Enhancing Earth Observation and Numerical Weather Prediction -Generation OSSE Fra

Overview

Organization
National Aeronautics and Space Administration (NASA)

Reference Code
0319-NPP-NOV
26-GSFC-Earth Sci

How To Apply
All applications must be submitted in Zintellect
Please visit the NASA Postdoctoral Program website for application instructions and requirements:

How to Apply

| NASA Postdoctoral Program (orau.org)

A complete application to the NASA Postdoctoral Program includes:

• Research proposal
• Three letters of recommendation
• Official doctoral transcript documents

Final date to receive applications
11/1/2026 6:00:59 PM Eastern Time Zone

About the NASA Postdoctoral Program
The NASA Postdoctoral Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.

Description
This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD).

Observing System Simulation Experiments (OSSEs) have their roots in Numerical Weather Prediction (NWP) dating back to the 1980s. The classic NWP OSSE was limited in scope where conventional and remotely sensed weather data were simulated and assimilated into weather prediction models to assess their impact on forecast skill. Since then, the concept of OSSEs has evolved to include the simulation of a vast observing system serving various disciplines, including active and passive sensors targeting atmospheric constituents, clouds and precipitation, for example.

To date, OSSEs are still a vital framework for assessing the potential impact of current and future suborbital and spaceborne observing systems on numerical weather prediction. By leveraging Nature Run simulations and synthetic observations from proposed instruments, OSSEs provide a rigorous and systematic approach to optimize mission design and guide strategic investments in Earth observation systems.

This 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. In addition, the convection-allowing, kilometer-scale Nature Run provides a more realistic simulation of all-sky radiances and serves as an environment for developing algorithms to assimilate active remote sensing data, such as that from radars and lidars, which will become available with NASA’s Earth System Observatory (ESO).

Proposed Activities (suggested but not limited to)

• 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. We will also assess 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…