Monthly Archives: June 2017

Soil Moisture retrieval from satellite SAR imagery

By Keith Morrison Soil moisture retrieval from satellite synthetic aperture radar (SAR) imagery uses the knowledge that the signal reflected from a soil is related to its dielectric properties. For a given soil type, variations in dielectric are controlled solely … Continue reading

Posted in Climate, earth observation, Hydrology, land use, Measurements and instrumentation, Numerical modelling, Remote sensing | Tagged | Leave a comment

Can observations of the ocean help predict the weather?

By Amos Lawless It has long been recognized that there are strong interactions between the atmosphere and the ocean. For example, the sea surface temperature affects what happens in the lower boundary of the atmosphere, while heat, momentum and moisture … Continue reading

Posted in Boundary layer, data assimilation, Numerical modelling, Oceans, Weather forecasting | Leave a comment

It melts from the top too …

By David Ferreira The global sea level rises at about 3 mm/year. Oceans absorb nearly 90% of the heat trapped in the atmosphere by anthropogenic gases like carbon dioxide. As water warms, it expands: this effect explains about half of … Continue reading

Posted in antarctica, Climate, Cryosphere, Oceans, Polar | Tagged | Leave a comment