Publications

Peer reviewed publications

• Bannister R.N., d'Ambrumenil N., Spectral functions of half-filled one-dimensional Hubbard rings with varying boundary conditions, Phys. Rev. B 61 (7), pp. 4651-4658 (2000).
• Bannister R.N., The method of least squares used to invert an orbit problem, American Journal of Physics 71 (12) pp. 1268-1275 (2003).
• Bannister R.N., O'Neil A., Gregory A.R., Nissen K.M., The role of the S.E. Asian Monsoon and other seasonal features in creating the 'tape-recorder' signal in the Unified Model, Quarterly Journal of the Royal Meteorological Society 130, pp. 1531-1554 (2004).
• Geer A.J., Peubey C., Bannister R.N., Brugge R., Jackson D.R., Lahoz W.A., Migliorini S., O'Neill A., Swinbank R., 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, pp. 231-257 (2006).
• Bannister R.N., Can Wavelets Improve the Representation of Forecast Error Covariances in Variational Data Assimilation?, Monthly Weather Review 135, pp. 387-408 (2007).
• Bannister R.N., Katz D., Cullen M.J.P., Lawless A.S., Nichols, N., Modelling of forecast errors in geophysical fluid flows, International Journal for Numerical Methods in Fluids 56, pp. 1147-1153 (2007).
• Bannister R.N., 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, 1951-1970 (2008).
• Bannister R.N., 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, 1971-1996 (2008).
• Bannister R.N., The role of balance in data assimilation. in A.D. Fitt, J. Norbury, H. Ockendon, E. Wilson, (Ed.) Progress in Industrial Mathematics at ECMI, Mathematics in Industry Series, Vol. 15, 393-400, Springer, 1083 pp. (2010).
• Fowler A.M., Bannister R.N., J. Eyre, Characterising the background errors for the boundary layer capping inversion, Australian Meteorological and Oceanographic Journal 59, pp. 17-24 (2010).
• Migliorini S., Dixon M., Bannister R.N. and Ballard, S., Ensemble prediction for nowcasting with a convection-permitting model - I: description of the system and the impact of radar-derived surface precipitation rates, Tellus 63A, 468-496 (2011).
• Bannister R.N., Migliorini S. and Dixon M. A. G., Ensemble prediction for nowcasting with a convection-permitting model - II: forecast error statistics, Tellus 63A, 497-512 (2011).
• Bannister R.N., Issues in the assimilation of the sources of a trace gas by inverse modelling, Computers & Fluids 46, 106-112 (2011).
• Petrie R.E., Bannister R.N., 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, 387-391 (2011).
• Katz D., Lawless A.S., Nichols N.K., Cullen M.J.P., Bannister R.N., Correlations of control variables in variational data assimilation, Quarterly Journal of the Royal Meteorological Society, 137, 620-630 (2011).
• Fowler A.M., Bannister R.N., J. Eyre, A new floating model level scheme for the assimilation of boundary layer top inversions: The uni-variate assimilation of temperature, Q.J.R. Meteor. Soc. 138, 682-698 (2012).
• Baker L., Rudd A., Migliorini S. and Bannister R., Representation of model error in a convective-scale ensemble prediction system. Nonlinear Processes in Geophysics, 21. pp. 19-39. ISSN 1023-5809 doi: 10.5194/npg-21-19-2014 (special issue 'Ensemble methods in geophysical sciences') (2014).
• Bannister R.N., How is the Balance of a Forecast Ensemble Affected by Adaptive and Nonadaptive Localization Schemes?, Mon. Wea. Rev. 143, 3680-3699 (2015).
• Bannister R.N., A review of operational methods of variational and ensemble-variational data assimilation, Q.J.R. Meteor. Soc. 143, 607-633 (2017).
• Petrie R.E., Bannister R.N., and Cullen M.J.P., The "ABC model": a non-hydrostatic toy model for use in convective-scale data assimilation investigations, Geosci. Model Dev. 10, 4419-4441 (2017).
• 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., Waller J.A., 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 (2019).
• Bannister R.N., Chipilski H., Martinez-Alvarado O., 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), 1-48 (2020).
• Bannister R.N., 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, 3789--3816 (2020).
• Bannister R.N., Balance conditions in variational data assimilation for a high-resolution forecast model, Quarterly Journal of the Royal Meteorological Society 147, 2917--2934 (2021).
• Lee J.C.K., Amezcua J., Bannister R.N., Hybrid ensemble-variational data assimilation in ABC-DA within a tropical framework, Geoscientific Model Development 15 6197--6219 (2022).
• Hu G., Dance S.L., Bannister R.N., Chipilski H.G., Guillet O., Macpherson B., Weissmann M., Yussouf N., 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, e1130 (2022).
• Williams N., Byrne N., Feltham D., Van Leeuwen P.-J., Bannister R., Schroeder D., Ridout A., Nerger L., The effects of assimilating a sub-grid scale sea ice thickness distribution in a new Arctic sea ice data assimilation system, The Cryosphere (2023).
• Dong B., Bannister R., Chen Y., Fowler A., Haines K., Simplified Kalman smoother and ensemble Kalman smoother for improving reanalyses, Geosci. Model Dev. 16, 4233-4247 (2023).
• Zhu J., Bannister R.N., The "Hydro-ABC model" (Vn 2.0): a simplified convective-scale model with moist dynamics, Geosci. Model Dev. 16, 6067-6085 (2023).
• Higgs I., Skakala J., Bannister R., Carrassi A., Ciavatta S., Investigating ecosystem connections in the shelf sea environment using complex networks, Biogeosciences 21, 731-746 (2024).

