Postdoc position – predictability of subseasonal shifts in California precipitation through statistical and modeling studies

University of California, Irvine, CA,USA
Closing date: not specified

University of California is looking for an ambitious postdoctoral research associate or project scientist interested in a research project examining the large-scale atmospheric circulation over the Pacific on subseasonal to seasonal (S2S) timescales, examining processes in the Earth system that are precursors to major shifts in California precipitation regimes within the water season (Oct – April). The project is focused on analyzing the large-scale atmospheric circulation and teleconnection patterns involving the tropics and the stratosphere, focusing on years when we observe a pronounced shift in CA precipitation.

The project will involve modeling using a comprehensive global climate model that resolves the stratosphere (the Whole Atmosphere Community Climate Model), forced with prescribed sea surface temperature or coupled to an ocean model. A nudging method will be used to impose S2S modes of climate variability in the model (e. g., Madden-Julian Oscillation, Quasi-Biennial Oscillation), and assess their influence on the development and the predictability of atmospheric rivers that provide most CA precipitation. The project involves collaborations within our research group, including Dr. Yannick Peings, as well as members of a group in the Department of Computer Science at UCI who work on machine learning and statistical models for spatial and temporal data.

The term of appointment is for one year, and renewable for up to two more years, subject to satisfactory progress. Start dates are flexible, but we are eager to start as soon as possible. A strong foundational background in atmospheric dynamics is required, with expertise in large-scale atmospheric dynamics, as applied to diagnostic studies and modeling. Well-qualified candidates will be knowledgeable about the large-scale extratropical circulation on many time scales (synoptic to decadal) including storm-track and jet-stream dynamics, the major teleconnection patterns and their forcing mechanisms that may involve different parts of the climate system. Computational and statistical fluency is required for this position and candidates should be comfortable dealing with large data sets. Responsibilities will include designing, running and analyzing numerical experiments, unraveling process-level mysteries, and leading hypothesis driven publications.

The postdoctoral scholar or project scientist will work closely with Gudrun Magnusdottir and Yannick Peings. There are opportunities to collaborate with other members of Earth System Science at UC, Irvine, as well as our colleagues in Information and Computer Science who are exploring machine learning and spatio-temporal statistical models applied to this and similar problems.

The Earth System Science Department at UC Irvine is a highly interdisciplinary environment comprising ~ 25 faculty with expertise across many components of the Earth System, including atmospheric and climate dynamics, land surface processes, terrestrial and marine biogeochemical cycles, ice sheets, and human systems. The University of California is known for offering competitive retirement savings, health (including dental) and family benefits, and has a strong institutional commitment to inclusive excellence and diversity.

Please send your CV to Prof. Gudrun Magnusdottir,  gudrun@uci.edu with the subject “Postdoc Application”.


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