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ShareScore release 0.9.0
Dataset results
14 results for “ozone depletion”
Life Cycle Impact Assessment method for ozone depletion based on WMO 2022
<p>This dataset provides the most recent <a>characterization factors</a> for ozone depletion based on the latest ozone depletion potentials from the 2022 World Meteorological Organization (WMO) scientific assessment. The dataset is formatted for easy import into life cycle assessment (LCA) software such as Brightway, the Activity Browser, and SimaPro. The characterization factors are available for both 100-year and infinite time horizons.</p> <p>When using the dataset, please cite the folllowing publication:</p> <p>van den Oever, A. E.M., Puricelli, S., Costa, D., Thonemann, N., Lavigne Philippot, M., Messagie, M., Dataset with updated ozone depletion characterization factors for life cycle impact assessment, Data in Brief (in press), 2024, <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.dib.2024.111103" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.dib.2024.111103</a></p>
Hourly LC impacts - Ozone Layer Depletion - current mix and future scenarios, average demand
<p>Dataset on LCA results of electricity generation and supply in Italy for 2018, 2019 and 2020 (current mix) and two future scenarios (2030) - Ozone Layer Depletion, average demand perspective.</p> <p>Modelling materials and methods are described in the paper "Life-cycle assessment of current and future electricity supply in Italy: addressing average and marginal hourly demand".</p>
Potential Ozone Depletion from Satellite Demise during Atmospheric Reentry in the Era of Mega-Constellations
<p>Dataset support to "Potential Ozone Depletion from Satellite Demise during Atmospheric Reentry in the Era of Mega-Constellations"</p>
Dataset pertaining to paper "New insights on the radiative impacts of ozone-depleting substances"
<p>Focusing on the period 1955-2005, we here present results from offline radiative forcing (RF) calculations from a global chemistry climate model. Using realistic distributions of ODS and consistent stratospheric ozone, we show that ODS dominate the adjusted stratospheric warming of the lower stratosphere, where CO2 has little radiative impact. We also show that the global mean RF of stratospheric ozone only cancels a fraction of the RF of ODS, leaving an important ODS contribution to anthropogenic forcing. Finally we show that the RF of ODS opposes Arctic amplification, its equator-to-pole gradient being larger than the one of CO2.</p> <p>This data-set consists of the output fields including temperature adjustment and radiative forcing from offline experiments using the NCAR CESM-PORT model.</p>
Datasets supporting "Enhanced climate response to ozone depletion from ozone-circulation coupling"
<p>This data set is prepared to support the manuscript entitled "Enhanced climate response to ozone depletion from ozone-circulation coupling" by Lin end Ming, which is under review for Journal of Geophysical Research. The data set includes the following contents:</p> <p>1. Zonal mean monthly mean fields for selected variables from the simulations shown in the manuscript.</p> <p>2. The coefficients used for O3Tracer simulation described in the manuscript.</p>
Model and observations used for Sigmond, M. et al, 'Large contribution of ozone-depleting substances to global and Arctic warming in the late 20th century", Geophysical Research Letters
<p>This dataset contains all the data used for the study "Large contribution of ozone-depleting substances to global and Arctic warming in the late 20th Century" by Sigmond et al, which was submitted to Geophysical Research Letters on July 26, 2022. It contains the following directories:</p> <p>- AR6: csv data files containing timeseries of Effective Radiative Forcing (ERF) as assessed by the IPCC Sixth Assessment Report (AR6).</p> <p>- CanESM5/DATA_siconc_canesm5_past_[expname] contain timeseries of September Sea Ice Extent (SSIE), where expname=historical (all forcing) or hist-noXXX (as historical, except that XXX is fixed to 1955 values)</p> <p>- CanESM5/DATA_tas_canesm5_past_[expname] contains timeseries of surface air temperature (am_: annual mean, arcam_: Arctic and annual mean, gmam_: Global and annual mean). expname as above </p> <p>- CanESM5/IN_TOA_COUPLED_CanESM5 contain timeseries of the global mean top of atmosphere net raditative flux. his=historical (all forcing) run, rms0056=fixed CFC run, rms0058=fixed CFC+stratospheric ozone run, rms0065: fixed CO2 run, and rms0066=fixed aerosol run.</p> <p>- CanESM5_uncoupled/DATA_rtmt_canesm5_YYYY: contains timeseries of RTMT (top of atmosphere radiative imbalance) in the uncoupled (fixed 1955 SST/SI) CanESM5 simulations. YYYY=fall: historical, faer: fixed aerosols, fco2: fixed CO2, fods: fixed CFC runs</p> <p>- OBSERVATIONS: contains timeseries of observational September Sea Ice Extent and surface air temperature used in the study</p> <p>- data_GSAT+ASAT+ERF+efficacies_2001-2005min1955.txt: contains the most import post-processed data </p> <p>Python code used to create these files from the raw model output are available at https://gitlab.com/michael.sigmond/cfc/</p>
Dataset for "On the dynamics of ozone depletion events at Villum Research Station in the High Arctic" Pernov et al.
