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13 results for “Geoengineering”
Dataset for "Comparison of the Fast and Slow Climate Response to Three Radiation Management Geoengineering Schemes"
<p>Reproducible dataset for "Comparison of the Fast and Slow Climate Response to Three Radiation Management Geoengineering Schemes"</p>
Dataset: Climate experts' views on geoengineering depend on their beliefs about climate change impacts
<p>This is the dataset and corresponding do-files to reproduce the main results from the Paper "Climate experts’ views on geoengineering depend on their beliefs about climate change impacts" and from the Supplemenatary Information.</p> <p>This fith versions incorporates additional work done after journal review.</p>
Regional distribution of annual sea-to-air OCS fluxes for the present day atmosphere with 500 ppt OCS and the two OCS geoengineering scenarios with 4.8 ppb and 35.5 ppb.
<p>This dataset was prepared for a publication by von Hobe et al. (2023):</p> <p><strong>Comment on “An approach to sulfate geoengineering with surface emissions of carbonyl sulfide” by Quaglia et al. (2022)</strong></p> <p>In that publication, the data are displayed in Figure 3.</p> <p>Average annual sea-to-air OCS fluxes on a 2.8 ° latitude x 2.8 ° longitude grid for the present day atmosphere and for the two OCS emission scenarios considered by Quaglia et al. (2022) were obtained from a 2003 - 2019 simulation, using a model described in Lennartz et al. (2021).</p> <p>- - - - - - - - - - -</p> <p>File format:</p> <p> netCDF</p> <p>Index Variables:</p> <p> latitude</p> <p> longitude</p> <p>Parameters:</p> <p> ocsem500: mean annual sea-to-air OCS flux calculated for an atmospheric OCS mole fraction of 500 ppt</p> <p> ocsem4800: mean annual sea-to-air OCS flux calculated for an atmospheric OCS mole fraction of 4.8 ppb</p> <p> ocsem35500: mean annual sea-to-air OCS flux calculated for an atmospheric OCS mole fraction of 35.5 ppb</p> <p>- - - - - - - - - - -</p> <p><strong>References:</strong></p> <p>Lennartz, S. T., Gauss, M., von Hobe, M., and Marandino, C. A.: Monthly resolved modelled oceanic emissions of carbonyl<br> sulphide and carbon disulphide for the period 2000–2019, Earth Syst. Sci. Data, 13, 2095-2110, 10.5194/essd-13-2095-2021, 2021.</p> <p>Quaglia, I., Visioni, D., Pitari, G., and Kravitz, B.: An approach to sulfate geoengineering with surface emissions of carbonyl<br> sulfide, Atmos. Chem. Phys., 22, 5757-5773, 10.5194/acp-22-5757-2022, 2022.</p> <p>von Hobe, M., Brühl, C., Lennartz, S. T., Whelan, M. E., and Kaushik, A.: Comment on “An approach to sulfate geoengineering with surface emissions of carbonyl sulfide” by Quaglia et al. (2022) , EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-268, 2023.</p>
Simple Biosphere model version 4.2 (SiB4) simulations for the present day atmosphere with 500 ppt OCS and the two OCS geoengineering scenarios with 4.8 ppb and 35.5 ppb OCS.
