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D-Index & Metrics

Environmental Sciences

D-Index
41
Citations
12664
World Ranking
7556
National Ranking
571

Overview

M. S. Horritt is affiliated with Halcrow Group Ltd. in the United Kingdom. Their professional work is linked to this primary affiliation. There is no publicly available information about their recent papers, co-authors, or frequent publication venues.

No records indicate specific book publications or awards associated with M. S. Horritt. Additionally, data about their main fields of study, subfields, and main topics of research work are not available.

Due to limited publicly accessible information, details regarding research focus, publication history, and collaborations remain unspecified for M. S. Horritt.

Best Publications

  • Evaluation of 1D and 2D numerical models for predicting river flood inundation

    M.S. Horritt;P.D. Bates

  • A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling.

    Paul D. Bates;Matthew S. Horritt;Timothy J. Fewtrell

  • Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations

    F. Pappenberger;Keith J. Beven;M. Horritt;S. Blazkova

  • Simple spatially-distributed models for predicting flood inundation: A review

    Neil M. Hunter;Paul D. Bates;Matthew S. Horritt;Matthew D. Wilson

  • Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE

    G. Aronica;P. D. Bates;M. S. Horritt

  • Effects of spatial resolution on a raster based model of flood flow

    M.S Horritt;P.D Bates

  • Predicting floodplain inundation: raster-based modelling versus the finite-element approach

    M. S. Horritt;P. D. Bates

  • Progress in integration of remote sensing– derived flood extent and stage data and hydraulic models

    Guy Schumann;Paul D. Bates;Matthew S. Horritt;Patrick Matgen

  • An adaptive time step solution for raster-based storage cell modelling of floodplain inundation

    Neil M. Hunter;Matthew S. Horritt;Paul D. Bates;Matthew D. Wilson

  • Simplified two-dimensional numerical modelling of coastal flooding and example applications

    Paul D. Bates;Richard J. Dawson;Jim W. Hall;Matthew S. Horritt

  • Distributed Sensitivity Analysis of Flood Inundation Model Calibration

    J. W. Hall;S. Tarantola;P. D. Bates;M. S. Horritt

  • Flood boundary delineation from Synthetic Aperture Radar imagery using a statistical active contour model

    M. S. Horritt;D. C. Mason;A. J. Luckman

  • Development of a European flood forecasting system

    Ad P.J. de Roo;Ben Gouweleeuw;Jutta Thielen;Jens Bartholmes

  • Optimal use of high-resolution topographic data in flood inundation models

    P. D. Bates;K. J. Marks;M. S. Horritt

  • Modeling large-scale inundation of Amazonian seasonally flooded wetlands

    Matthew Wilson;Paul Bates;Doug Alsdorf;Bruce Forsberg

  • Floodplain friction parameterization in two‐dimensional river flood models using vegetation heights derived from airborne scanning laser altimetry

    David C. Mason;David M. Cobby;Matthew S. Horritt;Paul D. Bates

  • Evaluating the effect of scale in flood inundation modelling in urban environments

    T. J. Fewtrell;P. D. Bates;M. Horritt;N. M. Hunter

  • Distributed whole city water level measurements from the Carlisle 2005 urban flood event and comparison with hydraulic model simulations

    Jeffrey C. Neal;Paul D. Bates;Timothy J. Fewtrell;Neil M. Hunter

  • Reach scale floodplain inundation dynamics observed using airborne synthetic aperture radar imagery: Data analysis and modelling

    Paul D. Bates;Matthew D. Wilson;Matthew S. Horritt;David C. Mason

  • Integrating remote sensing observations of flood hydrology and hydraulic modelling

    P. D. Bates;M. S. Horritt;C. N. Smith;D. Mason

  • A methodology for the validation of uncertain flood inundation models

    M.S. Horritt

Frequent Co-Authors

Paul D Bates
Paul D Bates University of Bristol
David C. Mason
David C. Mason University of Reading
Keith Beven
Keith Beven Lancaster University
Jeffrey C. Neal
Jeffrey C. Neal University of Bristol
Florian Pappenberger
Florian Pappenberger European Centre for Medium-Range Weather Forecasts
Giuliano Di Baldassarre
Giuliano Di Baldassarre Uppsala University
Jim W. Hall
Jim W. Hall University of Oxford
Bruce R. Forsberg
Bruce R. Forsberg National Institute of Amazonian Research
Patrick Matgen
Patrick Matgen Luxembourg Institute of Science and Technology
Nicholas M. Holden
Nicholas M. Holden University College Dublin

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