The NES Large Marine Ecosystem supports some of the most commercially valuable fisheries in the world and has experienced dramatic ecosystem change in response to fishing pressure, climate variability and climate change, the combined effects of which create a huge challenge for fisheries stock assessment in this region. Incorporating physical environmental variables into stock assessment population models and subsequent forecasts could improve model performance and reduce uncertainty in future population size. This project aims to develop and test a new statistical seasonal-to-interannual prediction system for ocean temperatures on the NES, specifically tailored to the needs of NOAA Fisheries stock assessments. The primarily goals will be: (1) to use previously described statistical relationships linking shelf ocean temperature to various basin-scale and local variability, e.g. North Atlantic Oscillation, Gulf Stream path, and coastal sea-level, to develop a prediction system at the 3–36 month time scale; (2) to evaluate this system in the context of selected stock assessments executed by NOAA Fisheries; and (3) to clarify the dynamical basis for the statistical relationships using ocean hindcast models and coupled ocean-atmosphere models.
Qualifications
This position will be located primarily at WHOI with some
expectation for travel to scientific meetings and to meet with regional
partners. The rate of pay is $25-28/hr and is eligible for the
benefits described on the Integrated Statistics website. This position is full-time
for one year, with the potential for annual renewal up to three years, conditional on
the PR making satisfactory progress during the prior year(s) and continuation
of funding.
Candidates may be asked to provide writing samples (e.g. copies of
relevant publications), and contact information for at least three professional
references.
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