On rainfall by hurricanes and its sensitivity to influence factors, we had a paper out last year: iopscience.iop.org/article/10.1...

The relationship between sea surface temperature anomalies, wind and translation speed and North Atlantic tropical cyclone rainfall over ocean and land - IOPscienceSearch

The relationship between sea surface temperature anomalies, wind and translation speed and North Atlantic tropical cyclone rainfall over ocean and land, Samantha Hallam, Gerard D McCarthy, Xiangbo Feng, Simon A Josey, Elizabeth Harris, André Düsterhus, Stephen Ogungbenro, Joël J-M Hirschi

Tp be honest, most are other peoples papers, as due to my research I usually make other peoples work possible rather doing the fancy highly citable stuff for myself. 😉

Uh, a round number. But honestly, as it is gs, many of them do anyway not count (but anyway thanks) and there are reasons why we repeat again and again that citations are not as important as some try to make them. Anyway, we all love a round number, don't we. 🎉

After all these years it is great to be back. Hello Liverpool!

On the one side the US had a lot of recent international influx in their team (partly due to their own league, MLC) and on the other side is Pakistan currently in a deep crisis. Still it was a good performance pushing them over the line.

The research was done together with Sebastian at Uni Hamburg supported by the project Coming decade funded by BMBF. Myself funded for this by #nckf at DMI and A4 project funded by Marine Institute 7/7

This study demonstrate that predictions of distributions are possible, but require creative approaches for the verification. It opens a new dimension and increases the temporal resolution to look at these predictions, 6/7

Main physical result: different seasons show different skills. Especially with involved ice processes the skill between hindcasts and historicals vary considerately. We use a quite normal distributed variable, so the results are in most cases close to a correlation analysis. 5/7

But as we cannot evaluate them by a single value like correlation, we do it by counting how often over a given time span one simulation wins against another. It is a different form of looking at verification and a hopefully much more accessible for communication purposes. 4/7

In this study we propose a strategy to evaluate full distributions relatively against each other. For this we employ the IQD to compare hindcasts, historicals and climatology vs. a reference (assimilation simulation). 3/7