Publications of the DARC group
Below a list of publications are given, but please realise that it is difficult to keep this up to date...
Please also visit individual's websites found on the who's who page.
2017|2016| 2015|2014| 2013| 2012| 2011| 2010|2017
- Janjic, T., Bormann, N., Bocquet, M., Carton, J. A., Cohn, S. E., Dance, S. L., Losa, S. N., Nichols, N. K., Potthast, R., Waller, J. A. and Weston, P. (2017) On the representation error in data assimilation. Quarterly Journal of the Royal Meteorological Society. ISSN 0035-9009 doi: 10.1002/qj.3130 (In Press)
- Waller, J.A., Dance, S.L., Nichols, N.K. On diagnosing observation error statistics with local ensemble data assimilation (2017), Q.J.R. Meteorol. Soc., Accepted. doi:10.1002/qj.3117
- Fowler, A. M., Dance, S. and Waller, J.: On the interaction of observation and a-priori error correlations in data assimilation. Q.J.R.Met.Soc. doi:10.1002/qj.3183
- Fowler, A. M.: A sampling method for the objective selection of IASI channels. Mon. Wea. Rev., 145, 709-725, https://doi.org/10.1175/MWR-D-16-0069.1
- Bannister R.N., A review of operational methods of variational and ensemble-variational data assimilation, Q.J.R. Meteor. Soc. 143, 607-633
- Volpi, D., Guemas, V., Doblas-Reyes, F. J., Hawkins, E. and Nichols, N. K. (2017) Decadal climate prediction with a refined anomaly initialisation approach. Climate Dynamics, 48 (5). pp. 1841-1853. ISSN 1432-0894 doi: 10.1007/s00382-016-3176-6
- Delahaies, S., Roulstone, I. and Nichols, N. (2017) Constraining DALECv2 using multiple data streams and ecological constraints: analysis and application. Geoscientific Model Development, 10 (7). pp. 2635-2650. ISSN 1991-9603 doi: 10.5194/gmd-10-2635-2017
- Bonan, B., Nichols, N. K., Baines, M. J. and Partridge, D. (2017) Data assimilation for moving mesh methods with an application to ice sheet modelling. Nonlinear Processes in Geophysics, 24 (3). pp. 515-534. ISSN 1023-5809 doi: 10.5194/npg-24-515-2017
- Pinnington, E. M., Casella, E., Dance, S. L., Lawless, A. S., Morison, J. I. L., Nichols, N. K., Wilkinson, M. and Quaife, T. L. (2017) Understanding the effect of disturbance from selective felling on the carbon dynamics of a managed woodland by combining observations with model predictions. Journal of Geophysical Research: Biogeosciences doi:10.1002/2017JG003760
- Cordoba, M., Dance, S. L., Kelly, G. A., Nichols, N. K. and Waller, J. A. (2017), Diagnosing atmospheric motion vector observation errors for an operational high-resolution data assimilation system. Q.J.R. Meteorol. Soc., 143: 333-341. doi:10.1002/qj.2925
- Smith, P.J., Lawless, A.S. and Nichols, N.K. (2017), Estimating forecast error covariances for strongly coupled atmosphere-ocean 4D-Var data assimilation. Monthly Weather Review, 145, 4011-4035. (Open access article)
- Howes, K.E., Fowler, A.M. and Lawless, A.S. (2016), Accounting for model error in strong-constraint 4DVar data assimilation, Quart. J. Royal Met. Soc. , 143, 1227-1240. (Open access article)
- Bonan, B., Baines, M., Nichols, N. and Partridge, D. (2016) A moving-point approach to model shallow ice sheets: a study case with radially symmetrical ice sheets. The Cryosphere, 10 (1). pp. 1-14. ISSN 1994-0424 doi: 10.5194/tc-10-1-2016
- Fowler, A. M. and Lawless, A.S.: Coupled atmosphere-ocean data assimilation in the presence of model error. Mon. Wea. Rev., 144, 4007-4030
- Pinnington, E. M., Casella, E., Dance, S. L., Lawless, A. S., Morison, J. I. L., Nichols, N. K., Wilkinson, M. and Quaife, T. L. Investigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using Four Dimensional Variational data assimilation. Agricultural and Forest Meteorology, 228-229. pp. 299-314. ISSN 0168-1923 doi:10.1016/j.agrformet.2016.07.006