Non-peer reviewed publications

• Bannister R.N., Elementary 4d VAR, DARC technical report #2, Oct. 2001.
• Bannister R.N., Layer averaging operators for 3dVar - T, O3, RH, DARC technical report #3, Jan. 2002.
• Bannister R.N., On control variable transforms in the Met Office 3d and 4d Var., and a description of the proposed waveband summation transformation, DARC technical report #5, Feb. 2003.
• Bannister R.N., Cullen M.J.P., The implementation of a PV-based leading control variable in variational data assimilation. Part 1: transforms, DARC technical report #6, Jan. 2006.
• Bannister R.N., Collection of results on background error covariance models, DARC technical report #7, Nov. 2007.
• Bannister R.N., Cullen M.J.P., A regime-dependent balanced control variable based on potential vorticity, Proceedings of the ECMWF Workshop on Flow-dependent aspects of data assimilation, 11-13 June 2007, 101-112.
• Bannister R.N., A reduced rank Kalman filter, Nov. 2009.
• Bannister R.N., Migliorini S., Rudd A.C., Baker L.H., Methods of investigating forecast error sensitivity to ensemble size in a limited-area convection-permitting ensemble, Geoscientific Model Development Discussions, doi.org/10.5194/gmd-2017-260 (2017).
• Bannister R.N., We need to talk about data assimilation, FRANC Blog (2017).
• Bannister R.N., Don't (always) blame the weather forecaster, UoR, Dept of Meteorology blog (2019).
• Bannister R.N., Shedding some light on DARC, DARC Blog (Nov 2023).

