Abstract
Abstract. The objectives of this study were to assess the predictability of
exceptionally cold water in the Taiwan Strait (TS) and to develop a warning
system on the basis of the scientific mechanism, which is a component of the
information technology system currently under development in Taiwan to
protect aquaculture against extreme hazards. Optimum interpolation sea
surface temperature (SST) data were used to find exceptionally cold water
days from January 1995 to May 2017. We found that the SST and wind speed over
the TS are low and strong in La Niña winters, respectively. According to
tests conducted using relative operating characteristic curves, predictions
based on the Oceanic Niño Index and integrated wind speed can be employed
at lead times of 60–120 and 0–25 days, respectively. This study utilized
these two proxies to develop a possible warning mechanism and concluded four
colors of warning light: (1) blue, meaning normal (0 % occurrence
probability); (2) cyan, meaning warning (∼ 50 % occurrence
probability); (3) yellow, meaning moderate risk (∼ 60 % occurrence
probability); and (4) red, meaning high risk (∼ 75 % occurrence
probability). Hindcasting winters over the period 1995–2017 successfully
predicted the cold water hazards in the winters of 2000, 2008, and 2011 prior
to the coldest day by ∼ 20 days.
Subject
General Earth and Planetary Sciences
Cited by
10 articles.
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