| Year |
Citation |
Score |
| 2020 |
Tabeart JM, Dance SL, Lawless AS, Migliorini S, Nichols NK, Smith F, Waller JA. 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: 1372-1390. DOI: 10.1002/Qj.3741 |
0.371 |
|
| 2019 |
Cooper ES, Dance SL, García-Pintado J, Nichols NK, Smith PJ. Observation operators for assimilation of satellite observations in fluvial inundation forecasting Hydrology and Earth System Sciences. 23: 2541-2559. DOI: 10.5194/Hess-23-2541-2019 |
0.377 |
|
| 2019 |
Dance SL, Ballard SP, Bannister RN, Clark P, Cloke HL, Darlington T, Flack DLA, Gray SL, Hawkness-Smith L, Husnoo N, Illingworth AJ, Kelly GA, Lean HW, Li D, Nichols NK, et al. Improvements in Forecasting Intense Rainfall: Results from the FRANC (Forecasting Rainfall Exploiting New Data Assimilation Techniques and Novel Observations of Convection) Project Atmosphere. 10: 125. DOI: 10.3390/Atmos10030125 |
0.423 |
|
| 2019 |
Waller JA, Bauernschubert E, Dance SL, Nichols NK, Potthast R, Simonin D. Observation error statistics for Doppler Radar radial wind superobservations assimilated into the DWD COSMO-KENDA system Monthly Weather Review. 147: 3351-3364. DOI: 10.1175/Mwr-D-19-0104.1 |
0.374 |
|
| 2019 |
Simonin D, Waller JA, Ballard SP, Dance SL, Nichols NK. A pragmatic strategy for implementing spatially correlated observation errors in an operational system: An application to Doppler radial winds Quarterly Journal of the Royal Meteorological Society. 145: 2772-2790. DOI: 10.1002/Qj.3592 |
0.448 |
|
| 2019 |
Hintz KS, O'Boyle K, Dance SL, Al‐Ali S, Ansper I, Blaauboer D, Clark M, Cress A, Dahoui M, Darcy R, Hyrkkanen J, Isaksen L, Kaas E, Korsholm US, Lavanant M, et al. Collecting and utilising crowdsourced data for numerical weather prediction: propositions from the meeting held in Copenhagen, 4–December 5, 2018 Atmospheric Science Letters. 20. DOI: 10.1002/Asl.921 |
0.329 |
|
| 2018 |
Waller JA, García-Pintado J, Mason DC, Dance SL, Nichols NK. Technical note: Assessment of observation quality for data assimilation in flood models Hydrology and Earth System Sciences. 22: 3983-3992. DOI: 10.5194/Hess-22-3983-2018 |
0.465 |
|
| 2018 |
Waller JA, Garcia-Pintado J, Mason DC, Dance SL, Nichols NK. Technical note: analysis of observation uncertainty for flood assimilation and forecasting Hydrology and Earth System Sciences Discussions. 1-13. DOI: 10.5194/Hess-2018-43 |
0.463 |
|
| 2018 |
Cooper ES, Dance SL, García-Pintado J, Nichols NK, Smith PJ. Observation impact, domain length and parameter estimation in data assimilation for flood forecasting Environmental Modelling and Software. 104: 199-214. DOI: 10.1016/J.Envsoft.2018.03.013 |
0.363 |
|
| 2018 |
Fowler A, Dance S, Waller J. On the interaction of observation and prior error correlations in data assimilation Quarterly Journal of the Royal Meteorological Society. 144: 48-62. DOI: 10.1002/Qj.3183 |
0.447 |
|
| 2018 |
Janjić T, Bormann N, Bocquet M, Carton JA, Cohn SE, Dance SL, Losa SN, Nichols NK, Potthast R, Waller JA, Weston P. On the representation error in data assimilation Quarterly Journal of the Royal Meteorological Society. 144: 1257-1278. DOI: 10.1002/Qj.3130 |
0.415 |
|
| 2018 |
Tabeart JM, Dance SL, Haben SA, Lawless AS, Nichols NK, Waller JA. The conditioning of least‐squares problems in variational data assimilation Numerical Linear Algebra With Applications. 25. DOI: 10.1002/Nla.2165 |
0.435 |
|
| 2017 |
Waller JA, Dance SL, Nichols NK. On diagnosing observation-error statistics with local ensemble data assimilation Quarterly Journal of the Royal Meteorological Society. 143: 2677-2686. DOI: 10.1002/Qj.3117 |
0.441 |
|
| 2017 |
