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  • Articles
  • Other Sources  (5)
  • Publication Database PIK  (5)
  • GFZ Data Services  (4)
  • CESifo  (1)
  • Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
  • 2020-2023  (5)
  • 2021  (5)
  • 1
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    Model output for aerosol-induced cooling after the Chicxulub impact (2021)
    GFZ Data Services
    Details
    Publication Date: 2022-03-21
    Description: 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).
    Type: info:eu-repo/semantics/workingPaper
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  • 2
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    Optimal Carbon Taxation and Horizontal Equity: A Welfare-Theoretic Approach with Application to German Household Data (2021)
    CESifo
    In:  CESifo Working Paper
    Details
    Publication Date: 2022-03-21
    Description: We develop a model of optimal carbon taxation and redistribution taking into account horizontal equity concerns by considering heterogeneous energy efficiencies. By deriving first- and second-best rules for policy instruments including carbon taxes, transfers and energy subsidies, we then investigate analytically how horizontal equity is considered in the social welfare maximizing tax structure. We calibrate the model to German household data and a 30 percent emission reduction goal. Our results show that energy-intensive households should receive more redistributive resources than energy-efficient households if and only if social inequality aversion is sufficiently high. We further find that redistribution of carbon tax revenue via household-specific transfers is the first-best policy. Equal per-capita transfers do not suffer from informational problems, but increase mitigation costs by around 15 percent compared to the first-best for unity inequality aversion. Adding renewable energy subsidies or non-linear energy subsidies, reduces mitigation costs further without relying on observability of households’ energy efficiency.
    Language: English
    Type: info:eu-repo/semantics/report
    Format: application/pdf
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  • 3
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    Rain for Peru and Ecuador (RAIN4PE). V. 1.0 (2021)
    GFZ Data Services
    Details
    Publication Date: 2022-03-21
    Description: RAIN4PE is a novel daily gridded precipitation dataset obtained by merging multi-source precipitation data (satellite-based Climate Hazards Group InfraRed Precipitation, CHIRP (Funk et al. 2015), reanalysis ERA5 (Hersbach et al. 2020), and ground-based precipitation) with terrain elevation using the random forest regression method. Furthermore, RAIN4PE is hydrologically corrected using streamflow data in catchments with precipitation underestimation through reverse hydrology. Hence, RAIN4PE is the only gridded precipitation product for Peru and Ecuador, which benefits from maximum available in-situ observations, multiple precipitation sources, elevation data, and is supplemented by streamflow data to correct the precipitation underestimation over páramos and montane catchments. The RAIN4PE data are available for the terrestrial land surface between 19°S-2°N and 82-67°W, at 0.1° spatial and daily temporal resolution from 1981 to 2015. The precipitation dataset is provided in netCDF format. For a detailed description of the RAIN4PE development and evaluation of RAIN4PE applicability for hydrological modeling of Peruvian and Ecuadorian watersheds, readers are advised to read Fernandez-Palomino et al. (2021).
    Type: info:eu-repo/semantics/workingPaper
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  • 4
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    Data from Climate Model Ensemble Simulations for the Mesozoic Climate Evolution. V. 2021-02-04 (2021)
    GFZ Data Services
    Details
    Publication Date: 2022-03-21
    Description: 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. (2021a) is not included in this data publication to avoid copyright issues. Methods The data is model input and output for/from the coupled ocean-atmosphere model CLIMBER3alpha which models climate globally on a 3.75° x 3.75° (ocean, lon.x lat.) and 22.5° x 7.5° (atmosphere) grid.
    Type: info:eu-repo/semantics/workingPaper
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  • 5
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    Model data for simulations of ocean biogeochemistry after the Chicxulub impact (2021)
    GFZ Data Services
    Details
    Publication Date: 2022-03-21
    Description: 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.
    Type: info:eu-repo/semantics/workingPaper
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