First Assimilation of Atmospheric Temperatures From the Emirates Mars InfraRed Spectrometer

Roland M.B. Young; Ehouarn Millour; François Forget; M. D.  Smith; Mariam Aljaberi; Christopher S. Edwards; Nathan Smith; Saadat Anwar; Philip R. Christensen; M. Wolff

doi:10.1029/2022GL099656

First Assimilation of Atmospheric Temperatures From the Emirates Mars InfraRed Spectrometer

Roland M.B. Young^* (Corresponding Author), Ehouarn Millour, François Forget, M. D. Smith, Mariam Aljaberi, Christopher S. Edwards, Nathan Smith, Saadat Anwar, Philip R. Christensen, M. Wolff

^*Corresponding author for this work

Physics

Research output: Contribution to journal › Article › peer-review

Abstract

We assimilate atmospheric temperatures from the Emirates Mars Infrared Spectrometer on board the Emirates Mars Mission (EMM) into the Mars Planetary Climate Model at the start of EMM's early science phase (Mars Year 36 L_s = 57.34–92.90°). Mars data assimilation benefits significantly from EMM's unique near-hemispheric observations, frequent repeated observations of the same location, and full diurnal cycle coverage. Our analysis verifies well against in-sample temperature observations, and is 1–3 K warmer than Mars Climate Sounder observations. We identify a warm front in concurrent Emirates eXploration Imager observations by correlating an elongated water ice cloud with temperatures and winds in the analysis; the analysis winds are consistent with its observed motion. We also calculate the full horizontal wind diurnal cycle; the zonal flow is weaker and the meridional circulation is stronger than simulating the same time period using the model alone.

Original language	English
Article number	e2022GL099656
Number of pages	10
Journal	Geophysical Research Letters
Volume	49
Issue number	21
Early online date	10 Oct 2022
DOIs	https://doi.org/10.1029/2022GL099656
Publication status	Published - 16 Nov 2022

Bibliographical note

Funding Information:
Funding for development of the EMM mission was provided by the UAE government, and to co‐authors outside of the UAE by MBRSC. This work was supported by a Joint Research Agreement between MBRSC, Dubai, and NSSTC, UAE University. RMBY acknowledges funding from UAE University Grant G00003407. RMBY and MAJ acknowledge funding from UAE University Grant G00003322. Supercomputing resources were provided by UAE University High Performance Computing, with technical support from Anil Thomas and Asma Alneyadi. The authors thank Luca Montabone for access to processed MCS temperature observations and the MY36 GCM dust scenario file, Sandrine Guerlet, Claus Gebhardt, Bijay Guha, and Hessa Almatroushi for useful discussions, Bryan Harter for help with the assimilation dataset, and two anonymous reviewers whose comments improved the manuscript.

Data Availability Statement

Data from the Emirates Mars Mission (EMM) are freely and publicly available on the EMM Science Data Center (SDC, http://sdc.emiratesmarsmission.ae). This location is designated as the primary repository for all data products produced by the EMM team and is designated as long-term repository as required by the UAE Space Agency. The data available (http://sdc.emiratesmarsmission.ae/data) include ancillary spacecraft data, instrument telemetry, Level 1 (raw instrument data) to Level 3 (derived science products), quicklook products, and data users guides (https://sdc.emiratesmarsmission.ae/documentation) to assist in the analysis of the data. Following the creation of a free login, all EMM data are searchable via parameters such as product file name, solar longitude, acquisition time, sub-spacecraft latitude and longitude, instrument, data product level, etc.

Data products can be browsed within the SDC via a standardized file system structure that follows the convention: /emm/data/<Instrument>/<DataLevel>/<Mode>/<Year>/<Month>

Data product filenames follow a standard convention: emm_<Instrument>_<DataLevel><StartTimeUTC>_<OrbitNumber>_<Mode>_<Description>_<KernelLevel>_<Version>.<FileType)

Emirates Mars Infrared Spectrometer (EMIRS) data and user guides are available at: https://sdc.emiratesmarsmission.ae/data/emirs.

Emirates eXploration Imager (EXI) data and user guides are available at: https://sdc.emiratesmarsmission.ae/data/exi.

The data produced by our assimilation can be obtained via the EMM SDC at https://data-sdc-publications-mbrsc.s3.eu-west-1.amazonaws.com/Young-EMIRS-assimilation-MY36-first-results.zip.

Mars Climate Sounder observations are available from the NASA Planetary Data System Atmospheres node at https://pds-atmospheres.nmsu.edu/data_and_services/atmospheres_data/MARS/mars_reconnaissance_orbiter.html.

