2019
DOI: 10.1002/gdj3.77
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The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0

Abstract: The Ensemble Mars Atmosphere Reanalysis System (EMARS) dataset version 1.0 contains hourly gridded atmospheric variables for the planet Mars, spanning Mars Year (MY) 24 through 33 (1999 through 2017). A reanalysis represents the best estimate of the state of the atmosphere by combining observations that are sparse in space and time with a dynamical model and weighting them by their uncertainties. EMARS uses the Local Ensemble Transform Kalman Filter (LETKF) for data assimilation with the GFDL/NASA Mars Global … Show more

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Cited by 38 publications
(60 citation statements)
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“…The results presented here show how varied the nighttime atmosphere in the dusty season can be, and how there is an important interplay between the dust distribution, water ice clouds and thermal tides. The diurnal temperature behavior and vertical dust distribution revealed in these MCS observations is not well represented in assimilated datasets of the martian atmosphere (Greybush et al., 2019; Holmes et al., 2020) and suggests further work is needed in order to understand the coupling between the dust and water cycles.…”
Section: Resultsmentioning
confidence: 92%
“…The results presented here show how varied the nighttime atmosphere in the dusty season can be, and how there is an important interplay between the dust distribution, water ice clouds and thermal tides. The diurnal temperature behavior and vertical dust distribution revealed in these MCS observations is not well represented in assimilated datasets of the martian atmosphere (Greybush et al., 2019; Holmes et al., 2020) and suggests further work is needed in order to understand the coupling between the dust and water cycles.…”
Section: Resultsmentioning
confidence: 92%
“…Indeed the present paper suggests that assimilation of MCS‐like middle‐atmosphere measurements into a whole‐atmosphere Mars model could represent a leap forward in our ability to predict thermosphere longitude structures due to solar tides. While significant advances have been made insofar as data assimilation of low‐ and middle‐atmosphere data goes (Greybush et al, 2019; Navarro et al, 2017), it remains to be determined how thermosphere structures are affected. Concerning the need for future observations, major advances would likely result from improved local time sampling of Mars atmosphere.…”
Section: Discussionmentioning
confidence: 99%
“…In order to test the hypothesis that downwelling associated with the diurnal tide can cause the temperature inversions observed in the MCS measurements, we use Ensemble Mars Atmosphere Reanalysis System (EMARS) version 1.0 data (Greybush et al, 2019) for MY29. This data set results from the assimilation of MCS in-track temperature profiles using a Local Ensemble Transform Kalman Filter (LETKF; see Hoffman et al, 2010;Greybush et al, 2012;Zhao et al, 2015), and is freely available at https://www.datacommons.…”
Section: Appendix A: Temperature Inversions In Emars Datamentioning
confidence: 99%