9News Australia: World-first 3D map shows smoke plumes from Australian bushfires as captured from space

9News Australia: World-first 3D map shows smoke plumes from Australian bushfires as captured from space. “In a world-first, an interactive map depicting the height of smoke plumes from bushfires during the peak of Australia’s bushfire crisis has been released. It is hoped that the new tool will improve the Bureau of Meteorology’s ability to predict where potentially dangerous smoke haze will move, as well as provide crucial ‘big picture’ information to disaster management agencies.”

Ars Technica: How Google researchers used neural networks to make weather forecasts

Ars Technica: How Google researchers used neural networks to make weather forecasts. “The researchers say their results are a dramatic improvement over previous techniques in two key ways. One is speed. Google says that leading weather forecasting models today take one to three hours to run, making them useless if you want a weather forecast an hour in the future. By contrast, Google says its system can produce results in less than 10 minutes—including the time to collect data from sensors around the United States.”

SF Gate: Old journals shed light on climate change

SF Gate: Old journals shed light on climate change. “n the 1940s and 1950s, the hunting guide L.S. Quackenbush lived in a cabin in remote Oxbow, Maine. He rented cabins to hunters, cut, stacked and split wood and used his daily walks to keep detailed notes on the spring arrivals of songbirds and the first appearances of flowers and tree leaves. His journals meticulously documenting the changing seasons grew and grew, eventually totaling more than 5,000 pages. Now they are filling gaps on how trees and migratory birds are responding to a changing climate in northern Maine, where historical data is sparse.”

Big data, big world: new NOAA datasets available on Google Cloud (Google Cloud)

Google Cloud: Big data, big world: new NOAA datasets available on Google Cloud. “A vast trove of NOAA’s environmental data is now available on Google Cloud as part of the Google Cloud Public Datasets Program and NOAA’s Big Data Project, opening up possibilities for scientific and economic advances. We are thrilled to make this valuable data available for your exploration. Google Cloud will host 5 PB of this data across our products, including BigQuery, Cloud Storage, Google Earth Engine, and Kaggle. The stored data is available at no cost, though usual charges may still apply (processing, egress of user-owned data, for example).”

NIWA: The week it snowed everywhere

NIWA: The week it snowed everywhere. “NIWA and Microsoft Corp. are teaming up to make artificial intelligence handwriting recognition more accurate and efficient in a project that will support climate research. The project aims to develop better training sets for handwriting recognition technology that will ‘read’ old weather logs. The first step is to use weather information recorded during a week in July 1939 when it snowed all over New Zealand, including at Cape Reinga.”

Phys .org: Recreating Earth through code

Phys .org: Recreating Earth through code. “The first Earth System Model developed and based in Africa are creating one of the most reliable and most detailed modulations of climate change. What does it take to recreate Earth? A couple of thousands of line of code, throw in some data from all the weather stations around the world, and a supercomputer.”

EurekAlert: Using AI to predict where and when lightning will strike

EurekAlert: Using AI to predict where and when lightning will strike. “At EPFL’s School of Engineering, researchers in the Electromagnetic Compatibility Laboratory, led by Farhad Rachidi, have developed a simple and inexpensive system that can predict when lightning will strike to the nearest 10 to 30 minutes, within a 30-kilometer radius. The system uses a combination of standard meteorological data and artificial intelligence.”