[Music] What if you tried your best every single day, but you constantly had someone telling you how wrong you are? You might feel a little sad, upset, or maybe you'd feel like a meteorologist. I mean, we get paid to be wrong and still have a job, right? Well, today a 4-day forecast is as accurate as a one-day forecast was 30 years ago. But most people focus on when we get it wrong. That's what they remember. You probably do this in your own life. The day is 90% great, but someone says something to you. We ...

4 Reasons Meteorologists Are Concerned About Tropical Storm Melissa https://t.co/LeCpshAB4L ...

Now, on the afternoon of January 6th, 2025, I was conducting my 1,991st daily trash pickup at Eaten Canyon. I was partway through that cleanup, sitting at the uh first crossing when I sat down on a rock, looked at the trees, looked at the birds, looked at the mountains, and wondered to myself if this was the last time I'd ever get to experience the serenity of this park. You see, I work as a hyper local meteorologist and on that day I was forecasting a major Santa Ana windstorm to strike the community.Now, ...

Weather Forecasting Challenges & Opportunities - Weather forecasts significantly impact daily choices and various critical systems [2] - Current weather data collection is insufficient, with 85% of the planet lacking adequate atmospheric observations [9] - The Pacific Ocean represents a major observational gap, impacting weather forecasts, especially for regions like California [10] - Traditional weather models struggle with the complexity of atmospheric processes at scales smaller than the grid resolution [20][21] Technological Advancements & Solutions - The company utilizes long-duration controllable balloon systems for comprehensive atmospheric monitoring [14][15] - These balloon systems offer access to any point in the sky at a lower cost and environmental impact compared to existing technologies [14] - Deep learning models have emerged as a promising alternative to traditional physics-based weather models, demonstrating remarkable accuracy and efficiency [23][24][26] - Deep learning models offer potential for tailored forecasts for specific applications, such as wind farm output and seasonal agricultural planning [27] Impact & Future Directions - Data collected on oceanic winds during hurricane season in 2022 led to a 20% reduction in trajectory error at the 6-day forecast in US operational weather models [17] - Advances in hardware and AI are driving a transformation in how humanity interacts with weather, enabling easy access to automation and improved decision-making [30]