<p>This dataset was prepared for a publication by von Hobe et al. (2023):</p> <p><strong>Comment on “An approach to sulfate geoengineering with surface emissions of carbonyl sulfide” by Quaglia et al. (2022)</strong></p> <p>In that publication, the data are displayed in Figures 1 and 2.</p> <p>Simple Biosphere model version 4.2 (SiB4, Haynes et al., 2019; Sellers et al., 1986) was used to calculate (i) the average increase in evapotranspiration anticipated under an elevated OCS scenario for the years 2000-2021 on a 0.5 ° latitude x 0.5 ° longitude grid and (ii) OCS uptake by plants and soils, per month, at baseline (500 ppt) and elevated (4.8 and 35.5 ppb) OCS levels averaged over the years 2000-2021.</p> <p>- - - - - - - - - - -</p> <p><em>File 1: vonHobe_et_al_2023_CarbonylSulfideGeoengineeringScenarios_DeltaEvapotranspiration_GloballyGridded_SiB4.nc</em></p> <p>File Format:</p> <p> netCDF</p> <p>Index Variables:</p> <p> latitude</p> <p> longitude</p> <p>Parameters:</p> <p> percent_diff_et: relative increase in % of evapotranspiration in a scenario where 20% of terrestrial plants exhibit a 50% increase in stomatal conductance under high OCS</p> <p>- - - - - -</p> <p><em>File 2: vonHobe_et_al_2023_CarbonylSulfideGeoengineeringScenarios_BiosphereUptake_MonthlyIntegrated_SiB4.csv</em></p> <p>File Format:</p> <p> comma delimited text file (.csv)</p> <p>Index Variable:</p> <p> time: monthly, format m/dd/yy</p> <p>Parameters:</p> <p> ocs_veg_base: simulated monthly OCS uptake by terrestrial vegetation at an atmospheric OCS mole fraction of 500 ppt</p> <p> ocs_soil_base: simulated monthly OCS uptake by soils at an atmospheric OCS mole fraction of 500 ppt</p> <p> ocs_veg_4.8ppb: simulated monthly OCS uptake by terrestrial vegetation at an atmospheric OCS mole fraction of 4.8 ppb</p> <p> ocs_soil_4.8ppb: simulated monthly OCS uptake by soils at an atmospheric OCS mole fraction of 4.8 ppb</p> <p> ocs_veg_35.5ppb: simulated monthly OCS uptake by terrestrial vegetation at an atmospheric OCS mole fraction of 35.5 ppb</p> <p> ocs_soil_35.5ppb: simulated monthly OCS uptake by soils at an atmospheric OCS mole fraction of 35.5 ppb</p> <p>- - - - - - - - - - -</p> <p><strong>References:</strong></p> <p>Haynes, K. D., Baker, I. T., Denning, A. S., Stöckli, R., Schaefer, K., Lokupitiya, E. Y., and Haynes, J. M.: Representing<br> Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple<br> Biosphere Model (SiB4), Journal of Advances in Modeling Earth Systems, 11, 4423-4439, 10.1029/2018ms001540, 2019.</p> <p>Quaglia, I., Visioni, D., Pitari, G., and Kravitz, B.: An approach to sulfate geoengineering with surface emissions of carbonyl sulfide, Atmos. Chem. Phys., 22, 5757-5773, 10.5194/acp-22-5757-2022, 2022.</p> <p>Sellers, P. J., Mintz, Y., Sud, Y. C., and Salcher, A.: A Simple Biosphere Model (SiB) for Use within General Circulation Models, Journal of the Atmospheric Sciences, 43, 505-531, 1986.</p> <p>von Hobe, M., Brühl, C., Lennartz, S. T., Whelan, M. E., and Kaushik, A.: Comment on “An approach to sulfate geoengineering with surface emissions of carbonyl sulfide” by Quaglia et al. (2022) ,</p>
Data and Code for "Informative risk analyses of radiative forcing geoengineering require proper counterfactuals"
<p>This repository contains data and code necessary to generate the figures presented in the maunscript "Data and Code for “Informative risk analyses of radiative forcing geoengineering require proper counterfactuals”, submitted for publication to the Nature journal <em>Communications Earth & Environment</em>.</p>
Fettweis et al., 2021, TC, Greenland ice sheet and geoengineering: MAR outputs
