This Post-Doctoral position will investigate data-driven methods to predict regional hydroclimate beyond year-1, with a specific focus on predictive understanding of western North America hydroclimate (temperature, precipitation, soil moisture, etc.) and its primary climatic drivers (e.g. ENSO and other oceanic variability).
Date posted
May 6, 2024 2:45 am
Application deadline
May 22, 2024 5:00 pm
Organization
CIRES/NOAA PSL at the University of Colorado Boulder
Location
Job description
Understanding the predictability of the climate system greater than a year in advance is a critical challenge in supporting the management of water resources. This Post-Doctoral position will investigate data-driven methods to predict regional hydroclimate beyond year-1, with a specific focus on predictive understanding of western North America hydroclimate (temperature, precipitation, soil moisture, etc.) and its primary climatic drivers (e.g. ENSO and other oceanic variability).
The chosen candidate will develop and evaluate new data-driven models to examine seasonal climate predictability at lead times from 1-3 years. Emphasis will be on developing and improving machine learning models that predict the time evolution (that is, dynamics) of the system. The position will be part of the S2S2D (sub-seasonal to seasonal to decadal) team at PSL. The work will build on and extend the extensive contributions of the S2S2D team in using data-driven and machine learning methods applied to observational data, reanalyses, and forecast model output to study predictability and develop experimental forecast products.
While the focus of this position is on developing and evaluating improved prediction methods and a better understanding of hydroclimate predictability on these time scales, the eventual goal of the project is to provide the California Department of Water Resources (DWR) with probabilistic long-term outlooks.
The candidates should have excellent technical and communication skills and be comfortable working in a team environment. This is a two-year position with the possibility of extension to a third year based on performance and achievement of project goals and the availability of funding. The position is located in Boulder, Colorado.
The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.
Please use this link to apply.
https://jobs.colorado.edu/jobs/JobDetail/CIRES-NOAA-Physical-Sciences-Laboratory-Post-Doctoral-Associate-in-Multiyear-Hydroclimate-Predictability-Data-Driven-Modeling/56062
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