I wanted to mention one thing about a recent paper which used the ICON general circulation model to simulate states of radiative convective equilibrium over ocean. The authors ran the model on 5 different domains of varying total area. The largest simulation was 256 times larger than the smallest. That’s an impressive range! The authors convincingly show that the domain size affects many aspects of the simulated atmosphere, but the one I want to mention is the physical morphology of the aggregated, high moisture regions (their figure 6). The larger the domain size, the more structure there is in the moisture field. I’ve done a lot of work recently on the links between total moisture and cloud behavior, and I can say that all that variation in the moisture field is critical for clouds. We convective theorists have based a lot of recent thinking about the interaction of convection with it’s environment on the results of RCE simulations, but very few people have thought about the sensitivity of these ideas and theories to basic simulation properties (like domain size or shape) on the kinds of scales these authors do. I agree with the authors that their results suggest a few new avenues of inquiry that could be rather revealing.
Month: September 2016
OK, here goes a first post. I thought I would start off by talking a little bit about a recent paper on which I was a coauthor. The paper can be found here: Ubiquity and impact of thin mid-level clouds in the tropics. In this paper as part of his graduate work at Stockholm University, lead author Quentin Bourgeois used the CALIPSO lidar to look for a predominantly overlooked cloud type in the tropical convective atmosphere: optically and physically thin clouds above the freezing level but below the peak outflow layer from deep convection. Quentin found that clouds meeting these criteria were surprisingly common in the tropics both over ocean and over land. I think there are two main takeaways here. The first is that the cloud population in the tropics is much more complex than we often give it credit for. Because these thin clouds do not rain, they don’t show up on radar, and because of their ethereal nature, they are difficult to simulate. This has made them easy to overlook. The second is that simple methodologies, like the one employed in this paper, can be incredibly powerful. We learned a lot about these clouds without obscuring what we were examining.
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