A relocatable ocean modelling platform for downscaling to shelf-coastal areas to support disaster risk reduction

High-impact ocean weather events and climate extremes can have devastating effects on coastal zones and small islands. Marine Disaster Risk Reduction (DRR) is a systematic approach to such events, through which the&#160;risk&#160;of disaster can be identified, assessed and&#160;reduced via direct observations, thus improving ocean and atmosphere prediction models and the development of efficient early warnings systems. A common user request during disaster remediation actions is for high-resolution information, which can be derived from easily deployable numerical models nested into operational larger-scale ocean models.The Structured and Unstructured Relocatable Ocean Model for Forecasting (SURF) has been designed to provide operational ocean forecasting communities with the means to rapidly deploy a nested high-resolution numerical model into larger-scale ocean forecasts. Rapidly downscaling the current, sea level and temperature, and salinity fields is critical in supporting emergency response and DRR planning, which are typically related to very localized areas in the world&#8217;s oceans. The first and most important requirement in a relocatable modelling capability is to ensure all of the interfaces have been tested through low-resolution operational ocean analyses, forecasts and atmospheric forcing. The provision of continuous ocean circulation forecasts through the Copernicus Marine Environment Monitoring Service (CMEMS) enables this testing. High-resolution SURF ocean circulation forecasts can then be accessed through specific numerical application model interfaces that require the knowledge of meteo-oceanographic conditions, such as oil spill forecasting, search and rescue modelling, and ship routing modelling for safe navigation.SURF was used to downscale CMEMS circulation analyses in four world ocean regions, and the high-resolution currents it can simulate for specific applications are examined. The SURF downscaled circulation fields show that the marine current resolutions affect the quality of the application models to be used for assessing disaster risks, particularly near coastal areas where the coastline geometry must be resolved through a numerical grid, and high-frequency coastal currents must be accurately simulated.

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A Relocatable Ocean Modeling Platform for Downscaling to Shelf-Coastal Areas to Support Disaster Risk Reduction

Frontiers in Marine Science ◽

10.3389/fmars.2021.642815 ◽

2021 ◽

Vol 8 ◽

Author(s):

Francesco Trotta ◽

Ivan Federico ◽

Nadia Pinardi ◽

Giovanni Coppini ◽

Salvatore Causio ◽

...

Keyword(s):

High Resolution ◽

Risk Reduction ◽

Ocean Circulation ◽

Disaster Risk Reduction ◽

Prediction Models ◽

Numerical Models ◽

World Ocean ◽

Disaster Risk ◽

Ocean Model ◽

Coastal Areas

High-impact ocean weather events and climate extremes can have devastating effects on coastal zones and small islands. Marine Disaster Risk Reduction (DRR) is a systematic approach to such events, through which the risk of disaster can be identified, assessed and reduced. This can be done by improving ocean and atmosphere prediction models, data assimilation for better initial conditions and developing an efficient and sustainable impact forecasting methodology for Early Warnings Systems. A common user request during disaster remediation actions is for high-resolution information, which can be derived from easily deployable numerical models nested into operational larger-scale ocean models. The Structured and Unstructured Relocatable Ocean Model for Forecasting (SURF) enables users to rapidly deploy a nested high-resolution numerical model into larger-scale ocean forecasts. Rapidly downscaling the currents, sea level, temperature, and salinity fields is critical in supporting emergency responses to extreme events and natural hazards in the world’s oceans. The most important requirement in a relocatable model is to ensure that the interpolation of low-resolution ocean model fields (analyses and reanalyses) and atmospheric forcing is tested for different model domains. The provision of continuous ocean circulation forecasts through the Copernicus Marine Environment Monitoring Service (CMEMS) enables this testing. High-resolution SURF ocean circulation forecasts can be provided to specific application models such as oil spill fate and transport models, search and rescue trajectory models, and ship routing models requiring knowledge of meteo-oceanographic conditions. SURF was used to downscale CMEMS circulation analyses in four world ocean regions, and the high-resolution currents it can simulate for specific applications are examined. The SURF downscaled circulation fields show that the marine current resolutions affect the quality of the application models to be used for assessing disaster risks, particularly near coastal areas where the coastline geometry must be resolved through a numerical grid, and high-frequency coastal currents must be accurately simulated.

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Ecosystem-Based Tsunami Disaster Risk Reduction in Indonesian Coastal Areas

Tsunamis and Earthquakes in Coastal Environments - Coastal Research Library ◽

10.1007/978-3-319-28528-3_3 ◽

2016 ◽

pp. 31-46 ◽

Cited By ~ 1

Author(s):

Eko Rudianto ◽

Abdul Muhari ◽

Kenji Harada ◽

Hideo Matsutomi ◽

Hendra Yusran Siry ◽

...

