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Commercial Weather Modeling and Services with Brent Shaw
Manage episode 372592954 series 3497729
Jeff Cunningham and Ryan Harris, Jeff Cunningham, and Ryan Harris에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jeff Cunningham and Ryan Harris, Jeff Cunningham, and Ryan Harris 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Show Notes
Hosts: Jeff Cunningham and Ryan Harris
Guest: Brent Shaw, Senior Director of Scientific and Content Engineering at DTN
Description: Weather and climate is big business, but business value creation is not always created with only running the best weather models. Instead, value is generated when weather companies solve customer problems. Learn how Brent Shaw delivers relevant, reliable, and scalable solutions with an understanding a customer's "five whys". In this episode we discuss the latest trends in weather modeling, Brent's experience with the "bird poo algorithm", and many more commercial weather insights. Throughout, Brent gives sage advice for early weather career professionals seeking to work in the military, government, or commercial sectors.
References:
- Climate models warn of possible “super El Nino” this summer (Guardian)
- Climate change could be juicing baseball homeruns (NPR)
- India braces for season’s first heatwave (Weather Channel)
- ForecastWatch
- The same tech used by self-driving cars is now used to measure snow (Spectrum News)
- Historic rain in South Florida causes severe flooding, closing schools and Fort Lauderdale's airport (CNN)
Journey to becoming a commercial weather innovator
(13:11)
How meteorologists can create commercial value
(20:31)
Being reliable, relevant, scalable is really where the money is
(27:16)
Trends in commercial weather modeling
(28:21)
A good place for machine learning is where we know there's a connection between the atmosphere, the ocean, and some impact the customer cares about
(33:52)
Solving problems through the socioeconomic lens
(36:46)
How non-weather/climate communities can start to observe their data better so that we can do machine learning and AI better
(39:14)
The role of government and commercial weather services
(43:21)
The bird poo algorithm!
(45:38)
Does a weather and climate company need to own the vertical?
(52:55)
The gamer changer "SpaceX" moment for weather commercialization
(59:44)
Thoughts for early career professionals
(1:01:45)
41 에피소드
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