@article{b4a35216fd2d423b88efba2fceeb9561,
title = "First Assimilation of Atmospheric Temperatures From the Emirates Mars InfraRed Spectrometer",
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.",
keywords = "Emirates Mars Mission, Mars, atmosphere, data assimilation, thermal infrared, weather",
author = "Young, {Roland M.B.} and Ehouarn Millour and Fran{\c c}ois Forget and Smith, {Michael D.} and Mariam Aljaberi and Edwards, {Christopher S.} and Nathan Smith and Saadat Anwar and Christensen, {Philip R.} and Wolff, {Michael J.}",
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. Publisher Copyright: {\textcopyright} 2022 The Authors.",
year = "2022",
month = nov,
day = "16",
doi = "10.1029/2022GL099656",
language = "English (US)",
volume = "49",
journal = "Geophysical Research Letters",
issn = "0094-8276",
publisher = "American Geophysical Union",
number = "21",
}