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9 results for “EC-Earth3”
Vertical cloud radiative heating from the EC-Earth3 PRIMAVERA high-resolution model part 2 (of 2)
<p>The h5 files contain variables used for the article “Vertical structure of cloud radiative heating in the tropics: confronting the EC-Earth v3.3.1/3P model with satellite observations”. The experiment was done with the EC-Earth3 model (https://portal.enes.org/models/earthsystem-models/ec-earth/ec-earth). The model run was done in atmosphere-only mode with prescribed SST for the years 2005 - 2010. Year 2005 and 2006 are considered as spin-up time and are therefore not included. The experiment is described in more detail in the article. </p> <p>The files are named as follows: model-version_resolution_year_month_variable..h5<br> The following variables (named after ECMWF Parameter database) from the model output are included in the dataset:<br> - 107: Top of the atmosphere (TOA) SW radiation (all sky)<br> - 108: TOA SW radiation (clear sky)<br> - 109: TOA SW radiation (cloudy sky)<br> - 110: TOA LW radiation (all sky)<br> - 130: Temperature<br> - 133: Specific humidity<br> - 246: Specific cloud liquid water content<br> - 247: Specific cloud ice water content<br> - 248: Fraction of cloud cover<br> - 54: Pressure</p> <p>The latlon.h5 file contains the latitude and longitude for the dataset. <br> <br> To get the complete dataset for the experiment, see:<br> DOI: 10.5281/zenodo.3958826 for the radiation part of the PRIMAVERA high-resolution data.<br> DOI: 10.5281/zenodo.3960087 for the humidity part of the PRIMAVERA high-resolution data.<br> DOI: 10.5281/zenodo.3947700 for the PRIMAVERA standard-resolution data.<br> DOI: 10.5281/zenodo.3981154 for the V3.3.1 standard-resolution data.<br> DOI: 10.5281/zenodo.4734468 for the python code.</p>
Vertical cloud radiative heating from the EC-Earth3 PRIMAVERA standard-resolution model
<p>The h5 files contain variables used for the article “Vertical structure of cloud radiative heating in the tropics: confronting the EC-Earth v3.3.1/3P model with satellite observations”. The experiment was done with the EC-Earth3 model (https://portal.enes.org/models/earthsystem-models/ec-earth/ec-earth). The model run was done in atmosphere-only mode with prescribed SST for the years 2005 - 2010. Year 2005 and 2006 are considered as spin-up time and are therefore not included. The experiment is described in more detail in the article. </p> <p>The files are named as follows: model-version_resolution_year_month_variable..h5<br> The following variables (named after ECMWF Parameter database) from the model output are included in the dataset:<br> - 107: Top of the atmosphere (TOA) SW radiation (all sky)<br> - 108: TOA SW radiation (clear sky)<br> - 109: TOA SW radiation (cloudy sky)<br> - 110: TOA LW radiation (all sky)<br> - 130: Temperature<br> - 133: Specific humidity<br> - 246: Specific cloud liquid water content<br> - 247: Specific cloud ice water content<br> - 248: Fraction of cloud cover<br> - 54: Pressure</p> <p>The latlon.h5 file contains the latitude and longitude for the dataset. <br> <br> To get the complete dataset for the experiment, see:<br> DOI: 10.5281/zenodo.3958826 for the radiation part of the PRIMAVERA high-resolution data.<br> DOI: 10.5281/zenodo.3960087 for the humidity part of the PRIMAVERA high-resolution data.<br> DOI: 10.5281/zenodo.3947700 for the PRIMAVERA standard-resolution data.<br> DOI: 10.5281/zenodo.3981154 for the V3.3.1 standard-resolution data.<br> DOI: 10.5281/zenodo.4734468 for the python code.</p>
Vertical cloud radiative heating from the EC-Earth3 PRIMAVERA high-resolution model part 1 (of 2)
