An assessment of some uncertainties in using ice core S180 data to deduce past temperaturesEntry ID: ASAC_987
Abstract: This project has no actual data to archive, but several pdf copies of publications produced from this work are available for download to AAD staff only from the provided URL.
Taken from the abstracts of some of the referenced papers:
Water isotopes are commonly used as indicators of climate state even though many biases and variations in processes affecting the polar signal have not been ... quantified. Results from the Melbourne University General Circulation Model suggest the annual cycle explains half of the monthly d18O variance, and a semi-annual variation contributes more than 15 in places. Eddy moisture convergence drives gross accumulation, while stationary flux allows sublimation of 25-30% of the precipitation. Part of the monthly anomaly variance is associated with a dominant annular disturbance in the circulation. This oscillatory mode alters the character of the transport processes through changes to the preferred location and strength of baroclinic cyclones. A Rayleigh model indicates that a third of the continental d18O anomaly can be explained by temperature-dependent fractionation, while changes to the condensation give 3 times too much depletion. The residual is explained by the migration of the zone from which mid-latitude air is entrained into the polar environment by cyclonic storms. The positive phase of the annular mode is associated with an increased contribution from the near-coastal region, which enriches the continental precipitation. Such vacillation introduces bias in reconstruction using modern analogues because the spatial temperature-isotope slope is modified.
The Melbourne University spectral atmospheric general circulation model is adapted to include prediction of stable water isotopes. The new scheme performs well when the modeled d 18O of precipitation is compared to both monthly observations from a global network and high-frequency measurements from two neighbouring southern Australian sites. The associations between the modelled isotopic signal, temperature, and precipitation are examined on a variety of timescales by exploring the spatial distribution of temporal partial correlations. In contrast to the view commonly taken in palaeoclimate studies, typically less than 20% of d 18O variance can be explained by temperature changes. The association with temperature is strongest when daily data are considered while the precipitation is more important on longer (interannual) timescales. This shows that as information about individual events is lost through the averaging process, simple distillation models, which have a strong theoretical temperature dependence, become less applicable. It is suggested that reconstruction of precipitation is more reliable on timescales longer than those considered, and the temperature dependence of precipitation facilitates an association between temperature and d 18O in proxy records. The small magnitudes of the correlation coefficients suggest that direct interpretation of proxy records such as temperature, or precipitation, should proceed under utmost scrutiny because reconstruction is far more complex than the simple problem of local regression. Specifically, should strong associations with temperature or precipitation exist, it is only partially due to the henomenological covariance at the deposition site. As such, relationships used for palaeoclimate reconstruction that incorporate information about the origin and condensation history of the moisture should be encouraged in place of overly simplistic relationships that involve just local conditions.
Data Set Citation
Dataset Originator/Creator: Simmonds, I.
Dataset Title: An assessment of some uncertainties in using ice core S180 data to deduce past temperatures
Dataset Series Name: CAASM Metadata
Dataset Publisher: Australian Antarctic Data CentreOnline Resource: https://data.aad.gov.au/aadc/metadata/metadata_redirect.cfm?md=/AMD...
Start Date: 1996-09-30Stop Date: 1999-03-31
Quality Values provided in temporal and spatial coverage are approximate only.
Access Constraints PDF copies of some of the publications associated with this project are available for download to AAD staff only at the provided URL.
Use Constraints This data set conforms to the PICCCBY Attribution License
Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=ASAC_987 when using these data.
Data Set Progress
Distribution Media: HTTP
Distribution Size: 13.5 MB
Distribution Format: pdf
Role: TECHNICAL CONTACT
Phone: +61 3 9344 7216
Fax: +61 3 9344 7761
Email: simmonds at unimelb.edu.au
University of Melbourne School of Earth Sciences
Province or State: Victoria
Postal Code: 3052
Role: DIF AUTHOR
Phone: +61 3 6232 3244
Fax: +61 3 6232 3351
Email: dave.connell at aad.gov.au
Australian Antarctic Division 203 Channel Highway
Province or State: Tasmania
Postal Code: 7050
Noone, D., and I. Simmonds (1999), A three-dimensional spherical trajectory algorithm, Research Activities in Atmospheric and Oceanic Modelling, 28, WMO/TD-No. 942. H. Ritchie, Ed., World Meteorological Organization, 3.26-3.27.
Noone, D. C., and I. Simmonds (1997), Antarctic surface temperature-precipitation associations and implications for the use of ice core d18O data, Research Activities in Atmospheric and Oceanic Modelling, 25, WMO/TD-No. 792. A. Staniforth, Ed., World Meteorological Organization, 7.47-7.48.
Noone, D. C., and I. Simmonds (1997), Antarctic precipitation and implications for the interpretation of ice core isotope data., Abstracts volume, Symposium on Antarctica and Global Change: Interactions and Impacts, Hobart, Tasmania, 343, 13-18 July, 1997
Noone, D., and I. Simmonds (2000), A GCM module for tracing stable water isotopes., Research Activities in Atmospheric and Oceanic Modelling, 30, WMO/TD-No. 987. H. Ritchie, Ed., World Meteorological Organization, 4.28-4.29.
Noone, D., and I. Simmonds (2000), Synoptic disturbances, climate variability and interpretation of ice core data., Proceedings of the Sixth International Conference on Southern Hemisphere Meteorology and Oceanography, Santiago, Chile, 232-233, 3-7 April 2000. American Meteorological Society
Noone, D., and I. Simmonds (2000), Climate variability of modeled polar d18O from sensitivity to boundary conditions., Proceedings Volume, Seventh National Australian Meteorological and Oceanographic Society Conference, 89, (Australian Meteorological and Oceanographic Society Publication Number 16), Melbourne, Australia, 7-9 February, 2000
Noone, D., and I. Simmonds (2000), Reassessing the stable water isotope record in understanding past climate., Geological Society of Australia, Abstracts No. 62. M. Purss, Ed., Geological Society of Australia, 4
Noone, D., and I. Simmonds (2004), Sea ice control of water isotope transport to Antarctica and implications for ice core interpretation., Journal of Geophysical Research, 109, D07105, doi:doi:10.1029/2003JD004228
Noone, D., and I. Simmonds (2002), Associations between d18O of water and climate parameters in a simulation of atmospheric circulation for 1979-95., Journal of Climate, 15, 3150-3169
Noone, D., and I. Simmonds (1998), Implications for the interpretation of ice-core isotope data from analysis of modelled Antarctic precipitation., Annals of Glaciology, 27, 398-402
Noone, D., and I. Simmonds, 2002: Annular variations in moisture transport mechanisms and the abundance of ?18O in Antarctic snow. Journal of Geophysical Research, 107, 4742, doi: 10.1029/2002JD002262.
Noone, D., and I. Simmonds (2002), Annular variations in moisture transport mechanisms and the abundance of d18O in Antarctic snow., Journal of Geophysical Research, 107, 4742, doi:doi: 10.1029/2002JD002262
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2011-11-27
Last DIF Revision Date: 2018-07-10