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Title: | Evaluating model outputs using integrated global speleothem records of climate change since the last glacial | Authors: | Comas-Bru, Laia Harrison, Sandy P. Werner, Martin Rehfeld, Kira Scroxton, Nick Veiga-Pires, Cristina Ahmad, Syed Masood Brahim, Yassine Ait Mozhdehi, Sahar Amirnezhad Arienzo, Monica Atsawawaranunt, Kamolphat Baker, Andy Braun, Kerstin Breitenbach, Sebastian Burstyn, Yuval Chawchai, Sakonvan Columbu, Andrea Deininger, Michael Demény, Attila Dixon, Bronwyn Hatvani, István Gábor Hu, Jun Kaushal, Nikita Kern, Zoltán Labuhn, Inga Lachniet, Matthew S. Lechleitner, Franziska A. Lorrey, Andrew Markowska, Monika Nehme, Carole Novello, Valdir F. Oster, Jessica Pérez-Mejías, Carlos Pickering, Robyn Sekhon, Natasha Wang, Xianfeng Warken, Sophie Atkinson, Tim Ayalon, Avner Baldini, James Bar-Matthews, Miryam Bernal, Juan Pablo Boch, Ronny Borsato, Andrea Boyd, Meighan Brierley, Chris Cai, Yanjun Carolin, Stacy Cheng, Hai Constantin, Silviu Couchoud, Isabelle Cruz, Francisco Denniston, Rhawn Dragusin, Virgil Duan, Wuhui Ersek, Vasile Finné, Martin Fleitmann, Dominik Fohlmeister, Jens Frappier, Amy Genty, Dominique Holzkämper, Steffen Hopley, Philip Johnston, Vanessa Kathayat, Gayatri Keenan-Jones, Duncan Koltai, Gabriella Li, Ting-Yong Lone, Mahjoor Ahmad Luetscher, Marc Mattey, Dave Moreno, Ana Moseley, Gina Psomiadis, David Ruan, Jiaoyang Scholz, Denis Sha, Lijuan Smith, Andrew Christopher Strikis, Nicolás Treble, Pauline Ünal-Imer, Ezgi Vaks, Anton Vansteenberge, Stef Voarintsoa, Ny Riavo G. Wong, Corinne Wortham, Barbara Wurtzel, Jennifer Zhang, Haiwei |
Keywords: | Science::Geology | Issue Date: | 2019 | Source: | Comas-Bru, L., Harrison, S. P., Werner, M., Rehfeld, K., Scroxton, N., Velga-Pires, C., . . . Zhang, H. (2019). Evaluating model outputs using integrated global speleothem records of climate change since the last glacial. Climate of the Past, 15(4), 1557-1579. doi:10.5194/cp-15-1557-2019 | Journal: | Climate of the Past | Abstract: | Although quantitative isotope data from speleothems has been used to evaluate isotope-enabled model simulations, currently no consensus exists regarding the most appropriate methodology through which to achieve this. A number of modelling groups will be running isotope-enabled palaeoclimate simulations in the framework of the Coupled Model Intercomparison Project Phase 6, so it is timely to evaluate different approaches to using the speleothem data for data–model comparisons. Here, we illustrate this using 456 globally distributed speleothem δ18O records from an updated version of the Speleothem Isotopes Synthesis and Analysis (SISAL) database and palaeoclimate simulations generated using the ECHAM5-wiso isotope-enabled atmospheric circulation model. We show that the SISAL records reproduce the first-order spatial patterns of isotopic variability in the modern day, strongly supporting the application of this dataset for evaluating model-derived isotope variability into the past. However, the discontinuous nature of many speleothem records complicates the process of procuring large numbers of records if data–model comparisons are made using the traditional approach of comparing anomalies between a control period and a given palaeoclimate experiment. To circumvent this issue, we illustrate techniques through which the absolute isotope values during any time period could be used for model evaluation. Specifically, we show that speleothem isotope records allow an assessment of a model's ability to simulate spatial isotopic trends. Our analyses provide a protocol for using speleothem isotope data for model evaluation, including screening the observations to take into account the impact of speleothem mineralogy on δ18O values, the optimum period for the modern observational baseline and the selection of an appropriate time window for creating means of the isotope data for palaeo-time-slices. | URI: | https://hdl.handle.net/10356/142280 | ISSN: | 1814-9324 | DOI: | 10.5194/cp-15-1557-2019 | Rights: | © 2019 The Author(s). This work is distributed under the Creative Commons Attribution 4.0 License. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EOS Journal Articles |
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