I’m Jason Furtado, a climate scientist who studies why the atmosphere behaves the way it does days to weeks ahead, and how to turn that into forecasts people can act on. I also study how weather extremes today are changing from the past (frequency and intensity) and how they may change in the future.
I created JF Weather & Climate Analytics, LLC to give industries an independent expert view of subseasonal-to-seasonal weather risk and climate risk management. I have two decades work of experience and expertise in these areas. I earned dual B.S. in Meteorology and Mathematics at Lyndon State College, a M.S. in Atmospheric Science at Colorado State University, and a Ph.D. in Earth and Atmospheric Sciences at Georgia Institute of Technology. From 2011 to 2015 I was a climate scientist and consultant at Atmospheric and Environmental Research near Boston, where I built products and targeted research for clients in finance, agriculture, and energy.
Since 2015 I have been a professor at the University of Oklahoma, where I lead a research group on climate dynamics, Pacific climate variability, and subseasonal prediction of extreme weather. We have studied how the stratosphere and the tropics shape North American cold outbreaks, tested how well forecast models predict them, including the February 2021 Great Plains event, and linked winter weather patterns to electricity load. We also identified new sources of predictability for ENSO-Pacific teleconnection patterns using previously-untapped knowledge of Southern Hemisphere variability. My research portfolio totals about $7.2M in federal and private funding, and my work has produced more than 60 peer-reviewed papers in top international journals. This work has also been recognized by numerous media outlets in the US and globally.
| Credentials at a Glance | |
|---|---|
| Certification | AMS Certified Consulting Meteorologist (CCM), 2026 |
| Education | Ph.D., Earth & Atmospheric Sciences (Georgia Tech, 2010); M.S., Atmospheric Science (Colorado State, 2005); B.S. Math & Meteorology (Lyndon State College, 2002) |
| Research Record | 66 peer-reviewed papers (e.g., Nature Geoscience, Journal of Geophysical Research, Journal of Climate) |
| Funded Research | PI / Co-PI on ~$7.2M in funding (NSF, DOE, NOAA, USGS, Industry) |
| Leadership | Editor, AI for the Earth Systems; Co-Chair, US CLIVAR PPAI Panel; |
| Awards & Honors | Chesapeake Energy Professorship in Climate Systems Science; OU Research Excellence Award; Karlsruhe Institute of Technology International Excellence Fellow |
| In the News | 100+ interviews (NPR, AP, NYT, Discovery Canada, The Weather Channel) |
Every forecast signal and climate risk assessment is done with your specific needs in mind and with data suited for your industry, ensuring insights that matter to your bottom line.
Weather and climate predictions carry inherent uncertainties, especially extreme weather. You can expect clear output and results with proper uncertainty in the quantities explained, allowing for actionable strategic decisions for your industry.
You can expect direct access to expert guidance when high-impact weather events emerge. Expect responsive communication and tailored discussions to support critical operational decisions.
My career as an atmospheric scientist is grounded in offering honest, fully transparent, and scientifically rigorous work. Methodologies and final products and results will be fully documented, explained and reproducible, ensuring compliance for leadership and your own clients.
