The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University seeks to fill a postdoctoral fellowship as part of a National Science Foundation (NSF) award to be located at CIRA in Fort Collins, Colorado. This fellowship may last up to 3 years contingent upon NSF funding availability.
The data assimilation group at CIRA seeks an individual to fill a Postdoctoral Fellowship to fulfill an NSF grant to investigate the impacts of non-Gaussian errors in both satellite retrievals and mesoscale data assimilation systems and to test a new non-Gaussian, Bayesian-based system against the Gaussian approach. The individual in this position will be a member of the variational data assimilation group and must be able to travel to attend domestic and international conferences/workshops.
The individual in this position will work on the following aspects of the award:
Convert a Gaussian-based satellite retrieval system (i.e., temperature and water vapor) into both a transform- and a lognormal-based retrieval system.
Test and compare the impacts of three retrieval systems under different distributed error scenarios as well as testing with synthetic observations.
Convert the Advanced Research Weather, Research, and Forecasting (WRF-ARW) Model and the Gridpoint Statistical Interpolation (GSI) system to allow for a lognormal component (e.g., for the moisture variable) as well as a version with the logarithmic transform approach.
Test and compare the different versions of the WRF-GSI against different distributed error scenarios.
Write an observation operator for the WRF-GSI to assimilate the different retrieval systems.
Conduct WRF-GSI experiments to assess the impacts on short and medium range forecasts from the different configurations of the retrieval and WRF-GSI system.
PhD by the start date in Physics, Mathematics, Statistics, Remote Sensing, Meteorology, or related field
Higher education in fundamental physics and/or mathematics
Proficiency in Fortran90 or higher and Linux/Linux scripts programming
Knowledge of variational data assimilation
Knowledge of Bayesian Theory
Knowledge of numerical analysis methods
Knowledge of Bayesian retrievals and satellite data
Knowledge of mesoscale numerical modeling
Knowledge of Control Theory
Proficiency in MATLAB or equivalent analysis and display software
Background Check: Colorado State University is committed to providing a safe and productive learning and living community. To achieve that goal, we conduct background investigations for all final candidates being considered for employment. Background checks may include, but are not limited to, criminal history, national sex offender search and motor vehicle history.
Annual Salary: $50,000
Application Deadline: Review of applications will begin on December 15, 2012 and may continue until the position is filled. Apply electronically by sending a resume, cover letter, and the names of three references to the attention of HRS Manager at the following email address: email@example.com . Please put your name in the subject line of the email and reference position 12-125.
Colorado State University does not discriminate on the basis of race, age, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, or gender identity or expression. Colorado State University is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all Federal and Colorado State laws, regulations, and executive orders regarding non-discrimination and affirmative action. The Office of Equal Opportunity is located in 101 Student Services
American Geophysical Union
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