Scientists have a lot of questions about our planet's most important carbon sink--and a new project could help answer them. NEW YORK, NEW YORK - APRIL 16: Eric Schmidt, former chairman and CEO at GOOGLE visits Fox Business Network Studios on April 16, 2019 in New York City. A foundation created by Eric Schmidt, the former CEO of Google, will fund a project to send drone boats out into the rough ocean around Antarctica to collect data that could help solve a crucial climate puzzle. The project is part of a suite of funding announced today from Schmidt Sciences, which Schmidt and his wife Wendy created to focus on projects tackling research into the global carbon cycle. It will spend $45 million over the next five years to fund these projects, which includes the Antarctic research.

A storm is a type of extreme weather. Therefore, forecasting the path of a storm is extremely important for protecting human life and property. However, storm forecasting is very challenging because storm trajectories frequently change. In this study, we propose an improved deep learning method using a Transformer network to predict the movement trajectory of a storm over the next 6 hours. The storm data used to train the model was obtained from the National Oceanic and Atmospheric Administration (NOAA) [1]. Simulation results show that the proposed method is more accurate than traditional methods. Moreover, the proposed method is faster and more cost-effective

A mysterious sound emitted from the deepest part of the ocean has finally been identified as a Bryde's whale. Now, artificial intelligence is helping researchers track the elusive whale species responsible for the call. The puzzle began in 2014 when researchers recorded a sound resembling a moan followed by metallic sweeping pings over the Pacific Ocean's Mariana Trench. "Your average person would not think that it was made by an animal – they would think it was some ship or the Navy," says Ann Allen at the National Oceanic and Atmospheric Administration (NOAA). Years later, additional recordings of the sound, which researchers call a biotwang, were eventually linked to sightings of Bryde's whales (Balaenoptera brydei) near the Mariana Islands.

As the threat of wildfire worsens in California and across the world, a growing number of federal agencies, nonprofit organizations and tech companies are racing to deploy new technology that will help combat flames from a whole new vantage point: outer space. New satellite missions backed by NASA, Google, SpaceX, the California Department of Forestry and Fire Protection and other groups were announced this week and promise to advance early wildfire detection and help reduce fire damage by monitoring Earth from above. Collectively, the roster of big names, billionaires, government groups and nongovernmental organizations reflects a considerable interest in using new technology to solve some of humanity's biggest problems. Fire weather days have increased in Western U.S. over the last 50 years, with some of the largest jumps in California, according to a new report by Climate Central, a nonprofit news outlet that reports on climate change. Among them is the Earth Fire Alliance, a global nonprofit coalition that recently unveiled its vision for a constellation of more than 50 satellites that will focus specifically on wildfires and their ecological effects.

Pawleys Island, South Carolina, Mayor Brian Henry tells "Your World" that Hurricane Ian was different and brought a significant storm surge to the island. A high-tech sailing drone was deployed onto the Atlantic Ocean near Charleston, South Carolina, this past weekend to collect weather data directly from wicked hurricanes. The autonomous ocean drone, known as a saildrone, was redeployed by California-based company Saildrone Inc., which designs and operates autonomous ocean drones, in partnership with the National Oceanic and Atmospheric Administration (NOAA) to assist the agency in data collection on hurricanes. The same saildrone made international headlines in 2021 when it captured the "first-ever video from inside a major hurricane at sea" when Hurricane Sam barreled across the Atlantic. NOAA has previously incorporated drones into its research of hurricanes and 2023 will see an even larger and more high-tech fleet.

The NOAA Center for Satellite Applications and Research (STAR) is the science arm of the National Environmental Satellite, Data, and Information Service (NESDIS), which acquires and manages the nation's environmental satellites. STAR scientists lead efforts to develop, test, validate, and refine the science algorithms needed to drive user-defined products. They also investigate both enhanced and new sensor technology for future NOAA satellite missions and conduct research to examine which products users will need to carry out NOAA's mission goals. STAR supports the calibration and validation of all data in NOAA's satellite operations and develops new methods for inter-calibrating data from NOAA polar and geostationary satellites with other satellites in the evolving international system. Additionally, STAR collaboratively develops efficient methods and technology to transfer new products from research to operations.

The use of AI (artificial intelligence) technologies is transforming industries from manufacturing to healthcare, retail, agriculture, transportation, and beyond. Precedence Research estimates the global market for AI will reach nearly $1.6 trillion by 2030, up from about $87 billion in 2021. A new AI and machine learning-powered project funded by the NSF (National Science Foundation) will leverage these powerful technologies to transform the way scientists analyze ocean imagery, adding yet one more way AI is changing the way humans interact with everything--from other humans to machines and even data from the depths of the sea. Every day, new information from Earth's oceans is being collected by research crews and ROVs (remotely operated vehicles) equipped with cameras, video cameras, and instruments that measure parameters from the ROV's surroundings, such as water temperature. This equipment allows research vehicles to collect massive amounts of imagery and other data about the ocean.

When you picture a scientist, do you see a white coat-clad PhD-holder pipetting away at a lab bench? Or maybe a skygazer with a different day job who goes out on clear nights for a good view of the stars? Historically speaking, both of those examples fit the bill. German-British astronomer William Herschel was originally an amateur who observed the night sky using homemade telescopes. He discovered Uranus in 1781, working alongside his sister, Caroline Herschel, who made multiple discoveries herself.

The National Oceanic and Atmospheric Administration has shared what it says are the first images and video captured inside a hurricane by a surface drone. The agency placed the Saildrone Explorer SD 1045 in the path of the category-four Hurricane Sam. The saildrone overcame 50-foot waves and winds at speeds topping 120 miles per hour to capture data from the hurricane and offer a new perspective into such storms. The device has a special "hurricane wing" to help it survive the intense wind conditions. The SD 1045 is one of five saildrones that have been in the Atlantic Ocean during hurricane season.

Most children beginning around 2-years old can walk up to a digital assistant in their home these days, say "hey goo-goo", and get a weather forecast dictated back to them. In a quickly-growing trend, AI (Artificial Intelligence) is more and more becoming a part of everyday life. While some enjoy the digital help, performing simple tasks around the home, NOAA and Google signed an agreement to use AI in ways that could transform the weather enterprise. AI in weather is certainly nothing new. Before the fancy name (including machine learning and neural networks), scientists relied on handwritten algorithms for weather detection.