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In "A pronounced spike in ocean productivity triggered by the Chicxulub impact" we study the combined effect of sulfate aerosols, carbon dioxide and dust on the oceans and the marine biosphere after the Chicxulub impact using simulations with a climate model including ocean biogeochemistry. The data presented here is the model output the results of this manuscript are based on. Additionally, the figures of the publication and scripts (Python) to analyse the model output and generate the figures are contained. The model output is provided in different netcdf files. The structure of the model output is explained in a readme file. The data is generated using the coupled ocean-atmosphere model CLIMBER-3α+C which models climate globally on a 3.75° x 3.75° (ocean) and 22.5° (longitude) x 7.5° (latitude) (atmosphere) grid. More information about the model can be found in the manuscript and the README of this data publication.
In "Climatic fluctuations modeled for carbon and sulfur emissions from end-Triassic volcanism" we study perturbations of Earth's climate and biogeochemical cycles by volcanism of the Central Atlantic Magmatic Province (CAMP) during the latest Triassic, about 201 million years ago, using a coupled climate model. The data presented here is the model output on which that manuscript is based on. Additionally, the figures of the publication and scripts (Python and Yorick) to analyse the model output and generate the figures are contained. The model output is provided in different netcdf files. The structure of the model output is explained in a readme file. The data is generated using the coupled ocean-atmosphere model CLIMBER3alpha which models climate globally on a 3.75°x3.75° (ocean) and 22.5° (longitude) x 7.5° (latitude) (atmosphere) grid. More information about the model can be found in the manuscript.
The simulations of the end‐Cretaceous climate and the effects of the impact are carried out with a coupled climate model consisting of a modified version of the ocean general circulation model MOM3, a dynamic/thermodynamic sea ice model, and a fast statistical‐dynamical atmosphere model. Our impact simulations are based on a climate simulation of the end‐Cretaceous climate state using a Maastrichtian (70 Ma) continental configuration. The solar constant is scaled to 1354 W/m2, based on the present‐day solar constant of 1361 W/m2 and a standard solar model. A baseline simulation with 500 ppm of atmospheric CO2 and a sensitivity experiment at 1000 ppm CO2 concentration. The impact is assumed to release 100 Gt sulfur and 1400 Gt CO2. We simulate stratospheric residence times of 2.1 y, 4.3 y and 10.6 y. More information about the model can be found in the manuscript (https://doi.org/10.1002/2016GL072241).
In “Investigating Mesozoic Climate Trends and Sensitivities with a Large Ensemble of Climate Model Simulations” we study global trends in the climatic evolution through the Mesozoic era (252-66 Ma). The data presented here is the model output on which the results of this manuscript are based. Also included are different boundary condition model input files and scripts to generate the included figures (using the Python programming language in a Jupyter Notebook). The model output is provided in different netcdf files. The data is generated using the coupled ocean-atmosphere model CLIMBER3alpha (Montoya et al. 2005) which models climate globally on a 3.75° x 3.75° (ocean, lon.x lat.) and 22.5° x 7.5° (atmosphere) grid. Please note that data from other research that is shown in the figures in Landwehrs et al. (2020a) is not included in this data publication to avoid copyright issues.
In "On the sensitivity of the Devonian climate to continental configuration, vegetation cover, orbital configuration, CO_2 concentration and insolation" we study the sensitivity of the Devonian (419 to 359 million years ago) to several parameters using a coupled climate model. The data presented here is the model output the results of this manuscript are based on. Additionally, the figures of the publication and scripts (Python and Yorick) to analyse the model output and generate the figures are contained. The model output is provided in different netcdf files. The structure of the model output is explained in a readme file. The data is generated using the coupled ocean-atmosphere model CLIMBER3alpha which models climate globally on a 3.75°x3.75° (ocean) and 22.5° (longitude) x 7.5° (latitude) (atmosphere) grid. More information about the model can be found in the manuscript.
