Article

Hu, G. ORCID: https://orcid.org/0000-0003-4305-3658, Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338, Bannister, R. N., Chipilski, H. G., Guillet, O., Macpherson, B., Weissmann, M. and Yussouf, N. (2023) Progress, challenges and future steps in data assimilation for convection-permitting numerical weather prediction: report on the virtual meeting held on 10 and 12 November 2021. Atmospheric Science Letters, 24 (1). e1130. ISSN 1530-261X doi: https://doi.org/10.1002/asl.1130

Lee, J. C. K., Amezcua, J. and Bannister, R. N. (2022) Hybrid ensemble-variational data assimilation in ABC-DA within a tropical framework. Geoscientific Model Development, 15 (15). pp. 6197-6219. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-2022-3

Bannister, R. N. (2021) Balance conditions in variational data assimilation for a high-resolution forecast model. Quarterly Journal of the Royal Meteorological Society, 147 (738). ISSN 1477-870X doi: https://doi.org/10.1002/qj.4106

Bannister, R. N. ORCID: https://orcid.org/0000-0002-6846-8297 (2020) The ABC-DA system (v1.4): a variational data assimilation system for convective-scale assimilation research with a study of the impact of a balance constraint. Geoscientific Model Development, 13 (8). pp. 3789-3816. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-13-3789-2020

Bannister, R. N., Chipilski, H. and Martinez-Alvarado, O. (2020) Techniques and challenges in the assimilation of atmospheric water observations for numerical weather prediction towards convective scales. Quarterly Journal of the Royal Meteorological Society, 146 (726). pp. 1-48. ISSN 1477-870X doi: https://doi.org/10.1002/qj.3652

Dance, S. L., Ballard, S. P., Bannister, R. N., Clark, P., Cloke, H. L., Darlington, T., Flack, D. L. A., Gray, S. L., Hawkness-Smith, L., Husnoo, N., Illingworth, A. J., Kelly, G. A., Lean, H. W., Li, D., Nichols, N. K., Nicol, J. C., Oxley, A., Plant, R. S., Roberts, N. M., Roulstone, I., Simonin, D., Thompson, R. J. and Waller, J. A. (2019) Improvements in forecasting intense rainfall: results from the FRANC (forecasting rainfall exploiting new data assimilation techniques and novel observations of convection) project. Atmosphere, 10 (3). 125. ISSN 2073-4433 doi: https://doi.org/10.3390/atmos10030125

Bannister, R. N., Migliorini, S., Rudd, A. C. and Baker, L. H. (2018) Methods of investigating forecast error sensitivity to ensemble size in a limited-area convection-permitting ensemble. Geoscientific Model Development Discussions. 260. ISSN 1991-962X doi: https://doi.org/10.5194/gmd-2017-260

Petrie, R. E., Bannister, R. N. and Cullen, M. J. P. (2017) The “ABC model”: a non-hydrostatic toy model for use in convective-scale data assimilation investigations. Geoscientific Model Development, 10. pp. 4419-4441. ISSN 1991-959X doi: https://doi.org/10.5194/gmd-10-4419-2017

Bannister, R. N. (2017) A review of operational methods of variational and ensemble-variational data assimilation. Quarterly Journal of the Royal Meteorological Society, 143 (703). pp. 607-633. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2982

Bannister, R. (2015) How is the balance of a forecast ensemble affected by adaptive and non-adaptive localization schemes? Monthly Weather Review, 143 (9). pp. 3680-3699. ISSN 0027-0644 doi: https://doi.org/10.1175/MWR-D-14-00379.1

Baker, L., Rudd, A., Migliorini, S. and Bannister, R. (2014) Representation of model error in a convective-scale ensemble prediction system. Nonlinear Processes in Geophysics, 21. pp. 19-39. ISSN 1023-5809 doi: https://doi.org/10.5194/npg-21-19-2014 (special issue 'Ensemble methods in geophysical sciences')

Fowler, A., 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

Bannister, R. N., Migliorini, S. and Dixon, M. A. G. (2011) Ensemble prediction for nowcasting with a convection-permitting model - II: forecast error statistics. Tellus Series A: Dynamic Meteorology and Oceanography, 63 (3). pp. 497-512. ISSN 0280-6495 doi: https://doi.org/10.1111/j.1600-0870.2010.00500.x

Migliorini, S., Dixon, M., Bannister, R. and Ballard, S. (2011) Ensemble prediction for nowcasting with a convection-permitting model—I: description of the system and the impact of radar-derived surface precipitation rates. Tellus Series A: Dynamic Meteorology and Oceanography, 63 (3). pp. 468-496. ISSN 0280-6495 doi: https://doi.org/10.1111/j.1600-0870.2010.00503.x

