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A review of machine learning applications to coastal sediment transport and morphodynamics
A range of computer science methods termed machine learning (ML) enables the extraction
of insight and quantitative relationships from multidimensional datasets. Here, we review the …
of insight and quantitative relationships from multidimensional datasets. Here, we review the …
The global flood protection benefits of mangroves
Coastal flood risks are rising rapidly. We provide high resolution estimates of the economic
value of mangroves forests for flood risk reduction every 20 km worldwide. We develop a …
value of mangroves forests for flood risk reduction every 20 km worldwide. We develop a …
Climate change risk to global port operations
The ports sector is critical to global transport and trade. Climate change may compromise
port operations, resulting in an increase in operational shutdowns and subsequent …
port operations, resulting in an increase in operational shutdowns and subsequent …
Long-term rainfall prediction using atmospheric synoptic patterns in semi-arid climates with statistical and machine learning methods
In this paper, we evaluate the performance of 8 statistical and machine learning methods,
driven by atmospheric synoptic patterns, for long-term daily rainfall prediction in a semi-arid …
driven by atmospheric synoptic patterns, for long-term daily rainfall prediction in a semi-arid …
[HTML][HTML] Coral reefs for coastal protection: A new methodological approach and engineering case study in Grenada
Coastal communities in tropical environments are at increasing risk from both environmental
degradation and climate change and require urgent local adaptation action. Evidences …
degradation and climate change and require urgent local adaptation action. Evidences …
Demonstrating the value of beaches for adaptation to future coastal flood risk
Cost-effective coastal flood adaptation requires a realistic valuation of losses, costs and
benefits considering the uncertainty of future flood projections and limited resources for …
benefits considering the uncertainty of future flood projections and limited resources for …
A hybrid efficient method to downscale wave climate to coastal areas
Long-term time series of sea state parameters are required in different coastal engineering
applications. In order to obtain wave data at shallow water and due to the scarcity of …
applications. In order to obtain wave data at shallow water and due to the scarcity of …
Assessing the effects of climate change on compound flooding in coastal river areas
Flood assessment in coastal river areas is subject to complex dependencies and
interactions between flood drivers. In addition, coastal areas are especially vulnerable to …
interactions between flood drivers. In addition, coastal areas are especially vulnerable to …
High resolution downscaled ocean waves (DOW) reanalysis in coastal areas
Large-scale wave reanalysis databases (0.1°–1° spatial resolution) provide valuable
information for wave climate research and ocean applications which require long-term time …
information for wave climate research and ocean applications which require long-term time …
Regional analysis of multivariate compound flooding potential: sensitivity analysis and spatial patterns
In coastal regions, floods can arise through a combination of multiple drivers, including
direct surface run-off, river discharge, storm surge and waves. In this study, we analyse …
direct surface run-off, river discharge, storm surge and waves. In this study, we analyse …