Slater L., Anderson A., Buechel M., Dadson S., Han S., Harrigan S., Kelder T., Kowal K., Lees T., Matthews T., Murphy C., Wilby R.L.
Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management. Hydrology and Earth System Sciences Discussion, https://doi.org/10.5194/hess-2020-576, in review, 2020
here for an up-to-date list of papers published and under review
Timo Kelder’s new paper, which develops a new approach for detection of
UNSEEN trends in environmental extremes, has been published:
Kelder, T., Müller, M.,
Slater, L., Marjoribanks, T, Wilby, R., Prudhomme, C., Bohlinger, P., Ferranti, L., Nipen, T. (2020), Using UNSEEN trends to detect decadal changes in 100-year precipitation extremes, npj Climate and Atmospheric Science
A brief overview of talks and sessions in the upcoming AGU Fall meeting:
Our manuscript has just been published:
Slater, L.J., Khouakhi, A., Wilby, R., River channel conveyance capacity adjusts to modes of climate variability ( 2019), , 9:12619, https://doi.org/10.1038/s41598-019-48782-1 Scientific Reports
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
Pleased to say that our paper has just been accepted in
Geophysical Research Letters.
Slater, L.J., Villarini, G. ( 2018) Enhancing the predictability of seasonal streamflow with a statistical dynamical approach. doi:10.1029/2018GL077945
Key words: Seasonal forecasting, Streamflow, NMME, Precipitation, Temperature, Land cover.