- Waller, J. A., Ballard, S. P., Dance, S. L., Kelly, G., Nichols, N. K. and Simonin, D. (2016) Diagnosing horizontal and inter-channel observation error correlations for SEVIRI observations using observation-minus-background and observation-minus-analysis statistics. Remote Sensing, 8 (7). 851. ISSN 2072-4292 doi: 10.3390/rs8070581
- Waller, J. A., Simonin, D., Dance, S. L., Nichols, N. K. and Ballard, S. P. (2016) Diagnosing observation error correlations for Doppler radar radial winds in the Met Office UKV model using observation-minus-background and observation-minus-analysis statistics. Monthly Weather Review. ISSN 0027-0644 doi: 10.1175/MWR-D-15-0340.1
- Mason, D. C., Garcia-Pintado, J., Cloke, H. L. and Dance, S. L. (2016) Evidence of a topographic signal in surface soil moisture derived from ENVISAT ASAR wide swath data. International Journal of Applied Earth Observation and GeoInformation, 45. pp. 178-186. ISSN 0303-2434 doi:10.1016/j.jag.2015.02.004
- Waller, J. A., Dance, S. L. and Nichols, N. K. (2016) Theoretical insight into diagnosing observation error correlations using observation-minus-background and observation-minus-analysis statistics. Quarterly Journal of the Royal Meteorological Society, 142 (694). pp. 418-431. ISSN 1477-870X doi: 10.1002/qj.2661
- Mirza, A. K., Ballard, S. P., Dance, S. L., Maisey, P., Rooney, G. G. and Stone, E. K. (2016)Comparison of aircraft derived observations with in situ research aircraft measurements.Quarterly Journal of the Royal Meteorological Society. ISSN 1477-870X doi: 10.1002/qj.2864
- Hodyss, D. and Nichols, N. K. (2015) The error of representation: basic understanding. Tellus A, 67. 24822. ISSN 1600-0870 doi: 10.3402/tellusa.v67.24822 ( )
- Smith, P.J., Fowler, A.M. and Lawless, A.S.: Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere-ocean model. Tellus A , 67, 27025.
- Mason, D. C., Garcia-Pintado, J., Cloke, H. L. and Dance, S. L. (2015) The potential of flood forecasting using a variable-resolution global Digital Terrain Model and flood extents from Synthetic Aperture Radar images. Frontiers in Earth Science, 3. 43. ISSN 2296-6463 doi:10.3389/feart.2015.00043
- Garcia-Pintado, J., Mason, D., Dance, S. L., Cloke, H., Neal, J. C., Freer, J. and Bates, P. D. (2015)Satellite-supported flood forecasting in river networks: a real case study. Journal of Hydrology, 523. pp. 706-724. ISSN 0022-1694 doi: 10.1016/j.jhydrol.2015.01.084
- D. Hodyss and N.K. Nichols, Errors of representation: basic understanding, Tellus A, 67, 2015, 24822
- Ades M., P.J. van Leeuwen The effect of the Equivalent-weights particle Filter on model balances in a primitive equation model Mon. Wea. Rev., 143, 581-596.
- Javier GarcĂa-Pintado, David C. Mason, Sarah L. Dance, Hannah L. Cloke, Jeff C. Neal, Jim Freer, Paul D. Bates, Satellite-supported flood forecasting in river networks: A real case study, Journal of Hydrology, Volume 523, April 2015, Pages 706-724, ISSN 0022-1694, http://dx.doi.org/10.1016/j.jhydrol.2015.01.084.
- Ross Bannister, How is the Balance of a Forecast Ensemble Affected by Adaptive and Nonadaptive Localization Schemes?, Mon. Wea. Rev. 143, 3680-3699 (2015).
- Browne, P. A., Charlton-Perez, C. and Dance, S. L. (2014), RMetS Special Interest Group Meeting: high resolution data assimilation. Atmosph. Sci. Lett.doi: 10.1002/asl2.512
- (Invited) P.J. VanLeeuwen, M. Ades, A. Fowler, N.K. Nichols, J.A. Waller and Z. Stott, Advanced Methods in Data Assimilation: Addressing the Big Data Problem, In: Proceedings of the 2014 conference on Big Data from Space (BiDS'14), (eds. P. Soille and P.G. Marchetti) European Commission Joint Research Centre, European Union, Italy, pp. 12 - 15, 2014. (doi: 10.2788/1823)
- L. M. Stewart, S.L. Dance, N.K. Nichols, J. Eyre, J. Cameron, Estimating inter-channel observation error correlations for IASI radiance data in the Met Office system, Quarterly Journal of the Royal Meteorological Society, 140 Part B, 2014, 1236-1244.
