2017
DOI: 10.5194/gmd-10-889-2017
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The DeepMIP contribution to PMIP4: experimental design for model simulations of the EECO, PETM, and pre-PETM (version 1.0)

Abstract: Abstract. Past warm periods provide an opportunity to evaluate climate models under extreme forcing scenarios, in particular high ( >  800 ppmv) atmospheric CO2 concentrations. Although a post hoc intercomparison of Eocene ( ∼  50  Ma) climate model simulations and geological data has been carried out previously, models of past high-CO2 periods have never been evaluated in a consistent framework. Here, we present an experimental design for climate model simulations of three warm periods within the early Eoc… Show more

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Cited by 119 publications
(170 citation statements)
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“…Villa et al, 2013;Houben et al, 2013), to provide further evidence for temperature ranges or relative changes where or when quan-titative data might be sparse. For example, the dinoflagellate species S. antarctica broadly suggests colder temperatures with higher abundance, while its presence suggests mean annual SSTs <10 • C (Zonneveld et al, 2013), even if the spatial integration of microfossils is taken into account (Nooteboom et al, 2019).…”
Section: Data Synthesismentioning
confidence: 99%
“…Villa et al, 2013;Houben et al, 2013), to provide further evidence for temperature ranges or relative changes where or when quan-titative data might be sparse. For example, the dinoflagellate species S. antarctica broadly suggests colder temperatures with higher abundance, while its presence suggests mean annual SSTs <10 • C (Zonneveld et al, 2013), even if the spatial integration of microfossils is taken into account (Nooteboom et al, 2019).…”
Section: Data Synthesismentioning
confidence: 99%
“…We conclude by emphasizing the need for a holistic approach to interpreting proxy records that includes multiple environmental proxies and climate models. While multiproxy and model synthesis efforts, such as DeepMIP (Lunt et al, ), are a necessary next step to further our understanding of deep time climate, we demonstrate here that a modeling approach that features reduced complexity is valuable for deriving first‐order understandings of large‐scale dynamic changes in the past (Held, ). Our findings provide a dynamical explanation for seemingly contradictory land and ocean temperature changes as well as urge caution when interpreting spatially limited data.…”
Section: Discussionmentioning
confidence: 99%
“…In order to mitigate negative concentrations in biogeochemically active species, our simulations also used the MPDATA (multidimensional positive definite advection transport algorithm) tracer advection solution (Smolarkiewicz, 1983;Smolarkiewicz & Margolin, 1998). A more detailed description of the model's specifications is included in the supporting information, with additional references to Barnier et al (1995), Ben-Yaakov and Goldhaber (1973), van Heuven et al (2011), Lunt et al (2017, Penven et al (2008), Slingerland andTyrrell &Zeebe (2004).…”
Section: Model Formulationmentioning
confidence: 99%