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Joanne Waller
Joanne Waller
Verified email at metoffice.gov.uk
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Year
On the representation error in data assimilation
T Janjić, N Bormann, M Bocquet, JA Carton, SE Cohn, SL Dance, ...
Quarterly Journal of the Royal Meteorological Society 144 (713), 1257-1278, 2018
287*2018
Theoretical insight into diagnosing observation error correlations using observation‐minus‐background and observation‐minus‐analysis statistics
JA Waller, SL Dance, NK Nichols
Quarterly Journal of the Royal Meteorological Society 142 (694), 418-431, 2016
962016
Diagnosing observation error correlations for Doppler radar radial winds in the Met Office UKV model using observation-minus-background and observation-minus-analysis statistics
JA Waller, D Simonin, SL Dance, NK Nichols, SP Ballard
Monthly Weather Review 144 (10), 3533-3551, 2016
842016
Diagnosing horizontal and inter-channel observation error correlations for SEVIRI observations using observation-minus-background and observation-minus-analysis statistics
JA Waller, SP Ballard, SL Dance, G Kelly, NK Nichols, D Simonin
Remote sensing 8 (7), 581, 2016
742016
Diagnosing atmospheric motion vector observation errors for an operational high‐resolution data assimilation system
M Cordoba, SL Dance, GA Kelly, NK Nichols, JA Waller
Quarterly Journal of the Royal Meteorological Society 143 (702), 333-341, 2017
682017
Representativity error for temperature and humidity using the Met Office high‐resolution model
JA Waller, SL Dance, AS Lawless, NK Nichols, JR Eyre
Quarterly Journal of the Royal Meteorological Society 140 (681), 1189-1197, 2014
682014
On the interaction of observation and prior error correlations in data assimilation
AM Fowler, SL Dance, JA Waller
Quarterly Journal of the Royal Meteorological Society 144 (710), 48-62, 2018
472018
Estimating correlated observation error statistics using an ensemble transform Kalman filter
JA Waller, SL Dance, AS Lawless, NK Nichols
Tellus A: Dynamic Meteorology and Oceanography 66 (1), 23294, 2014
412014
A pragmatic strategy for implementing spatially correlated observation errors in an operational system: An application to Doppler radial winds
D Simonin, JA Waller, SP Ballard, SL Dance, NK Nichols
Quarterly Journal of the Royal Meteorological Society 145 (723), 2772-2790, 2019
372019
On diagnosing observation‐error statistics with local ensemble data assimilation
JA Waller, SL Dance, NK Nichols
Quarterly Journal of the Royal Meteorological Society 143 (708), 2677-2686, 2017
332017
Collecting and utilising crowdsourced data for numerical weather prediction: Propositions from the meeting held in Copenhagen, 4–5 December 2018
KS Hintz, K O'Boyle, SL Dance, S Al‐Ali, I Ansper, D Blaauboer, M Clark, ...
Atmospheric Science Letters 20 (7), e921, 2019
322019
The conditioning of least‐squares problems in variational data assimilation
JM Tabeart, SL Dance, SA Haben, AS Lawless, NK Nichols, JA Waller
Numerical Linear Algebra with Applications 25 (5), e2165, 2018
292018
Improving the condition number of estimated covariance matrices
JM Tabeart, SL Dance, AS Lawless, NK Nichols, JA Waller
Tellus A: Dynamic Meteorology and Oceanography 72 (1), 1-19, 2020
282020
Improvements in forecasting intense rainfall: Results from the FRANC (Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection) project
SL Dance, SP Ballard, RN Bannister, P Clark, HL Cloke, T Darlington, ...
Atmosphere 10 (3), 125, 2019
282019
Recommendations for improving integration in national end-to-end flood forecasting systems: An overview of the FFIR (Flooding From Intense Rainfall) programme
DLA Flack, CJ Skinner, L Hawkness-Smith, G O’Donnell, RJ Thompson, ...
Water 11 (4), 725, 2019
262019
Observation error statistics for Doppler radar radial wind superobservations assimilated into the DWD COSMO-KENDA system
JA Waller, E Bauernschubert, SL Dance, NK Nichols, R Potthast, ...
Monthly Weather Review 147 (9), 3351-3364, 2019
222019
Assessment of observation quality for data assimilation in flood models
JA Waller, J García-Pintado, DC Mason, SL Dance, NK Nichols
Hydrology and Earth System Sciences 22 (7), 3983-3992, 2018
17*2018
State estimation using the particle filter with mode tracking
JA Pocock, SL Dance, AS Lawless
Computers & fluids 46 (1), 392-397, 2011
172011
The impact of using reconditioned correlated observation‐error covariance matrices in the Met Office 1D‐Var system
JM Tabeart, SL Dance, AS Lawless, S Migliorini, NK Nichols, F Smith, ...
Quarterly Journal of the Royal Meteorological Society 146 (728), 1372-1390, 2020
142020
Using observations at different spatial scales in data assimilation for environmental prediction
JA Waller
University of Reading, Department of Mathematics and Statistics (School of …, 2013
142013
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Articles 1–20