Publication Abstracts

MacBean et al. 2022

MacBean, N., H. Liddy, T. Quaife, J. Kolassa, and A. Fox, 2022: Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions. Bull. Amer. Meteorol. Soc., 103, no. 3, E733-E740, doi:10.1175/BAMS-D-21-0228.1.

Over 100 participants from the Earth system modeling and numerical weather prediction land data assimilation communities met virtually to discuss technical challenges faced in developing land data assimilations systems, possible solutions and a roadmap for addressing those challenges, and ideas for building a land DA community to facilitate future collaborations and knowledge exchange.

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BibTeX Citation

@article{ma08510c,
  author={MacBean, N. and Liddy, H. and Quaife, T. and Kolassa, J. and Fox, A.},
  title={Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions},
  year={2022},
  journal={Bull. Amer. Meteorol. Soc.},
  volume={103},
  number={3},
  pages={E733--E740},
  doi={10.1175/BAMS-D-21-0228.1},
}

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RIS Citation

TY  - JOUR
ID  - ma08510c
AU  - MacBean, N.
AU  - Liddy, H.
AU  - Quaife, T.
AU  - Kolassa, J.
AU  - Fox, A.
PY  - 2022
TI  - Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions
JA  - Bull. Amer. Meteorol. Soc.
VL  - 103
IS  - 3
SP  - E733
EP  - E740
DO  - 10.1175/BAMS-D-21-0228.1
ER  -

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