Cordoba M, Dance SL, Kelly GA, Nichols NK, Waller JA. Diagnosing atmospheric motion vector observation errors for an operational high‐resolution data assimilation system Quarterly Journal of the Royal Meteorological Society. 143: 333-341. DOI: 10.1002/Qj.2925 |
0.467 |
|
| 2017 |
Pinnington EM, Casella E, Dance SL, Lawless AS, Morison JIL, Nichols NK, Wilkinson M, Quaife TL. 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. 122: 886-902. DOI: 10.1002/2017Jg003760 |
0.302 |
|
| 2016 |
Waller JA, Ballard SP, Dance SL, Kelly G, Nichols NK, Simonin D. Diagnosing horizontal and inter-channel observation error correlations for SEVIRI observations using observation-minus-background and observation-minus-analysis statistics Remote Sensing. 8: 581. DOI: 10.3390/Rs8070581 |
0.408 |
|
| 2016 |
Waller JA, Simonin D, Dance SL, Nichols NK, Ballard SP. 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. 144: 3533-3551. DOI: 10.1175/Mwr-D-15-0340.1 |
0.472 |
|
| 2016 |
Pinnington EM, Casella E, Dance SL, Lawless AS, Morison JIL, Nichols NK, Wilkinson M, Quaife TL. 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: 299-314. DOI: 10.1016/J.Agrformet.2016.07.006 |
0.461 |
|
| 2016 |
Mirza AK, Ballard SP, Dance SL, Maisey P, Rooney GG, Stone EK. Comparison of aircraft-derived observations with in situ research aircraft measurements Quarterly Journal of the Royal Meteorological Society. 142: 2949-2967. DOI: 10.1002/Qj.2864 |
0.389 |
|
| 2016 |
Waller JA, Dance SL, Nichols NK. Theoretical insight into diagnosing observation error correlations using observation-minus-background and observation-minus-analysis statistics Quarterly Journal of the Royal Meteorological Society. 142: 418-431. DOI: 10.1002/Qj.2661 |
0.443 |
|
| 2015 |
Mason DC, Garcia-Pintado J, Cloke HL, Dance SL. 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. DOI: 10.3389/Feart.2015.00043 |
0.396 |
|
| 2015 |
García-Pintado J, Mason DC, Dance SL, Cloke HL, Neal JC, Freer J, Bates PD. Satellite-supported flood forecasting in river networks: A real case study Journal of Hydrology. 523: 706-724. DOI: 10.1016/J.Jhydrol.2015.01.084 |
0.392 |
|
| 2014 |
Waller JA, Dance SL, Lawless AS, Nichols NK. Estimating correlated observation error statistics using an ensemble transform Kalman filter Tellus, Series a: Dynamic Meteorology and Oceanography. 66. DOI: 10.3402/Tellusa.V66.23294 |
0.44 |
|
| 2014 |
Stewart LM, Dance SL, Nichols NK, Eyre JR, Cameron J. Estimating interchannel observation-error correlations for IASI radiance data in the Met Office system Quarterly Journal of the Royal Meteorological Society. 140: 1236-1244. DOI: 10.1002/Qj.2211 |
0.414 |
|
| 2014 |
Waller JA, Dance SL, Lawless AS, Nichols NK, Eyre JR. Representativity error for temperature and humidity using the Met Office high‐resolution model† Quarterly Journal of the Royal Meteorological Society. 140: 1189-1197. DOI: 10.1002/Qj.2207 |
0.436 |
|
| 2014 |
Browne PA, Charlton-Perez C, Dance SL. RMetS Special Interest Group Meeting: high resolution data assimilation Atmospheric Science Letters. 15: 354-357. DOI: 10.1002/Asl2.512 |
0.324 |
|
| 2013 |
Stewart LM, Dance SL, Nichols NK. Data assimilation with correlated observation errors: Experiments with a 1-D shallow water model Tellus, Series a: Dynamic Meteorology and Oceanography. 65. DOI: 10.3402/Tellusa.V65I0.19546 |
0.451 |
|
| 2013 |
García-Pintado J, Neal JC, Mason DC, Dance SL, Bates PD. Scheduling satellite-based SAR acquisition for sequential assimilation of water level observations into flood modelling Journal of Hydrology. 495: 252-266. DOI: 10.1016/J.Jhydrol.2013.03.050 |
0.427 |
|
| 2013 |
