Accessibility navigation


Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions

MacBean, N., Liddy, H., Quaife, T. ORCID: https://orcid.org/0000-0001-6896-4613, Kolassa, J. and Fox, A. (2022) Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions. Bulletin of the American Meteorological Society, 103 (3). E733-E740. ISSN 1520-0477

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1175/bams-d-21-0228.1


Item Type:Article
Refereed:Yes
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:104819
Uncontrolled Keywords:Atmospheric Science
Publisher:American Meteorological Society

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation