Data fusion with Gaussian processes for estimation of environmental hazard events
Abstract Environmental hazard events such as extra‐tropical cyclones or windstorms that develop in the North Atlantic can cause severe societal damage. Environmental hazard is quantified by the hazard footprint, a spatial area describing potential damage. However, environmental hazards are never dir...
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crwiley:10.1002/env.2660 2024-06-02T08:11:24+00:00 Data fusion with Gaussian processes for estimation of environmental hazard events Xiong, Xiaoyu Youngman, Benjamin D. Economou, Theodoros 2020 http://dx.doi.org/10.1002/env.2660 https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2660 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/env.2660 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Environmetrics volume 32, issue 3 ISSN 1180-4009 1099-095X journal-article 2020 crwiley https://doi.org/10.1002/env.2660 2024-05-03T11:42:15Z Abstract Environmental hazard events such as extra‐tropical cyclones or windstorms that develop in the North Atlantic can cause severe societal damage. Environmental hazard is quantified by the hazard footprint, a spatial area describing potential damage. However, environmental hazards are never directly observed, so estimation of the footprint for any given event is primarily reliant on station observations (e.g., wind speed in the case of a windstorm event) and physical model hindcasts. Both data sources are indirect measurements of the true footprint, and here we present a general statistical framework to combine the two data sources for estimating the underlying footprint. The proposed framework extends current data fusion approaches by allowing structured Gaussian process discrepancy between physical model and the true footprint, while retaining the elegance of how the "change of support" problem is dealt with. Simulation is used to assess the practical feasibility and efficacy of the framework, which is then illustrated using data on windstorm Imogen. Article in Journal/Newspaper North Atlantic Wiley Online Library Environmetrics 32 3 |
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English |
description |
Abstract Environmental hazard events such as extra‐tropical cyclones or windstorms that develop in the North Atlantic can cause severe societal damage. Environmental hazard is quantified by the hazard footprint, a spatial area describing potential damage. However, environmental hazards are never directly observed, so estimation of the footprint for any given event is primarily reliant on station observations (e.g., wind speed in the case of a windstorm event) and physical model hindcasts. Both data sources are indirect measurements of the true footprint, and here we present a general statistical framework to combine the two data sources for estimating the underlying footprint. The proposed framework extends current data fusion approaches by allowing structured Gaussian process discrepancy between physical model and the true footprint, while retaining the elegance of how the "change of support" problem is dealt with. Simulation is used to assess the practical feasibility and efficacy of the framework, which is then illustrated using data on windstorm Imogen. |
format |
Article in Journal/Newspaper |
author |
Xiong, Xiaoyu Youngman, Benjamin D. Economou, Theodoros |
spellingShingle |
Xiong, Xiaoyu Youngman, Benjamin D. Economou, Theodoros Data fusion with Gaussian processes for estimation of environmental hazard events |
author_facet |
Xiong, Xiaoyu Youngman, Benjamin D. Economou, Theodoros |
author_sort |
Xiong, Xiaoyu |
title |
Data fusion with Gaussian processes for estimation of environmental hazard events |
title_short |
Data fusion with Gaussian processes for estimation of environmental hazard events |
title_full |
Data fusion with Gaussian processes for estimation of environmental hazard events |
title_fullStr |
Data fusion with Gaussian processes for estimation of environmental hazard events |
title_full_unstemmed |
Data fusion with Gaussian processes for estimation of environmental hazard events |
title_sort |
data fusion with gaussian processes for estimation of environmental hazard events |
publisher |
Wiley |
publishDate |
2020 |
url |
http://dx.doi.org/10.1002/env.2660 https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2660 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/env.2660 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Environmetrics volume 32, issue 3 ISSN 1180-4009 1099-095X |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/env.2660 |
container_title |
Environmetrics |
container_volume |
32 |
container_issue |
3 |
_version_ |
1800757530186481664 |