Keyword(s):

Risk Reduction ◽

Disaster Risk Reduction ◽

Disaster Risk ◽

Coastal Areas ◽

Tsunami Disaster

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The Port Alfred floods of 17–23 October 2012: A case of disaster (mis)management?

Jàmbá Journal of Disaster Risk Studies ◽

10.4102/jamba.v8i1.207 ◽

2016 ◽

Vol 8 (1) ◽

Cited By ~ 1

Author(s):

Desmond M. Pyle ◽

Tennielle L. Jacobs

Keyword(s):

Risk Reduction ◽

Disaster Management ◽

Disaster Response ◽

Disaster Risk Reduction ◽

Disaster Risk ◽

Coastal Areas ◽

Flood Event ◽

Research Approach ◽

Weather System ◽

Role Players

An intense cut-off low weather system, more commonly known regionally as a ‘black southeaster’, caused severe flooding in Port Alfred and the surrounding coastal areas from 17 to 23 October 2012. Unconfirmed reports of up to 700 mm of rainfall for the period were recorded. Damage caused by the flooding was estimated at R500 million. Eight deaths were recorded. The poorly maintained and ageing infrastructure and storm water systems could not withstand the floodwaters, and as a result, damage was worse than it should have been. Many houses, particularly in the surrounding townships and informal settlements, were destroyed. Disease threats arose, including cholera, diarrhoea and influenza. The South African Weather Service issued weather warnings of severe local flooding in the coastal areas of the Eastern Cape a few days before the flood event. Unfortunately, there was a delay in communicating the severe weather warning effectively to the public, relevant authorities and role-players by local disaster management officials. In addition, there was poor and ineffective local coordination of disaster response and relief efforts. This paper examines the 2012 flood event from both meteorological and disaster management perspectives, using a combined qualitative and quantitative research approach. Findings point to a critical lack of coordination amongst the various role-players before, during and after the disaster. Recommendations for improved proactive and coordinated disaster risk management and disaster risk reduction for the region are made.Keywords: Port Alfred; cut-off lows; floods; disaster management; disaster risk reduction; early warning

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Analisis Longsor Cililin Dan Model Pengupayaan Kestabilan Lerengnya

Jurnal Sains dan Teknologi Indonesia ◽

10.29122/jsti.v16i3.3419 ◽

2019 ◽

Vol 16 (3) ◽

Author(s):

Wisyanto

Keyword(s):

Land Cover ◽

Risk Reduction ◽

Disaster Risk Reduction ◽

Disaster Risk ◽

Landslide Risk ◽

West Java ◽

Water Condition ◽

Reduction Program ◽

Landslide Risk Reduction

Landslides have occurred in various places in Indonesia. Likewise with West Java, there were many regions that has experienced repeated landslides. Having many experience of occurrences of landslides, we should have had a good landslide risk reduction program. Indeed, the incidence of landslides depends on many variables. Due to that condition, it may that a region would have different variable with another region. So it is impossible to generalize the implementation of a mitigation technology for all areas prone to landslides. Research of the Cililin's landslide is to anticipate the next disasters that may happen in around the area of 2013 Cililin Landslide. Through observation lithological conditions, water condition, land cover and landscape, as well as consideration of wide dimension of the building footing, the distance of building to the slopes and so forth, it has been determined some efforts of disaster risk reduction in the area around the landslide against the occurrence of potential landslide in the future.Bencana tanah longsor telah terjadi di berbagai tempat di Indonesia. Demikian halnya dengan Jawa Barat, tidak sedikit daerahnya telah berulang kali mengalami longsor. Seharusnya dengan telah banyaknya kejadian longsor, kita mampu mengupayakan program penurunan risiko longsor secara baik. Memang kejadian longsor bergantung pada banyak variabel, dimana dari satu daerah dengan daerah yang lain akan sangat memungkinkan mempunyai variabel yang berbeda, sehingga tidak mungkin kita membuat generalisasi penerapan suatu teknologi mitigasinya untuk semua daerah rawan longsor. Penelitian longsor di Cililin dilakukan untuk mengantisipasi terjadinya bencana di sekitar daerah Longsor Cililin 2013 yang lalu. Melalui pengamatan kondisi litologi, keairan, tutupan lahan dan bentang alam yang ada, serta pertimbangan akan dimensi luas pijakan bangunan, jarak batas bangunan dengan lereng dan lain sebagainya, telah ditentukan beberapa upaya penurunan risiko bencana di daerah sekitar longsor terhadap potensi kejadian longsor dimasa mendatang.Keywords: Landslide, risk reduction, footing of building, Cililin

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