There's only one thing better than hearing a pleasant weekend weather forecast, and that is hearing a pleasant weekend weather forecast with a dog on screen. Josh Judge, weatherperson for news channel WMUR-9 out of Manchester, New Hampshire was giving a routine weather report recently when a large, floofy dog casually walked behind him. "So it's not the dog days of summer just yet," joked Judge, as the dog strolled off camera and he turned back to the weather report. The dog's name was later revealed to be Bella and she is a very good girl. Hopefully, more news stations will integrate canine correspondents into their weather reports.
A new app gives users minute-by-minute updates for the weather happening right outside their doors by turning almost any device into a sensor. The Boston-based startup, ClimaCell says'hyperlocal' weather updates -- which are now available for locations in 50 countries around the world -- utilize'non-traditional' sensors to give more accurate forecasts. Those sensors include devices many come in contact with every day, including cell-phones, towers, connected cars, street cameras, from which the company can glean real-time measurements of temperature precipitation and more. Using a proprietary technology, ClimaCell says it can turn phones, cars, and more into the'weather of things' A new weather modeling service, ClimaCell says it uses the'weather of things' technology to give minute-by-minute forecasts. The method turns mobile devices, cell towers, connected cars, and other visual and radio sensors into a web of weather-predicting machines.
Since the 1980s, supercomputer-powered weather models have added a new day of predictive power with each new decade. Today, the best forecasts run out to 10 days with real skill, leading meteorologists to wonder just how much further useful forecasts can go. A new study suggests a humbling answer: another 4 or 5 days. A seminal 1969 paper by Edward Lorenz introduced what would later be dubbed the "butterfly effect": The chaotic, nested turbulent flows of the atmosphere would make it impossible to forecast the weather after 2 weeks, he suggested. Until recently, however, global weather models have been unable to render the small-scale cloud-forming processes that drive such chaos.
Grounding the world's commercial airliners in an attempt to stop the coronavirus crossing international borders could have an unexpected effect: weather forecasts may get less accurate. That is because commercial planes often carry meteorological instruments and the readings they gather feed into weather forecasting models. With most flights cancelled, this valuable dataset has been temporarily lost. Stan Benjamin at the US National Oceanic and Atmospheric Administration says a similar situation occurred in 2010. That spring, the ash-laden eruption of Iceland's Eyjafjallajökull volcano triggered Europe's biggest shutdown …