Laurence Hawker

Dados Biográficos

ID6568062
NOMELaurence Hawker
PRENOMESLaurence
SOBRENOMEHawker
ASSINATURAHAWKER L
AFILIAÇÕESUniversity of Bristol
ORCID0000-0002-8317-7084
VERIFICADOSim
TOTAL DE OBRAS7
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR7
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0

  • Combined benefits of multi-hazard early warnings on human mobility resilience to tropical cyclones

    Open AccessHaiyan Liu, Jianghao Wang et al.ARTICLEGlobal Environmental Change2026Referências: 1

  • FathomDEM

    Open AccessPeter Uhe, Chris Lucas et al.ARTICLEEnvironmental Research Letters2025

    The Earth’s terrain is linked to many physical processes, and gaining the most accurate representation is key to work in many sectors from engineering to natural hazards modeling and ecology. Existing global digital elevation models (DEMs) are widely used, however often suffer from systematic biases caused by trees, buildings and instrumentation error, ultimately limiting their effectiveness. We present here, FathomDEM, a new global 30 m DEM prod…

  • Data, guidelines and ethics for managing flood risk when people are already forcibly displaced

    Open AccessLaurence Hawker, Mark A Trigg et al.ARTICLEEnvironmental Research Letters2024

    Data, guidelines and ethics for managing flood risk when people are already forcibly displaced, Hawker, Laurence, Trigg, Mark A, Kruczkiewicz, Andrew, Bernhofen, Mark, Katsi, Luckson, Paterson, Ruby, Speight, Linda, Van Den Hoek, Jamon, Balfour, Nancy

  • Population exposure to flooding in Small Island Developing States under climate change

    Open AccessLeanne Archer, Jeffrey Neal et al.ARTICLEEnvironmental Research Letters2024

    Estimates of current and future population exposure to both coastal and inland flooding do not exist consistently in all Small Island Developing States (SIDS), despite these being some of the places most at risk to climate change. This has primarily been due to a lack of suitable or complete data. In this paper, we utilise a ∼30 m global hydrodynamic flood model to estimate population exposure to coastal and inland flood hazard in all SIDS under …

  • A 30 m global map of elevation with forests and buildings removed

    Open AccessLaurence Hawker, Peter Uhe et al.ARTICLEEnvironmental Research Letters2022

    Elevation data are fundamental to many applications, especially in geosciences. The latest global elevation data contains forest and building artifacts that limit its usefulness for applications that require precise terrain heights, in particular flood simulation. Here, we use machine learning to remove buildings and forests from the Copernicus Digital Elevation Model to produce, for the first time, a global map of elevation with buildings and fo…

  • Emergency flood bulletins for Cyclones Idai and Kenneth

    Open AccessRebecca Emerton, Hannah Cloke et al.ARTICLEInternational Journal of Disaster…2020

    Humanitarian disasters such as Typhoon Haiyan (SE Asia, 2013) and the Horn of Africa drought (2011–2012) are examples of natural hazards that were predicted, but where forecasts were not sufficiently acted upon, leading to considerable loss of life. These events, alongside international adoption of the Sendai Framework for Disaster Risk Reduction, have motivated efforts to enable early action from early warnings. Through initiatives such as Forec…

  • Comparing earth observation and inundation models to map flood hazards

    Open AccessLaurence Hawker, Jeffrey Neal et al.ARTICLEEnvironmental Research Letters2020

    Global Flood Models (GFMs) and Earth Observation (EO) play a crucial role in characterising flooding, especially in data-sparse, under-resourced regions of the world. However, validation studies are often limited to a handful of historic events and do not directly assess the ability of these products to simulate flood hazard - the probability that flooding will occur in a given location. As a result, it is difficult for stakeholders to decipher t…