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10 results for “Isca”
Radiative kernels for Isca v1.0
<p>The radiative kernels for <a href="https://github.com/ExeClim/Isca">Isca</a> v1.0, in which the basic states are from simulations (T42, 25 vertical levels) without sea ice and clouds. Here we provided radiative kernels for a hierarchy of radiation schemes in Isca, including:</p> <ul> <li>Frierson scheme (gray radiation scheme without water vapor feedback): temperature radiative kernel at the top of the atmosphere (TOA) and surface temperature radiative kernel.</li> <li>Byrne and O'Gorman (BOG) scheme (gray radiation scheme, but with water vapor feedback): temperature and water vapor radiative kernels at TOA and surface temperature radiative kernel.</li> <li>RRTM scheme (full radiation scheme): Similar as the BOG scheme, but only zonal mean results.</li> </ul> <p>The scripts to calculate the offline radiative kernels can be found at: <a href="https://github.com/lqxyz/Isca_kernels">https://github.com/lqxyz/Isca_kernels</a>, and the input data is available at DOI:<a href="https://doi.org/10.5281/zenodo.4071837">10.5281/zenodo.4071837</a>.</p>
Outputs from Isca perturbed parameter ensemble (PPE) simulations (Part II)
<p>Outputs from Isca perturbed paramter ensemble (PPE) simulations under 1xCO2 and 4xCO2, in which the simulations are prescribed with Q-flux. The output is the extracted data for the first 20-year simulations for the surface temperature and radiative fluxes at the top of the atmosphere (TOA).</p> <p>This is Part II, and Part I can be found at: <a href="https://doi.org/10.5281/zenodo.5150241">10.5281/zenodo.5150241</a></p>
Isca model data for Flex-UM manuscript (Maher and Earnshaw 2021)
<p>This archive contains the model output generated for the manuscript Maher and Earnshaw (2021). The single data file, IscaSlabOcean.nc, contains a slab ocean Isca simulation using the Frierson default set-up.</p> <p>The Flex-UM and GA7.0 data for this manuscript are available at <a href="https://doi.org/10.5281/zenodo.5700372">https://doi.org/10.5281/zenodo.5700372</a></p> <p>The python postprocessing and plotting routines for this manuscript are available at <a href="https://doi.org/10.5281/zenodo.5700633">https://doi.org/10.5281/zenodo.5700633</a></p> <p> </p> <p> </p> <p> </p>
Outputs from Isca perturbed parameter ensemble (PPE) simulations (Part I)
<p>Outputs from Isca perturbed paramter ensemble (PPE) simulations under 1xCO2 (control run) and 4xCO2 (perturbed run), in which the simulations are prescribed with Q-flux.</p> <ul> <li>cld_fbk_cmp.zip: The outputs used for the comparison of cloud feedback computation methods.</li> <li>qflux_clisccp_data.zip: The outputs contain the variable clisccp from control and perturbed runs, used for the cloud feedabck calculation</li> <li>qflux_extracted_data_toa_flux_30yr.zip: The last 30-year top of the atmosphere (TOA) flux data used for deriving the equilibrium climate sensitivity, total climate feedback and effective radiative forcing through the Gregory plot</li> <li>qflux_extracted_data.zip: The last 5-year simulation outputs for control and perturbed runs.</li> <li>qflux_extracted_data_10yr.zip: The last 10-year simulation outputs for control and perturbed runs.</li> </ul> <p>This is Part I, and Part II can be found at: <a href="https://doi.org/10.5281/zenodo.5188175">10.5281/zenodo.5188175</a></p>
Isca_experiments_for_South_American_Drying_SI
<p>This dataset contains all the experiments presented in Pietschnig et al. 2019: "The presence of Africa and limited soil moisture contribute to future drying of South America" (main text)</p> <p>The data was produced using the open-source model Isca (Vallies et al. 2018). The code is available on github: https://github.com/ExeClim/Isca</p> <p>Each file contains 30 years of monthly data (we have excluded the first ten years to allow for spin-up of the model). The control and perturbed data are stored in individual files.</p> <p>--------------------------------------------------------------------------</p> <p>List of Experiments :</p> <p>From Supplementary Info:</p> <p>Experiment "RC", but with parametrized ocean heat transport:</p> <p>full_continents_newbucket_fullnewbucketqflux_without_pogfix_commit7bb4387.nc (control climate)<br> full_continents_newbucket_fullnewbucketqflux_2xCO2_spinup361_without_pogfix_commit7bb4387.nc (perturbed climate)<br> </p> <p>Experiment "RC EquatorMax"<br> full_continents_newbucket_fixedSSTs_zonally_symmetric_EqMax_commit7bb4387.nc (control climate)<br> full_continents_newbucket_fixedSSTs_zonally_symmetric_EqMax_plus_2pt52K_and_2xCO2_spinup_361_commit7bb4387.nc (perturbed climate)</p> <p>Experiment "RC EquatorMax"<br> two_continents_newbucket_fixedSSTs_zonally_symmetric_EqMax_commit7bb4387.nc (control climate)<br> two_continents_newbucket_fixedSSTs_zonally_symmetric_EqMax_plus_2pt52K_and_2xCO2_spinup_361_commit7bb4387.nc (perturbed climate)</p> <p>Experiment '2C short AM':</p> <p>two_continents_shortSA_newbucket_fixedSSTs_from_realworld_zonallysymm_commitfa0ee3e.nc (control climate)</p> <p>two_continents_shortSA_newbucket_fixedSSTs_from_realworld_zonallysymm_plus_uniform_warming_and_2xCO2_spinup_361_commitfa0ee3e.nc (perturbed climate)</p>
