Homopause characteristics from the Mars Planetary Climate Model [dataset]

[Methodological information] 1. Description of methods used for collection/generation of data The data included in this dataset includes information about the characteristics of the Martian homopause (altitude, pressure, temperature and CO2 density) derived from Ar/N2 profiles from simulations made with the Mars Planetary Climate Model. Similarly, we include information about the eddy diffusion coefficient constant κ estimated from the same Ar/N2 profiles. 2. Methods for processing the data The data is stored in netCDF files. For preview of the data we recommend using Panoply (https://www.giss.nasa.gov//tools/panoply/). For processing and analysis of the data we recommend using programming-based tools such as Python, R or MATLAB. Together with the netCDF files, we provide two Python jupyter notebooks showing examples of how to extract the data and plot the variability of the data parameters. 3. Instrument- or software-specific information needed to interpret/reproduce the data Panoply (https://www.giss.nasa.gov//tools/panoply/). Python (https://www.python.org/). The Mars Planetary Climate Model, used to generate the dataset, is available in https://svn.lmd.jussieu.fr/Planeto/trunk/LMDZ.MARS/

Publication Details

Journal
DIGITAL.CSIC (Spanish National Research Council (CSIC))
Published
2025-10-01
DOI
https://doi.org/10.20350/digitalcsic/17708
Primary Topic
Planetary Science and Exploration
Type
article
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article

Homopause characteristics from the Mars Planetary Climate Model [dataset]

DIGITAL.CSIC (Spanish National Research Council (CSIC))
Planetary Science and Exploration
article

Homopause characteristics from the Mars Planetary Climate Model [dataset]

article en

Abstract

[Methodological information] 1. Description of methods used for collection/generation of data The data included in this dataset includes information about the characteristics of the Martian homopause (altitude, pressure, temperature and CO2 density) derived from Ar/N2 profiles from simulations made with the Mars Planetary Climate Model. Similarly, we include information about the eddy diffusion coefficient constant κ estimated from the same Ar/N2 profiles. 2. Methods for processing the data The data is stored in netCDF files. For preview of the data we recommend using Panoply (https://www.giss.nasa.gov//tools/panoply/). For processing and analysis of the data we recommend using programming-based tools such as Python, R or MATLAB. Together with the netCDF files, we provide two Python jupyter notebooks showing examples of how to extract the data and plot the variability of the data parameters. 3. Instrument- or software-specific information needed to interpret/reproduce the data Panoply (https://www.giss.nasa.gov//tools/panoply/). Python (https://www.python.org/). The Mars Planetary Climate Model, used to generate the dataset, is available in https://svn.lmd.jussieu.fr/Planeto/trunk/LMDZ.MARS/

DIGITAL.CSIC (Spanish National Research Council (CSIC))
Climate action
Openalex Percentile: Top 38%
Planetary Science and Exploration
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