What You Will Do:
- This position is under the Joint Center for Satellite Data Assimilation (JCSDA) and provides support for the enhancement of the New and Improved Observations (NIO) project. The JCSDA NIO project is tasked with advancing the state-of-the-art research in satellite data assimilation.
- The JCSDA/NIO project will develop DA capabilities using Geostationary Interferometric Infrared Sounder (GIIRS) observations, as a proxy of EUMETSAT Meteosat Third Generation (MTG)-InfraRed Sounder (IRS) and other similar future measurements. GIIRS is a geostationary hyperspectral infrared sounder carried by China’s Fengyun-4 satellite series. The goal of this work is to demonstrate how to take advantage of the high temporal and spectral resolution of GIIRS data to improve forecasts of significant weather phenomena such as hurricanes and extratropical cyclones, winter storms, and severe weather outbreaks.
- This work is collaborated with the Space Science and Engineering Center (SSEC) at the University of Wisconsin-Madison. The incumbent will work closely with JCSDA and SSEC team members, specifying on data handling and processing. The incumbent will also engage with Joint Effort for Data assimilation Integration (JEDI) at the JCSDA associated with this type of data.
- In order to enhance and maintain the collaboration between the JCSDA and SSEC, this position will be located at SSEC, Madison, WI.
- Acquire and achieve GIIRS data to fulfill the project need, in collaboration with SSEC
- Adapt radiative transfer model for GIIRS
- Build GIIRS data assimilation capability in the JCSDA data assimilation systems, including data Quality Control (QC), data thinning and selection, bias correction, as well as other necessary procedures for data assimilation
- Evaluate data impact using OSE and FSOI approaches
- In coordination with the NIO Project Lead, establish and maintain collaborations with SSEC and other JCSDA partners. Bridge development at SSEC and JCSDA
- Contributes to project reports. Authoring scientific/resource publications and attending/giving presentations at national or international scientific conferences is expected.
What You Need:
Education and Years of Experience:
- Ph.D. in a relevant science.
- Applicants should have expertise in data assimilation. Experience of hyperspectral radiance data is desirable but not required. Knowledge and experience of the Community Radiative Transfer Model (CRTM) or similar radiative transfer models are preferred. Technical skills include proficiency in programming on high-performance computers and familiarity with operational-quality data systems.
Knowledge, Skills, and Abilities:
- Knowledge of satellite data processing. Experience with common data formats (e.g., NETCDF, HDF, BUFR, etc). Demonstrated skills in data inter-format conversion.
- Knowledge and experience of satellite radiance data assimilation and associated working areas (e.g., QC, bias correction, thinning, etc). Familiar with data assimilation system(s) (e.g., GSI, WRFDA, JEDI, etc)
- Strong skills in programming (Fortran 90+, C++, etc) and scripting (e.g., Python).
- Ability to work as a part of a larger group using a modern code management framework (Git, Continuous Integration / Agile programming methods, etc.)
- Highly collaborative, organized, and detail-oriented. Ability to be a productive member of a research team with good interpersonal skills.
- Good communication skills with an emphasis in technical communication.
- This position is subject to work location requirements for obtaining access to facilities and research systems. These requirements may include a combination of national security checks, credit checks, fingerprinting, or other security clearance requirements.