- Baker, L. H., Rudd, A. C., Migliorini, S., and Bannister, R. N.: Representation of model error in a convective-scale ensemble prediction system, Nonlin. Processes Geophys., 21, 19-39, doi:10.5194/npg-21-19-2014.
- Prates, C., Migliorini, S., English, S. and Pavelin, E., Assimilation of satellite infrared sounding measurements in the presence of heterogeneous cloud fields. Q.J.R. Meteorol. Soc.. doi: 10.1002/qj.2279
- Waller, J.A., Dance, S.L., Lawless, A.S. and Nichols, N.K., Estimating correlated observation errors with an ensemble transform Kalman filter, Tellus A, 66, 23294
- P.J. van Leeuwen Particle filters for the Geosciences in 'Data Assimilation for the Geosciences', Oxford University Press Blue Book Series.
- Vaughan et al. (P.J. van Leeuwen) Cloud banding and winds in intense European cyclones: results from the DIAMET project Bulletin American Meteorol. Soc. ISSN 1520-0477.
- Ades M., P.J. van Leeuwen The Equivalent-weights Particle Filter in a high-dimensional system. Q.J.Royal.Met.Soc. .
- Amezcua, J., and P.J. van Leeuwen Gaussian anamorphosis in the analysis step of the EnKF: a joint state variable/observation approach. Tellus A, 66.
- Javier Garcia-Pintado, Jeff C. Neal, David C. Mason, Sarah L. Dance, Paul D. Bates. Scheduling satellite-based SAR acquisition for sequential assimilation of water level observations into flood modelling, J. Hydrology.
- L.M. Stewart, S.L. Dance and N.K. Nichols, Data assimilation with correlated observation errors: experiments with a 1-D shallow water model, Tellus A, 65, 2013, 19546 (14 pp).
- S. Migliorini (2013), Information-based data selection for ensemble data assimilation, Q.J.R. Meteorol. Soc., doi: 10.1002/qj.2104.
- Waller, J.A., Dance, S.L., Lawless, A.S., Nichols, N.K. and Eyre, J.R. Representativity error for temperature and humidity using the Met Office high resolution model. Quart. J. Royal Met. Soc., 140, 1189-1197.
- Folwer, A., and P.J. van Leeuwen Observation impact in data assimilation: the effect of non-Gaussian observation error. Tellus A, 65, 20035, http://dx.doi.org/10.3402/tullusa.v65i0.20035.
- Bianchi, B., P.J. van Leeuwen, R.J. Hogan, A. Berne A variational approach to retrieve rain rate by combining information from rain gauges, radars, and microwave links. J. Hydrology, accepted.
- Moodey, A.J.F, A.S. Lawless, R.W.E Potthast, and P.J. van Leeuwen Nonlinear error dynamics for cycled data assimilation methods. Inverse Problems, 29, 025002, doi:10.1088/0266-5611/29/2/025002.
- M A. Freitag, N.K. Nichols and C.J. Budd, Resolution of sharp fronts in the presence of model error in variational data assimilation, Quarterly Journal of the Royal Meteorological Society. 139 Part A, 2013, 742-757
- Ades, M., and P.J. Van Leeuwen, An exploration of the Equivalent-Weights Particle Filter Q. J. Royal Meteorol. Soc., 139.672,820-840.
- (Invited) N.K. Nichols, J.A. Waller, S.L. Dance, A.S. Lawless and J.R. Eyre, Incorporating Representativity Error in Data Assimilation, In: Mathematical and Algorithmic Aspects of Atmosphere-Ocean Data Assimilation, 2012, Mathematisches Forschungsinstitut Oberwolfach Report No. 58/2012, 2012, p. 33 - 35, (Published on-line: 17 January, 2013, doi:10.4171/OWR/2012/58).
- Kramer, W., H.A. Dijkstra, S. Pierini, and P.J. van Leeuwen (2012) Measuring the impact of observations on the predictability of the Kuroshio Extension in a shallow-water model. J. Phys. Oceanogr. 42, 3-17, doi:10.1175/JPO-D-11-014.1
- Van Leeuwen, P.J. and M. Ades (2012) Efficient fully nonlinear data assimilation for geophysical fluid dynamics. Computers and Geosciences, http://dx.doi.org/10.1016/j.cageo.2012.04.015.
