SISALv2: A comprehensive speleothem isotope database with multiple age-depth models

Comas-Bru, Laia; Rehfeld, Kira; Roesch, Carla; Amirnezhad-Mozhdehi, Sahar; Harrison, Sandy P.; Atsawawaranunt, Kamolphat; Ahmad, Shoeb; Brahim, Yassine Ait; Baker, Andy; Bosomworth, Matthew; Breitenbach, Sebastian F. M.; Burstyn, Yuval; Columbu, Andrea; Deininger, Michael W.; Demény, Attila; Dixon, Bronwyn; Fohlmeister, Jens; Hatvani, István Gábor; Hu, Jun; Kaushal, Nikita; Kern, Zoltán; Labuhn, Inga; Lechleitner, Franziska A.; Lorrey, Andrew; Martrat, Belén; Novello, Valdir F.; Oster, Jessica L.; Pérez‐Mejías, Carlos; Scholz, Denis; Scroxton, Nick; Sinha, Nitesh; Ward, Brittany Marie; Warken, Sophie; Zhang, Haiwei

doi:10.5194/essd-2020-39

Cited by 16 publications

(32 citation statements)

References 17 publications

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“…On monthly to decadal time scales, the Global Network of Isotopes in Precipitation (GNIP) database (IAEA/WMO, 2020) provides measurements of δ 18 O in collected precipitation water and these have been used in model-data comparisons for the present climate (Tindall et al, 2009;Werner et al, 2011;Comas-Bru et al, 2020). On decadal and longer timescales, paleoclimate archives such as speleothems are crucial.…”

Section: And the Overarching Coupled Modelmentioning

confidence: 99%

“…The robustness of the findings and methods are evaluated over the last millennium, for which a large number of high-resolution proxy datasets from the SISAL v.2. database (Comas-Bru et al, 2020) are available.…”

Section: And the Overarching Coupled Modelmentioning

confidence: 99%

“…2 (Haslett and Parnell, 2008) as adapted by Roesch and Rehfeld (2019), Bacon (Blaauw and Christeny, 2011), Oxcal (Ramsey, 2009), copRa (Comas-Bru et al, 2020, modified R version after Breitenbach et al 2012), and StalAge (Scholz and Hoffmann, 2011). Details on the automated age modeling procedure are given in Roesch and Rehfeld (2019) and Comas-Bru et al (2020). For each entity and ensemble method, one median best-fit estimate with confidence intervals, and https://doi.org/10.5194/cp-2020-121 Preprint.…”

Section: The Speleothem Isotope Datasetmentioning

confidence: 99%

“…between 129 and age-models based on perturbations of the radiometric ages are available (Comas-Bru et al, 2020). These ensembles are available for 69 of the 87 entities that we used in the network analysis, resulting in a total of 464383 ensemble age-models in our analysis.…”

Section: The Speleothem Isotope Datasetmentioning

confidence: 99%

“…CC BY 4.0 License. available age-model ensembles(Comas-Bru et al, 2020). The resulting best selection tuning indicates the strongest absolute significant correlation that can be obtained from age-model selection a pair of records.3.3 Spatial correlation via network analysisNetworks are practical representations for complex systems with interacting components and can be used to analyze dynamics in the climate system(Tsonis et al, 2006;Tupikina et al, 2014;Rehfeld et al, 2013).…”

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confidence: 99%

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Comparison of the oxygen isotope signatures in speleothem records and iHadCM3 model simulations for the last millennium

