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Three decades of high-resolution coastal sea surface temperatures reveal more than warming

doi: 10.1038/ncomms1713
pmid: 22426225
Understanding and forecasting current and future consequences of coastal warming require a fine-scale assessment of the near-shore temperature changes. Here we show that despite the fact that 71% of the world's coastlines are significantly warming, rates of change have been highly heterogeneous both spatially and seasonally. We demonstrate that 46% of the coastlines have experienced a significant decrease in the frequency of extremely cold events, while extremely hot days are becoming more common in 38% of the area. Also, we show that the onset of the warm season is significantly advancing earlier in the year in 36% of the temperate coastal regions. More importantly, it is now possible to analyse local patterns within the global context, which is useful for a broad array of scientific fields, policy makers and general public.
- University of South Carolina Lancaster United States
- University of South Carolina Lancaster United States
Aquatic Organisms, Conservation of Natural Resources, Hot Temperature, Climate Change, Oceans and Seas, Public Policy, Global Warming, Seawater, Seasons, Weather, Ecosystem, Forecasting
Aquatic Organisms, Conservation of Natural Resources, Hot Temperature, Climate Change, Oceans and Seas, Public Policy, Global Warming, Seawater, Seasons, Weather, Ecosystem, Forecasting
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).445 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
