Sarah L Dance

Sarah L Dance

University of Reading

H-index: 30

Europe-United Kingdom

About Sarah L Dance

Sarah L Dance, With an exceptional h-index of 30 and a recent h-index of 26 (since 2020), a distinguished researcher at University of Reading, specializes in the field of Data assimilation, numerical analysis, earth observation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep learning for automated trash screen blockage detection using cameras: Actionable information for flood risk management

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

On methods for assessment of the influence and impact of observations in convection-permitting numerical weather prediction

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

Co-design and co-production of flood forecast products: Summary of a hybrid workshop

Toward improved urban flood detection using Sentinel-1: dependence of the ratio of post-to preflood double scattering cross sections on building orientation

Calibrated river-level estimation from river cameras using convolutional neural networks

A multi-system comparison of forecast flooding extent using a scale-selective approach

Sarah L Dance Information

University

Position

Professor of Data Assimilation

Citations(all)

3007

Citations(since 2020)

1748

Cited By

2021

hIndex(all)

30

hIndex(since 2020)

26

i10Index(all)

52

i10Index(since 2020)

43

Email

University Profile Page

University of Reading

Google Scholar

View Google Scholar Profile

Sarah L Dance Skills & Research Interests

Data assimilation

numerical analysis

earth observation

Top articles of Sarah L Dance

Title

Journal

Author(s)

Publication Date

Deep learning for automated trash screen blockage detection using cameras: Actionable information for flood risk management

Journal of Hydroinformatics

Remy Vandaele

Sarah L. Dance

Varun Ojha

2024

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

Atmospheric Science Letters

Guannan Hu

Sarah L Dance

Ross N Bannister

Hristo G Chipilski

Oliver Guillet

...

2023/1

On methods for assessment of the influence and impact of observations in convection-permitting numerical weather prediction

arXiv preprint arXiv:2309.16433

Guannan Hu

Sarah L Dance

Alison Fowler

David Simonin

Joanne Waller

...

2023/9/28

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

Natural hazards and earth system sciences

Helen Hooker

Sarah L Dance

David C Mason

John Bevington

Kay Shelton

2023/8/10

Co-design and co-production of flood forecast products: Summary of a hybrid workshop

Bulletin of the American Meteorological Society

Gwyneth Matthews

Hannah L Cloke

Sarah L Dance

Eleanor Hansford

Cinzia Mazzetti

...

2023/5

Toward improved urban flood detection using Sentinel-1: dependence of the ratio of post-to preflood double scattering cross sections on building orientation

Journal of Applied Remote Sensing

David C Mason

Sarah L Dance

Hannah L Cloke

2023/1/1

Calibrated river-level estimation from river cameras using convolutional neural networks

Environmental Data Science

Remy Vandaele

Sarah L Dance

Varun Ojha

2023

A multi-system comparison of forecast flooding extent using a scale-selective approach

Hydrology Research

Helen Hooker

Sarah L Dance

David C Mason

John Bevington

Kay Shelton

2023/10/1

Spatial scale evaluation of forecast flood inundation maps

Journal of Hydrology

Helen Hooker

Sarah L Dance

David C Mason

John Bevington

Kay Shelton

2022/9/1

Evaluating the impact of post-processing medium-range ensemble streamflow forecasts from the European Flood Awareness System

Hydrology and Earth System Sciences

Gwyneth Matthews

Christopher Barnard

Hannah Cloke

Sarah L Dance

Toni Jurlina

...

2022/6/15

Exploring the characteristics of a vehicle‐based temperature dataset for kilometre‐scale data assimilation

Meteorological Applications

Zackary Bell

Sarah L Dance

Joanne A Waller

2022/5

Comparing diagnosed observation uncertainties with independent estimates: A case study using aircraft‐based observations and a convection‐permitting data assimilation system

Atmospheric Science Letters

Andrew K Mirza

Sarah L Dance

Gabriel G Rooney

David Simonin

Edmund K Stone

...

2021/5

Improving Urban Flood Mapping by Merging Synthetic Aperture Radar-Derived Flood Footprints with Flood Hazard Maps

Water

David C Mason

John Bevington

Sarah L Dance

Beatriz Revilla-Romero

Richard Smith

...

2021/6/2

Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning

Hydrology and Earth System Sciences

Remy Vandaele

Sarah L Dance

Varun Ojha

2021/8/16

Quality‐control of vehicle‐based temperature observations and future recommendations

Zackary Bell

Sarah L Dance

Joanne A Waller

Katharine O'Boyle

2021/2/18

Deep learning for the estimation of water-levels using river cameras: networks and datasets

Hydrology and Earth System Sciences Discussions

Remy Vandaele

Sarah L Dance

Varun Ojha

2021/2/12

New bounds on the condition number of the Hessian of the preconditioned variational data assimilation problem

Numerical Linear Algebra with Applications

Jemima M Tabeart

Sarah L Dance

Amos S Lawless

Nancy K Nichols

Joanne A Waller

2022/1

The role of digital technologies in responding to the grand challenges of the natural environment: the Windermere Accord

Рекомендовано вченою радою Сумського державного університету (протокол № 5 від 17 листопада 2022 р.)

Olena Pakhnenko

2022

Evaluating errors due to unresolved scales in convection‐permitting numerical weather prediction

Quarterly Journal of the Royal Meteorological Society

Joanne A Waller

Sarah L Dance

Humphrey W Lean

2021/7

MATLAB code for the localized Singular Value Decomposition approach of the Fast Multipole Method (the local SVD-FMM)

Guannan Hu

Sarah Dance

2021

See List of Professors in Sarah L Dance University(University of Reading)

Co-Authors

H-index: 111
Paul Bates

Paul Bates

University of Bristol

H-index: 53
James Carton

James Carton

University of Maryland

H-index: 52
David Mason

David Mason

University of Reading

H-index: 50
Marc Bocquet

Marc Bocquet

École des Ponts ParisTech

H-index: 49
Martin R. Maxey

Martin R. Maxey

Brown University

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