Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature

This archive includes data and python scripts to create the figures in Duetsch, M., Blossey, P. N., Steig, E. J., and Nusbaumer, J. M. (2019). Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperat...

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Main Authors: Duetsch, Marina, Blossey, Peter N., Steig, Eric J., Nusbaumer, Jesse M.
Format: Dataset
Language:unknown
Published: Zenodo 2019
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Online Access:https://dx.doi.org/10.5281/zenodo.3374013
https://zenodo.org/record/3374013
id ftdatacite:10.5281/zenodo.3374013
record_format openpolar
spelling ftdatacite:10.5281/zenodo.3374013 2023-05-15T13:55:26+02:00 Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature Duetsch, Marina Blossey, Peter N. Steig, Eric J. Nusbaumer, Jesse M. 2019 https://dx.doi.org/10.5281/zenodo.3374013 https://zenodo.org/record/3374013 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3374014 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY dataset Dataset 2019 ftdatacite https://doi.org/10.5281/zenodo.3374013 https://doi.org/10.5281/zenodo.3374014 2021-11-05T12:55:41Z This archive includes data and python scripts to create the figures in Duetsch, M., Blossey, P. N., Steig, E. J., and Nusbaumer, J. M. (2019). Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature. Submitted to J. Adv. Model. Earth Sy. Model Model output data are saved in model.tar.gz For all simulations, monthly averages of the following variables are saved in h0 files (used for Figures 3, 6, 8, 9): T: temperature (Si_real simulations only) PS: surface pressure (Si_real simulations only) U: zonal wind (Si_real simulations only) V: meridional wind (Si_real simulations only) LANDFRAC: fraction of surface area covered by land PRECT_H2O: total precipitation rate for H2O PRECT_HDO: total precipitation rate for HDO PRECT_H218O: total precipitation rate for H218O H2OV: H2O mixing ratio for vapor HDOV: HDO mixing ratio for vapor H218OV: H218O mixing ratio for vapor H2OI: H2O mixing ratio for cloud ice HDOI: HDO mixing ratio for cloud ice H218OI: H218O mixing ratio for cloud ice H2OL: H2O mixing ratio for cloud liquid HDOL: HDO mixing ratio for cloud liquid H218OL: H218O mixing ratio for cloud liquid For the control and Si_real microphysical sensitivity simulations, 6-hourly averages of the following variables are saved in h1 files (used for Figures 4, 5, 7): PRECL_H2O: Large-scale precipitation rate for H2O (Si_real simulations only) PRECL_HDO: Large-scale precipitation rate for HDO PRECL_H218O: Large-scale precipitation rate for H218O PRECL_SAT: Large-scale precipitation rate for Si tracer (Si_real simulations only) PRECL_TMP: Large-scale precipitation rate for T tracer (Si_real simulations only) PRECL_RVD: Large-scale precipitation rate for R^D tracer PRECL_RVO: Large-scale precipitation rate for R^18O tracer To limit the size of the data set, only the first 5 years of the simulations are saved. Measurements Ice core measurements for present-day climate and last glacial maximum are saved in icecores_PD.txt and icecores_LGM.txt, respectively. LGM values are averaged from 19000 BCE to 16000 BCE, PD values are averaged from 1000 BCE to 2000 CE. Antarctic surface snow measurements from Masson-Delmotte et al. (2008) are available at https://doi.org/10.1594/PANGAEA.681697 Python scripts Scripts run with python 3.6 Required packages: - numpy - matplotlib - netCDF4 - datetime - Basemap - copy - intergrid - cmocean Dataset Antarc* Antarctic ice core DataCite Metadata Store (German National Library of Science and Technology) Antarctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description This archive includes data and python scripts to create the figures in Duetsch, M., Blossey, P. N., Steig, E. J., and Nusbaumer, J. M. (2019). Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature. Submitted to J. Adv. Model. Earth Sy. Model Model output data are saved in model.tar.gz For all simulations, monthly averages of the following variables are saved in h0 files (used for Figures 3, 6, 8, 9): T: temperature (Si_real simulations only) PS: surface pressure (Si_real simulations only) U: zonal wind (Si_real simulations only) V: meridional wind (Si_real simulations only) LANDFRAC: fraction of surface area covered by land PRECT_H2O: total precipitation rate for H2O PRECT_HDO: total precipitation rate for HDO PRECT_H218O: total precipitation rate for H218O H2OV: H2O mixing ratio for vapor HDOV: HDO mixing ratio for vapor H218OV: H218O mixing ratio for vapor H2OI: H2O mixing ratio for cloud ice HDOI: HDO mixing ratio for cloud ice H218OI: H218O mixing ratio for cloud ice H2OL: H2O mixing ratio for cloud liquid HDOL: HDO mixing ratio for cloud liquid H218OL: H218O mixing ratio for cloud liquid For the control and Si_real microphysical sensitivity simulations, 6-hourly averages of the following variables are saved in h1 files (used for Figures 4, 5, 7): PRECL_H2O: Large-scale precipitation rate for H2O (Si_real simulations only) PRECL_HDO: Large-scale precipitation rate for HDO PRECL_H218O: Large-scale precipitation rate for H218O PRECL_SAT: Large-scale precipitation rate for Si tracer (Si_real simulations only) PRECL_TMP: Large-scale precipitation rate for T tracer (Si_real simulations only) PRECL_RVD: Large-scale precipitation rate for R^D tracer PRECL_RVO: Large-scale precipitation rate for R^18O tracer To limit the size of the data set, only the first 5 years of the simulations are saved. Measurements Ice core measurements for present-day climate and last glacial maximum are saved in icecores_PD.txt and icecores_LGM.txt, respectively. LGM values are averaged from 19000 BCE to 16000 BCE, PD values are averaged from 1000 BCE to 2000 CE. Antarctic surface snow measurements from Masson-Delmotte et al. (2008) are available at https://doi.org/10.1594/PANGAEA.681697 Python scripts Scripts run with python 3.6 Required packages: - numpy - matplotlib - netCDF4 - datetime - Basemap - copy - intergrid - cmocean
format Dataset
author Duetsch, Marina
Blossey, Peter N.
Steig, Eric J.
Nusbaumer, Jesse M.
spellingShingle Duetsch, Marina
Blossey, Peter N.
Steig, Eric J.
Nusbaumer, Jesse M.
Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature
author_facet Duetsch, Marina
Blossey, Peter N.
Steig, Eric J.
Nusbaumer, Jesse M.
author_sort Duetsch, Marina
title Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature
title_short Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature
title_full Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature
title_fullStr Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature
title_full_unstemmed Non-equilibrium fractionation during ice cloud formation in iCAM5: evaluating the common parameterization of supersaturation as a linear function of temperature
title_sort non-equilibrium fractionation during ice cloud formation in icam5: evaluating the common parameterization of supersaturation as a linear function of temperature
publisher Zenodo
publishDate 2019
url https://dx.doi.org/10.5281/zenodo.3374013
https://zenodo.org/record/3374013
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
ice core
genre_facet Antarc*
Antarctic
ice core
op_relation https://dx.doi.org/10.5281/zenodo.3374014
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.3374013
https://doi.org/10.5281/zenodo.3374014
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