Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142280
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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