Difference between revisions of "Category:ProxySystem (L)"

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Imported from: [[imported from::core:ProxySystem]]
 
Imported from: [[imported from::core:ProxySystem]]
  
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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) [[:Category: ProxyArchive (L) |archive]]s. 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 [https://en.wikipedia.org/wiki/Time_series time series] of observations made on an archive.
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<p>Climate observations prior to the instrumental era are necessarily indirect. These observations are made on climate <b>proxies</b> 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 <b>sensing</b> a different aspect of the environment (sometimes, several aspects at once).  A paleoclimate dataset is almost always a [https://en.wikipedia.org/wiki/Time_series time series] of observations made on an archive.</p>
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<p>
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Evans et al. (2013) <sup id="cite_ref-evans2013_1-0" class="reference"><a href="#cite_note-evans2013-1">[1]</a></sup> define a proxy system as comprised of three components (Fig 1).:
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</p>
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<ul><li> 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&nbsp;: 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.  </li></ul>
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<ul><li> The <a href="#ProxyArchive" title="Category:ProxyArchive ©"> 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, δ<sup>18</sup>O, TEX86)</li></ul>
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<ul><li> [#cite_note-2 [2]]</sup>.  Furthermore, its temperature and salinity dependence is exponential <sup id="cite_ref-3" class="reference">[#cite_note-4 [4]]</sup> <sup id="cite_ref-5" class="reference">[#cite_note-6 [6]]</sup>.  </li></ul>
  
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Evans et al. (2013) <ref name="evans2013"> 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 </ref> define a proxy system as comprised of three components (Fig 1).:
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<p>These three major components may be individually modeled, and linked together within a [#cite_note-evans2013-1 [1]]</sup> <sup id="cite_ref-7" class="reference"><a href="#cite_note-7">[7]</a></sup>. Some sensors are common to multiple archives (e.g. δ<sup>18</sup>O), and all archives support more than one possible sensor.  
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</p>
  
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[[File:PSM.jpg|thumb|alt=PSM model from Evans et al. (2013)|Fig. 1: Conceptual proxy system model, after Evans et al. (2013) <ref name="evans2013" />. An archive is the medium in which the response of a sensor to environmental forcing in recorded.]]
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<h2><span class="mw-headline" id="References">References</span></h2>
  
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* The [[:Category: ProxySensor  (L)| sensor]] comprises physical, chemical, and/or biological components that react to environmental conditions. Sensors often respond to more than one environmental [[:Category:InferredVariable  (L) | 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, [[:Category:Foraminifera | foraminifera]] are an often used sensor for oceanic conditions. Multiple observations can be made on this sensor, recording different environmental [[:Category:InferredVariable  (L) | 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 [[:Category:InferredVariable  (L) | variable]] (e.g. surface, sub-surface, or thermocline temperature) they are most sensitive to.
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<ol class="references">
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<li id="cite_note-evans2013-1"><span class="mw-cite-backlink">↑ <sup>[#cite_ref-evans2013_1-1 1.1]</sup> <sup><a href="#cite_ref-evans2013_1-2">1.2</a></sup></span> <span class="reference-text"> Evans, M. N., Tolwinski-Ward, S. E., Thompson, D. M., &amp; 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 </span>
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* The [[:Category:ProxyArchive (L)| archive]] is the medium in which the response of a sensor to environmental forcing is recorded. [[:Category:MarineSediment | Marine sediments]] are a type of archive, on which many sensors and observations may be recorded (e.g. Foraminifera Mg/Ca, &delta;<sup>18</sup>O, <math> U_{37}^{k'} </math>, TEX86)
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</li>
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<li id="cite_note-2"><span class="mw-cite-backlink"><a href="#cite_ref-2"><span class="cite-accessibility-label">Jump up </span>↑</a></span> <span class="reference-text"> Khider, D., Huerta, G., Jackson, C., Stott, L. D., &amp; Emile-Geay, J. (2015). A Bayesian, multivariate calibration for Globigerinoides ruber Mg/Ca. Geochemistry Geophysics Geosystems, 16(9), 2916-2932. doi:10.1002/2015GC005844 </span>
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* [[:Category:ProxyObservation (L)| Observations]] are made on archives and are  generally referred to as "proxies". The term "proxy" used ubiquitously, and often ambiguously, throughout the paleoclimate literature, is most commonly equivalent to "sensor + observation". "Observation" is the more explicit, and thus, preferred term, however "proxy" can be treated as a synonym of "observation". For instance, [[Foraminifera Mg/Ca]] is often used to investigate past changes in sea-surface temperature but depends also on sea-surface salinity and deep-ocean carbonate saturation <ref> 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 </ref>.  Furthermore, its temperature and salinity dependence is exponential <ref> 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 </ref> <ref> 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.  
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</li>
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</ref> <ref> Kisakürek, B., Eisenhauer, A., Böhm, F., Garbe-Schönberg, 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 </ref> while its response to carbonate saturation is thresholded <ref> 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 </ref>. 
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<li id="cite_note-3"><span class="mw-cite-backlink"><a href="#cite_ref-3"><span class="cite-accessibility-label">Jump up </span>↑</a></span> <span class="reference-text"> Anand, P., Elderfield, H., &amp; 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 </span>
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</li>
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These three major components may be individually modeled, and linked together within a [[:Category: ProxySystemModel  (L)|Proxy System Model]] <ref name="evans2013" /> <ref> 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
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<li id="cite_note-4"><span class="mw-cite-backlink"><a href="#cite_ref-4"><span class="cite-accessibility-label">Jump up </span>↑</a></span> <span class="reference-text"> Lea, D. W., Mashiotta, T. A., &amp; 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. </span>
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</ref>. Some observations are common to multiple archives (e.g. &delta;<sup>18</sup>O), and some archives support more than one possible sensor.
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</li>
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<li id="cite_note-5"><span class="mw-cite-backlink"><a href="#cite_ref-5"><span class="cite-accessibility-label">Jump up </span>↑</a></span> <span class="reference-text"> Kisakürek, B., Eisenhauer, A., Böhm, F., Garbe-Schönberg, D., &amp; 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 </span>
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</li>
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<li id="cite_note-6"><span class="mw-cite-backlink"><a href="#cite_ref-6"><span class="cite-accessibility-label">Jump up </span>↑</a></span> <span class="reference-text"> Regenberg, M., Regenberg, A., Garbe-Schonberg, D., &amp; 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 </span>
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==References==
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</li>
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<references />
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<li id="cite_note-7"><span class="mw-cite-backlink"><a href="#cite_ref-7"><span class="cite-accessibility-label">Jump up </span>↑</a></span> <span class="reference-text"> Dee, S., Emile-Geay, J., Evans, M. N., Allam, A., Steig, E. J., &amp; 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</span>
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</li>
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Revision as of 15:26, 12 November 2020

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 ©"> 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, δ18O, TEX86)
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