An analogues-based forecasting system for Mediterranean marine-litter concentration
<p>In this work, we explore the performance of a statistical forecasting system for marine-litter concentration in the Mediterranean Sea. In particular, we assess the potential skills of a system based on the analogues method. The system uses a historical database of marine-litter concentratio...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2023-04-01
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| Series: | Ocean Science |
| Online Access: | https://os.copernicus.org/articles/19/485/2023/os-19-485-2023.pdf |
| Summary: | <p>In this work, we explore the performance of a statistical forecasting system
for marine-litter concentration in the Mediterranean Sea. In particular, we
assess the potential skills of a system based on the analogues method. The
system uses a historical database of marine-litter concentration simulated
by a high-resolution realistic model and is trained to identify
meteorological situations in the past that are similar to the forecasted
ones. Then, the corresponding marine-litter concentrations of the past
analogue days are used to construct the marine-litter concentration
forecast. Due to the scarcity of observations, the forecasting system has
been validated against a synthetic reality (i.e., the outputs from a marine-litter-modeling system). Different approaches have been tested to refine
the system, and the results show that using integral definitions for the
similarity function, based on the history of the meteorological situation,
improves the system performance. We also find that the system accuracy
depends on the domain of application being better for larger regions. Also,
the method performs well in capturing the spatial patterns but performs worse
in capturing the temporal variability, especially the extreme values. Despite
the inherent limitations of using a synthetic reality to validate the
system, the results are promising, and the approach has potential to become a
suitable cost-effective forecasting method for marine-litter concentration.</p> |
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| ISSN: | 1812-0784 1812-0792 |