Timo Kelder’s new paper, which develops a new approach for detection of UNSEEN trends in environmental extremes, has just been accepted. Details to follow soon…
Kelder, T., Müller, M., Slater, L., Marjoribanks, T, Wilby, R., Prudhomme, C., Bohlinger, P., Ferranti, L., Nipen, T. (Accepted)
UNSEEN trends: Detecting decadal changes in 100-year precipitation extremes. Climate and Atmospheric Science
A few of our talks at AGU 2020:
- Invited talk: Slater et al., A global assessment of changes in 20-year, 50-year, and 100-year river flood return periods.
Session: “Advancing Flood Characterization, Modeling and Communication”.
Conveners: Keighobad Jafarzadegan, Paul D Bates, Marie-Amelie Boucher and Ebrahim Ahmadisharaf.
- Kelder et al, Strengths and limitations of using model simulations (UNSEEN) to assess and anticipate extremes beyond the observed record
- Parsons, Awais, & Slater, Predicting changes in river channel conveyance and geometry using a machine learning approach. Session: EP030, Prediction in geomorphology, 20 years later
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 DOIs. The 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.
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.
Our review paper, Piégay et al (2020), Remotely sensed rivers in the Anthropocene, has just been accepted in Earth Surface Processes and Landforms.
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), Scientific Reports, 9:12619, https://doi.org/10.1038/s41598-019-48782-1
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
Update: Our review paper, ‘Using R in hydrology: a review of recent developments and future directions‘, has been accepted, and excitingly is the most downloaded paper in HESS in the last 12 months! (https://www.hydrol-earth-syst-sci.net/most_downloaded_recent.html)
The PDF can be downloaded here: https://www.hydrol-earth-syst-sci.net/23/2939/2019/
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!
Our paper: Berghuijs, W., Harrigan, S., Molnar, P., Slater, L., Kirchner, J., The relative importance of different flood-generating mechanisms across Europe, has just been accepted in Water Resources Research (doi: 10.1029/2019WR024841)
Contact us via ResearchGate (here) for further details or if you would like a copy.
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
At the EGU General Assembly in Vienna this year, I will be:
- Co-convening the oral session ‘Hydrological extremes: from droughts to floods’ (Orals | Posters; 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.
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).
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.
Very nice mention of our short course in this month’s edition of Circulation (the British Hydrological Society’s magazine):
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/
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.
From 1 August 2018, I will be moving to the University of Oxford to take up a new position as Associate professor in physical geography in the School of Geography and the Environment (in association with Hertford College).
We’re delighted to announce that the ‘Using R in Hydrology’ workshop will be running again (for a second year) at EGU 2018!
The session is organised in cooperation with the Young Hydrologic Society (YHS) and materials will be made available on the YHS GitHub page (rhydro_EGU18).
Convener: Louise Slater
Co-Conveners: Shaun Harrigan, Claudia Vitolo, Tobias Gauster, Alexander Hurley, Guillaume Thirel.
- Introduction to the short course – Louise Slater
- Accessing hydrological data using web APIs (a demo of the rnrfa package) – Claudia Vitolo
- Extracting netCDF climate data for hydrological analyses (reading and visualising gridded data) – Louise Slater
- Processing, modelling and visualising hydrological data in R (tidyverse; piping, mapping and nesting) – Alexander Hurley
- Hydrological modelling and teaching modelling (airGR and airGRteaching) – Guillaume Thirel
- Typical hydrological tasks in R (List columns, Leaflet and coordinate transformation, Open Street Maps) – Tobias Gauster
The session is aimed at researchers who are interested in hearing more about R as well as those who are advanced R programmers wanting to discuss recent developments in an open environment.