Talks given

• CGAM Group Meeting, 1999.
• Research Day #1, July 1999.
• Water Vapour Workshop, 1999.
• UGAMP Meeting, Oxford, Sep. 1999.
• Brewer-Dobson Meeting, Oxford, Dec. 1999.
• Dept. Seminar at Oxford, Jun. 2000.
• UGAMP Meeting, Royal Inst. London, Sep. 2000.
• Lunchtime Seminar, Dec. 2000.
• EGS, Nice, Mar. 2001.
• DARC Science Meeting, May 2001.
• Research Day #2, July 2001.
• CGAM Group Meeting, Oct. 2001.
• NERC Data Assim. Meeting, ECMWF, Jan. 2002.
• PhD Project summary (internal candidates), Jan. 2002.
• MSc Lecture 3d-Var. Part 1, Feb. 2002.
• MSc Lecture 3d-Var. Part 2, Feb. 2002.
• PhD Project summary (external candidates), Mar. 2002.
• UGAMP Meeting, Cambridge, April 2002.
• EGS, Nice, Apr. 2002.
• Departmental Seminar, Oct. 2002.
• Met Office meeting at Reading (J. Eyre's group), Oct. 2002.
• Statistics workshop at Reading, Oct. 2002.
• DARC PI meeting work summary, Nov. 2002.
• MSc Lecture 3d-Var. Part 1, Feb. 2003.
• MSc Lecture 3d-Var. Part 2, Feb. 2003.
• National Science Week, 12th March 2003.
• Earth Observation Conference, 2nd April 2003.
• Royal Met. Soc. Wednesday meeting, London, 16th April 2003.
• Research Day #3, July 2003.
• UGAMP/RMS conference, UEA, September 2003.
• ICFD Inverse problems, 17th September 2003.
• DARC SA science meeting, 26th September 2003.
• Progress with B work, Exeter, 4th November 2003.
• JCMM/DARC meeting, 2nd December 2003.
• SA-DARC meeting, 5th February 2004.
• MSc Lecture 3d-Var. Part 1, Feb. 2004.
• MSc Lecture 3d-Var. Part 2, Feb. 2004.
• Oxford/RAL spring school, March 2004.
• EO Conference, Plymouth, June 2004.
• Talk to lower sixth students, July 2004.
• Exeter conference on b/g errors, Sept. 2004.
• CTCD, Sheffield, Oct. 2004.
• Reading Fellowship seminar, Dec. 2004.
• Met Office B seminar (WS), Jan 10th 2005.
• MSc lecture 1, Feb. 2005.
• MSc lecture 2, Feb. 2005.
• HESSS 2005 (talk to sixth form students - chaos), July 2005.
• RMetS talk in Exeter, Sept. 2005.
• SSC Talk in Reading, Nov. 2005.
• MSc lecture, Feb. 2006.
• PhD day talk, March 2006.
• Research Day #4, March 2006.
• DARC PI meeting, Aug. 2006.
• ES4 Summer School, Lecture 1, Bristol, Sept. 2006.
• ES4 Summer School, Lecture 2, Bristol, Sept. 2006.
• MSc lecture 1, Feb. 2007.
• MSc lecture 2, Feb. 2007.
• Education Show, NEC, March 2007.
• ICFD Conference, Reading, March 2007.
• ECMWF flow dependent workshop, Reading, June 2007.
• MSc lecture 1, Jan. 2008.
• MSc lecture 2, Jan. 2008.
• MSc lecture 3, March 2008.
• MSc lecture 4, March 2008.
• ECMI Conference, UCL, June 2008.
• Dept. seminar, Reading, Oct. 2008.
• NCEO Theme 4 kick-off meeting, Nov. 2008.
• MSc lecture 1, Feb. 2009.
• MSc lecture 2, Feb. 2009.
• Research day #5, March 2009.
• SRNWP talk, Exeter, June 2009.
• RMetS, Reading, July 2009.
• NCEO data assimilation day, July 2009.
• MSc lecture 1, Feb. 2010.
• MSc lecture 2, Feb. 2010.
• ES4 spring school lecture, Scarborough, April 2010.
• RMetS forecast error review, April 2010.
• ICFD conference, Reading, April 2010.
• Surrey NCEO data assimilation training talk, July 2010.
• NCAS measurement summer school, Arran, September 2010.
• NCEO conference talk, Leicester, September 2010.
• DIAMET project meeting, Manchester, November 2010.
• Met Office EnDA strategy meeting, Reading-Exeter, February 2011.
• MSc lectures (9), January, February, March 2011.
• ISRO presentation, March 2011.
• ES4 spring school lecture, Cambridge, April 2011.
• DARC meeting, May 2011.
• DIAMET project meeting, June 2011.
• Talk to sixth form students, June 2011.
• Reading NCEO data assimilation training talk, July 2011.
• Durham DA maths symposium, August 2011.
• NCAS measurement summer school, Arran, September 2011.
• Talk about DIAMET work in DARC meeting, February 2012.
• MSc lectures (10), January, February, March 2012.
• ES4 spring school lecture, Southampton, March 2012.
• NCEO Data Assimilation Workshop, Leicester, April 2012.
• Flood proposal meeting, October 2012.
• DIAMET meeting, Manchester, November 2012.
• Research day, January 2013.
• MSc lectures (9), January, February, March 2013.
• DIAMET meeting, Reading, February 2013.
• DIAMET meeting, Manchester, March 2013.
• DARC meeting, parameter estimation, March 2013.
• ES4 spring school, Edinburgh, April 2013.
• SRM/CWC talk in Oxford, May 2013.
• Convective DA / ensembles meeting, MetO, May 2013.
• Mesoscale meeting, Reading, May 2013.
• Model error in ensembles, ESA Living Planet, Sep 2013.
• Localization, ESA Living Planet, Sep 2013.
• MSc lectures (10), January, February, March 2014.
• BG Group, February 2014.
• ES4 spring school, Lancaster, March/April 2014.
• Warwick/Reading DA conference, May 2014.
• NERC DA course, September 2014 (2 lectures).
• Leeds probability and financial maths seminar, Oct 2014.
• MSc lectures (10), February, March 2015.
• FFIR Integration workshop, Exeter Uni, April 2015.
• Outreach talk, Reading, November 2015.
• Outreach talk, Reading, February 2016.
• Stand-in lectures (2) for PC - DA in NWP, March 2016.
• ECMWF/UoR course lectures (2), March 2016.
• MSc lectures (10), February, March 2016.
• NCEO Conference, Univ. of Warwick, June 2016.
• ECMWF/UoR course lectures (2), March 2017.
• ECMWF/UoR course lectures (2), March 2018.
• NERC Data Assimilation day, June 2018.
• NCEO Annual Conference, Univ. of Birmingham, Sep 2018.
• ECMWF/UoR course lectures (2), March 2019.
• Convective-scale workshop, Leeds, May 2019.
• NCEO ISAB, Leicester, July 2019.
• NCEO Annual Conference, Nottingham Trent Univ., Sep 2019.
• Lecture on data assimilation at turbulence workshop, IC, London, Dec 2019.
• Carbon theme debriefing, Jan 2020.
• ECMWF/UoR course lectures (2), Feb 2020.
• EGU solicited talk, April 2021.
• ECMWF/UoR course lectures (2), May 2021.
• RMetS special interest group talk on convective scale data assimilation, November 2021.
• NCEO/UoR course lectures (3), June 2022.
• NCEO conference, Leicester Space Centre, Sept 2022.
• DARC seminar, Oct 2022.
• ECMWF/UoR course lectures (4), May 2023.
• NPOP conference, Reading, July 2023.

Impending talks and posters