Title |
Timescales for detecting a significant acceleration in sea level rise
|
---|---|
Published in |
Nature Communications, April 2014
|
DOI | 10.1038/ncomms4635 |
Pubmed ID | |
Authors |
Ivan D. Haigh, Thomas Wahl, Eelco J. Rohling, René M. Price, Charitha B. Pattiaratchi, Francisco M. Calafat, Sönke Dangendorf |
Abstract |
There is observational evidence that global sea level is rising and there is concern that the rate of rise will increase, significantly threatening coastal communities. However, considerable debate remains as to whether the rate of sea level rise is currently increasing and, if so, by how much. Here we provide new insights into sea level accelerations by applying the main methods that have been used previously to search for accelerations in historical data, to identify the timings (with uncertainties) at which accelerations might first be recognized in a statistically significant manner (if not apparent already) in sea level records that we have artificially extended to 2100. We find that the most important approach to earliest possible detection of a significant sea level acceleration lies in improved understanding (and subsequent removal) of interannual to multidecadal variability in sea level records. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 21% |
Spain | 2 | 4% |
Australia | 2 | 4% |
China | 1 | 2% |
Finland | 1 | 2% |
Belgium | 1 | 2% |
Canada | 1 | 2% |
Hong Kong | 1 | 2% |
Germany | 1 | 2% |
Other | 2 | 4% |
Unknown | 25 | 53% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 37 | 79% |
Scientists | 9 | 19% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 1% |
United States | 2 | 1% |
Netherlands | 1 | <1% |
Germany | 1 | <1% |
Unknown | 177 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 49 | 27% |
Student > Ph. D. Student | 35 | 19% |
Student > Master | 27 | 15% |
Student > Bachelor | 13 | 7% |
Professor | 11 | 6% |
Other | 21 | 11% |
Unknown | 27 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Earth and Planetary Sciences | 77 | 42% |
Environmental Science | 33 | 18% |
Engineering | 13 | 7% |
Agricultural and Biological Sciences | 10 | 5% |
Physics and Astronomy | 4 | 2% |
Other | 14 | 8% |
Unknown | 32 | 17% |