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ZENODO
Dataset . 2019
License: CC BY
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ZENODO
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License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
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CESM1.2 simulation data for "Simulation of Eocene extreme warmth and high climate sensitivity through cloud feedbacks"

Authors: Zhu, Jiang; Poulsen, Christopher J.; Tierney, Jessica E.;

CESM1.2 simulation data for "Simulation of Eocene extreme warmth and high climate sensitivity through cloud feedbacks"

Abstract

CESM1.2 simulation data for Early Eocene NOTE: Whole set of model simulation data is shared publicly. Please find more information on the CESM Paleoclimate Working Group website: https://www.cesm.ucar.edu/working-groups/paleo/simulations/cesm1.2_eocene Citations: Zhu, J., Poulsen, C. J., & Tierney, J. E. (2019). Simulation of Eocene extreme warmth and high climate sensitivity through cloud feedbacks. Science Advances, 5(9), eaax1874. https://doi.org/10.1126/sciadv.aax1874 Zhu, J., Poulsen, C. J., Otto-Bliesner, B. L., Liu, Z., Brady, E. C., & Noone, D. C. (2020). Simulation of early Eocene water isotopes using an Earth system model and its implication for past climate reconstruction. Earth and Planetary Science Letters, 537, 116164. https://doi.org/10.1016/j.epsl.2020.116164 Data set includes climatology (12 months) sea-surface temperature (TEMP), surface temperature (TS) and surface temperature at reference height (TREFHT) from four Eocene simulations with 1×, 3×, 6× and 9× preindustrial level of CO2 (284.7 ppmv), and a preindustrial simulation. Climatology was calculated from averaging data over the last 100 years of each simulation. TS and TREFHT are on the atmosphere grid of 1.9 × 2.5° (latitude × longitude). TEMP is on the POP ocean grid (~1°; see here: http://www.cesm.ucar.edu/models/cesm1.2/pop2/). NEW on July 09, 2024: restart files for the Eocene simulations. A case folder is available on GitHub: https://github.com/jiang-zhu/icesm1.2_eocene_cheyenne

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Keywords

Climate simulation; CESM; early Eocene

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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