Difference between revisions of "Category:ProxySystem (L)"
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− | Climate observations prior to the instrumental era are necessarily indirect. These observations are made on climate | + | <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> |
+ | <p> | ||
+ | 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).: | ||
+ | </p> | ||
+ | <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 : 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> | ||
+ | <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> | ||
+ | <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> | ||
− | + | <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. | |
+ | </p> | ||
− | + | <h2><span class="mw-headline" id="References">References</span></h2> | |
− | + | <ol class="references"> | |
− | + | <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., & 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> | |
− | + | </li> | |
− | + | <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., & 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> | |
− | + | </li> | |
− | </ | + | <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., & 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> |
− | + | </li> | |
− | + | <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., & 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> | |
− | </ | + | </li> |
− | + | <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., & 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> | |
− | + | </li> | |
− | + | <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., & 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> | |
− | + | </li> | |
− | < | + | <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., & 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> |
+ | </li> | ||
+ | </ol> | ||
<!-- Do not edit below this unless you know what you are doing --> | <!-- Do not edit below this unless you know what you are doing --> |
Revision as of 08:26, 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)
- [#cite_note-2 [2]]</sup>. Furthermore, its temperature and salinity dependence is exponential [#cite_note-4 [4]] [#cite_note-6 [6]]. </ul>
- ↑ [#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 ↑</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 ↑</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 ↑</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 ↑</a> 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
- <a href="#cite_ref-6">Jump up ↑</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 ↑</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
- Standard Properties:
- ProxySystem.MarineSediment.Uvigerina peregrina.D18O
- ProxySystem.MarineSediment.Uvigerina senticosa.D18O
- ProxySystem.MarineSediment.Uvigirina peregrina.D13C
- ProxySystem.MarineSediment.Uvigirina peregrina.D18O
- ProxySystem.MarineSediment.WeightDefaultSensor.Weight
- ProxySystem.MarineSediment.WetBulkDensityDefaultSensor.WetBulkDensity
- ProxySystem.MarineSediment.ZrDefaultSensor.Zr
- ProxySystem.MolluskShell.Arctica islandica.D18O
- ProxySystem.Rock.DefaultSensor
- ProxySystem.Sclerosponge.Ceratoporella ceratoporella nicholsoni.D18O
- ProxySystem.Sclerosponge.Ceratoporella ceratoporella nicholsoni.Sr/Ca
- ProxySystem.Sclerosponge.Ceratoporella nicholsoni.D18O
- ProxySystem.Sclerosponge.Ceratoporella nicholsoni.Sr/Ca
- ProxySystem.Speleothem.230Th 232Th ratio uncertaintyDefaultSensor.230Th 232Th ratio uncertainty
- ProxySystem.Speleothem.230Th 232Th ratioDefaultSensor.230Th 232Th ratio
- ProxySystem.Speleothem.230Th 238U activity uncertaintyDefaultSensor.230Th 238U activity uncertainty
- ProxySystem.Speleothem.230Th 238U activityDefaultSensor.230Th 238U activity
- ProxySystem.Speleothem.230Th Age correctedDefaultSensor.230Th Age corrected
- ProxySystem.Speleothem.230Th Age uncorrectedDefaultSensor.230Th Age uncorrected
- ProxySystem.Speleothem.230Th/232ThDefaultSensor.230Th/232Th
- ProxySystem.Speleothem.230Th/238UDefaultSensor.230Th/238U
- ProxySystem.Speleothem.232Th contentDefaultSensor.232Th content
- ProxySystem.Speleothem.232Th uncertaintyDefaultSensor.232Th uncertainty
- ProxySystem.Speleothem.232ThDefaultSensor.232Th
- ProxySystem.Speleothem.238U contentDefaultSensor.238U content
- ProxySystem.Speleothem.238U uncertaintyDefaultSensor.238U uncertainty
- ProxySystem.Speleothem.238UDefaultSensor.238U
- ProxySystem.Speleothem.Age uncertaintyDefaultSensor.Age uncertainty
- ProxySystem.Speleothem.AgeDefaultSensor.Age
- ProxySystem.Speleothem.Corrected age uncerataintyDefaultSensor.Corrected age unceratainty
- ProxySystem.Speleothem.Corrected ageDefaultSensor.Corrected age
- ProxySystem.Speleothem.D18ODefaultSensor.D18O
- ProxySystem.Speleothem.D234U initialDefaultSensor.D234U initial
- ProxySystem.Speleothem.D234UDefaultSensor.D234U
- ProxySystem.Speleothem.Decay constants usedDefaultSensor.Decay constants used
- ProxySystem.Speleothem.DefaultSensor
- ProxySystem.Speleothem.DepthDefaultSensor.Depth
- ProxySystem.Speleothem.DistanceDefaultSensor.Distance
- ProxySystem.Speleothem.Is date used original modelDefaultSensor.Is date used original model
- ProxySystem.Speleothem.Max sampleDefaultSensor.Max sample
- ProxySystem.Speleothem.Min sampleDefaultSensor.Min sample
- ProxySystem.Speleothem.Modern referenceDefaultSensor.Modern reference
- ProxySystem.Wood.D18ODefaultSensor.D18O
- ProxySystem.Wood.DefaultSensor
- ProxySystem.Wood.DeltaDensityDefaultSensor.DeltaDensity
- ProxySystem.Wood.MXDDefaultSensor.MXD
- ProxySystem.Wood.ReflectanceDefaultSensor.Reflectance
- ProxySystem.Wood.TRWDefaultSensor.TRW
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. δ18O), and all archives support more than one possible sensor.
References
Category Semantics
Subcategories
This category has the following 2 subcategories, out of 2 total.
Pages in category "ProxySystem (L)"
The following 48 pages are in this category, out of 248 total.
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