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Dong, B., Bannister, R., Chen, Y. ORCID: https://orcid.org/0000-0002-2319-6937, Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948 and Haines, K. ORCID: https://orcid.org/0000-0003-2768-2374 (2023) Simplified Kalman smoother and ensemble Kalman smoother for improving reanalyses. Geoscientific Model Development, 16. pp. 4233-4247. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-16-4233-2023

Francis, D. J., Fowler, A. M. ORCID: https://orcid.org/0000-0003-3650-3948, Lawless, A. S., Eyre, J. and Migliorini, S. (2023) The effective use of anchor observations in variational bias correction in the presence of model bias. Quarterly Journal of the Royal Meteorological Society, 149 (754). pp. 1789-1809. ISSN 1477-870X doi: https://doi.org/10.1002/qj.4482

Fowler, A. M. ORCID: https://orcid.org/0000-0003-3650-3948, Skákala, J. and Ford, D. (2023) Validating and improving the uncertainty assumptions for the assimilation of ocean colour derived chlorophyll a into a marine biogeochemistry model of the North-West European Shelf Seas. Quarterly Journal of the Royal Meteorological Society, 149 (750). pp. 300-324. ISSN 1477-870X doi: https://doi.org/10.1002/qj.4408

Evensen, G., Amezcua, J., Bocquet, M., Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600, Farchi, A., Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948, Houtekamer, P. L., Jones, C. K., de Moraes, R. J., Pulido, M., Sampson, C. and Vossepoel, F. C. (2021) An international initiative of predicting the Sars-Cov-2 pandemic using ensemble data assimilation. Foundations of Data Science, 3 (3). pp. 413-477. ISSN 2639-8001 doi: https://doi.org/10.3934/fods.2021001

Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948, Simonin, D. and Waller, J. (2020) Measuring theoretical and actual observation influence in the Met Office UKV: application to Doppler radial winds. Geophysical Research Letters, 47 (24). ISSN 0094-8276 doi: https://doi.org/10.1029/2020GL091110

Fowler, A. M. ORCID: https://orcid.org/0000-0003-3650-3948 (2019) Data compression in the presence of observational error correlations. Tellus Series A: Dynamic Meteorology and Oceanography, 71 (1). pp. 1-16. ISSN 0280-6495 doi: https://doi.org/10.1080/16000870.2019.1634937

Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948, Dance, S. ORCID: https://orcid.org/0000-0003-1690-3338 and Waller, J. (2018) On the interaction of observation and prior error correlations in data assimilation. Quarterly Journal of the Royal Meteorological Society, 144 (710). pp. 48-62. ISSN 1477-870X doi: https://doi.org/10.1002/qj.3183

Howes, K. E., Fowler, A. M. ORCID: https://orcid.org/0000-0003-3650-3948 and Lawless, A. S. (2017) Accounting for model error in strong-constraint 4DVar data assimilation. Quarterly Journal of the Royal Meteorological Society, 143 (704). pp. 1227-1240. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2996

Fowler, A. M. ORCID: https://orcid.org/0000-0003-3650-3948 (2017) A sampling method for quantifying the information content of IASI channels. Monthly Weather Review, 145 (2). pp. 709-725. ISSN 0027-0644 doi: https://doi.org/10.1175/MWR-D-16-0069.1

Fowler, A. M. ORCID: https://orcid.org/0000-0003-3650-3948 and Lawless, A. S. (2016) An idealized study of coupled atmosphere-ocean 4D-Var in the presence of model error. Monthly Weather Review, 144 (10). pp. 4007-4030. ISSN 0027-0644 doi: https://doi.org/10.1175/MWR-D-15-0420.1

Smith, P. J. ORCID: https://orcid.org/0000-0003-4570-4127, Fowler, A. M. ORCID: https://orcid.org/0000-0003-3650-3948 and Lawless, A. S. (2015) Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere-ocean model. Tellus A, 67. 27025. ISSN 1600-0870 doi: https://doi.org/10.3402/tellusa.v67.27025

Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948 and Van Leeuwen, P. J. (2013) Observation impact in data assimilation: the effect of non-Gaussian observation error. Tellus A, 65. 20035. ISSN 1600-0870 doi: https://doi.org/10.3402/tellusa.v65i0.20035

Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948 and Van Leeuwen, P. (2012) Measures of observation impact in non-Gaussian data assimilation. Tellus A, 64. 17192. ISSN 1600-0870 doi: https://doi.org/10.3402/tellusa.v64i0.17192

Brooks, I. and Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948 (2012) An evaluation of boundary-layer depth, inversion and entrainment parameters by large-eddy simulation. Boundary-Layer Meteorology, 142 (2). pp. 245-263. ISSN 0006-8314 doi: https://doi.org/10.1007/s10546-011-9668-3

Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948, Bannister, R. and Eyre, J. (2012) A new floating model level scheme for the assimilation of boundary layer top inversions: the univariate assimilation of temperature. Quarterly Journal of the Royal Meteorological Society, 138 (664A). pp. 682-698. ISSN 1477-870X doi: https://doi.org/10.1002/qj.955

Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948 (2010) Assimilation of misplaced boundary layer features. PhD thesis, University of Reading.

Fowler, A. M. ORCID: https://orcid.org/0000-0003-3650-3948, Bannister, R. N. and Eyre, J. (2010) Characterising the background errors for the boundary-layer capping inversion. Australian Meteorological and Oceanographic Journal, 59. pp. 17-24. ISSN 1836-716X

Brooks, I. and Fowler, A. ORCID: https://orcid.org/0000-0003-3650-3948 (2007) A new measure of entrainment zone structure. Geophysical Research Letters, 34 (L16808). ISSN 0094-8276 doi: https://doi.org/10.1029/2007GL030958

This list was generated on Fri Mar 29 08:12:31 2024 UTC.

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