This page aims to keep a record of all published datasets that may be relevant to the NOMAD team
Observational datasets linked to published articles
Dataset description | Year | Instrument(s) | Dataset lead author(s) | Article DOI | Link to dataset |
---|---|---|---|---|---|
Pressure, temperature, dust, water vapour, water ice and CO2 ice | 2009 | MCS | Armin Kleinböhl | https://doi.org/10.1029/2009JE003358 | https://atmos.nmsu.edu/data_and_services/atmospheres_data/MARS/mcs.html |
Retrieved dust and water ice concentration and particle size over time from solar occultation measurements | 2019 | NOMAD-SO | Giuliano Liuzzi | https://doi.org/10.1029/2019JE006250 | https://psg.gsfc.nasa.gov/apps/exomars.php |
Temperature, water VMR and saturation profiles from NIR observations and aerosol extinctions from TIRVIM and MIR observations | 2020 | ACS | Anna Fedorova | https://doi.org/10.1126/science.aay9522 | http://exomars.cosmos.ru/ACS_Results_stormy_water_vREzUd4pxG/ |
NOMAD-UVIS ozone and aerosol vertical profile retrievals for MY 34-35 from solar occultation measurements | 2021 | NOMAD-UVIS | Manish Patel | https://doi.org/10.1029/2021JE006834 | https://ordo.open.ac.uk/articles/dataset/NOMAD-UVIS_ozone_vertical_profile_retrievals_for_Mars_Year_34-35/13580336/1 |
Isotopic composition of H2O and CO2 from solar occultation measurements | 2021 | ACS-MIR | Juan Alday | https://doi.org/10.1038/s41550-021-01389-x | https://zenodo.org/record/5100449#.Y4jMCH3MJPY |
H2O VMR measured during the second halves of MY 34 and 35 from solar occultation measurements | 2021 | ACS-MIR | Denis Belyaev | https://doi.org/10.1029/2021GL093411 | https://data.mendeley.com/datasets/995y7ymdgm/1 |
Water vapour vertical profiles in the atmosphere of Mars retrieved from 3.5 years of solar occultation measurements | 2022 | NOMAD-SO | Shohei Aoki | https://doi.org/10.1029/2022JE007231 | https://dx.doi.org/10.18758/71021072 |
CO/CO2 ratio in MY 35 retrieved from solar occultation measurements | 2022 | NOMAD-SO | Nao Yoshida | https://doi.org/10.1029/2022GL098485 | https://dx.doi.org/10.18758/71021076 |
Martian atmospheric temperature and density profiles during the 1st year of NOMAD/TGO solar occultation measurements | 2022 | NOMAD-SO | Miguel-Angel Lopez Valverde | https://doi.org/10.1029/2022JE007278 | https://zenodo.org/record/7086187#.Y4xDQb_MJX0 |
Limb profiles, brightness and altitude of the emission peak of oxygen green and red lines from dayside limb observations | 2022 | NOMAD-UVIS | Lauriane Soret | https://doi.org/10.1029/2022JE007220 | https://dx.doi.org/10.18758/71021077 |
Density and temperature of the upper mesosphere and lower thermosphere of Mars retrieved from the OI 557.7 nm dayglow | 2022 | NOMAD-UVIS | Shohei Aoki | https://doi.org/10.1029/2022JE007206 | https://dx.doi.org/10.18758/71021073 |
Retrievals of ozone profiles the 2018 GDS and for the same season one MY later, and GEM-Mars GCM ozone simulations including comparisons to observations | 2022 | NOMAD-UVIS and GEM-Mars | Frank Daerden and Michael Wolff | https://doi.org/10.1029/2022GL098821 | https://dx.doi.org/10.18758/71021070 |
Carbon dioxide retrievals and temperature profiles retrievals with the hydrostatic equilibrium equation from solar occultation measurements | 2023 | NOMAD-SO | Loic Trompet | https://dx.doi.org/10.18758/71021074 | |
Water vapor vertical distribution on Mars during perihelion season of MY 34 and MY 35 from solar occultation measurements | 2022 | NOMAD-SO | Adrian Brines | https://doi.org/10.1029/2022JE007273 | https://doi.org/10.5281/zenodo.7085454 |
Retrieval of Martian atmospheric CO vertical profiles from NOMAD observations during the 1st year of TGO solar occultation measurements | 2023 | NOMAD-SO | Ashimananda Modak | https://doi.org/10.1029/2022JE007282 | https://zenodo.org/record/7268447#.Y4xFIL_MJX0 |
Global distribution of ozone vertical profiles retrieved from solar occultation measurements | 2023 | NOMAD-UVIS | Arianna Piccialli | https://doi.org/10.1029/2022EA002429 | https://dx.doi.org/10.18758/71021079 |
GCM datasets linked to published articles
GCM simulations of O3 for NOMAD-UVIS solar occultation profiles | 2021 | GEM-Mars | Frank Daerden | https://doi.org/10.1029/2021JE006834 | https://repository.aeronomie.be/?doi=10.18758/71021066 |
Mars GCM output masked to UVIS aerosol opacity profiles for MY 34-35 | 2021 | MGCM | Paul Streeter | https://doi.org/10.1029/2021JE007065 | https://ordo.open.ac.uk/articles/dataset/Mars_Global_Climate_Model_output_masked_to_UVIS_aerosol_opacity_profiles_Mars_Year_34-35/16616680/1 |
GCM simulations of D/H in Mars water vapour | 2022 | GEM-Mars | Frank Daerden | https://doi.org/10.1029/2021JE007079 | https://dx.doi.org/10.18758/71021067 |
Retrievals of ozone profiles the 2018 GDS and for the same season one MY later, and GEM-Mars GCM ozone simulations including comparisons to observations | 2022 | NOMAD-UVIS and GEM-Mars | Frank Daerden and Michael Wolff | https://doi.org/10.1029/2022GL098821 | https://dx.doi.org/10.18758/71021070 |
Temperature, dust, water vapour and ozone from multiple different spacecraft, combined with a Mars GCM | 2022 | OpenMars | James Holmes | https://doi.org/10.1016/j.pss.2020.104962 | https://doi.org/10.21954/ou.rd.c.4278950 |
Datasets in accessible repositories
ESA planetary science archive (PSA): https://archives.esac.esa.int/psa/#!Table%20View/ExoMars%202016=mission
Official ESA repository for all NOMAD data
An introduction to the data can be found here: https://nomad.aeronomie.be/index.php/data-psa-users/introduction
Virtual European Solar and Planetary Access (VESPA): https://vespa.obspm.fr/planetary/data/
Virtual Observatory for Planetary Science, connecting all sorts of data in the field, allowing for rapid data search and providing modern tools to retrieve, cross-correlate, and display data and results of scientific analyses.
See presentation from Loic Trompet here
E.g. GEM Mars profiles, NOMAD-SO CO2 and temperature profiles are available
Datasets available via API
GEM Mars
GEM Mars profiles are available for MY34 and MY35 directly via the following url:
https://gem-mars.aeronomie.be/vespa-gem?myear=[34,35]&lat=[-90, 90]&lon=[-180,180]&ls=[0, 360]&lst=[0,24]
The output is in VOtable format. See here for an example in python
PSG
Access with curl
https://psg.gsfc.nasa.gov/helpapi.php