Abstract
Abstract. Record-breaking statistics are combined here with a
geographic mode of exploration to introduce a record-breaking map. We
examine time series of sea surface temperature (SST) values and show that
high SST records have been broken far more frequently than the expected rate for a trend-free random variable (TFRV) over the vast majority of oceans (83 % of the grid cells). This, together with the asymmetry between high
and low records and their deviation from a TFRV, indicates SST warming over
most oceans, obtained using a distribution-independent, robust, and
simple-to-use method. The spatial patterns of this warming are coherent and
reveal islands of cooling, such as the “cold blob” in the North Atlantic and a surprising elliptical area in the Southern Ocean, near the Ross Sea gyre, not previously reported. The method was also applied to evaluate a global climate model (GCM), which reproduced the observed records during the study period. The distribution of records from the GCM pre-industrial (PI) control
run samples was similar to the one from a TFRV, suggesting that the
contribution of a suitably constrained internal variability to the observed
record-breaking trends is negligible. Future forecasts show striking SST
trends, with even more frequent high records and less frequent low records.
Funder
H2020 European Research Council
Cited by
1 articles.
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