Publications

Under review:

  • Neri, A., Villarini, G., Slater, L.J., Napolitano, F. On the statistical attribution of changes in the frequency of flood events across the U.S. Midwest.
  • Khouakhi, A., Villarini, G., Slater, L.J., Zhang, W. Seasonal predictability of high sea levels using the October-March Niño3.4 index at Toke Point, Washington.
  • Hillier, J. et al. Demystifying academics to enhance university-business collaborations in environmental science.
  • 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.

Published:

  1. Slater, L.J., Villarini, G. (2018) Enhancing the predictability of seasonal streamflow with a statistical dynamical approach. Geophysical Research Letters. doi:10.1029/2018GL077945
  2. Lutz, S., Popp, A., van Emmerik, T., Gleeson, T., Kalaugher, L., Möbius, K., Mudde, T., Walton, B., Hut, R., Savenije, H., Slater, L.J.,  Solcerova, A., Stoof, C., and Zink, M. (2018) Science in today’s media landscape – challenges and lessons from hydrologists and journalists. Hydrology and Earth System Sciences
  3. Villarini, G., Slater, L.J. (2018) Examination of Changes in Annual Maximum Gage Height in the Continental United States Using Quantile Regression, Journal of Hydrologic Engineering (ASCE), ISSN: 1943-5584, doi:10.1061/(ASCE)HE.1943-5584.0001620
  4. Slater, L.J., Villarini, G. (2017) Evaluating the drivers of seasonal streamflow rates in the U.S. Midwest, Water (MDPI). 9, 695; doi:10.3390/w9090695
    Open Access. PDF.
  5. Slater, L.J., Wilby, R.L. (2017) Measuring the changing pulse of rivers (Perspective article), Science, 357(6351), pp. 552, doi:10.1126/science.aao2441. Reprint.
  6. Zhang, W., Villarini, G., Slater, L.J., Vecchi, G., Bradley, A.A. (2017) Improved ENSO Forecasting using Bayesian Updating and the North American Multi Model Ensemble (NMME), Journal of Climate, ISSN: 1520-0442. doi: 10.1175/JCLI-D-17-0073.1.
  7. Slater, L.J., Villarini, G., Bradley, A.A. (2017) Weighting of NMME temperature and precipitation forecasts across Europe, Journal of Hydrology, doi:10.1016/j.jhydrol.2017.07.029
  8. Slater, L.J., Villarini, G., Bradley, A., Vecchi G. (2017) A dynamical statistical framework for seasonal streamflow forecasting in an agricultural watershed,  Climate Dynamics. doi:10.1007/s00382-017-3794-7
  9. Clubb, F.J., Mudd, S.M., Milodowski, D.T, Valters, D.A, Slater, L.J., Hurst, M.D., and Limaye, A.B.S. (2017) Geomorphometric delineation of floodplains and terraces from slope and channel relief thresholds, Earth Surface Dynamics, 5(3), pp.369-385. doi:10.5194/esurf-2017-21.
  10. Villarini, G., Slater, L.J. (2017) Climatology of flooding in the United States, Oxford Research Encyclopedia of Natural Hazard Science. doi:10.1093/acrefore/9780199389407.013.123 
  11. Wilby, R.L., Clifford, N.J., De Luca, P., Harrigan, S., Hillier, J.K., Hodgkins, R., Johnson, M.F., Matthews, T.K.R., Murphy, C., Noone, S.J., Parry, S., Prudhomme, C., Rice, S.P., Slater, L.J., Smith, K.A., Wood, P.J. (2017) The “dirty dozen” of freshwater science: Detecting then reconciling hydrological data biases and errors, Wiley Interdisciplinary Reviews (WIREs) Water. doi:10.1002/wat2.1209
  12. Slater, L.J., Villarini, G. (2016) On the impact of gaps on trend detection in extreme streamflow time series, International Journal of Climatology. ISSN: 1097-0088. doi: 10.1002/joc.4954.
  13. Slater, L.J., Villarini, G. (2016) Recent trends in U.S. flood risk, Geophysical Research Letters, 2016. 43(24), pp.12,428-12,436, ISSN: 0094-8276. doi: 10.1002/2016GL071199. Featured Research Spotlight in Eos.
  14. Slater, L.J., Villarini, G., Bradley, A. (2016) Evaluation of the skill of North-American Multi-Model Ensemble (NMME) Global Climate Models in predicting average and extreme precipitation and temperature over the continental USA. Climate Dynamics, special collection on the North American Multi-Model Ensemble (NMME) seasonal prediction experiment. doi: 10.1007/s00382-016-3286-1
  15. Slater L.J. (2016) To what extent have changes in channel capacity contributed to flood hazard trends in England and Wales? Earth Surface Processes and Landforms, 41(8), pp.1115-1128, ISSN: 0197-9337. Special Issue Stormy Geomorphology, doi: 10.1002/esp.3927
  16. Slater, L.J. (2015) Changing Channels (Outreach article), Planet Earth. Html version. pp.22-23, ISSN: 1479-2605.
  17. Slater, L.J., Singer, M.B., Kirchner J.W. (2015) Hydrologic versus geomorphic drivers of trends in flood hazard, Geophysical Research Letters, 42(2), pp.370-376, ISSN: 0094-8276. doi: 10.1002/2014GL062482. PDF. html. Supplementary material. Media attention: AGUniverse Publication Highlight.
  18. Clubb, F.J., Mudd S.M., Milodowski D.T., Hurst M.D., Slater L.J. (2014) Objective extraction of channel heads from high resolution topographic data, Water Resources Research. 50(5), pp.4283-4304.  doi: 10.1002/2013WR015167.
  19. Slater, L. J. and Singer, M.B. (2013) Imprint of climate and climate change in alluvial riverbeds: Continental United States, 1950-2011, Geology, 41(5), pp.595-598, ISSN: 0091-7613. doi:10.1130/G34070.1 PDF; html; Supplementary material. Prize for the best student-led peer-reviewed journal article for 2013.  University of St Andrews Press Release
  20. Piégay, H., Alber, A., Slater, L.J., and Bourdin, L. (2009) Census and typology of braided rivers in the French Alps, Aquatic Sciences, 71(3), 371–388, ISSN: 1015-1621. doi:10.1007/s00027-009-9220-4.

THESES

  • Slater, L.J. (2015) Trends in alluvial channel geometry and streamflow: an investigation of patterns and controls, Ph.D thesis, University of St Andrews
  • Slater, L.J. (2007) Caractérisation des rivières en tresses françaises, Master’s thesis, University of Lyon / ENS-lyon >> See Census and typology of braided rivers in the French Alps

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Note: “Author accepted copies” of these publications can be accessed from my Oxford University repository