<p>Monthly MARv3.11.3 outputs used in:</p> <p>Fettweis, X., Hofer, S., Séférian, R., Amory, C., Delhasse, A., Doutreloup, S., Kittel, C., Lang, C., Van Bever, J., Veillon, F., and Irvine, P.: Brief Communication: Reduction of the future Greenland ice sheet surface melt with the help of solar geoengineering, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2020-347, accepted, 2020.</p> <p>The available variables are:</p> <pre><code> name title I J K L LON Longitude 1:73 1:135 ... ... LAT Latitude 1:73 1:135 ... ... SH Surface Height 1:73 1:135 ... ... MSK Ice Sheet Area 1:73 1:135 ... ... SOL Soil Type 1:73 1:135 ... ... FRV Vegetation Class Coverage 1:73 1:135 1:2 ... VEG Vegetation Type Index 1:73 1:135 1:2 ... SMB SMB (mmWE/month) 1:73 1:135 ... 1:12 RU Runoff (mmWE/month) 1:73 1:135 ... 1:12 ME Melt (mmWE/month) 1:73 1:135 ... 1:12 SF Snowfall (mmWE/month) 1:73 1:135 ... 1:12 RF Rainfall (mmWE/month) 1:73 1:135 ... 1:12 SU Sublimation/evaporation (mmWE/m 1:73 1:135 ... 1:12 TT Temperature (degC) 1:73 1:135 ... 1:12 SWD Shortwave downward (w/m^2) 1:73 1:135 ... 1:12 LWD Longwave downward (w/m^2) 1:73 1:135 ... 1:12 SWA Absorbed shortwave radiation (w 1:73 1:135 ... 1:12 AL Albedo 1:73 1:135 ... 1:12 </code></pre> <p><br> </p> <p> </p>
Data from: "Injection strategy - a driver of atmospheric circulation and ozone response to stratospheric aerosol geoengineering" by Bednarz et al. (2023)
<p>Data from: "Injection strategy - a driver of atmospheric circulation and ozone response to stratospheric aerosol geoengineering" by Bednarz et al. (2023), which has been accepted for publication in Atmospheric Chemistry and Physics.</p>
Data on the demographics of public preferences for ten carbon removal and solar geoengineering interventions in 30 countries
<p><span>Data used in the analysis for 'The demographics of public preferences for ten carbon removal and solar geoengineering interventions in 30 countries' in the academic journal <em>Communications Earth and Environment.</em></span></p>
Data for "Cloud thinning in the mixed-phase regime as geoengineering concept" : Satellite data, ICON-LES simulations, and ECHAM-HAM simulations
<p><br> This repository contains:</p> <p>- Satellite product combination: Used to evaluate the cloud radiative effect of mixed-phase regime clouds.</p> <p>- ICON-LES simulations: Mixed-phase stratocumulus deck during M-PACE simulated with artificial droplet freezing.<br> - ref: reference.<br> - 0P1Nd:1% per hour<br> - 0P01Nd:0.1% per hour<br> - 0P001Nd:0.01% per hour</p> <p>- ECHAM-HAM 2-year simulations: Different scenarios with enhanced droplet freezing and with seeding concentrations of dust ice-nucleating particles.<br> - ori: reference<br> - ABS_1e4: 1e1 per Liter<br> - ABS_1e8: 1e5 per Liter<br> - CDNCx1e_7: 1e-4% per hour<br> - CDNCx1e_0 : 1e3% per hour</p> <p>- ECHAM-HAM 25-year simulations of Mixed-phase regime Cloud Thinning (MCT) including a mixed-layer ocean.<br> - ori: reference<br> - CDNCx1e_3: SEED simulation</p>
UKESM1 data for "G6-1.5: a new Geoengineering Model Intercomparison Project (GeoMIP) experiment integrating recent advances in sunlight reflection methods studies".
<p>UKESM1 data for "G6-1.5: a new Geoengineering Model Intercomparison Project (GeoMIP) experiment integrating recent advances in sunlight reflection methods studies".</p> <p>Processed UKESM data used for figure 4 in "G6-1.5: a new Geoengineering Model Intercomparison Project (GeoMIP) experiment integrating recent advances in sunlight reflection methods studies" by Visioni et al.</p>
Dataset for "Projected thermally driven elderly mortality for Beijing under greenhouse gas and stratospheric aerosol geoengineering scenarios"
Open the record for dataset details and reuse information.
Supporting large data for: Solar geoengineering could redistribute malaria risk in developing countries
Open the record for dataset details and reuse information.
On thin ice: Solar geoengineering to manage tipping element risks in the cryosphere by 2040
<div>Table S1 shows the three-year schedule needed to certify a special tanker modification. Table S2 and Table S3 provide sources for data that the authors gathered on the cost, annual movements, total number of runways, and construction timelines for the 17 airports included in the paper.</div>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.