Hasil Pencarian - S. L. Dance

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  1. 1
    Assessing the spatial spread–skill of ensemble flood maps with remote-sensing observations

    Assessing the spatial spread–skill of ensemble flood maps with remote-sensing observations oleh H. Hooker, S. L. Dance, S. L. Dance, S. L. Dance, D. C. Mason, J. Bevington, K. Shelton

    Diterbitkan 2023-08-01
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  2. 2
    Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning

    Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning oleh R. Vandaele, R. Vandaele, S. L. Dance, S. L. Dance, V. Ojha

    Diterbitkan 2021-08-01
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  3. 3
    A Novel Localized Fast Multipole Method for Computations With Spatially Correlated Observation Error Statistics in Data Assimilation

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

    Diterbitkan 2024-06-01
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  4. 4
    Deep learning for automated trash screen blockage detection using cameras: Actionable information for flood risk management

    Deep learning for automated trash screen blockage detection using cameras: Actionable information for flood risk management oleh Remy Vandaele, Sarah L. Dance, Varun Ojha

    Diterbitkan 2024-04-01
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  5. 5
    Calibrated river-level estimation from river cameras using convolutional neural networks

    Calibrated river-level estimation from river cameras using convolutional neural networks oleh Remy Vandaele, Sarah L. Dance, Varun Ojha

    Diterbitkan 2023-01-01
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  6. 6
    Observation operators for assimilation of satellite observations in fluvial inundation forecasting

    Observation operators for assimilation of satellite observations in fluvial inundation forecasting oleh E. S. Cooper, S. L. Dance, S. L. Dance, J. García-Pintado, N. K. Nichols, N. K. Nichols, P. J. Smith

    Diterbitkan 2019-06-01
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  7. 7
    Accounting for observation uncertainty and bias due to unresolved scales with the Schmidt-Kalman filter

    Accounting for observation uncertainty and bias due to unresolved scales with the Schmidt-Kalman filter oleh Zackary Bell, Sarah L. Dance, Joanne A. Waller

    Diterbitkan 2020-01-01
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  8. 8
    Exploring the characteristics of a vehicle‐based temperature dataset for kilometre‐scale data assimilation

    Exploring the characteristics of a vehicle‐based temperature dataset for kilometre‐scale data assimilation oleh Zackary Bell, Sarah L. Dance, Joanne A. Waller

    Diterbitkan 2022-05-01
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  9. 9
    Data assimilation with correlated observation errors: experiments with a 1-D shallow water model

    Data assimilation with correlated observation errors: experiments with a 1-D shallow water model oleh Laura M. Stewart, Sarah L. Dance, Nancy K. Nichols

    Diterbitkan 2013-04-01
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  10. 10
    Estimating correlated observation error statistics using an ensemble transform Kalman filter

    Estimating correlated observation error statistics using an ensemble transform Kalman filter oleh Joanne A. Waller, Sarah L. Dance, Amos S. Lawless, Nancy K. Nichols

    Diterbitkan 2014-09-01
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  11. 11
    Evaluating the impact of post-processing medium-range ensemble streamflow forecasts from the European Flood Awareness System

    Evaluating the impact of post-processing medium-range ensemble streamflow forecasts from the European Flood Awareness System oleh G. Matthews, C. Barnard, H. Cloke, H. Cloke, H. Cloke, H. Cloke, H. Cloke, S. L. Dance, S. L. Dance, T. Jurlina, C. Mazzetti, C. Prudhomme, C. Prudhomme, C. Prudhomme

    Diterbitkan 2022-06-01
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  12. 12
    A multi-system comparison of forecast flooding extent using a scale-selective approach

    A multi-system comparison of forecast flooding extent using a scale-selective approach oleh Helen Hooker, Sarah L. Dance, David C. Mason, John Bevington, Kay Shelton

    Diterbitkan 2023-10-01
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  13. 13
    Improving the condition number of estimated covariance matrices

    Improving the condition number of estimated covariance matrices oleh Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless, Nancy K. Nichols, Joanne A. Waller

    Diterbitkan 2020-01-01
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  14. 14
    Diagnosing Horizontal and Inter-Channel Observation Error Correlations for SEVIRI Observations Using Observation-Minus-Background and Observation-Minus-Analysis Statistics

    Diagnosing Horizontal and Inter-Channel Observation Error Correlations for SEVIRI Observations Using Observation-Minus-Background and Observation-Minus-Analysis Statistics oleh Joanne A. Waller, Susan P. Ballard, Sarah L. Dance, Graeme Kelly, Nancy K. Nichols, David Simonin

    Diterbitkan 2016-07-01
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  15. 15
    Technical note: Assessment of observation quality for data assimilation in flood models

    Technical note: Assessment of observation quality for data assimilation in flood models oleh J. A. Waller, J. García-Pintado, J. García-Pintado, D. C. Mason, S. L. Dance, N. K. Nichols

    Diterbitkan 2018-07-01
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  16. 16
    Comparing diagnosed observation uncertainties with independent estimates: A case study using aircraft‐based observations and a convection‐permitting data assimilation system

    Comparing diagnosed observation uncertainties with independent estimates: A case study using aircraft‐based observations and a convection‐permitting data assimilation system oleh Andrew K. Mirza, Sarah L. Dance, Gabriel G. Rooney, David Simonin, Edmund K. Stone, Joanne A. Waller

    Diterbitkan 2021-05-01
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  17. 17
    Improving Urban Flood Mapping by Merging Synthetic Aperture Radar-Derived Flood Footprints with Flood Hazard Maps

    Improving Urban Flood Mapping by Merging Synthetic Aperture Radar-Derived Flood Footprints with Flood Hazard Maps oleh David C. Mason, John Bevington, Sarah L. Dance, Beatriz Revilla-Romero, Richard Smith, Sanita Vetra-Carvalho, Hannah L. Cloke

    Diterbitkan 2021-06-01
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  18. 18
    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

    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 oleh Guannan Hu, Sarah L. Dance, Ross N. Bannister, Hristo G. Chipilski, Oliver Guillet, Bruce Macpherson, Martin Weissmann, Nusrat Yussouf

    Diterbitkan 2023-01-01
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  19. 19
    Collection and extraction of water level information from a digital river camera image dataset

    Collection and extraction of water level information from a digital river camera image dataset oleh Sanita Vetra-Carvalho, Sarah L. Dance, David C. Mason, Joanne A. Waller, Elizabeth S. Cooper, Polly J. Smith, Jemima M. Tabeart

    Diterbitkan 2020-12-01
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  20. 20
    Collecting and utilising crowdsourced data for numerical weather prediction: Propositions from the meeting held in Copenhagen, 4–5 December 2018

    Collecting and utilising crowdsourced data for numerical weather prediction: Propositions from the meeting held in Copenhagen, 4–5 December 2018 oleh Kasper S. Hintz, Katharine O'Boyle, Sarah L. Dance, Saja Al‐Ali, Ivar Ansper, Dick Blaauboer, Matthew Clark, Alexander Cress, Mohamed Dahoui, Rónán Darcy, Juhana Hyrkkanen, Lars Isaksen, Eigil Kaas, Ulrik S. Korsholm, Marion Lavanant, Gwenaelle Le Bloa, Emilie Mallet, Callie McNicholas, Jeanette Onvlee‐Hooimeijer, Bent Sass, Valeria Siirand, Henrik Vedel, Joanne A. Waller, Xiaohua Yang

    Diterbitkan 2019-07-01
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