Abstract
Abstract. We propose a new method to identify and characterise the
occurrence of prolonged extreme events in marine ecosystems at the basin
scale. There is growing interest in events that can affect ecosystem
functions and services in a changing climate. Our method identifies extreme
events as the peak occurrences over a predefined threshold (i.e. the 99th
percentile) computed from a local time series, and it defines a series of
extreme events that are connected over space and time as an extreme event
wave (EEW). The main features of EEWs are then characterised by a set of
novel indexes, related to initiation, extent, duration and
strength. The indexes associated with the areas covered by each EEW were
then statistically analysed to highlight the main features of the EEWs in
the considered domain. We applied the method to a multidecadal series of
winter–spring daily chlorophyll fields that was produced by a validated
coupled hydrodynamic–biogeochemical model of the Mediterranean open-sea
ecosystem. This application allowed us to identify and characterise surface
chlorophyll EEWs in the period from 1994 to 2012. Finally, a fuzzy
classification of EEW indexes provided bio-regionalisation of the
Mediterranean Sea based on the occurrence of chlorophyll EEWs with different
regimes.
Subject
Earth-Surface Processes,Ecology, Evolution, Behavior and Systematics
Cited by
9 articles.
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