<p>***************************************************************************************************************************************<br>Please contact Henrik Skov (hsk@envs.au.dk) and Jakob Boyd Pernov (jakob.pernov@gmail.com) before using any of these data. <br>***************************************************************************************************************************************</p> <p>Please check (https://ebas.nilu.no/) for ozone, DMI (https://www.dmi.dk/publikationer) for meteorological data, and ERDA (https://erda.au.dk/) for meteorological data before downloading these data. These repositories are the original data sources. </p> <p><br>This repo contains two files "All_Data_for_Pernov_et_al.csv" and "Only_Data_for_ML_Pernov_et_al.csv"</p> <p>Both datasets contain the following variables ozone mixing ratios (ppbv), ODE flags (0 is Non-ODE and 1 is ODE), wind direction (degrees), wind speed (m s-1), temperature (°C), RH (%), Pressure (hPa), percent of the time air masses spent below the mixed layer and over sea ice (SeaIce, %) and snow (Snow %) as well as the percent of the time air masses spent above the mixed layer (AML, %). </p> <p>"All_Data_for_Pernov_et_al.csv" contains NaNs where data was unavailable when ozone data was available. The first column is the date and time (DD/MM/YYYY HH:mm). </p> <p>"Only_Data_for_ML_Pernov_et_al.csv" contains no NaNs since data was imputed and radiation was gap-filled as outlined in the article and supplement. The first column is the index. </p>
Supporting material for "Reappraisal of the effective radiative forcing of ozone-depleting substances"
<p>This is a companion repository, containing data and scripts needed to reproduce the figures and table entries in Morgenstern et al, Reappraisal of the effective radiative forcing of ozone-depleting substances, Geophysical Research Letters, 2020. For more information, please read the README.TXT file which is part of this repository.</p>
Haase et al. 2020 - Sensitivity of the southern hemisphere circumpolar jet response to Antarctic ozone depletion: prescribed versus interactive chemistry
<p>Model data to reproduce the figures in Haase et al. "Sensitivity of the southern hemisphere circumpolar jet response to Antarctic ozone depletion: prescribed versus interactive chemistry" submitted to ACP in May 2020. These are based on NCAR's CESM1(WACCM) model with and without interactive chemistry. Detailed information on the model setup is to find in Haase et al. and references therein (https://doi.org/10.5194/acp-2020-441).</p> <p>Version 1.1 is associated with the first revision of the manuscript (September 2020) that led to an additional figure (new Figure 10) in the paper. For details see additional notes.</p>
Chemistry contribution to stratospheric ozone depletion after the unprecedented water-rich Hunga Tonga eruption
This datasets provide basis of our analysis in the paper - Chemistry contribution to stratospheric ozone depletion after the unprecedented water-rich Hunga Tonga eruption. We run two different nudged cases: the volcano case with forcing (SO2 and H2O injection) from the HTHH eruption and the control case with no forcing (no SO2 or H2O injection) from the HTHH eruption. The difference between these two nudged simulations gives information about the chemistry contribution to stratospheric ozone depletion after the HTHH eruption. Only the datasets used in analysis are archived here. The data archived here is about 28GB in the Netcdf format. It has a horizontal resolution of 0.9° latitude × 1.25° longitude, and 110 vertical levels, with a vertical resolution of ~500m in the upper troposphere and lower stratosphere.
Stratospheric ozone depletion and tropospheric ozone increases drive Southern Ocean interior warming
<p>Codes and processed variables to generate Figures 1-6.</p>
Data and Code for "Comparing the Impacts of Ozone-Depleting Substances and Carbon Dioxide on Arctic Sea Ice Loss"
<p>This upload contains data and code related to the submitted manuscript "Comparing the Impacts of Ozone-Depleting Substances and Carbon Dioxide on Arctic Sea Ice Loss" by Bushuk, Polvani, and England. See README.txt for a description of the datasets and code.</p>
Ivanciu et al., 2020 - Effects of prescribed CMIP6 ozone on simulating the Southern Hemisphere atmospheric circulation response to ozone depletion
<p>Model data used in the analysis published in the study by Ivanciu et al., 2020 "Effects of prescribed CMIP6 ozone on simulating the Southern Hemisphere atmospheric circulation response to ozone depletion". The data was produced using the coupled climate model FOCI (Flexible Ocean and Climate Infrastructure, Matthes et al., 2020). An overview of the available fields can be found in the README.md file.</p>
Data supporting Thomas & Ratterman 2020 "Ozone depletion-induced climate change following a 50 pc supernova?"
<p>This data supports publication Thomas & Ratterman 2020 "Ozone depletion-induced climate change following a 50 pc supernova?"</p> <p>The paper can be found as a pre-print: https://arxiv.org/abs/2006.15079</p> <p>Journal reference: "Ozone depletion-induced climate change following a 50 pc supernova", Brian C. Thomas and Cody L. Ratterman, Phys. Rev. Research 2, 043076 – Published 14 October 2020, doi: 10.1103/PhysRevResearch.2.043076 (https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.2.043076)</p> <p>Data included here are selected (post-processed) output from the PlaSim climate model, in netCDF format. Full raw data may be obtained upon request of the first author (Brian Thomas brian.thomas@washburn.edu).</p>
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