The Atmospheric Sciences and Global Change Division at Pacific Northwest National Laboratory (PNNL) is seeking one (1) highly motivated postdoctoral research associate to work on regional CO2 flux estimation modeling within NASA carbon cycle program such as Carbon Monitoring System (CMS, https://carbon.nasa.gov/).
The incumbent will contribute to the development and evaluation of regional carbon flux estimation modeling framework leveraging constraints from an increasingly large volume of satellite (i.e. OCO-2, OCO-3, GeoCARB) and in situ CO2 data, aiming at in improving spatial resolution and uncertainty quantification and improving the fidelity of atmospheric transport simulations. The assignments will include one or more of the following:
• assessing transport, biogenic CO2 flux, and boundary condition uncertainty over North America using an ensemble approach
• evaluating the impact of the uncertainty quantifications on the estimated CO2 fluxes
• implementing a variety of CO2 measurements into an Eulerian hybrid 4DVar framework
• designing and carrying out a set of Observation System Simulation Experiments (OSSEs) for GeoCARB
The incumbent will work in close collaboration with carbon data assimilation experts at PNNL and various institutions and companies, Bayesian inversion modelers and experts in ground-based measurements at NOAA, and satellite retrieval experts at Colorado State University.
Required qualifications:
o A Ph.D. in atmospheric science, geoscience, environmental science, civil and environmental engineering, or a related field;
o Demonstrated experience in atmospheric modeling;
o Experience with high-performance computing environments;
o Fluency in Fortran, NCL, and Python/shell scripting.
Preferred qualification:
o Experience in developing and evaluating atmospheric transport models (e.g., WRF-Chem, CMAQ, JEDI).
o Strong interpersonal communication skills;
o Ability to publish work in peer-reviewed journals;
o Strong team player with the willingness and ability to work independently.
To apply, please upload your CV to https://careers.pnnl.gov/jobs/2305?lang=en-us by November 3rd, 2021
The incumbent will contribute to the development and evaluation of regional carbon flux estimation modeling framework leveraging constraints from an increasingly large volume of satellite (i.e. OCO-2, OCO-3, GeoCARB) and in situ CO2 data, aiming at in improving spatial resolution and uncertainty quantification and improving the fidelity of atmospheric transport simulations. The assignments will include one or more of the following:
• assessing transport, biogenic CO2 flux, and boundary condition uncertainty over North America using an ensemble approach
• evaluating the impact of the uncertainty quantifications on the estimated CO2 fluxes
• implementing a variety of CO2 measurements into an Eulerian hybrid 4DVar framework
• designing and carrying out a set of Observation System Simulation Experiments (OSSEs) for GeoCARB
The incumbent will work in close collaboration with carbon data assimilation experts at PNNL and various institutions and companies, Bayesian inversion modelers and experts in ground-based measurements at NOAA, and satellite retrieval experts at Colorado State University.
Required qualifications:
o A Ph.D. in atmospheric science, geoscience, environmental science, civil and environmental engineering, or a related field;
o Demonstrated experience in atmospheric modeling;
o Experience with high-performance computing environments;
o Fluency in Fortran, NCL, and Python/shell scripting.
Preferred qualification:
o Experience in developing and evaluating atmospheric transport models (e.g., WRF-Chem, CMAQ, JEDI).
o Strong interpersonal communication skills;
o Ability to publish work in peer-reviewed journals;
o Strong team player with the willingness and ability to work independently.
To apply, please upload your CV to https://careers.pnnl.gov/jobs/2305?lang=en-us by November 3rd, 2021