|From||"Roger Brugge" <firstname.lastname@example.org>|
|Date||Tue, 14 Oct 2014 16:44:00 +0000|
Forwarded from CLIMLIST... We are looking for a Post-doctoral Research Associate who will use both observed data and climate model data in order to determine how and why the frequency and intensity of extreme temperatures has changed in the past. Of particular interest are the 1930s and 40s, where many of the record high temperatures in the US were set, but the goal of the project is to understand the wider variability in regional temperature distributions and its causes from the entire available record. Questions include: how much does the occurrence of cold and hot spells vary from decade to decade? How much of that change is due to external influences on climate such as greenhouse gas increases or volcanic eruptions? Did the North Atlantic ocean surface temperature or sea ice cover in the Arctic affect the probability of hot summers or cold winters in the past? To what extent are recent extreme events hotter /less cold then similar extremes would have been earlier in the 20th century? What caused the temperature records in the US in the early part of the 20th century? The post arises from the ERC advanced grant ‘Transition Into the Antropocene’ (TITAN; Feb 2013-Jan 2018). The project aims at determining the causes of climate change over the instrumental record, with particular emphasis on the period prior to 1950. The project is performed by a team analysing observed data for temperature, precipitation, sea ice and extremes, and modelling the effect of external drivers and sea surface temperature on climate with the purpose of determining the role of external drivers, ocean surface conditions and climate variability on observed changes and events in the instrumental record. The successful candidate should have a PhD in Geoscience, preferentially in climate research; either already obtained or close to obtaining. Quantitative analysis skills; computing experience e.g. matlab, IDL, python are essential. Experience in analysing climate data from models or observations; particularly, an understanding of the role of dynamics and external drivers on climate variability and change is desirable. This post is available from November 2014 (or a soon as possible thereafter) and is fixed term for 24 month with the possibility of extension. For questions please contact Gabi Hegerl <email@example.com>, for application please use this link: <https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=031535 > Closing Nov 3, 2014.
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