- Vetra-Carvalho, S., Dixon, M., Migliorini, S., Nichols, N. K. and Ballard, S. P. (2012) Breakdown of hydrostatic balance at convective scales in the forecast errors in the Met Office Unified Model. Quarterly Journal of the Royal Meteorological Society. ISSN 1477-870X doi: 10.1002/qj.1925 (In Press)
- Smith, P. J., Thornhill, G. D., Dance, S. L., Lawless, A. S., Mason, D. C. and Nichols, N. K. (2012) Data assimilation for state and parameter estimation: application to morphodynamic modelling. Quarterly Journal of the Royal Meteorological Society. 139, 2013, 314-327.
- Van Leeuwen, P.J., and W.P.M. De Ruijter Reply to: 'A note on "The steadiness of separating meandering currents" ' , In Press, J. Physical Oceanogr.
- G.D. Thornhill, D.C. Mason, S.L. Dance, A.S. Lawless, N.K. Nichols and H.R. Forbes, Integration of a 3D Variational data assimilation scheme with a coastal area morphodynamic model of Morecambe Bay, Coastal Engineering, 69, 2012, 82-96.
- Rudd A. C., Robins, A. G., Lepley, J.J. and Belcher, S. E. (2012) An inverse method for determining source characteristics for emergency response applications Boundary-Layer Meteorology
- Rudd A. C., Roulstone, I. and Eyre, J. R. (2012) A simple column model to explore anticipated problems in variational assimilation of satellite observations Journal of Environmental Modelling & Software, 27-28: 23-39
- Migliorini, S. (2012), On the equivalence between radiance and retrieval assimilation. Mon. Wea. Rev., 140, 258-265. doi: http://dx.doi.org/10.1175/MWR-D-10-05047.1
- Fowler, A. and P.J. van Leeuwen (2012) Measures of observation impact in non-Gaussian data assimilation. Tellus A, 64, 17192.
- Fowler, A., Bannister, R., Eyre, J. (2012) A new floating model level scheme for the assimilation of boundary layer top inversions: The univariate assimilation of temperature. Q. J. R. Met. Soc., 138, 682-698.
- C.J. Budd, M.A. Freitag and N.K. Nichols, Regularization techniques for ill-posed inverse problems in data assimilation, Computers & Fluids, 46, 2011, 168 - 173.
- Haben, S., Lawless, A.S. and Nichols, N.K. (2011), Conditioning of incremental variational data assimilation, with application to the Met Office system. Tellus A, 63, 782-792.
- Boess, C., Lawless, A.S., Nichols, N.K. and Bunse-Gerstner, A. (2011), State estimation using model order reduction for unstable systems. Comput. Fluids, 46, 155-160.
- A.K. Kaiser-Weiss, S. Migliorini (2011), Quasi-optimal assimilation of satellite retrievals for incremental 4D-Var Computers & Fluids, Volume 46, Issue 1, 10th ICFD Conference Series on Numerical Methods for Fluid Dynamics (ICFD 2010), 287-292, doi: 10.1016/j.compfluid.2010.11.016.
- Haben, S., Lawless, A.S. and Nichols, N.K. (2011), Conditioning and Preconditioning of the Variational Data Assimilation Problem. Comput. Fluids, 46, 252-256.
- Bannister R.N.,(2011) Issues in the assimilation of the sources of a trace gas by inverse modelling. Computers & Fluids 46, 106-112.
- Katz D., Lawless A.S., Nichols N.K., Cullen M.J.P., Bannister R.N., (2011) Correlations of control variables in variational data assimilation. Quarterly Journal of the Royal Meteorological Society, 137, 620-630.
- Rennie, S. J., Dance, S. L., Illingworth, A. J., Ballard, S. and Simonin, D. (2011) 3D-Var assimilation of insect-derived Doppler radar radial winds in convective cases using a high resolution model. Monthly Weather Review, 139, 1148-1163
- J.A. Pocock, S.L. Dance and A.S. Lawless (2011) State Estimation using the Particle Filter with Mode Tracking . Computers and Fluids, 46, pp 392-397 doi:10.1016/j.compfluid.2011.02.009
- Brugge, R, Irvine, R., 2011: Readers' forum , Weather, 66 82. doi: 10.1002/wea.760
- G.M. Baxter, S.L. Dance, A.S. Lawless and N.K. Nichols, 2011: Four-dimensional variational data assimilation for high resolution nested models. Computers and Fluids, 46, pp137-141 doi: 10.1016/j.compfluid.2011.01.023
- Polly J. Smith, Sarah L. Dance, Nancy K. Nichols (2011) A hybrid data assimilation scheme for model parameter estimation: application to morphodynamic modelling. Computers and Fluids, 46, pp 436-441 doi:10.1016/j.compfluid.2011.01.010
- Migliorini, S., Dixon, M., Bannister, R., Ballard, S, 2011: Ensemble Prediction for Nowcasting with a Convection-Permitting Model. Part I: Description of the System and the Impact of Radar-Derived Surface Precipitation Rates. Tellus A, 63: 468-496. doi: 10.1111/j.1600-0870.2010.00503.x
- Bannister, R., Migliorini, S., Dixon, M, 2011: Ensemble prediction for nowcasting with a convection-permitting model. Part II: Forecast error statistics. Tellus A, 63: 497-512. doi: 10.1111/j.1600-0870.2010.00500.x
- Vetra-Carvalho S., Migliorini, S. and Nichols, N., 2011 Ensemble data assimilation in the presence of cloud. Comput Fluids, doi:10.1016/j.compfluid.2011.01.033
- 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, The Journal of Computers and Fluids, 46:387-391 DOI: 10.1016/j.compfluid.2011.01.037
- van Leeuwen, P.J., 2011. Efficient nonlinear Data Assimilation in Geophysical Fluid Dyn amics. Computers and Fluids, In Press, doi:10,1016/j.compfluid.2010.1\ 1.011.
