Search Results - "Dance, S. L."

On the representation error in data assimilation by Janjić, T., Bormann, N., Bocquet, M., Carton, J. A, Cohn, S. E., Dance, S. L., Losa, S. N., Nichols, N. K., Potthast, R., Waller, J. A., Weston, P.

“…Representation, representativity, representativeness error, forward interpolation error, forward model error, observation‐operator error, aggregation error and…”
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On the interaction of observation and prior error correlations in data assimilation by Fowler, A. M., Dance, S. L., Waller, J. A.

“…The importance of prior error correlations in data assimilation has long been known; however, observation‐error correlations have typically been neglected…”
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Representativity error for temperature and humidity using the Met Office high‐resolution model by Waller, J. A., Dance, S. L., Lawless, A. S., Nichols, N. K., Eyre, J. R.

“…The observation‐error covariance matrix used in data assimilation contains contributions from instrument errors, representativity errors and errors introduced…”
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Estimating interchannel observation‐error correlations for IASI radiance data in the Met Office system by Stewart, L. M., Dance, S. L., Nichols, N. K., Eyre, J. R., Cameron, J.

“…The optimal utilisation of hyper‐spectral satellite observations in numerical weather prediction is often inhibited by incorrectly assuming independent…”
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Correlated observation errors in data assimilation by Stewart, L. M., Dance, S. L., Nichols, N. K.

“…Data assimilation provides techniques for combining observations and prior model forecasts to create initial conditions for numerical weather prediction (NWP)…”
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Data assimilation for state and parameter estimation: application to morphodynamic modelling by Smith, P. J., Thornhill, G. D., Dance, S. L., Lawless, A. S., Mason, D. C., Nichols, N. K.

“…Data assimilation is predominantly used for state estimation, combining observational data with model predictions to produce an updated model state that most…”
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Theoretical insight into diagnosing observation error correlations using observation‐minus‐background and observation‐minus‐analysis statistics by Waller, J. A., Dance, S. L., Nichols, N. K.

“…To improve the quantity and impact of observations used in data assimilation, it is necessary to take into account the full, potentially correlated,…”
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Incorporation of lubrication effects into the force-coupling method for particulate two-phase flow by Dance, S.L., Maxey, M.R.

“…We investigate the performance of the force-coupling method (FCM) for particulate flow at microscales. In this work, we restrict attention to flows where we…”
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Remote sensing of intertidal morphological change in Morecambe Bay, U.K., between 1991 and 2007 by Mason, D.C., Scott, T.R., Dance, S.L.

“…Tidal Flats are important examples of extensive areas of natural environment that remain relatively unaffected by man. Monitoring of tidal flats is required…”
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Integration of a 3D variational data assimilation scheme with a coastal area morphodynamic model of Morecambe Bay by Thornhill, G.D., Mason, D.C., Dance, S.L., Lawless, A.S., Nichols, N.K., Forbes, H.R.

“…This paper describes the implementation of a 3D variational (3D-Var) data assimilation scheme for a morphodynamic model applied to Morecambe Bay, UK. A simple…”
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On diagnosing observation‐error statistics with local ensemble data assimilation by Waller, J. A., Dance, S. L., Nichols, N. K.

“…Recent research has shown that the use of correlated observation errors in data assimilation can lead to improvements in analysis accuracy and forecast skill…”
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Diagnosing atmospheric motion vector observation errors for an operational high‐resolution data assimilation system by Cordoba, M., Dance, S. L., Kelly, G. A., Nichols, N. K., Waller, J. A.

“…Atmospheric motion vectors (AMVs) are wind observations derived by tracking cloud or water‐vapour features in consecutive satellite images. These observations…”
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Issues in high resolution limited area data assimilation for quantitative precipitation forecasting by Dance, S.L.

“…High resolution limited area data assimilation is a key aspect of improved quantitative precipitation forecasting. With advances in computer power it is now…”
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Particle density stratification in transient sedimentation by Dance, S L, Maxey, M R

“…Theoretical predictions for the scaling of particle velocity fluctuations with container size in homogeneous Stokes suspensions are not consistent with…”
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Observation impact, domain length and parameter estimation in data assimilation for flood forecasting by Cooper, E.S., Dance, S.L., Garcia-Pintado, J., Nichols, N.K., Smith, P.J.

“…Accurate inundation forecasting provides vital information about the behaviour of fluvial flood water. Using data assimilation with an Ensemble Transform…”
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State estimation using the particle filter with mode tracking by Pocock, J.A., Dance, S.L., Lawless, A.S.

“…A particle filter is a data assimilation scheme that employs a fully nonlinear, non-Gaussian analysis step. Unfortunately as the size of the state grows the…”
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Four-dimensional variational data assimilation for high resolution nested models by Baxter, G.M., Dance, S.L., Lawless, A.S., Nichols, N.K.

“…Four-dimensional variational data assimilation (4D-Var) is used in environmental prediction to estimate the state of a system from measurements. When 4D-Var is…”
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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 the impact of post-processing medium-range ensemble streamflow forecasts from the European Flood Awareness System by Matthews, Gwyneth, Barnard, Christopher, Cloke, Hannah, Dance, Sarah L, Jurlina, Toni, Mazzetti, Cinzia, Prudhomme, Christel

“…Streamflow forecasts provide vital information to aid emergency response preparedness and disaster risk reduction. Medium-range forecasts are created by…”
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Assessing the spatial spread–skill of ensemble flood maps with remote-sensing observations by Hooker, Helen, Dance, Sarah L, Mason, David C, Bevington, John, Shelton, Kay

“…An ensemble of forecast flood inundation maps has the potential to represent the uncertainty in the flood forecast and provide a location-specific likelihood…”
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