Hello and welcome!

Our research group investigates changes in climatic and water-related extremes (especially floods, heat waves, precipitation, drought, and other extremes), fluvial systems (fluvial geomorphology) and water resources.

We develop computational approaches (data-driven, Earth observation, and ensemble-based methods) to understand how changes in climate, land cover and society affect climatic and water-related extremes over daily to multidecadal timescales. 

On these webpages you will find updates on our current research (below), publications, outreach activities, talks/conferences, and some information about the group members and about me. If you are interested in undertaking doctoral or post-doctoral research in any of the above areas, please do check guidance here and get in touch!

New paper: UNSEEN trends

Timo Kelder’s new paper, which develops a new approach for detection of UNSEEN trends in environmental extremes, has just been accepted on 12 Oct. Details to follow soon…

Kelder, T., Müller, M., Slater, L., Marjoribanks, T, Wilby, R., Prudhomme, C., Bohlinger, P., Ferranti, L., Nipen, T.
UNSEEN trends: Detecting decadal changes in 100-year precipitation extremes. npj Climate and Atmospheric Science

AGU 2020

A few of our talks at AGU 2020:

Geoscience Data Journal

I have just joined the editorial team of Geoscience Data Journal (Royal Meteorological Society) as an Associate Editor.

Aims & Scope: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered.

An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIsThe journal will also accept articles on data services, and articles which support and inform data publishing best practices.

Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.

Content description: A data article describes a dataset, giving details of its collection, processing, file formats etc., but does not go into detail of any scientific analysis of the dataset or draw conclusions from that data. The data paper should allow the reader to understand the when, why and how the data was collected, and what the data is.

Subject coverage: GDJ will accept contributions a broad range of geoscience disciplines, including, but not limited to: Weather and Climate; Oceanography; Atmospheric and Ocean Chemistry; Cryosphere; Biosphere, Land Surface and Geology, Hydrology, Geochemistry, Geophysics, Planetary and Space Sciences.

EGU 2020

A brief overview of our talks and sessions at EGU 2020:

  • Session: Hydrological extremes: from droughts to floods (HS2.4.1)
    Convener: Louise Slater
    Co-conveners: Anne Van Loon, Gregor Laaha, Ilaria Prodoscimi, Lena M. Tallaksen
    Orals: Thu, 07 May, 08:30-12:30, room C
    Posters: Thu, 07 May, 14:00-15:45 
  • Session: Using R in Hydrology (SC1.12)
    Convener: Katie Smith
    Co-conveners: Lucy Barker, Ilaria Prosdocimi, Louise Slater, Guillaume Thirel
    Wed, 06 May, 08:30-10:15, room -2.16
  • Talk: Timo Kelder, M. Müller, L. Slater, R. Wilby, P. Bohlinger, T. Marjoribanks, C. Prudhomme, A. Dyrdall, T. Nipen, L. Ferranti.
    UNSEEN trends: Towards detection of changes in 100-year precipitation events over the last 35 years.
    Thurs, 07 May, 08:45, Room 0.14
  • Poster: Marcus Buechel, S. Dadson, L.Slater.
    Achieving Net Zero: Understanding the Potential Hydrological Impacts of Changing Climate and Land Cover in the UK
    Fri, 08 May, 14:00-15:45, poster Hall A, board A112
  • Poster: Matthew Farnham et al.
    Correlated surface water flood damages in three Indonesian cities 
    Thurs 07 May, poster Hall X4, board X4.84, 16:15-18:00.

AGU 2019

A brief overview of talks and sessions in the upcoming AGU Fall meeting:

New papers in ERL and AWR on extremes (precipitation and high sea level)

Two new papers in the last month:

Courty, L., Wilby, R., Hillier, J., Slater, L.J. (2019) Intensity-Duration-Frequency curves at the global scaleEnvironmental 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



Oxford water network Chair

I’m delighted to announce that I have just taken on the role of Chair for the Oxford Water Network (OWN), which includes 150 academics across the university. The role involves setting the agenda for water research across the University, heading the OWN leadership team, overseeing our events (seminars, conferences, and other activities), and growing the network (partners, members, and beyond). OWN is also one of Oxford’s Networks for the Environment (ONE). Please do reach out if you are interested!

EGU 2019

At the EGU General Assembly in Vienna this year, I will be:

  • Co-convening the oral sessionHydrological extremes: from droughts to floods’ (OralsPosters; HS2.4.1) on Monday 8th April, Orals 8:30-15:45, room B; Posters 16:15–18:00, hall A (unfortunately the poster session overlaps with the short course below)
  • Co-convening the short course ‘Using R in Hydrology‘ on Monday 8th, 16:15-18:00, room -2.16 (basement!). Also presenting a talk on ‘Parallel and HPC computing for hydrologists’.
  • Co-author on ‘Intensity-Duration-Frequency curves at the global scale‘ (Courty et al., EGU2019-2122), on Tuesday 9th, 10:50 am, PICO spot 5b (10:30-12:30) in session HS7.7, Hydroclimatic and hydrometeorologic stochastics.
  • Presenting our recent paper ‘Using R in Hydrology‘ (Slater et al., EGU2019-2823), on Friday 12th, 8:46 am. PICO spot 5b (8:30-10:15) in session HS1.2.7, Innovative methods to facilitate open science and data analysis in hydrology.

Other planned talks for 2019 are listed here.

AGU 2018

I’m excited to present two papers at the AGU Fall meeting in Washington D.C. in December this year –

  • One hydrology paper: Slater, L.J., Anderson B., Blum, A., Archfield S., Attribution of changes in hydrologic extremes to changing land cover, AGU USA →  session H51L: The Role of Data in Understanding and Attributing Changes in Hydrologic Extremes (Friday 14 December, 08:00 – 10:00; H51L-1446)
  • One geomorphology paper: Slater, L.J., Khouakhi, A., Climate modes of variability and fluvial response over interannual to multidecadal timescales → session EP52B: Signatures of Climate Change in Surface Processes I (Friday 14 December, 11:20am,  147A; EP52B-05)

And our exciting session on ‘Flooding and Geomorphology‘:

  • Advances in Incorporating Geomorphology and Flooding: Feedbacks and Impacts on Flood Risk Posters (Monday 10 December, 08:00 – 12:20, Poster Hall A-C; EP11E).

New paper in HESS: Science in today’s media landscape

Pleased to report that our paper,

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., Science in today’s media landscape – challenges and lessons from hydrologists and journalists.

has just been accepted in Hydrology and Earth System Sciences and can be downloaded here: https://www.hydrol-earth-syst-sci-discuss.net/hess-2018-13/ 

New paper in GRL: statistical-dynamical forecasting of seasonal streamflow

Pleased to say that our paper has just been accepted in Geophysical Research Letters.

Slater, L.J., Villarini, G. (2018Enhancing the predictability of seasonal streamflow with a statistical dynamical approach. doi:10.1029/2018GL077945

Key words: Seasonal forecasting, Streamflow, NMME, Precipitation, Temperature, Land cover.