Relocatable tide prediction and storm surge forecasting

The marine environment represents a large and important resource for communities around the world. However, the marine environment increasingly presents hazards that can have a large negative impact. One important marine hazard results from storms and their accompanying surges. This can lead to coas...

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Published in:Volume 7B: Ocean Engineering
Main Author: Prime, Thomas
Format: Text
Language:unknown
Published: ASME 2018
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/522036/
https://doi.org/10.1115/OMAE2018-77926
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spelling ftnerc:oai:nora.nerc.ac.uk:522036 2023-05-15T14:23:20+02:00 Relocatable tide prediction and storm surge forecasting Prime, Thomas 2018 http://nora.nerc.ac.uk/id/eprint/522036/ https://doi.org/10.1115/OMAE2018-77926 unknown ASME Prime, Thomas. 2018 Relocatable tide prediction and storm surge forecasting. In: ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, Madrid, Spain, 17–22 June 2018. ASME. Publication - Conference Item PeerReviewed 2018 ftnerc https://doi.org/10.1115/OMAE2018-77926 2023-02-04T19:47:38Z The marine environment represents a large and important resource for communities around the world. However, the marine environment increasingly presents hazards that can have a large negative impact. One important marine hazard results from storms and their accompanying surges. This can lead to coastal flooding, particularly when surge and astronomical high tides align, with resultant impacts such as destruction of property, saline degradation of agricultural land and coastal erosion. Where tide and storm surge information are provided and accessed in a timely, accurate and understandable way, the data can provide: 1. Evidence for planning: Statistics of past conditions such as the probability of extreme event occurrence can be used to help plan improvements to coastal infrastructure that are able to withstand and mitigate the hazard from a given extreme event. 2. Early warning systems: Short term forecasts of storm surge allow provide early warnings to coastal communities enabling them to take actions to allow them to withstand extreme events, e.g. deploy flood prevention measures or mobilise emergency response measures. Data regarding sea level height can be provided from various in-situ observations such as tide gauges and remote observations such as satellite altimetry. However, to provide a forecast at high spatial and temporal resolution a dynamic ocean model is used. Over recent decades the National Oceanography Centre has been a world leading in developing coastal ocean models. This paper will present our progress on a current project to develop an information system for the Madagascan Met Office. The project, C-RISC, being executed in partnership with Sea Level Research Ltd, is translating the current modelling capability of NOC in storm surge forecasting and tidal prediction into a system that will provide information that can be easily transferred to other regions and is scalable to include other hazard types The outcome, an operational high-resolution storm surge warning system that is easy to ... Text Arctic Natural Environment Research Council: NERC Open Research Archive Volume 7B: Ocean Engineering
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
language unknown
description The marine environment represents a large and important resource for communities around the world. However, the marine environment increasingly presents hazards that can have a large negative impact. One important marine hazard results from storms and their accompanying surges. This can lead to coastal flooding, particularly when surge and astronomical high tides align, with resultant impacts such as destruction of property, saline degradation of agricultural land and coastal erosion. Where tide and storm surge information are provided and accessed in a timely, accurate and understandable way, the data can provide: 1. Evidence for planning: Statistics of past conditions such as the probability of extreme event occurrence can be used to help plan improvements to coastal infrastructure that are able to withstand and mitigate the hazard from a given extreme event. 2. Early warning systems: Short term forecasts of storm surge allow provide early warnings to coastal communities enabling them to take actions to allow them to withstand extreme events, e.g. deploy flood prevention measures or mobilise emergency response measures. Data regarding sea level height can be provided from various in-situ observations such as tide gauges and remote observations such as satellite altimetry. However, to provide a forecast at high spatial and temporal resolution a dynamic ocean model is used. Over recent decades the National Oceanography Centre has been a world leading in developing coastal ocean models. This paper will present our progress on a current project to develop an information system for the Madagascan Met Office. The project, C-RISC, being executed in partnership with Sea Level Research Ltd, is translating the current modelling capability of NOC in storm surge forecasting and tidal prediction into a system that will provide information that can be easily transferred to other regions and is scalable to include other hazard types The outcome, an operational high-resolution storm surge warning system that is easy to ...
format Text
author Prime, Thomas
spellingShingle Prime, Thomas
Relocatable tide prediction and storm surge forecasting
author_facet Prime, Thomas
author_sort Prime, Thomas
title Relocatable tide prediction and storm surge forecasting
title_short Relocatable tide prediction and storm surge forecasting
title_full Relocatable tide prediction and storm surge forecasting
title_fullStr Relocatable tide prediction and storm surge forecasting
title_full_unstemmed Relocatable tide prediction and storm surge forecasting
title_sort relocatable tide prediction and storm surge forecasting
publisher ASME
publishDate 2018
url http://nora.nerc.ac.uk/id/eprint/522036/
https://doi.org/10.1115/OMAE2018-77926
genre Arctic
genre_facet Arctic
op_relation Prime, Thomas. 2018 Relocatable tide prediction and storm surge forecasting. In: ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, Madrid, Spain, 17–22 June 2018. ASME.
op_doi https://doi.org/10.1115/OMAE2018-77926
container_title Volume 7B: Ocean Engineering
_version_ 1766295882907516928