TY - JOUR
T1 - Assimilation of Both Column- and Layer-Integrated Dust Opacity Observations in the Martian Atmosphere
AU - Ruan, Tao
AU - Young, R. M.B.
AU - Lewis, S. R.
AU - Montabone, L.
AU - Valeanu, A.
AU - Read, P. L.
N1 - Funding Information:
RMBY, PLR, and SRL were funded by ESA contract 4000 114 138/15/NL/PA. PLR and AV were also funded by the UK Space Agency (ST/R001499/1). SRL also thanks the UK Space Agency (ST/R001405/1, ST/V005332/1, ST/S00145X/1 and ST/T002913/1) and the European Commission (Horizon 2020, Ref: 633 127) for support in related areas. LM acknowledges support from NASA's Mars Data Analysis Program under grant no. NNX13AK02G. RMBY acknowledges support from UAE University grants G00003322 and G00003590.
Publisher Copyright:
© 2021 The Authors.
PY - 2021/12
Y1 - 2021/12
N2 - A new dust data assimilation scheme has been developed for the UK version of the Laboratoire de Météorologie Dynamique Martian General Circulation Model. The Analysis Correction scheme (adapted from the UK Met Office) is applied with active dust lifting and transport to analyze measurements of temperature, and both column-integrated dust optical depth (CIDO), τref (rescaled to a reference level), and layer-integrated dust opacity (LIDO). The results are shown to converge to the assimilated observations, but assimilating either of the dust observation types separately does not produce the best analysis. The most effective dust assimilation is found to require both CIDO (from Mars Odyssey/THEMIS) and LIDO observations, especially for Mars Climate Sounder data that does not access levels close to the surface. The resulting full reanalysis improves the agreement with both in-sample assimilated CIDO and LIDO data and independent observations from outside the assimilated data set. It is thus able to capture previously elusive details of the dust vertical distribution, including elevated detached dust layers that have not been captured in previous reanalyzes. Verification of this reanalysis has been carried out under both clear and dusty atmospheric conditions during Mars Years 28 and 29, using both in-sample and out of sample observations from orbital remote sensing and contemporaneous surface measurements of dust opacity from the Spirit and Opportunity landers. The reanalysis was also compared with a recent version of the Mars Climate Database (MCD v5), demonstrating generally good agreement though with some systematic differences in both time mean fields and day-to-day variability.
AB - A new dust data assimilation scheme has been developed for the UK version of the Laboratoire de Météorologie Dynamique Martian General Circulation Model. The Analysis Correction scheme (adapted from the UK Met Office) is applied with active dust lifting and transport to analyze measurements of temperature, and both column-integrated dust optical depth (CIDO), τref (rescaled to a reference level), and layer-integrated dust opacity (LIDO). The results are shown to converge to the assimilated observations, but assimilating either of the dust observation types separately does not produce the best analysis. The most effective dust assimilation is found to require both CIDO (from Mars Odyssey/THEMIS) and LIDO observations, especially for Mars Climate Sounder data that does not access levels close to the surface. The resulting full reanalysis improves the agreement with both in-sample assimilated CIDO and LIDO data and independent observations from outside the assimilated data set. It is thus able to capture previously elusive details of the dust vertical distribution, including elevated detached dust layers that have not been captured in previous reanalyzes. Verification of this reanalysis has been carried out under both clear and dusty atmospheric conditions during Mars Years 28 and 29, using both in-sample and out of sample observations from orbital remote sensing and contemporaneous surface measurements of dust opacity from the Spirit and Opportunity landers. The reanalysis was also compared with a recent version of the Mars Climate Database (MCD v5), demonstrating generally good agreement though with some systematic differences in both time mean fields and day-to-day variability.
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U2 - 10.1029/2021EA001869
DO - 10.1029/2021EA001869
M3 - Article
AN - SCOPUS:85121614041
SN - 2333-5084
VL - 8
JO - Earth and Space Science
JF - Earth and Space Science
IS - 12
M1 - e2021EA001869
ER -