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. 
ORCID: https://orcid.org/0000-0002-6846-8297
(2024)
Variable-dependent and selective multivariate localization for ensemble-variational data assimilation in the tropics.
Monthly Weather Review, 152 (4).
pp. 1097-1118.
ISSN 1520-0493
doi: https://doi.org/10.1175/MWR-D-23-0201.1
Higgs, I., Skákala, J., Bannister, R. ORCID: https://orcid.org/0000-0002-6846-8297, 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. ORCID: https://orcid.org/0000-0002-6846-8297
(2023)
The Hydro-ABC model (version 2.0): a simplified convective-scale model with moist dynamics.
Geoscientific Model Development, 16 (21).
pp. 6067-6085.
ISSN 1991-9603
doi: https://doi.org/10.5194/gmd-16-6067-2023
Dong, B., Bannister, R. ORCID: https://orcid.org/0000-0002-6846-8297, 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. ORCID: https://orcid.org/0000-0003-2289-014X, Van Leeuwen, P. J., Bannister, R. ORCID: https://orcid.org/0000-0002-6846-8297, 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
Hu, G. ORCID: https://orcid.org/0000-0003-4305-3658, Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338, Bannister, R. N. ORCID: https://orcid.org/0000-0002-6846-8297, 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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297, 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. ORCID: https://orcid.org/0000-0002-6846-8297, 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. ORCID: https://orcid.org/0000-0002-5774-8410, 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. ORCID: https://orcid.org/0000-0002-6846-8297, 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. ORCID: https://orcid.org/0000-0002-6846-8297 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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297 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. ORCID: https://orcid.org/0000-0002-6846-8297, 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. ORCID: https://orcid.org/0000-0002-6846-8297 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. ORCID: https://orcid.org/0000-0002-3016-6568, Nichols, N. K. ORCID: https://orcid.org/0000-0003-1133-5220, Cullen, M. J. P. and Bannister, R. N. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297 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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297, Katz, D., Cullen, M. J. P., Lawless, A. S. ORCID: https://orcid.org/0000-0002-3016-6568 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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297 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. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297, Katz, D., Cullen, M. J. P., Lawless, A. S. ORCID: https://orcid.org/0000-0002-3016-6568 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. ORCID: https://orcid.org/0000-0002-6846-8297, 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. ORCID: https://orcid.org/0000-0002-6846-8297, 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. ORCID: https://orcid.org/0000-0002-6846-8297, Brugge, R. and O'Neill, A.,
(2003)
Evaluation of Envisat data using a NWP system: a vortex-centred view.
UNSPECIFIED
Bannister, R. ORCID: https://orcid.org/0000-0002-6846-8297
(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. ORCID: https://orcid.org/0000-0002-6846-8297 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 December 2024