Katz, D., Lawless, A. S., Nichols, N. K., Cullen, M. J. P. and Bannister, R. N. (2011) Correlations of control variables in variational data assimilation. Quarterly Journal of the Royal Meteorological Society, 137 (656). pp. 620-630. ISSN 1477-870X doi: https://doi.org/10.1002/qj.798 (Part A)

Bannister, R. N. (2011) Issues in the assimilation of the sources of a trace gas by inverse modelling. Computers & Fluids, 46 (1). pp. 106-112. ISSN 0045-7930 doi: https://doi.org/10.1016/j.compfluid.2010.11.017

Petrie, R. E. and Bannister, R. N. (2011) A method for merging flow-dependent forecast error statistics from an ensemble with static statistics for use in high resolution variational data assimilation. Computers & Fluids, 46 (1). pp. 387-391. ISSN 0045-7930 doi: https://doi.org/10.1016/j.compfluid.2011.01.037

Fowler, A. M., 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

Bannister, R. N., Katz, D., Cullen, M. J. P., Lawless, A. S. and Nichols, N. K. (2008) Modelling of forecast errors in geophysical fluid flows. International Journal for Numerical Methods in Fluids, 56 (8). pp. 1147-1153. ISSN 0271-2091 doi: https://doi.org/10.1002/fld.1618

Bannister, R.N. (2008) A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances. Quarterly Journal of the Royal Meteorological Society, 134 (637). pp. 1951-1970. ISSN 1477-870X doi: https://doi.org/10.1002/qj.339

Bannister, R.N. (2008) A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics. Quarterly Journal of the Royal Meteorological Society, 134 (637). pp. 1971-1996. ISSN 1477-870X doi: https://doi.org/10.1002/qj.340

Bannister, R.N. (2007) Can wavelets improve the representation of forecast error covariances in variational data assimilation? Monthly Weather Review, 135 (2). pp. 387-408. ISSN 0027-0644 doi: https://doi.org/10.1175/MWR3279.1

Geer, A. J., Peubey, C., Bannister, R. N., Brugge, R., Jackson, D. R., Lahoz, W. A., Migliorini, S., O'Neill, A. and Swinbank, R. (2006) Assimilation of stratospheric ozone from MIPAS into a global general-circulation model: The September 2002 vortex split. Quarterly Journal of the Royal Meteorological Society, 132 (614). pp. 231-257. ISSN 1477-870X

Bannister, R. N., O'Neill, A., Gregory, A. R. and Nissen, K. M. (2004) The role of the south-east Asian monsoon and other seasonal features in creating the 'tape-recorder' signal in the Unified Model. Quarterly Journal of the Royal Meteorological Society, 130 (599). pp. 1531-1554. ISSN 1477-870X

Bannister, R. (2003) The method of least squares used to invert an orbit problem. American Journal of Physics, 71 (12). pp. 1268-1275. ISSN 0002-9505 doi: https://doi.org/10.1119/1.1613270

Bannister, R. N. and d'Ambrumenil, N. (2000) Spectral functions of half-filled one-dimensional Hubbard rings with varying boundary conditions. Physical Review B, 61 (7). pp. 4651-4658. ISSN 1550-235X doi: https://doi.org/10.1103/PhysRevB.61.4651

Book or Report Section

Bannister, R. N. (2010) The role of balance in data assimilation. In: Fitt, A. D., Norbury, J., Ockendon, H. and Wilson, E. (eds.) Progress in Industrial Mathematics at ECMI 2008. Mathematics in Industry (15). Springer, pp. 393-399. ISBN 9783642121098

Bannister, R. N., Katz, D., Cullen, M. J. P., Lawless, A. S. and Nichols, N. K. (2007) Modelling of forecast errors in geophysical fluid flows. In: Proceedings of the Ninth International ICFD Conference on Numerical Methods for Fluid Dynamics, March 26 – 29, 2007. ICFD, Reading.

Report

Lahoz, W.A., Migliorini, R., Bannister, R., Brugge, R. and O'Neill, A., (2003) Evaluation of Envisat data using a NWP system: a vortex-centred view. UNSPECIFIED

Conference or Workshop Item

Bannister, R.N. and Cullen, M.J.P. (2007) A regime-dependent balanced control variable based on potential vorticity. In: ECMWF Workshop on Flow-dependent aspects of data assimilation, 11-13 June 2007, ECMWF, Reading, UK, pp. 101-112.