Enhancing Earth Observation and Numerical Weather Prediction through a Next-Generation OSSE Framework and Km-Scale GEOS Nature Runs
About the role
This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD).
Description
The project aims to integrate NASA’s next generation of km-scale GEOS Nature Runs into the emerging OSSE framework based on the Joint Effort for Data Assimilation Integration (JEDI). The primary objective is to improve the realism of simulated satellite observations, particularly those sensitive to the lower atmosphere and surface conditions, addressing critical gaps in existing OSSE approaches.
Simulated Observations
- Develop synthetic observations for existing and proposed microwave and low Earth orbit and geostationary orbit infrared sounders using JEDI-based Unified Forward Operator (UFO) tools, such as the Radiative Transfer for TOVs (RTTOV) model.
- The focus will be on improving the realism of simulated observations sensitive to surface conditions and the lower troposphere, and the representation of clouds and precipitation.
Observation Error Estimation
- Develop methodologies to estimate observation errors, transforming idealized observations into realistic datasets.
- This ensures that simulated data from both operational and proposed instruments accurately represent real-world measurement conditions.
OSSE Experiments
- Conduct OSSE experiments to evaluate the impact of these observations on data assimilation and numerical weather prediction.
- Evaluate the impact of the improved circulation and thermodynamics on several aspects of atmospheric composition, including transport, physical and chemical processes.
Expected Outcomes
- A comprehensive dataset of simulated observations for both current and future satellite missions.
- Advanced methodologies for observation error estimation, enhancing the realism of OSSE simulations.
- Quantitative insights into the value of improved observations for weather prediction accuracy, supporting the development of PBL targeted observing systems.
- Publishing findings in peer-reviewed journal papers to share results with the broader scientific community.
Field of Science
Earth Science
Advisors
Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control.
Eligibility
- U.S. Citizens;
- U.S. Lawful Permanent Residents (LPR);
- Foreign Nationals eligible for an Exchange Visitor J-1 visa status;
- Applicants for LPR, asylees, or refugees in the U.S. at the time of application with 1) a valid EAD card and 2) I-485 or I-589 forms in pending status
Questions
Please email npp@orau.org
Qualifications
PhD in Earth Science or related field.
Skills
- Experience with Numerical Weather Prediction (NWP)
- Knowledge of Observing System Simulation Experiments (OSSEs)
- Expertise in Satellite Observations and Remote Sensing
- Ability to develop and implement advanced observation error estimation methods
- Strong programming skills in Python or similar languages
Benefits
Opportunity to work on cutting-edge research projects at NASA Centers and Headquarters.
Pay
Salary range is determined based on qualifications and experience.
Schedule
The fellowship is typically one to three years long.