{"id":422,"date":"2024-01-11T14:51:56","date_gmt":"2024-01-11T14:51:56","guid":{"rendered":"https:\/\/research.reading.ac.uk\/met-office-academic-partnership\/?page_id=422"},"modified":"2024-01-11T14:53:29","modified_gmt":"2024-01-11T14:53:29","slug":"maths-stats","status":"publish","type":"page","link":"https:\/\/research.reading.ac.uk\/met-office-academic-partnership\/maths-stats\/","title":{"rendered":"Maths & Stats Publications"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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Reference<\/td>\n<\/tr>\n
Francis, D.J., Fowler, A.M., Lawless, A.S. and 2 more (…) (2023).The effective use of anchor observations in variational bias correction in the presence of model bias. Quarterly Journal of the Royal Meteorological Society,149(754) 1789-1809<\/td>\n<\/tr>\n
Leung, T.Y., Lawless, A.S., Nichols, N.K. and 2 more (…) (2022).The impact of hybrid oceanic data assimilation in a coupled model: A case study of a tropical cyclone. Quarterly Journal of the Royal Meteorological Society,148(746) 2410-2430<\/td>\n<\/tr>\n
Eyring, V., Bock, L., Lauer, A. and 50 more (…) (2020).Earth System Model Evaluation Tool (ESMValTool) v2.0 – An extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP. Geoscientific Model Development,13(7) 3383-3438<\/td>\n<\/tr>\n
Pinnington, E., Quaife, T., Lawless, A. and 3 more (…) (2020).The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0. Geoscientific Model Development,13(1) 55-69<\/td>\n<\/tr>\n
Tabeart, J.M., Dance, S.L., Lawless, A.S. and 4 more (…) (2020).The impact of using reconditioned correlated observation-error covariance matrices in the Met Office 1D-Var system. Quarterly Journal of the Royal Meteorological Society,146(728) 1372-1390<\/td>\n<\/tr>\n
Cafaro, C., Frame, T.H.A., Methven, J. and 2 more (…) (2019).The added value of convection-permitting ensemble forecasts of sea breeze compared to a Bayesian forecast driven by the global ensemble. Quarterly Journal of the Royal Meteorological Society,145(721) 1780-1798<\/td>\n<\/tr>\n
Dance, S.L., Ballard, S.P., Bannister, R.N. and 20 more (…) (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)<\/td>\n<\/tr>\n
DI Girolamo, P., Behrendt, A., Wulfmeyer, V. and 13 more (…) (2018).Introducing the atmospheric thermodynamics lidar in space: Atlas. Proceedings of SPIE – The International Society for Optical Engineering,11180<\/td>\n<\/tr>\n
Illingworth, A.J., Battaglia, A., Bradford, J. and 17 more (…) (2018).A new satellite concept to provide global in-cloud winds, precipitation, and cloud properties. Bulletin of the American Meteorological Society,99(8) 1669-1687<\/td>\n<\/tr>\n
Kwon, I.-H., English, S., Bell, W. and 3 more (…) (2018).Assessment of progress and status of data assimilation in numerical weather prediction. Bulletin of the American Meteorological Society,99(5) ES75-ES79<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

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