I’m recruiting a Senior Researcher in Flood Prediction with interests in statistics, machine learning, hydrology and climate to start in October 2021 for 2 years!
Apply by 29 July
Please reach out if any questions. Skills in statistics/RStats/Python desired.
*Update: due to exceptional personal circumstances, I have had to withdraw my participation as a speaker at the AGU this year*
A few of our talks at AGU 2020:
Two new papers in the last month:
Courty, L., Wilby, R., Hillier, J., Slater, L.J. (2019) Intensity-Duration-Frequency curves at the global scale, Environmental Research Letters, doi:10.1088/1748-9326/ab370a
Khouakhi, A., Villarini, G., Zhang, W., Slater, L.J. (2019) Seasonal predictability of high sea level frequency from Nino3.4 along the U.S. West coast, Advances in Water Resources. doi: 10.1016/j.advwatres.2019.07.007
Our paper – Neri, A., Villarini, G., Slater, L.J., Napolitano, F. (2019) On the statistical attribution of the frequency of flood events across the U.S. Midwest – has just been published in Advances in Water Resources
Our paper –
Neri, A., Villarini, G., Salvi, K.A., Slater, L.J., and Napolitano, F. On the decadal predictability of the frequency of flood events across the U.S. Midwest
– has been accepted for publication in the International Journal of Climatology.
On October 12th, I will be giving a talk at Maynooth university on ‘Disentangling streamflow drivers and forecasting water hazards using Earth Observation’ (details here).
Our paper has just been accepted in Journal of Climate (American Meteorological Society)!
Zhang, W., Villarini, G., Slater, L., Vecchi, G.A., Bradley, A.A. (2017), Improved ENSO Forecasting using Bayesian Updating and the North American Multi Model Ensemble (NMME), Journal of Climate