DrivenData Labs

NOVEMBER 14, 2023

AIRS data is often used to improve weather forecasts, build climate models, and monitor volcanic plumes. HRRR updates every single hour and provides estimates with 3-km resolution. HRRR has been used for applications like predicting the path of wildfire smoke and optimizing wind energy use. AIRS and MODIS are both aboard the Aqua satellite.

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AWS Machine Learning Blog

FEBRUARY 23, 2023

Supports high resolution but bad at depth estimation and handling extreme weather conditions. Radar – Supports long and short ranges and works well in low visibility and extreme weather conditions. LiDAR – Expensive devices providing data about the surroundings as a 3D point cloud. Provides accurate depth and speed estimation.

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DrivenData Labs

NOVEMBER 16, 2023

Better estimates of "snow water equivalent" (SWE) from real-time satellite, ground station, and meteorological data helps water managers plan resources and respond to extreme weather events like floods and droughts.

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Defined.ai blog

SEPTEMBER 14, 2023

Using a combination of cameras, Light Detection and Ranging (LiDAR) , and radar, these vehicles interpret their surroundings, making split-second decisions that can prevent accidents. Factors such as lighting, weather conditions, or obstructions can severely hamper the performance of diverse computer vision applications.

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DrivenData Labs

JULY 19, 2023

Given the diverse landscape and shifting climate, accurate estimates of snow water equivalent (SWE) at a high spatiotemporal resolution are increasingly important to inform water management decisions and help respond to extreme weather events such as floods and droughts.

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Snorkel AI

JULY 6, 2023

So for instance, as I said, labeling for Lidar is very hard and radar would also come with velocities, which would also be very difficult. Is it possible to change sort of the camera, weather conditions, all of those aspects when you’re trying to iterate on the images that you’re trying to generate?

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Snorkel AI

JULY 6, 2023

So for instance, as I said, labeling for Lidar is very hard and radar would also come with velocities, which would also be very difficult. Is it possible to change sort of the camera, weather conditions, all of those aspects when you’re trying to iterate on the images that you’re trying to generate?

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Towards AI

JANUARY 26, 2023

Delays in air traffic are caused by factors such as air system delays, security delays, airline delays, late aircraft delays, and weather delays. ATC systems use a combination of radar, communications, and other technologies to track and manage aircraft in the airspace.

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DrivenData Labs

SEPTEMBER 7, 2023

Satellites with different instruments and in different orbits can allow, for example, meteorologists to measure weather patterns in near-real time , disaster responders to monitor flooding events even through cloud cover , or conservationists to map deforestation over years. This variability is helpful for different uses.

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Hacker News

FEBRUARY 26, 2023

1989) added random events, including weather. This push, incidentally, is what put the game on my radar: Microsoft Flight Simulator for Windows 95 came bundled with my family’s first Windows 95 computer.) Weather is often stunningly beautiful, but it only vaguely mimics the real world. Microsoft Flight Simulator 2.0

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Precisely

SEPTEMBER 7, 2023

In light of a rapidly shifting threat environment, weather-related events obviously play a huge role in P&C losses. Consequently, the ability to refine a carrier’s risk models with respect to catastrophic weather events has a huge impact on loss ratios and, therefore, on overall profitability.

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Flipboard

JULY 31, 2023

The dataset is created using the Unity game engine and contains 50 high-resolution monocular videos (21,260 frames) generated from five different virtual worlds in urban settings under different imaging and weather conditions. National Oceanic and Atmospheric Administration (NOAA) : This dataset contains over 20PB of weather and climate data.

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IBM Journey to AI blog

AUGUST 22, 2023

The popularity and wide use of weather forecasts has been largely attributable to the dramatic improvement in forecast accuracy. Such improvements have been quantified in recent research showing that modern 5-day weather forecasts are as accurate as 1-day forecasts in 1980.

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Dataconomy

NOVEMBER 15, 2023

Google DeepMind’s latest innovation, GraphCast weather forecast AI, marks a significant advancement in weather prediction technology. The impact of weather is ubiquitous, influencing everything from daily wardrobe choices to energy production, and in extreme cases, creating storms that have profound effects on communities.

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