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The Mars Analysis Correction Data Assimilation (MACDA) dataset V1.0

Montabone, L.; Marsh, K.; Lewis, S. R.; Read, P. L.; Smith, M. D.; Holmes, J.; Spiga, A.; Lowe, D. and Pamment, A. (2014). The Mars Analysis Correction Data Assimilation (MACDA) dataset V1.0. Geoscience Data Journal, 1(2) pp. 129–139.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1002/gdj3.13
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Abstract

The Mars Analysis Correction Data Assimilation (MACDA) dataset version 1.0 contains the reanalysis of fundamental atmospheric and surface variables for the planet Mars covering a period of about three Martian years (a Martian year is about 1.88 terrestrial years). This has been produced by data assimilation of observations from NASA's Mars Global Surveyor (MGS) spacecraft during its science mapping phase (February 1999–August 2004). In particular, we have used retrieved thermal profiles and total dust optical depths from the Thermal Emission Spectrometer (TES) on board MGS. Data have been assimilated into a Mars global climate model (MGCM) using the Analysis Correction scheme developed at the UK Meteorological Office. The MGCM used is the UK spectral version of the Laboratoire de Météorologie Dynamique (LMD, Paris, France) MGCM. MACDA is a joint project of the University of Oxford and The Open University in the UK.

Item Type: Journal Item
Copyright Holders: 2014 The Authors
ISSN: 2049-6060
Project Funding Details:
Funded Project NameProject IDFunding Body
Case for Support for Modelling and Data Assimilation Science Co-I on the ExoMars Trace Gas OrbiterST/I003096/1STFC/UKSA
Open University Consolidated Grant Phase 1ST/J001597/1STFC (Science & Technology Facilities Council)
Extra Information: Data Paper.
Data S1. Number of TES retrievals available for assimilation after quality control, as a function of solar longitude and latitude for MYs 24–27. The available retrievals are counted in 1° solar longitude × 2° latitude bins. The file is in NetCDF format, with a self-descriptive header.
Keywords: Mars atmosphere; Mars reanalysis; Mars Global Surveyor; global climate model (GCM); data assimilation
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Space
Related URLs:
Item ID: 42520
Depositing User: Stephen Lewis
Date Deposited: 15 Apr 2015 15:30
Last Modified: 08 Nov 2019 19:47
URI: http://oro.open.ac.uk/id/eprint/42520
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