Dr. Ross Bannister
Research Fellow (NCEO)
Responsibilities:
- Research Fellow (National Centre for Earth Observation).
- Lecturer of operational/advanced data assimilation (MSc).
Research Interests:
- Data assimilation.
- Covective-scale data assimilation.
- Inverse modelling.
- Background error covariance modelling.
- Parameter estimation.
Research Projects:
- National Centre for Earth Observation (NCEO) : A national programme to study, develop and promote remotely sensed data in the monitoring and study of the Earth system (NERC funded).
- Diabatic DIAbatic influences on Mesoscale structures in ExTratropical storms (DIAMET) : A project to improve the understanding and prediction of mesoscale structures in synoptic-scale storms (NERC funded).
- Flooding From Intense Rainfall (FFIR) : A project to improve the capability to forecast extreme flooding events, including developments in convective-scale data assimilation.
- Advanced data assimilation : A project to use convective-scale ensembles to understand the role of model error variability on the forecast errors (ESA funded).
Postdoctoral & graduate student supervision
- Dr Oscar Martinez-Alvarado Postdoctoral research fellow on FFIR project.
- Dr. Laura Baker Postdoctoral research fellow on DIAMET project (no longer employed on this project).
- Dr. Alison Rudd Postdoctoral research fellow on DIAMET project (no longer employed on this project).
- Dr. Ruth Petrie Past PhD student on convective scale data assimilation.
- Dr. Alison Fowler Past PhD student on adaptive boundary layer data assimilation.
Other interests
- Simplified models for data assimilation demonstration.
- Public understanding of science.
Centaur Publications
2024
Lee, J. C. K., Amezcua, J. and Bannister, R. N. (2024) Variable-dependent and selective multivariate localization for ensemble-variational data assimilation in the tropics. Monthly Weather Review. ISSN 1520-0493 doi: https://doi.org/10.1175/MWR-D-23-0201.1 (In Press)
Higgs, I., Skákala, J., Bannister, R., Carrassi, A. 
ORCID: https://orcid.org/0000-0003-0722-5600 and Ciavatta, S.
(2024)
Investigating ecosystem connections in the shelf sea environment using complex networks.
Biogeosciences, 21 (3).
pp. 731-746.
ISSN 1726-4189
doi: https://doi.org/10.5194/bg-21-731-2024
2023
Zhu, J. and Bannister, R. N. (2023) The “Hydro-ABC model” (Vn 2.0): a simplified convective-scale model with moist dynamics. Geoscientific Model Development. ISSN 1991-9603 doi: https://doi.org/10.5194/egusphere-2022-1436 (In Press)
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
Williams, N., Byrne, N., Feltham, D., Van Leeuwen, P. J., Bannister, R., Schroeder, D. ORCID: https://orcid.org/0000-0003-2351-4306, Ridout, A. and Nerger, L.
(2023)
The effects of assimilating a sub-grid scale sea ice thickness distribution in a new Arctic sea ice data assimilation system.
The Cryosphere, 17 (6).
pp. 2509-2532.
ISSN 1994-0424
doi: https://doi.org/10.5194/tc-17-2509-2023
(In Press)
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
2022
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
2021
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
2020
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. ORCID: https://orcid.org/0000-0002-5285-0379
(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
2019
Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338, Ballard, S. P., Bannister, R. N., Clark, P. ORCID: https://orcid.org/0000-0003-1001-9226, Cloke, H. L. ORCID: https://orcid.org/0000-0002-1472-868X, Darlington, T., Flack, D. L. A., Gray, S. L. ORCID: https://orcid.org/0000-0001-8658-362X, Hawkness-Smith, L., Husnoo, N., Illingworth, A. J., Kelly, G. A., Lean, H. W., Li, D., Nichols, N. K. ORCID: https://orcid.org/0000-0003-1133-5220, Nicol, J. C., Oxley, A., Plant, R. S. ORCID: https://orcid.org/0000-0001-8808-0022, 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
2018
Bannister, R. N., Migliorini, S., Rudd, A. C. and Baker, L. H. ORCID: https://orcid.org/0000-0003-0738-9488
(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
2017
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
2015
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
2014
Baker, L. ORCID: https://orcid.org/0000-0003-0738-9488, 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')
2012
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
2011
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. ORCID: https://orcid.org/0000-0003-1133-5220, 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
2010
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
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
2008
Bannister, R. N., Katz, D., Cullen, M. J. P., Lawless, A. S. and Nichols, N. K. ORCID: https://orcid.org/0000-0003-1133-5220
(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
2007
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.
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
Bannister, R. N., Katz, D., Cullen, M. J. P., Lawless, A. S. and Nichols, N. K. ORCID: https://orcid.org/0000-0003-1133-5220
(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.
2006
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
2004
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
2003
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
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
2000
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
Last update: 6th November 2023
