In this page you will find a description of the current project I am working on, and in the lower sections, some words on each of the publications I am main author.
Why work on prec? Understanding how precipitation develops in cumulus clouds is crucial for better understanding climate change.
yes ok, but WHY?!?! because precipitation is responsible of moistening the atmospheric layer where we live, called planetary boundary layer (PBL) and can totally change how warm bubbles of air grow from the surface to form clouds. But this is not all! people showed with high resolution models that precipitation influences how clouds organize spatially and live. However, we still do not really know how to describe in the models the formation of precipitation; different ideas of how drops grow to the size of raindrop are proposed, but none of them was really matching what we observe.
I worked in this project as post-doc. I checked the "performances" of the new high resolution model called ICON-LES. ICON-LES is a new model, able to produce high-resolution simulations with a horizontal resolution of up to 156m, which is incredibly high and it is also very expensive to run....
but coming back to my work, I was checking how good the model was in reproducing the clouds forming at the top of the atmospheric boundary layer. I compared the clouds in the model with those in the observations, looking at the dynamics, the thermodynamics and all the cloud properties, on a lot of different days. So, you may ask, what did I found? results are being collected in a paper that we will soon submit.. stay tuned!
What else? naturally we asked ourselves if all that was worth, and if those costly simulations were actually providing an added value compared to the more standard ones. To answer this, HD(CP)² a project-wide publication that compares the different resolutions with observational data in the various simulated scenarios was created, and me with Harald Rybka, were coordinating the cloud section.
But this is not all! Before working with ICON-LES, I loved to work with cloud radars and I developed a technique to find out in which part of the cloud drizzle is forming. The technique is based on exploiting some special observations from cloud radars. I looked in particular at a variable called skewness. This variables helps a lot when we want to find where drizzle in located inside a cloud, and can track its growth. This refinement of drizzle identification with respect to CLOUDNET using the skewness variable was published here.
As always when you finish something, you always remember it as a great time. Indeed, that's what my Phd was for me. I did it within an European Marie Curie initiative called ItaRS, that stands for Initial training for Atmospheric remote sensing. It changed me and it changed my life.
Ok, but what about science? The topic of my thesis was "The detection of the autoconversion process in clouds using ground-based active and passive microwave sensors". It was a work in between modeling and observations in theory, that turned out to be much more focused on setting up the observations in the best way to be able to properly observe drizzle and then evaluate models. I worked mainly with data collected at the JOYCE-CF supersite, where I was responsible of a microwave radiometer. I collected all the indications on how to properly set 35Ghz cloud radars to optimally detect drizzle in the cloud in this paper.
By the way, the cloud radar page linked above on Wikipedia, exists thanks to the Itars project :) we wrote that, and it was fun!
Some analysis of precipitation over the JOYCE-CF that I did was also included in this BAMS paper presenting our station.