Bühler¹,

Roesch²,

Kirschner³

et al. 2020

Preprint

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Abstract. Global changes in the climate, especially the warming trend in mean temperature, have received increasing public and scientific attention. Improving the understanding of changes in the mean and variability of climate variables as well as their interrelation is crucial for reliable climate change projections. Comparisons between general circulation models and paleoclimate archives using indirect proxies for temperature and/or precipitation have been used to test and validate the capability of climate models to represent climate changes. The oxygen isotopic ratio δ18O is routinely measured in speleothem samples at decadal or higher resolution and single specimens can cover full Glacial-Interglacial cycles. The calcium carbonate cave deposits are precisely dateable and provide well preserved (semi-) continuous, albeit multivariate climate signals in the lower and mid-latitudes, where the measured δ18O in the mineral does not directly represent temperature or precipitation. Therefore, speleothems represent suitable archives to assess simulated climate model abilities for the simulation of climate variability beyond the timescales covered by meteorological observations (10–100 yr). Here, we present three transient isotope enabled simulations from the Hadley Center Climate Model version 3 (iHadCM3) covering the last millennium (850–1850 CE) and compare these to a large global dataset of speleothem δ18O records from the Speleothem Isotopes Synthesis and AnaLysis (SISAL) database version 2 (Comas-Bru et al., 2020). We evaluate systematically offsets in mean and variance of simulated δ18O and test for the main climate drivers for individual records or regions. The time-mean spatial offsets between the simulated δ18O and the speleothem data are fairly small. However, using robust filters and spectral analysis, we show that the observed proxy-based variability of δ18O is lower (higher) than simulated by iHadCM3 on decadal (centennial) timescales. Most of this difference can likely be attributed to the records' lower temporal resolution and averaging processes affecting the δ18O signal. Using cross-correlation analyses at site-level and modeled gridbox level, we find evidence for highly variable but generally low signal-to-noise ratios in the proxy data. This points at a high influence of cave-internal processes and regional climate particularities and could suggest low regional representativity of individual sites. Long-range strong positive correlations dominate the speleothem correlation network but are much weaker in the simulation. One reason for this could lie in a lack of longterm internal climate variability in these model simulations, which could be tested by repeating similar comparisons with other isotope-enabled climate models and paleoclimate databases.

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Section: And the Overarching Coupled Modelmentioning

confidence: 99%

Section: And the Overarching Coupled Modelmentioning

confidence: 99%

Section: The Speleothem Isotope Datasetmentioning

confidence: 99%

Section: The Speleothem Isotope Datasetmentioning

confidence: 99%

mentioning

confidence: 99%

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Comparison of the oxygen isotope signatures in speleothem records and iHadCM3 model simulations for the last millennium

Bühler¹,

Roesch²,

Kirschner³

et al. 2020

Preprint

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Rainfall stable water isotope variability in coastal southwestern Western Australia and its relationship to climate on multiple timescales

Griffiths¹,

Treble²,

Hope³

et al. 2021

Preprint

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Eurasian Holocene climate trends in transient coupled climate simulations and stable oxygen isotope records

Danek

Gierz

Kostrova

et al. 2021

J Quaternary Science

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Transient simulations of the global fully coupled climate model COSMOS under realistic varying orbital and greenhouse gas forcings are systematically compared to diatom oxygen isotope ( δ 18 O 0.1em diatom0.1em) records from Russian lakes with focus on Eurasian Holocene climate trends. The measured δ 18 O 0.1em diatom0.1em decrease and other temperature proxies are interpreted as large‐scale cooling throughout the Holocene while the model simulations are biased too warm, likely through missing radiative forcings. This large‐scale warm bias also dictates the modeled δ 18 O 0.1em precipitation. Hence, at locations where the signs of model and proxy temperature/precipitation trends agree, measured δ 18 O 0.1em diatom0.1em and modeled δ 18 O 0.1em precipitation0.1em trends show notable accordance. An increased temporal variability of modeled δ 18 O 0.1em precipitation0.1em is linked to persistent atmospheric circulation patterns. Applying the transient forcings in an accelerated way (every 10th year only) yields a similar, yet weaker or delayed model response, especially in the ocean.

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SISALv2: A comprehensive speleothem isotope database with multiple age-depth models

Cited by 16 publications

References 17 publications

Comparison of the oxygen isotope signatures in speleothem records and iHadCM3 model simulations for the last millennium

Comparison of the oxygen isotope signatures in speleothem records and iHadCM3 model simulations for the last millennium

Rainfall stable water isotope variability in coastal southwestern Western Australia and its relationship to climate on multiple timescales

Eurasian Holocene climate trends in transient coupled climate simulations and stable oxygen isotope records

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