What can Artificial Intelligence offer hydrologic research? Could deep learning one day become part of hydrology itself?Read More »Atmospheric Sciences
Improving the representation of surface emissivity in the Community Earth System Model reduces its Arctic winter cold bias from 7 to 1 Kelvin degree.Read More »Geochemistry, Mineralogy, Volcanology
Readings from a sensor for the radioactive gas near summit craters of the Italian volcano reveal signatures of such processes as seismic rock fracturing and sloshing of groundwater and other fluids.Read More »
An innovative technique provides micro-scale resolution on the three-dimensional evolution of damage within crystalline rocks that leads to fault nucleation.Read More »Climate Change
Scientists propose development of new models that use machine learning techniques to reduce uncertainties in climate predictions.Read More »Ocean Sciences
Polynomial chaos and Bayesian compressive sensing are applied to a land surface model to understand how large numbers of tunable parameters interact and may be optimized.Read More »Climate Change
Model simulations of many climate phenomena remain highly uncertain despite scientific advances and huge amounts of data. Scientists must do more to tackle model uncertainty head-on.Read More »
