Identifying errors in dust models from data assimilation

Pope, RJ, Marsham, J, Knippertz, P et al. (2 more authors) (2016) Identifying errors in dust models from data assimilation. Geophysical Research Letters, 43 (17). pp. 9270-9279. ISSN 0094-8276



Copyright, Publisher and Additional Information: ©2016. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: aerosol optical depth; dust forecasts; haboobs; data assimilation increments
  • Accepted: 14 August 2016
  • Published (online): 19 August 2016
  • Published: 16 September 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 06 Sep 2016 10:21
Last Modified: 06 Nov 2017 10:09
Published Version:
Status: Published
Publisher: American Geophysical Union
Identification Number:

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