Isca_experiments_for_South_American_Drying_Main
<p>This dataset contains all the experiments presented in Pietschnig et al. 2019: "The presence of Africa and limited soil moisture contribute to future drying of South America" (main text)</p> <p>The data was produced using the open-source model Isca (Vallies et al. 2018). The code is available on github: https://github.com/ExeClim/Isca</p> <p>Each file contains 30 years of monthly data (we have excluded the first ten years to allow for spin-up of the model). The control and perturbed data are stored in individual files.</p> <p>----------------------------------------------------</p> <p>List of experiments:</p> <p>From Main Text</p> <p>Experiment "RC"</p> <p>full_continents_newbucket_fixedSSTs_zonally_symmetric_commit7bb4387.nc (control climate)<br> full_continents_newbucket_fixedSSTs_zonally_symmetric_plus_2pt52K_and_2xCO2_spinup_361_commit7bb4387.nc (perturbed climate)</p> <p>Experiment "RC07"</p> <p>full_continents_lepref07_fixedSSTs_zonally_symmetric.nc (control climate)<br> full_continents_lepref07_fixedSSTs_zonally_symmetric_plus_2pt52K_and_2xCO2_spinup_361.nc (perturbed climate)</p> <p>Experiment "AM"</p> <p>square_South_America_newbucket_fixedSSTs_from_realworld_zonallysymm_commit7bb4387.nc (control climate)<br> square_South_America_newbucket_fixedSSTs_from_realworld_zonallysymm_plus_uniform_warming_and_2xCO2_spinup_361_commit7bb4387.nc (perturbed climate)</p> <p>Experiment "AF"</p> <p>square_Africa_newbucket_fixedSSTs_from_realworld_zonallysymm_commit7bb4387.nc (control climate)<br> square_Africa_newbucket_fixedSSTs_from_realworld_zonallysymm_plus_uniform_warming_and_2xCO2_spinup_361_commit7bb4387.nc (perturbed climate)</p> <p>Experiment "2C"two_continents_newbucket_fixedSSTs_from_realworld_zonallysymm_commit7bb4387.nc (control climate)<br> two_continents_newbucket_fixedSSTs_from_realworld_zonallysymm_plus_uniform_warming_and_2xCO2_spinup_361_commit7bb4387.nc (perturbed climate)</p> <p>---------------------------------------------------</p> <p> </p> <p>From Supplementary Info:</p> <p>Experiment "RC", but with parametrized ocean heat transport:</p> <p>full_continents_newbucket_fullnewbucketqflux_without_pogfix_commit7bb4387.nc (control climate)<br> full_continents_newbucket_fullnewbucketqflux_2xCO2_spinup361_without_pogfix_commit7bb4387.nc (perturbed climate)<br> </p> <p>Experiment "RC EquatorMax"<br> full_continents_newbucket_fixedSSTs_zonally_symmetric_EqMax_commit7bb4387.nc (control climate)<br> full_continents_newbucket_fixedSSTs_zonally_symmetric_EqMax_plus_2pt52K_and_2xCO2_spinup_361_commit7bb4387.nc (perturbed climate)</p> <p>Experiment "RC EquatorMax"<br> two_continents_newbucket_fixedSSTs_zonally_symmetric_EqMax_commit7bb4387.nc (control climate)<br> two_continents_newbucket_fixedSSTs_zonally_symmetric_EqMax_plus_2pt52K_and_2xCO2_spinup_361_commit7bb4387.nc (perturbed climate)</p> <p>Experiment '2C short AM':</p> <p>two_continents_shortSA_newbucket_fixedSSTs_from_realworld_zonallysymm_commitfa0ee3e.nc (control climate)</p> <p>two_continents_shortSA_newbucket_fixedSSTs_from_realworld_zonallysymm_plus_uniform_warming_and_2xCO2_spinup_361_commitfa0ee3e.nc (perturbed climate)</p> <p> </p>
ENSO--Europe Teleconnection Isca Experiments
Open the record for dataset details and reuse information.
Heat Tagging Data For Idealized Isca Aquaplanets
<p>Heat Tag tracer calculations described in</p> <p>Fajber and Kushner (2021): Using “Heat Tagging” to Understand the Remote Influence of Atmospheric Diabatic Heating through Long-Range Transport, Journal of Atmospheric Sciences, 2161–2176 . https://doi.org/10.1175/JAS-D-20-0290.1</p> <p>Calculated using the Isca model: https://execlim.github.io/IscaWebsite/</p> <p>Data suppliment for the paper</p> <p>Fajber, Donohoe, Ragen, Armour, and Kushner (2022): The Hydrologic cycle drives Atmospheric Heat Transport, PNAS, submitted.<br> <br> The data is zonal mean monthly averages, but many quadratic products are included for budget calculations.</p>
Inhaled Sedation in COVID-19-related Acute Respiratory Distress Syndrome (ISCA): an International Research Data Study in the Recent Context of Widespread Disease Resulting From the 2019 (SARS-CoV2) Co
ClinicalTrials.gov study NCT04383730. IPD Sharing: UNDECIDED. Countries: 5. Publications: 1.
Input data for Isca radiative kernel offline calculation
<p>Input data for calculating the radiative kernels (offline) for Isca, including:</p> <ul> <li>three hourly climatology from Isca with Byrne & O'Gorman (BOG) radiaiton scheme</li> <li>three hourly climatology from Isca with RRTM radiaiton scheme</li> <li>ozone file for RRTM</li> </ul>
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