Researchers from the Finnish Meteorological Institute have reliably estimated the amount of snow in the Northern Hemisphere.
They found that snow mass between 1980 and 2018 has remained the same in Eurasia and decreased in North America, but the extent of cover has decreased.
The changes were monitored using satellite observations and ground measurements.
Previous estimates varied so much that it was not possible to gain a coherent or reliable picture, but the Finnish researchers have developed a method reducing error margins.
Jouni Pulliainen, lead author of the paper and research professor at the Finnish Meteorological Institute, said, “The method can be used to combine different observations and it provides more accurate information about the amount of snow than ever before.
Vaisala Digital has launched its Wx Horizon product to manage the impact of winter weather on ground transportation.
The service from Vaisala’s digital division analyzes and visualizes road data in real time providing decision makers with information to ensure people can travel safely.
Wx Horizon combines input data including mobile observations to improve route-based forecast outputs, using forecasting models providing accurate information on the near-term weather impact on travel.
The data comes from mobile sensors, Internet of Things sensors, road weather information systems and environmental sensor stations using a cloud-hosted interface, providing a clear picture of the state of roads.
NOAA is predicting an above-normal 2020 Atlantic hurricane season, according to forecasters at its Climate Prediction Center.
Forecasters say there is a 60% chance of an above-normal season and a 30% chance of a near-normal season, which runs from June 1 to November 30.
The prediction center is expecting up to 19 named storms, of which up to 10 could become hurricanes including three to six major hurricanes.
El Nino Southern Oscillation conditions are expected to either remain neutral or trend towards La Nina, so El Nino will not suppress hurricane activity.
Warmer-than-average sea surface temperatures in the tropical Atlantic Ocean and the Caribbean, coupled with reduced vertical wind shear, weaker tropical Atlantic trade winds and enhanced west African monsoons, increase the likelihood of an above-normal Atlantic hurricane season.
Experts from Stanford University’s School of Earth, Energy and Environmental Sciences in the US are using artificial intelligence and satellite data to predict wildfires across their western states.
The team, who specialize in hydrology, remote sensing and environmental engineering, have developed a deep-learning model to map fuel moisture levels across states from Colorado, Montana, Texas and Wyoming to the Pacific coast.
The model, which is said to require further testing, looks for forest dryness unfolding pixel by pixel, revealing areas that are at greatest risk for catching fire. Indeed, lead author Krishna Rao, a PhD student in the Earth system science, says the system uses a recurrent neural network, an artificial intelligence system that learns to recognize patterns in vast mountains of data.
The recently published Annual Report of the Climate Risk and Early Warning Systems (CREWS) initiative released by the WMO, the World Bank Group Global Facility for Disaster Reduction and Recovery (GFDRR), and the United Nations Office for Disaster Risk Reduction (UNDRR) has highlighted the need to further invest in multi-hazard threat warnings.
The report highlights the significance of cooperative action by the agencies to save lives and livelihoods by advancing early warning systems. Indeed, the CREWS Trust Fund has delivered over US$43m in project funding and made another US$270m from public funds available.
Projects in the developing world include using 3D printers to build automatic weather stations in Afghanistan, providing rural farmers in Burkina Faso with weather forecasts via local radio stations and providing residents in Fiji with advanced flash flood warnings.
The coronavirus pandemic has affected the health of millions of people globally — including two million Europeans. This transition has led to a steep change in the traditional European workspace and work habits. With stay-at-home and social distancing orders, wind energy industry professionals are struggling to find the resources to complete field tasks and tasks that require travel.
The wind energy industry specifically is experiencing supply shortages due to the uncertainty from COVID-19. These projects also require face-to-face meetings with communities, permitting authorities and government bodies.
But even with those challenges during COVID-19, in certain European states, such as Greece, renewable energy projects have continued to proceed, even while the country manages the effects of the pandemic.
Hurricanes are getting stronger according to US researchers who studied 40 years of satellite images.
The research was carried out by the NOAA National Center for Environmental Information and the University of Wisconsin-Madison (UW-Madison) Cooperative Institute for Meteorological Satellite Studies. The findings build on previous work by James Kossin, a NOAA scientist based at UW-Madison and lead author of the paper, which identified trends in hurricane intensity over 28 years.
To improve the results, the researchers studied data from 1979 to 2017 using analytical techniques, including the CIMS Advanced Dvorak Technique. The technique relies on infrared temperature measurements from geostationary satellites to estimate hurricane intensity, creating a more uniform data set.
Indian airline IndiGo has signed an agreement with the Indian Meteorological Department (IMD) to provide crucial weather data from its aircraft sensors. The low-cost carrier will provide data for wind, humidity and temperature.
The move comes as India’s meteorological department has been lacking data due to most flight operations being cancelled during the national lockdown as well as staff constraints.
IndiGo pilots will report high-level wind and temperatures at different stages of flight as requested by the IMD. They will capture and share observations at cruising altitude midway through the journey, at cruising altitude just before starting the descent, near FL100, near FL050 and position in coordinates within two hours of observations to support forecasts.