<p>The h5 files contain variables used for the article “Vertical structure of cloud radiative heating in the tropics: confronting the EC-Earth v3.3.1/3P model with satellite observations”. The experiment was done with the EC-Earth3 model (https://portal.enes.org/models/earthsystem-models/ec-earth/ec-earth). The model run was done in atmosphere-only mode with prescribed SST for the years 2005 - 2010. Year 2005 and 2006 are considered as spin-up time and are therefore not included. The experiment is described in more detail in the article. </p> <p>The files are named as follows: model-version_resolution_year_month_variable..h5<br> The following variables (named after ECMWF Parameter database) from the model output are included in the dataset:<br> - 107: Top of the atmosphere (TOA) SW radiation (all sky)<br> - 108: TOA SW radiation (clear sky)<br> - 109: TOA SW radiation (cloudy sky)<br> - 110: TOA LW radiation (all sky)<br> - 130: Temperature<br> - 133: Specific humidity<br> - 246: Specific cloud liquid water content<br> - 247: Specific cloud ice water content<br> - 248: Fraction of cloud cover<br> - 54: Pressure</p> <p>The latlon.h5 file contains the latitude and longitude for the dataset. <br> <br> To get the complete dataset for the experiment, see:<br> DOI: 10.5281/zenodo.3958826 for the radiation part of the PRIMAVERA high-resolution data.<br> DOI: 10.5281/zenodo.3960087 for the humidity part of the PRIMAVERA high-resolution data.<br> DOI: 10.5281/zenodo.3947700 for the PRIMAVERA standard-resolution data.<br> DOI: 10.5281/zenodo.3981154 for the V3.3.1 standard-resolution data.<br> DOI: 10.5281/zenodo.4734468 for the python code.</p>
Vertical cloud radiative heating from the EC-Earth3 v3.3.1 model.
<p>The h5 files contain variables used for the article “Vertical structure of cloud radiative heating in the tropics: confronting the EC-Earth v3.3.1/3P model with satellite observations”. The experiment was done with the EC-Earth3 model (https://portal.enes.org/models/earthsystem-models/ec-earth/ec-earth). The model run was done in atmosphere-only mode with prescribed SST for the years 2005 - 2010. Year 2005 and 2006 are considered as spin-up time and are therefore not included. The experiment is described in more detail in the article. </p> <p>The files are named as follows: model-version_resolution_year_month_variable..h5<br> The following variables (named after ECMWF Parameter database) from the model output are included in the dataset:<br> - 107: Top of the atmosphere (TOA) SW radiation (all sky)<br> - 108: TOA SW radiation (clear sky)<br> - 109: TOA SW radiation (cloudy sky)<br> - 110: TOA LW radiation (all sky)<br> - 130: Temperature<br> - 133: Specific humidity<br> - 246: Specific cloud liquid water content<br> - 247: Specific cloud ice water content<br> - 248: Fraction of cloud cover<br> - 54: Pressure</p> <p>The latlon.h5 file contains the latitude and longitude for the dataset. <br> <br> To get the complete dataset for the experiment, see:<br> DOI: 10.5281/zenodo.3958826 for the radiation part of the PRIMAVERA high-resolution data.<br> DOI: 10.5281/zenodo.3960087 for the humidity part of the PRIMAVERA high-resolution data.<br> DOI: 10.5281/zenodo.3947700 for the PRIMAVERA standard-resolution data.<br> DOI: 10.5281/zenodo.3981154 for the V3.3.1 standard-resolution data.<br> DOI: 10.5281/zenodo.4734468 for the python code.</p>
Data for: Implementing detailed nucleation predictions in the Earth system model EC-Earth3.3.4: sulfuric acid-ammonia nucleation
<p>Model dataset variables produced from the IFS and TM5 modules in EC-Earth3 version 3.3.4. which contains the control case and three experiments with the NPF lookup table. This paper is published at EGUshpere by journal: Geoscientific Model Development.</p> <p>The files contain:</p> <p>Compressed tar file of NetCDF data from IFS output for all four simulations. All IFS data have been averaged to monthly means from 6-hourly grib datasets. The post-process bash script which contains the function for the CDN and cloud effective radius weighted average towards cloud_time is found in the supplemented zendo link.</p> <p>NetCDF files from TM5 general output for each simulation. </p>
Maximum Web-bulb-temperature in monsoon Asia with EC-Earth3 historical simulation
<p>The WBTmax-Asia-EC-Earth3 dataset is comprised of the NEX-GDDP-CMIP6 dataset (EC-Earth3 outputs of tasmax, huss) and ERA5 dataset (sp) using the algorithm described in Davies-Jones (2008), implemented by Buzan (2015), and ported to Matlab by Dr Robert Kopp (Rutgers, 2016). The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) (EC-Earth3) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four “Tier 1” greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). This dataThe purpose of this dataset is to provide a set of high-resolution, bias-corrected climate change projections that can be used to evaluate extreme heat over East Asia.</p>
