturing. Geochimica et cosmochimica acta, 63(16), 2369-2379.

[5] <a href="#cite_ref-5">Jump up â†‘</a> KisakÃ¼rek, B., Eisenhauer, A., BÃ¶hm, F., Garbe-SchÃ¶nberg, D., & Erez, J. (2008). Controls on shell Mg/Ca and Sr/Ca in cultured planktonic foraminiferan, Globigeriniodes ruber (white). Earth and Planetary Science Letters, 273, 260-269. doi:10.1016/j.epsl.2008.06.026

[6] <a href="#cite_ref-6">Jump up â†‘</a> Regenberg, M., Regenberg, A., Garbe-Schonberg, D., & Lea, D. W. (2014). Global dissolution effects on planktonic foraminiferal Mg/Ca ratios controlled by the calcite-saturation state of bottom waters. Paleoceanography, 29, 127-142. doi:10.1002/2013PA002492

[7] <a href="#cite_ref-7">Jump up â†‘</a> Dee, S., Emile-Geay, J., Evans, M. N., Allam, A., Steig, E. J., & Thompson, D. M. (2015). PRYSM: An open-source framework for PRoxy System Modeling, with applications to oxygen-isotope systems. Journal of Advances in Modeling Earth Systems, 7, 1220-1247. doi:10.1002/2015MS000447

Category:ProxySystem (L)