- Nichols, N. K. (2010) Mathematical concepts of data assimilation. In: Lahoz, W., Khattatov, B. and Menard, R. (eds.) Data assimilation: making sense of observations. Springer, pp. 13-40. ISBN 9783540747024
- Brugge, R., 2010. A very wet day over Ireland Weather, 65, 298.
- Brugge, R., 2010: Forty years of the Climatological Observers Link Weather, 65, 139-143.
- Lawless, A.S. (2010) A note on the analysis error associated with 3D-FGAT Q.J.R.Meteorol. Soc., 136, 1094-1098.
- Fowler A.M., Bannister R.N., J. Eyre, 2010 Characterising the background errors for the boundary layer capping inversion. Australian Meteorological and Oceanographic Journal 59, pp. 17-24.
- Bannister R.N.,A.D. Fitt, J. Norbury, H. Ockendon, E. Wilson, (Ed.), 2010 The role of balance in data assimilation. Progress in Industrial Mathematics at ECMI, Mathematics in Industry Series, Vol. 15, 393-400, Springer, 1083 pp.
- Dance, S.L. and Q. P. Zou, 2010: HESS Opinions Ensembles, uncertainty and flood prediction Hydrol. Earth. Syst. Sci. Discuss., 7, 3591-3611 doi: 10.5194/hessd-7-3591-2010
- Rennie, S. J., A. J. Illingworth, and S. L. Dance, 2010: On the differentiation of ground clutter and insects using single-polarisation C-band radars. Atm. Meas. Tech. Discuss., 3, 1843-1860 www.atmos-meas-tech-discuss.net/3/1843/2010/
- D.C. Mason, T.R. Scott, S.L. Dance (2010) Remote sensing of intertidal morphological change in Morecambe Bay, U.K., between 1991 and 2007, Estuarine. Coastal and Shelf Science, Vol 87. No. 3 p487, DOI: 10.1016/j.ecss.2010.01.015.
- Rennie, S.J., Illingworth, A.J., Dance, S.L., Ballard, S. (2010) The accuracy of Doppler radar wind retrievals using insects as targets. Meteorological Applications, Vol. 17, No. 4, pp 419-432, DOI: 10.1002/met.174
- Petrie, R.E., and Dance, S.L. (2010) Ensemble-based data assimilation and the localisation problem. Weather, Vol 65, No. 3, pp65-69, DOI:10.1002/wea.505.
- Migliorini, S., Kaiser-Weiss, A., 2010 Quasi-optimal assimilation of satellite retrievals for incremental 4D-Var Computer & Fluids, in press,doi:10.1016/j.compfluid.2010.11.016.
- Potthast, R, 2010 Orthogonality Sampling for Object Visualization Inverse Problems.
- Potthast, R., Fazi, F. and Nelson, Ph., 2010 Source Splitting via the Point Source Method. Inverse Problems.
- Potthast, R., Ben Hassen, F., Erhard, K. , 2010 The singular sources method for 3d inverse acoustic obstacle scattering problems IMA J.Appl. Math.
- Potthast, R., Burkard, C., 2010 A multi-section approach for rough surface reconstruction via the Kirsch-Kress scheme Inverse Problems Vol. 26, No.4.
- van Leeuwen, P.J., 2010 Nonlinear Data Assimilation in geosciences: an extremely effic ient Particle Filter Q.J.R.Meteorol. Soc., 136, 1991-1996, doi:10,1002/qj699.
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