Spire Global is seeking an experienced and motivated NWP (Numerical Weather Prediction) modeler to lead a model team to implement, improve and validate its global weather forecast systems including the next-generation non-hydrostatic global model dynamical cores and physical parameterization packages suitable for high-impact weather forecasts at high resolution globally.
Spire Global weather forecasting systems, including data assimilation, are developed in support of our satellite missions to test the value and impact of large number of Radio Occultation (GNSS-RO) soundings on global weather forecasts.
This is an exciting opportunity for a motivated NWP modeler to lead an NWP team. The selectee will work with data assimilation and software engineers (SEs) in Spire, as well as scientists from around the world to assimilate unprecedented amounts of GNSS-RO satellite data to make weather forecasts better. The successful candidates will join our weather team at Spire branch office in Boulder, Colorado, USA.
The goal of the successful candidate is to lead Spire’s NWP team to develop and deliver a state-of-art next generation non-hydrostatic global model and to collaborate with Spire’s data assimilation scientists and software engineers to assimilate and demonstrate the positive impact of large amounts of R-O data on weather forecasts. The model team will also support the technical products team for weather business opportunities.
Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth.
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