Researchers from The University of Tokyo Institute of Industrial Science have revealed that a newly developed forecasting system can accurately predict flood locations 32 hours in advance. Extreme rainfall events are occurring increasingly frequently; such accurate and timely flood warnings will help to minimize their impact by providing time for measures to protect people and property.
Forest fires have crept higher up mountains over the past few decades, scorching areas previously too wet to burn, according to researchers from McGill University. As wildfires advance uphill, a staggering 11% of all Western US forests are now at risk.
The glaciers of Nanga Parbat - one of the highest mountains in the world - have been shrinking slightly but continually since the 1930s. This loss in surface area is evidenced by a long-term study of Heidelberg University. The geographers combined historical photographs, surveys, and topographical maps with current data, which allowed them to show glacial changes for this massif in the north-western Himalaya as far back as the mid-1800s.
A new study led by researchers from McGill University and INRAE found that between 51-60% of the 64 million kilometres of rivers and streams on Earth that they investigated stop flowing periodically, or run dry for part of the year. It is the first-ever empirically grounded effort to quantify the global distribution of non-perennial rivers and streams. The research, which was published today in Nature, calls for a paradigm shift in river science and management.
The influx of warmer water masses from the North Atlantic into the European marginal seas plays a significant role in the marked decrease in sea-ice growth, especially in winter.
To counter the effects of climate change on drylands, a new study suggests that global access to water should be managed in a more integrated way.
Climate reconstruction of the last 200,000 years from East Africa illustrates the living conditions of Homo sapiens when they migrated out of Africa / Homo sapiens was mobile across regions during wet phases and retreated to high altitudes during dry phases.
The types of land around us play an important role in how major storms will unfold -- flood waters may travel differently over rural versus urban areas, for example. However, it's challenging to get an accurate picture of land types using only satellite image data because it is so difficult to interpret. Researchers at the Cockrell School of Engineering have, for the first time, applied a machine learning algorithm to measure the surface roughness of different types of land with a high level of detail.
Some four months ago, a devastating flood ravaged the Chamoli district in the Indian Himalayas, killing over 200 people. The flood was caused by a massive landslide, which also involved a glacier. Researchers at the University of Zurich, the WSL and ETH Zurich have now analyzed the causes, scope and impact of the disaster as part of an international collaboration.
The Uttarakhand region of India experienced a humanitarian tragedy on Feb. 7, 2021, when a wall of debris and water barreled down the Ronti Gad, Rishiganga and Dhauliganga river valleys. This debris flow destroyed two hydropower facilities and left more than 200 people dead or missing. A self-organized coalition of 53 scientists, including researchers from the University of Washington, came together in the days following the disaster to investigate the cause, scope and impacts.