We provide a single file (exodus II format) that contains all results of the modeling efforts of the associated paper. This encompasses all structural information as well as the pore pressure, temperature, and fluid velocity distribution through time. We also supply all files necessary to rerun the simulation, resulting in the aforementioned output file. The model area covers a rectangular area around the Central European Basin System (Maystrenko et al., 2020). The data publication is compeiment to Frick et al., (2021). The file published here is based on the structural model after Maystrenko et al., (2020) which resolves 16 geological units. More details about the structure and how it was derived can be found in Maystrenko et al., (2020). The file presented contains information on the regional variation of the pore pressure, temperature and fluid velocity of the model area in 3D. This information is presented for 364 time steps starting from 43,000 years before present and ending at 310000 years after present. This model was created as part of the ESM project (Advanced Earth System Modelling Capacity; https://www.esm-project.net). This project looks at the development of a flexible framework for the effective coupling of Earth system model components. In this, we focused on the coupling between atmosphere and the subsurface by simulating the response of glacial loading, in terms of thermal and hydraulic forcing, on the hydrodynamics and thermics of the geological subsurface of Central Europe. For this endeavor, we populated the 3D structural model by Maystrenko and Coauthors (2020) with rock physical properties, applied a set of boundary conditions and simulated the transient 3D thermohydraulics of the subsurface. More details about this can be found in the accompanying paper (Frick et al., 2021)
This dataset presents a set of geographical, geochemical and isotopic data, microphotos of thin sections and geochemical binary variation diagrams of sixteen samples of volcanic rocks collected in The Pleiades Volcanic Field, Northern Victoria Land, Antarctica (≈ 72° 42’ S; 165° 43’ E), made up of some 20 monogenetic, partly overlapping scoria and spatter cones, erupted in the last 900 ka, cropping out from the ice close to the head of Mariner Glacier. First two files of dataset (kmz files) contain locations of volcanic centres of The Pleaides Volcanic Fiels and the locations of the collected samples. File #3 contains analytical results of full major element, trace element and radiogenic (Sr, Nd, Pb) isotopic data of collected samples. File #4 contains analytical details of Ar-Ar geochronological data. File #5A and 5B contains modelling results, respectively, of major elements and trace elements-Sr isotope ratios of Assimilation plus Crystal Fractionation (AFC) applied to selected samples of The Pleiades Volcanic Field. Other files are images containing high-resolution pictures collected through optical microscopy of thin sections of collected samples showing their most important petrographic features and binary geochemical diagrams of variation of major elements and selected trace elements against SiO2 (wt%). This data are supplement to a manuscript currently submitted to G3 – Geochemistry, Geophysics, Geosystems, and are used to describe the main petrographic and geochemical features of the volcanic products outcropping at the Pleiades, define the characters of their mantle source, to define their evolutionary patterns. Through these data, we observed an unusual fractionation trend for this kind of volcanic fields, with a large assimilation rate of crustal material, ane we hypothesize a role of the thick-ice cap able to suppress the eruption potential and to increase the residence times of magma in crustal chambers.
The Lake Junín Drilling Project, co-funded by the International Continental Scientific Drilling Program, ICDP, aims to provide a continuous paleoclimate record from lacustrine sediments, and to reconstruct the history of the continental records covering the glacial-interglacial cycles spanning more than 500 kyr. Lake Junín, also known as Chinchaycocha, is a shallow (maximum water depth of 12 m), inter-mountain high-elevation (at 4100 m a.s.l.) lake in the inner-tropics of the Southern Hemisphere that spans 300 km2 in the tropical Andes of Peru. Drill cores were recovered during summer 2015 from three drill sites on the lake. After the completion of coring operations in each hole, downhole logging measurements were performed in five of the 11 boreholes (1A, 1C, 1D, 2A and 3B) by the Operational Support Group of ICDP at GFZ Potsdam (OSG). The OSG logging data from Lake Junín Drilling Project is given here in three data formats. For each of the five boreholes all processed logging data are comprised in one composite logging data set, this set is given here both in ASCII text and in WellCAD format. Additionally, the raw sonic waveform data are in LIS format: • Composite logging data in ASCII text files (.txt) • Composite logging data in WellCAD format (.wcl) • Sonic raw data (waveforms) in LIS format (.lis) Detailed description is provided in the associated data description file.
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