Early warning

A new study, led by Professor Mike Kendall from the Department of Earth Sciences, has investigated the use of a new monitoring technique for early warning of a volcanic eruption.

The CM4EW reports on climate hazards, such as drought, flood, and extreme weather, as well as pests and crop diseases, as part of its monitoring of countries at risk of famine and to provide early warnings of impending crop shortfalls.

The China Meteorological Administration and the Cyberspace Administration of China promulgated a joint departmental regulation, namely, Measures for Artificial Intelligence (AI) Meteorological Application Services.

Weather forecasts powered by artificial intelligence are usually more accurate - and require less computational energy and fewer human hours - than conventional predictions.

Using data from a technology called distributed acoustic sensing (DAS), researchers developed a method to provide warnings up to 30 minutes in advance of lava eruptions. The method offers a way to volcanic activity and provide early warnings.

To improve readiness for extreme weather, detailed information about all the factors that cause flooding, such as storm surges, rainfall and waves, is essential. New research offers a way to understand how these factors interact in complex ways.

Researchers are exploring new technologies for short-term earthquake forecasting and prediction, including the application of the LAIC approach to the 2015 Gorkha earthquakes in Nepal.

Swell waves are created by distant weather systems, such as storms far away, and travel long distances. They may still be present even if the local wind is calm. This makes the predicting of swells and waves a complex science.