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The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0

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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919928/
https://www.ncbi.nlm.nih.gov/pubmed/31894192
http://dx.doi.org/10.1002/gdj3.77
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author 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
author_facet 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
author_sort Greybush, Steven J.
collection PubMed
description 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.
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spelling pubmed-69199282019-12-30 The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0 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 Geosci Data J Data Papers 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. John Wiley and Sons Inc. 2019-08-23 2019-11 /pmc/articles/PMC6919928/ /pubmed/31894192 http://dx.doi.org/10.1002/gdj3.77 Text en © 2019 The Authors. Geoscience Data Journal published by Royal Meteorological Society and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Papers
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
The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0
title The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0
title_full The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0
title_fullStr The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0
title_full_unstemmed The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0
title_short The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0
title_sort ensemble mars atmosphere reanalysis system (emars) version 1.0
topic Data Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919928/
https://www.ncbi.nlm.nih.gov/pubmed/31894192
http://dx.doi.org/10.1002/gdj3.77
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