The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0.

assimilation atmosphere ensemble mars reanalysis

Journal

Geoscience data journal
ISSN: 2049-6060
Titre abrégé: Geosci Data J
Pays: England
ID NLM: 101705642

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 20 11 2018
revised: 02 07 2019
accepted: 25 07 2019
entrez: 3 1 2020
pubmed: 3 1 2020
medline: 3 1 2020
Statut: ppublish

Résumé

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

Identifiants

pubmed: 31894192
doi: 10.1002/gdj3.77
pii: GDJ377
pmc: PMC6919928
doi:

Types de publication

Journal Article

Langues

eng

Pagination

137-150

Informations de copyright

© 2019 The Authors. Geoscience Data Journal published by Royal Meteorological Society and John Wiley & Sons Ltd.

Références

J Geophys Res. 2009 Mar;114(E3):
pubmed: 27630378
Geosci Data J. 2019 Nov;6(2):137-150
pubmed: 31894192

Auteurs

Steven J Greybush (SJ)

Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park PA USA.
Institute for CyberScience The Pennsylvania State University University Park PA USA.
Department of Atmospheric and Oceanic Science The University of Maryland College Park MD USA.

Eugenia Kalnay (E)

Department of Atmospheric and Oceanic Science The University of Maryland College Park MD USA.

R John Wilson (RJ)

NASA Ames Moffett Field CA USA.

Ross N Hoffman (RN)

Atmospheric and Environmental Research Verisk Analytics Lexington MA USA.

Thomas Nehrkorn (T)

Atmospheric and Environmental Research Verisk Analytics Lexington MA USA.

Mark Leidner (M)

Atmospheric and Environmental Research Verisk Analytics Lexington MA USA.

Janusz Eluszkiewicz (J)

Atmospheric and Environmental Research Verisk Analytics Lexington MA USA.

Hartzel E Gillespie (HE)

Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park PA USA.

Matthew Wespetal (M)

Department of Atmospheric and Oceanic Science The University of Maryland College Park MD USA.

Yongjing Zhao (Y)

Department of Atmospheric and Oceanic Science The University of Maryland College Park MD USA.

Matthew Hoffman (M)

Rochester Institute of Technology Rochester NY USA.

Patrick Dudas (P)

Institute for CyberScience The Pennsylvania State University University Park PA USA.

Timothy McConnochie (T)

Department of Astronomy The University of Maryland College Park MD USA.

Armin Kleinböhl (A)

Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA.

David Kass (D)

Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA.

Daniel McCleese (D)

Synoptic Science Altadena CA USA.

Takemasa Miyoshi (T)

Department of Atmospheric and Oceanic Science The University of Maryland College Park MD USA.
RIKEN Kobe Japan.

Classifications MeSH