Article

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

Dey, S. R. A., Plant, R. S. ORCID: https://orcid.org/0000-0001-8808-0022, Roberts, N. M. and Migliorini, S. (2016) Assessing spatial precipitation uncertainties in a convective-scale ensemble. Quarterly Journal of the Royal Meteorological Society, 142 (701). pp. 2935-2948. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2893

Dey, S. R. A., Roberts, N. M., Plant, R. S. ORCID: https://orcid.org/0000-0001-8808-0022 and Migliorini, S. (2016) A new method for the characterisation and verification of local spatial predictability for convective scale ensembles. Quarterly Journal of the Royal Meteorological Society. ISSN 0035-9009 doi: https://doi.org/10.1002/qj.2792

Dey, S. R. A., Leoncini, G., Roberts, N. M., Plant, R. S. ORCID: https://orcid.org/0000-0001-8808-0022 and Migliorini, S. (2014) A spatial view of ensemble spread in convection permitting ensembles. Monthly Weather Review, 142 (11). pp. 4091-4107. ISSN 0027-0644 doi: https://doi.org/10.1175/MWR-D-14-00172.1

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')

Migliorini, S. (2013) Information-based data selection for ensemble data assimilation. Quarterly Journal of the Royal Meteorological Society, 139 (677). pp. 2033-2054. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2104

Vetra-Carvalho, S., Dixon, M., Migliorini, S., Nichols, N. K. ORCID: https://orcid.org/0000-0003-1133-5220 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, 138 (668). pp. 1709-1720. ISSN 1477-870X doi: https://doi.org/10.1002/qj.1925

Migliorini, S. (2012) On the equivalence between radiance and retrieval assimilation. Monthly Weather Review, 140 (1). pp. 258-265. ISSN 0027-0644 doi: https://doi.org/10.1175/MWR-D-10-05047.1

Vetra-Carvalho, S., Migliorini, S. and Nichols, N. ORCID: https://orcid.org/0000-0003-1133-5220 (2011) Ensemble data assimilation in the presence of cloud. Computers & Fluids, 46 (1). pp. 493-497. ISSN 0045-7930 doi: https://doi.org/10.1016/j.compfluid.2011.01.033

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

Migliorini, S., Dragani, R., Kaiser-Weiss, A. K., Brugge, R., Thepaut, J.N. and O'Neill, A. (2009) The GlobMODEL demonstrator: assimilation of new satellite products in an operational meteorological center. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2 (3). pp. 213-224. ISSN 1939-1404 doi: https://doi.org/10.1109/JSTARS.2009.2021770

Singh, R., Rayer, P., Saunders, R., Migliorini, S., Brugge, R. and O'Neill, A. (2009) A fast radiative transfer model for the assimilation of water vapor radiances from the Kalpana very high resolution radiometer. Geophysical Research Letters, 36. L08804. ISSN 0094-8276 doi: https://doi.org/10.1029/2009GL037852

Migliorini, S., Brugge, R., O'Neill, A., Dobber, M., Fioletov, V., Levelt, P. and McPeters, R. (2008) Evaluation of ozone total column measurements by the Ozone Monitoring Instrument using a data assimilation system. Journal of Geophysical Research, 113. D15S21. ISSN 0148-0227 doi: https://doi.org/10.1029/2007JD008779

Migliorini, S., Piccolo, C. and Rodgers, C. D. (2008) Use of the Information Content in Satellite Measurements for an Efficient Interface to Data Assimilation. Monthly Weather Review, 136. pp. 2633-2650. ISSN 0027-0644 doi: https://doi.org/10.1175/2007MWR2236.1

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

Lahoz, W. A., Brugge, R., Jackson, D. R., Migliorini, S., Swinbank, R., Lary, D. and Lee, A. (2005) An observing system simulation experiment to evaluate the scientific merit of wind and ozone measurements from the future SWIFT instrument. Quarterly Journal of the Royal Meteorological Society, 131 (606). pp. 503-523. ISSN 1477-870X

Migliorini, S., Piccolo, C. and Rodgers, C. D. (2004) Intercomparison of direct and indirect measurements: Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) versus sonde ozone profiles. Journal of Geophysical Research, 109. ISSN 0148-0227 doi: https://doi.org/10.1029/2003JD004012