Open AccessThe Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0
Author(s) -
Greybush Steven J.,
Kalnay Eugenia,
Wilson R. John,
Hoffman Ross N.,
Nehrkorn Thomas,
Leidner Mark,
Eluszkiewicz Janusz,
Gillespie Hartzel E.,
Wespetal Matthew,
Zhao Yongjing,
Hoffman Matthew,
Dudas Patrick,
McConnochie Timothy,
Kleinböhl Armin,
Kass David,
McCleese Daniel,
Miyoshi Takemasa
Publication year - 2019
Publication title -
geoscience data journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.125
H-Index - 11
ISSN - 2049-6060
DOI - 10.1002/gdj3.77
Subject(s) - mars exploration program , environmental science , data assimilation , atmosphere (unit) , atmosphere of mars , ensemble kalman filter , dust storm , atmospheric sciences , meteorology , storm , astrobiology , kalman filter , geology , martian , physics , computer science , extended kalman filter , artificial intelligence
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 Climate Model (MGCM). Observations that are assimilated include the Thermal Emission Spectrometer (TES) and Mars Climate Sounder (MCS) temperature retrievals. The dataset includes gridded fields of temperature, wind, surface pressure, as well as dust, water ice, CO 2 surface ice and other atmospheric quantities. Reanalyses are useful for both science and engineering studies, including investigations of transient eddies, the polar vortex, thermal tides and dust storms, and during spacecraft operations.