Search Results - "Dance, Sarah L"

A Novel Localized Fast Multipole Method for Computations With Spatially Correlated Observation Error Statistics in Data Assimilation by Hu, Guannan, Dance, Sarah L.

“…Several observation types (e.g., geostationary satellite and Doppler radar observations) have recently been found to exhibit strong spatial error correlations…”
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Deep learning for automated trash screen blockage detection using cameras: Actionable information for flood risk management by Vandaele, Remy, Dance, Sarah L., Ojha, Varun

“…ABSTRACT Trash screens are used to prevent debris from entering critical parts of rivers. However, debris can accumulate on the screen and generate floods…”
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A pragmatic strategy for implementing spatially correlated observation errors in an operational system: An application to Doppler radial winds by Simonin, David, Waller, Joanne A., Ballard, Susan P., Dance, Sarah L., Nichols, Nancy K.

“…Recent research has shown that high‐resolution observations, such as Doppler radar radial winds, exhibit spatial correlations. High‐resolution observations are…”
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Satellite-supported flood forecasting in river networks: A real case study by García-Pintado, Javier, Mason, David C., Dance, Sarah L., Cloke, Hannah L., Neal, Jeff C., Freer, Jim, Bates, Paul D.

“…•We assimilate satellite SAR-derived water level with an ensemble filter (ETKF).•We show filter localization is strictly required to avoid spurious…”
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Exploring the characteristics of a vehicle‐based temperature dataset for kilometre‐scale data assimilation by Bell, Zackary, Dance, Sarah L., Waller, Joanne A.

“…Crowdsourced vehicle‐based observations have the potential to improve forecast skill in convection‐permitting numerical weather prediction (NWP). The aim of…”
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Progress, challenges, and future steps in data assimilation for convection‐permitting numerical weather prediction: Report on the virtual meeting held on 10 and 12 November 2021 by Hu, Guannan, Dance, Sarah L., Bannister, Ross N., Chipilski, Hristo G., Guillet, Oliver, Macpherson, Bruce, Weissmann, Martin, Yussouf, Nusrat

“…In November 2021, the Royal Meteorological Society Data Assimilation (DA) Special Interest Group and the University of Reading hosted a virtual meeting on the…”
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A multi-system comparison of forecast flooding extent using a scale-selective approach by Hooker, Helen, Dance, Sarah L., Mason, David C., Bevington, John, Shelton, Kay

“…Abstract Fluvial flood forecasting systems increasingly couple river discharge to a flood map library or a real-time hydrodynamic model to provide forecast…”
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Accounting for observation uncertainty and bias due to unresolved scales with the Schmidt-Kalman filter by Bell, Zackary, Dance, Sarah L., Waller, Joanne A.

“…Data assimilation combines observations with numerical model data, to provide a best estimate of a real system. Errors due to unresolved scales arise when…”
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Improving the condition number of estimated covariance matrices by Tabeart, Jemima M., Dance, Sarah L., Lawless, Amos S., Nichols, Nancy K., Waller, Joanne A.

“…High dimensional error covariance matrices and their inverses are used to weight the contribution of observation and background information in data…”
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Diagnosing Horizontal and Inter-Channel Observation Error Correlations for SEVIRI Observations Using Observation-Minus-Background and Observation-Minus-Analysis Statistics by Waller, Joanne A, Ballard, Susan P, Dance, Sarah L, Kelly, Graeme, Nichols, Nancy K, Simonin, David

“…It has been common practice in data assimilation to treat observation errors as uncorrelated; however, meteorological centres are beginning to use correlated…”
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Investigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using Four-dimensional Variational data assimilation by Pinnington, Ewan M., Casella, Eric, Dance, Sarah L., Lawless, Amos S., Morison, James I.L., Nichols, Nancy K., Wilkinson, Matthew, Quaife, Tristan L.

“…•Four-dimensional Variational data assimilation implemented with DALEC2 model.•Error correlations in prior information and observations proposed.•Including…”
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Improving Urban Flood Mapping by Merging Synthetic Aperture Radar-Derived Flood Footprints with Flood Hazard Maps by Mason, David C., Bevington, John, Dance, Sarah L., Revilla-Romero, Beatriz, Smith, Richard, Vetra-Carvalho, Sanita, Cloke, Hannah L.

“…Remotely sensed flood extents obtained in near real-time can be used for emergency flood incident management and as observations for assimilation into flood…”
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Comparing diagnosed observation uncertainties with independent estimates: A case study using aircraft‐based observations and a convection‐permitting data assimilation system by Mirza, Andrew K., Dance, Sarah L., Rooney, Gabriel G., Simonin, David, Stone, Edmund K., Waller, Joanne A.

“…Aircraft can report in situ observations of the ambient temperature by using aircraft meteorological data relay (AMDAR) or these can be derived using…”
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Estimating correlated observation error statistics using an ensemble transform Kalman filter by Waller, Joanne A., Dance, Sarah L., Lawless, Amos S., Nichols, Nancy K.

“…For certain observing types, such as those that are remotely sensed, the observation errors are correlated and these correlations are state- and…”
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Collecting and utilising crowdsourced data for numerical weather prediction: Propositions from the meeting held in Copenhagen, 4–5 December 2018 by Hintz, Kasper S., O'Boyle, Katharine, Dance, Sarah L., Al‐Ali, Saja, Ansper, Ivar, Blaauboer, Dick, Clark, Matthew, Cress, Alexander, Dahoui, Mohamed, Darcy, Rónán, Hyrkkanen, Juhana, Isaksen, Lars, Kaas, Eigil, Korsholm, Ulrik S., Lavanant, Marion, Le Bloa, Gwenaelle, Mallet, Emilie, McNicholas, Conor, Onvlee‐Hooimeijer, Jeanette, Sass, Bent, Siirand, Valeria, Vedel, Henrik, Waller, Joanne A., Yang, Xiaohua

“…In December 2018, the Danish Meteorological Institute organised an international meeting on the subject of crowdsourced data in numerical weather prediction…”
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Sampling and misspecification errors in the estimation of observation‐error covariance matrices using observation‐minus‐background and observation‐minus‐analysis statistics by Hu, Guannan, Dance, Sarah L.

“…Specification of the observation‐error covariance matrix for data assimilation systems affects the observation information content retained by the analysis,…”
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Collection and extraction of water level information from a digital river camera image dataset by Vetra-Carvalho, Sanita, Dance, Sarah L., Mason, David C., Waller, Joanne A., Cooper, Elizabeth S., Smith, Polly J., Tabeart, Jemima M.

“…We present a new water level dataset extracted from images taken by four Farson Digital Ltd river cameras for a Tewkesbury, UK flood event (21st November – 5th…”
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Efficient computation of matrix–vector products with full observation weighting matrices in data assimilation by Hu, Guannan, Dance, Sarah L.

“…Recent studies have demonstrated improved skill in numerical weather prediction via the use of spatially correlated observation error covariance information in…”
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Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning by Vandaele, Remy, Dance, Sarah L, Ojha, Varun

“…River-level estimation is a critical task required for the understanding of flood events and is often complicated by the scarcity of available data. Recent…”
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Evaluating errors due to unresolved scales in convection‐permitting numerical weather prediction by Waller, Joanne A., Dance, Sarah L., Lean, Humphrey W.

“…In numerical weather prediction (NWP), observations and models are quantitatively compared for the purposes of data assimilation and forecast verification. The…”
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