Sarah L. Dance, Ph.D.
Affiliations: | 2002 | Brown University, Providence, RI |
Area:
Fluid and Plasma PhysicsGoogle:
"Sarah Dance"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| M R. Maxey | grad student | 2002 | Brown | |
| (Particle sedimentation in viscous fluids.) | ||||
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Publications
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| Tabeart JM, Dance SL, Lawless AS, et al. (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: 1372-1390 |
| Cooper ES, Dance SL, García-Pintado J, et al. (2019) Observation operators for assimilation of satellite observations in fluvial inundation forecasting Hydrology and Earth System Sciences. 23: 2541-2559 |
| Dance SL, Ballard SP, Bannister RN, et al. (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: 125 |
| Waller JA, Bauernschubert E, Dance SL, et al. (2019) Observation error statistics for Doppler Radar radial wind superobservations assimilated into the DWD COSMO-KENDA system Monthly Weather Review. 147: 3351-3364 |
| Simonin D, Waller JA, Ballard SP, et al. (2019) 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 |
| Hintz KS, O'Boyle K, Dance SL, et al. (2019) Collecting and utilising crowdsourced data for numerical weather prediction: propositions from the meeting held in Copenhagen, 4–December 5, 2018 Atmospheric Science Letters. 20 |
| Waller JA, García-Pintado J, Mason DC, et al. (2018) Technical note: Assessment of observation quality for data assimilation in flood models Hydrology and Earth System Sciences. 22: 3983-3992 |
| Waller JA, Garcia-Pintado J, Mason DC, et al. (2018) Technical note: analysis of observation uncertainty for flood assimilation and forecasting Hydrology and Earth System Sciences Discussions. 1-13 |
| Cooper ES, Dance SL, García-Pintado J, et al. (2018) Observation impact, domain length and parameter estimation in data assimilation for flood forecasting Environmental Modelling and Software. 104: 199-214 |
| Fowler A, Dance S, Waller J. (2018) On the interaction of observation and prior error correlations in data assimilation Quarterly Journal of the Royal Meteorological Society. 144: 48-62 |