The study finds important regional consequences for precipitation and clouds formation if large changes in dimethyl-sulfide emissions were to occur. In a hypothetical case where all marine DMS emissions cease completely, we find the Earth would warm by approximately 0.5 degrees C over a ten-year period.
This research demonstrates how cloud processes, steep mountains, tropical coastlines, the daily changes in solar insolation and planetary-scale waves work together to cause large variations in the tropical heating that drives global circulation patterns. Many of these effects are under-represented in global climate models.
A new study by CLEX researchers using observations from FLUXNET sites identifies regions of high and low predictability and will likely help improve land surface model evaluation.
Short, extreme rainfall events will increase in a warming climate, according to observations and climate models. Australian observations suggest these storms become smaller in size, with increased rainfall concentrating even more around the centre of the storm cell. However, there has been recent contradictory climate model research that suggests storm areas may become larger. To understand this contradiction the researchers compared two different model types to real world observations of storm cell changes that occurred with rising temperatures. An area... View Article
Convective parameterizations are widely believed to be essential for realistic simulations of the atmosphere, but are crude in today's weather and climate models. CLEX researchers, report on what happens when a number of these models are run with these schemes simply turned off.
In contrast to expectations, tropical thunderstorms without cold pools actually intensify, demonstrating unequivocally that cold pools can be detrimental to convection. Further investigations suggest that organised systems become maintained through atmospheric wave-convection interactions, which is a significantly different process to the established theory.
This paper, A census of atmospheric variability from seconds to decades, synthesises and summarises atmospheric variability on time scales from seconds to decades through a phenomenological census. It focuses mainly on unforced variability in the troposphere, stratosphere, and mesosphere.
This paper combines existing global evapotranspiration estimates to create a new global product with an observationally constrained estimate of uncertainty. It utilises the latest release of ground-based estimates to show that even point-based evapotranspiration estimates have information about much larger spatial scales.