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Reflective

Accelerates SRM research with open-source tools

Scientist – Plume Modeling and Forecasting

Environmental SciencesConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • A PhD in atmospheric science, fluid dynamics, or a closely related field, or equivalent research experience.
  • Experience running high-resolution or large-eddy simulations of dispersing material, such as plumes, tracers, or reacting flows, and comparing them against measurements.
  • Hands-on forecasting or mission-science experience on an airborne or balloon field campaign, including planning flights from ensemble forecasts and making real-time calls during them.
  • Comfort with Python and, ideally, Fortran on high-performance computing systems.
  • Ability to clearly state what a model result does and does not support, and document it so others can act on it.
  • Excellent written and verbal communication skills, especially with mixed scientific, engineering, and non-technical audiences.
  • Creativity, focus on outcomes rather than process, openness to finding new approaches, and willingness to change course when a better approach is available.
  • Low ego and a proven track record of working well across disciplines and with external partners.
  • Passion for Reflective’s mission.

Responsibilities

  • Lead plume forecasting for balloon-based tracer campaigns with external partners, working within the partner’s data assimilation and forecasting process while developing in-house capabilities. These campaigns test forecasting methods and are distinct from the potential aerosol microphysics experiment.
  • Develop and evaluate plume forecasting capabilities over the 24- to 72-hour horizons a potential field study would require, documenting performance limits and their implications for feasibility.
  • Quantify forecast uncertainty to support planning, including where ensemble spread places the plume, how that spread grows with lead time, and implications for search patterns and instrument settings.
  • Translate forecast results into requirements for the observing team, including viewing geometry, altitude, timing, and expected plume extent for daytime visualization systems.
  • Model detailed plume evolution to support numerical experiments testing candidate observing suites and sampling cadences at realistic density and instrument fidelity.
  • Verify forecasts from each tracer campaign against observations and report where they failed.
  • Own Reflective’s plume-scale modeling through large-eddy and plume-resolving simulations of injected material from release through dispersion, covering the regime global emulators cannot resolve.
  • Turn plume-scale results into inputs for the global framework, including dilution rates, an effective source term, and a parameterization of plume-scale effects as a function of background conditions.
  • Serve as the multi-scale team’s point of contact for the experiment team on plume-scale questions, explaining what modeling can predict, what it cannot, and what observations could resolve those questions.
  • If a field study proceeds, serve as mission scientist by providing real-time forecast updates, go/no-go input, and direction to pilots and instrument operators on where to sample.

Desired Qualifications

  • Experience with JAX or other differentiable modeling frameworks.

About the Company

Reflective

Accelerates SRM research with open-source tools

Reflective is a nonprofit funded by philanthropic grants that accelerates research into sunlight reflection (solar radiation management) and stratospheric aerosol injection to inform near-term climate decisions rather than advocate deployment. It defines research roadmaps, funds priority studies, and provides open-source tools, including the Reflective Cloud—a free cloud computing platform with climate model data for researchers to run simulations and share results. Unlike for-profit competitors, Reflective maintains a transparent funding policy and avoids funds from fossil-fuel-linked sources, focusing on open, collaborative science and governance. Its goal is to create a robust knowledge base and practical tools to guide socially informed policy decisions about if and how sunlight reflection techniques could be deployed.

Company size
1-10
Company stage
Not listed
Total funding
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Founded
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