Great to host some colleagues from @EPSRC at Leeds today to talk all things fluid dynamics, well done to two of our @CDTFluidsLeeds students Coker and Kasia on their excellent presentations on their PhDs, fascinating to see data driven methods applied to different fluids areas
Early Career Researcher Spotlight this month is the newly appointed LIFD Student Representative... Kasia Nowakowska @KasiaCDTFluids
Read the full article here: https://t.co/ec2hdSEYFC
So far, I've worked on understanding what drives initiation, focusing on gravity waves and energy in
the system (CAPE, CIN &KE). The next step? Using machine learning! Utilising reservoir computing
to forward propagate features and predict cell initiation & movement#CDTTweCon
My research asks; can we use a simplified model to better understand how storms initiate & learn
more about the short-term prediction of storms? I use Dedalus to run simulations of a moist Rayleigh-Benard model (Rainy-Benard), producing cells which initiate and decay#CDTTweCon
Ever wondered how meteorologists predict sudden storms? Short-term precipitation forecasting is
vital for fast-changing, intense weather. Current methods track storms well but struggle with
predicting new cell formation. #CDTTweCon
Exciting being on the ground with the radar team today communicating any high reflectivity levels with the aircraft. I even managed to get a photo of the aircraft passing the north end of the Magdalenas on a low level kite.
@CloudSenseNERC#dcmex