Smith PJ, Thornhill GD, Dance SL, Lawless AS, Mason DC, Nichols NK. Data assimilation for state and parameter estimation: application to morphodynamic modelling Quarterly Journal of the Royal Meteorological Society. 139: 314-327. DOI: 10.1002/Qj.1944 |
0.381 |
|
| 2012 |
Thornhill GD, Mason DC, Dance SL, Lawless AS, Nichols NK, Forbes HR. Integration of a 3D Variational data assimilation scheme with a coastal area morphodynamic model of Morecambe Bay Coastal Engineering. 69: 82-96. DOI: 10.1016/J.Coastaleng.2012.05.010 |
0.396 |
|
| 2011 |
Rennie SJ, Dance SL, Illingworth AJ, Ballard SP, Simonin D. 3D-Var assimilation of insect-derived Doppler radar radial winds in convective cases using a high-resolution model Monthly Weather Review. 139: 1148-1163. DOI: 10.1175/2010Mwr3482.1 |
0.343 |
|
| 2011 |
Pocock JA, Dance SL, Lawless AS. State estimation using the particle filter with mode tracking Computers and Fluids. 46: 392-397. DOI: 10.1016/J.Compfluid.2011.02.009 |
0.33 |
|
| 2011 |
Baxter GM, Dance SL, Lawless AS, Nichols NK. Four-dimensional variational data assimilation for high resolution nested models Computers and Fluids. 46: 137-141. DOI: 10.1016/J.Compfluid.2011.01.023 |
0.335 |
|
| 2011 |
Smith PJ, Dance SL, Nichols NK. A hybrid data assimilation scheme for model parameter estimation: Application to morphodynamic modelling Computers & Fluids. 46: 436-441. DOI: 10.1016/J.Compfluid.2011.01.010 |
0.364 |
|
| 2010 |
Dance SL, Zou QP. HESS Opinions "Ensembles, uncertainty and flood prediction" Hydrology and Earth System Sciences Discussions. 7: 3591-3611. DOI: 10.5194/Hessd-7-3591-2010 |
0.305 |
|
| 2010 |
Rennie SJ, Illingworth AJ, Dance SL. On differentiating ground clutter and insect echoes from Doppler weather radars using archived data Atmospheric Measurement Techniques Discussions. 3: 1843-1860. DOI: 10.5194/Amtd-3-1843-2010 |
0.305 |
|
| 2010 |
Petrie RE, Dance SL. Ensemble-based data assimilation and the localisation problem Weather. 65: 65-69. DOI: 10.1002/Wea.505 |
0.368 |
|
| 2010 |
Rennie SJ, Illingworth AJ, Dance SL, Ballard SP. The accuracy of Doppler radar wind retrievals using insects as targets Meteorological Applications. 17: 419-432. DOI: 10.1002/Met.174 |
0.357 |
|
| 2009 |
Smith PJ, Dance SL, Baines MJ, Nichols NK, Scott TR. Variational data assimilation for parameter estimation: Application to a simple morphodynamic model Ocean Dynamics. 59: 697-708. DOI: 10.1007/S10236-009-0205-6 |
0.399 |
|
| 2008 |
Stewart LM, Dance SL, Nichols NK. Correlated observation errors in data assimilation International Journal For Numerical Methods in Fluids. 56: 1521-1527. DOI: 10.1002/Fld.1636 |
0.436 |
|
| 2007 |
Livings DM, Dance SL, Nichols NK. Unbiased ensemble square root filters Physica D: Nonlinear Phenomena. 237: 1021-1028. DOI: 10.1016/J.Physd.2008.01.005 |
0.35 |
|
| 2004 |
Dance SL, Climent E, Maxey MR. Collision barrier effects on the bulk flow in a random suspension Physics of Fluids. 16: 828-831. DOI: 10.1063/1.1637349 |
0.588 |
|
| 2004 |
Dance SL. Issues in high resolution limited area data assimilation for quantitative precipitation forecasting Physica D: Nonlinear Phenomena. 196: 1-27. DOI: 10.1016/J.Physd.2004.05.001 |
0.409 |
|
| 2003 |
Dance SL, Maxey MR. Particle density stratification in transient sedimentation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 68: 031403. PMID 14524765 DOI: 10.1103/Physreve.68.031403 |
0.573 |
|
| 2003 |
Dance SL, Maxey MR. Incorporation of lubrication effects into the force-coupling method for particulate two-phase flow Journal of Computational Physics. 189: 212-238. DOI: 10.1016/S0021-9991(03)00209-2 |
0.574 |
|
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