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

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

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

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

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

Google Scholar

Sarah L Dance Skills & Research Interests

Data assimilation

numerical analysis

earth observation

Top articles of Sarah L Dance

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

Journal of Hydroinformatics

2024

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

Hydrology Research

2023/10/1

Sarah L Dance
Sarah L Dance

H-Index: 20

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

arXiv preprint arXiv:2309.16433

2023/9/28

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

Natural hazards and earth system sciences

2023/8/10

Sarah L Dance
Sarah L Dance

H-Index: 20

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

Bulletin of the American Meteorological Society

2023/5

Sarah L Dance
Sarah L Dance

H-Index: 20

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

2023/1/1

Sarah L Dance
Sarah L Dance

H-Index: 20

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

Environmental Data Science

2023

Sarah L Dance
Sarah L Dance

H-Index: 20

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

2023/1

Sarah L Dance
Sarah L Dance

H-Index: 20

Martin Weissmann
Martin Weissmann

H-Index: 18

Spatial scale evaluation of forecast flood inundation maps

Journal of Hydrology

2022/9/1

Sarah L Dance
Sarah L Dance

H-Index: 20

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

Hydrology and Earth System Sciences

2022/6/15

Hannah Cloke
Hannah Cloke

H-Index: 33

Sarah L Dance
Sarah L Dance

H-Index: 20

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

Meteorological Applications

2022/5

Sarah L Dance
Sarah L Dance

H-Index: 20

Efficient computation of matrix–vector products with full observation weighting matrices in data assimilation

Quarterly Journal of the Royal Meteorological Society

2021/10

Sarah L Dance
Sarah L Dance

H-Index: 20

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

2021/8/16

Sarah L Dance
Sarah L Dance

H-Index: 20

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

Numerical Linear Algebra with Applications

2022/1

Sarah L Dance
Sarah L Dance

H-Index: 20

Nancy K Nichols
Nancy K Nichols

H-Index: 26

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

Quarterly Journal of the Royal Meteorological Society

2021/7

Sarah L Dance
Sarah L Dance

H-Index: 20

Floodwater detection in urban areas using Sentinel-1 and WorldDEM data

Journal of Applied Remote Sensing

2021/7/1

Sarah L Dance
Sarah L Dance

H-Index: 20

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

Atmospheric Science Letters

2021/5

Sarah L Dance
Sarah L Dance

H-Index: 20

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

2021/2/18

Sarah L Dance
Sarah L Dance

H-Index: 20

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.)

2022

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

2021

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

Co-Authors

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