Effective radiative forcing (ERF) experiments with EC-Earth3
<p># Effective radiative forcing (ERF) experiments with EC-Earth3</p> <p>Contact: klaus.wyser@smhi.se<br> Date: 2020-10-19</p> <p>The tarball contains the datasets that have been used to assess the ERF of the modified MACv2-SP forcing that has been prepared for the CovidMIP experiments. All experiments were done with the EC-Earth3 model (https://portal.enes.org/models/earthsystem-models/ec-earth/ec-earth) that includes the MACv2-SP aerosol forcing including the effects on the cloud droplet activation.</p> <p>Following the CFMIP protocol the ERF is obtained by running the model in atmosphere-only mode with prescribed SST and sea-ice from the piControl simulation. Two experiments are needed to assess the ERF: a control experiment (mctl) in which the all forcings are kept constant at the pre-industrial level, and a sensitivity experiment in which only the MACv2-SP forcing is taken from a different scenario from a specific year. Both control and sensitivty experiment are then run for 55 years.<br> </p> <p>The following MACv2-SP forcings were used in the different experiments:<br> - **mctl**: all forcings as in the piControl experiment<br> - **mba2**: forcing for year 2020 from the new ssp245 baseline dataset<br> - **mba5**: forcing for year 2050 from the new ssp245 baseline dataset<br> - **mbl2**: forcing for year 2020 from the TwoYearBlip dataset<br> - **msg5**: forcing for year 2050 from the StrongGreen recovery dataset<br> - **mmg5**: forcing for year 2050 from the ModerateGreen recovery dataset<br> - **mff5**: forcing for year 2050 from the FossilFuel rebound dataset</p> <p>The following variables from the model output are included in the dataset:<br> - **tsr**: Top of the atmosphere (TOA) SW radiation (all sky)<br> - **tsrc**: TOA SW radiation (clear sky)<br> - **tsra**: TOA SW radiation (cloudy sky)<br> - **ttr**: TOA LW radiation (all sky)<br> - **ttrc**: TOA LW radiation (clear sky)<br> - **ttra**: TOA LW radiation (cloudy sky)<br> - **ssr**: Surface SW radiation (all sky)<br> - **ssrc**: Surface SW radiation (clear sky)<br> - **ssra**: Surface SW radiation (cloudy sky)<br> - **str**: Surface LW radiation (all sky)<br> - **strc**: Surface LW radiation (clear sky)<br> - **stra**: Surface LW radiation (cloudy sky)<br> </p> <p>These variables have been used to compute timeseries and maps of the different components of the ERF:<br> - **erf**: ERF at TOA (all sky)<br> - **erfc**: ERF at TOA (clear sky)<br> - **erfa**: ERF at TOA (cloudy sky)<br> - **erfsfc**: ERF at SFC (all sky)<br> - **erfsfcc**: ERF at SFC (clear sky)<br> - **erfsfca**: ERF at SFC (cloudy sky)</p> <p>The script **stats.sh** has been used to compute the ERF.</p>
WBTmax-China dataset basing on EC-Earth3 simulations (Historical and 4 SSPs scenarios)
<p>The WBTmax-China dataset is comprised the NEX-GDDP-CMIP6 dataset (tasmax, huss) and ERA5 dataset (sp) using the algorithm described in Davies-Jones (2008), implemented by Buzan (2015), and ported to Matlab by Dr Robert Kopp (Rutgers, 2016). The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four “Tier 1” greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). This dataThe purpose of this dataset is to provide a set of high resolution, bias-corrected climate change projections that can be used to evaluate extreme heat over China.</p> <p> </p> <p>Due to the data size limit, only monthly maximum WBT and yearly maximum WBT data are provided here. Daily data can also be shared on request (ncao@gdou.edu.cn).</p>
Benefits of sea ice thickness initialization for the Arctic decadal climate prediction skill in EC-Earth3: data
<p>Data used in Tian et al (2020) in GMD Discussion on Benefits of sea ice thickness initialization for the Arctic decadal climate prediction skill in EC-Earth3. Date are used to generate figures and to execute routines; path2data4sensitivity_experiment is a text file, which contains links to ORAS5 reanalysis data as well as initial conditions/results of the sensitivity experiments.</p>
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