MOLA topography data are available from the NASA Planetary Data System Geosciences node at https://pds-geosciences.wustl.edu/missions/mgs/megdr.html.

The Mars PCM is available from http://www-mars.lmd.jussieu.fr/; we used GCM subversion revision r2533. The assimilation uses letkfmars git revision 9421d1c2a78abbd03eafc2cf3c1b0719e7586660.

Keywords

Atmosphere
Data assimilation
Emirates Mars Mission
Mars
Thermal infrared
Weather

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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abstract = "We assimilate atmospheric temperatures from the Emirates Mars Infrared Spectrometer on board the Emirates Mars Mission (EMM) into the Mars Planetary Climate Model at the start of EMM's early science phase (Mars Year 36 Ls = 57.34–92.90°). Mars data assimilation benefits significantly from EMM's unique near-hemispheric observations, frequent repeated observations of the same location, and full diurnal cycle coverage. Our analysis verifies well against in-sample temperature observations, and is 1–3 K warmer than Mars Climate Sounder observations. We identify a warm front in concurrent Emirates eXploration Imager observations by correlating an elongated water ice cloud with temperatures and winds in the analysis; the analysis winds are consistent with its observed motion. We also calculate the full horizontal wind diurnal cycle; the zonal flow is weaker and the meridional circulation is stronger than simulating the same time period using the model alone.",

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author = "Young, {Roland M.B.} and Ehouarn Millour and Fran{\c c}ois Forget and Smith, {M. D.} and Mariam Aljaberi and Edwards, {Christopher S.} and Nathan Smith and Saadat Anwar and Christensen, {Philip R.} and M. Wolff",

note = "Funding Information: Funding for development of the EMM mission was provided by the UAE government, and to co‐authors outside of the UAE by MBRSC. This work was supported by a Joint Research Agreement between MBRSC, Dubai, and NSSTC, UAE University. RMBY acknowledges funding from UAE University Grant G00003407. RMBY and MAJ acknowledge funding from UAE University Grant G00003322. Supercomputing resources were provided by UAE University High Performance Computing, with technical support from Anil Thomas and Asma Alneyadi. The authors thank Luca Montabone for access to processed MCS temperature observations and the MY36 GCM dust scenario file, Sandrine Guerlet, Claus Gebhardt, Bijay Guha, and Hessa Almatroushi for useful discussions, Bryan Harter for help with the assimilation dataset, and two anonymous reviewers whose comments improved the manuscript. ",

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AU - Edwards, Christopher S.

AU - Smith, Nathan

AU - Anwar, Saadat

AU - Christensen, Philip R.

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N2 - We assimilate atmospheric temperatures from the Emirates Mars Infrared Spectrometer on board the Emirates Mars Mission (EMM) into the Mars Planetary Climate Model at the start of EMM's early science phase (Mars Year 36 Ls = 57.34–92.90°). Mars data assimilation benefits significantly from EMM's unique near-hemispheric observations, frequent repeated observations of the same location, and full diurnal cycle coverage. Our analysis verifies well against in-sample temperature observations, and is 1–3 K warmer than Mars Climate Sounder observations. We identify a warm front in concurrent Emirates eXploration Imager observations by correlating an elongated water ice cloud with temperatures and winds in the analysis; the analysis winds are consistent with its observed motion. We also calculate the full horizontal wind diurnal cycle; the zonal flow is weaker and the meridional circulation is stronger than simulating the same time period using the model alone.

AB - We assimilate atmospheric temperatures from the Emirates Mars Infrared Spectrometer on board the Emirates Mars Mission (EMM) into the Mars Planetary Climate Model at the start of EMM's early science phase (Mars Year 36 Ls = 57.34–92.90°). Mars data assimilation benefits significantly from EMM's unique near-hemispheric observations, frequent repeated observations of the same location, and full diurnal cycle coverage. Our analysis verifies well against in-sample temperature observations, and is 1–3 K warmer than Mars Climate Sounder observations. We identify a warm front in concurrent Emirates eXploration Imager observations by correlating an elongated water ice cloud with temperatures and winds in the analysis; the analysis winds are consistent with its observed motion. We also calculate the full horizontal wind diurnal cycle; the zonal flow is weaker and the meridional circulation is stronger than simulating the same time period using the model alone.

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First Assimilation of Atmospheric Temperatures From the Emirates Mars InfraRed Spectrometer

Abstract

Bibliographical note

Data Availability Statement

Keywords

UN SDGs

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