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.
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 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 employ computational, large-sample 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!
On Fri. 18 December 2015, 13:40 – 18:00, I will present a “Diagnosis of North American Multi-Model Ensemble (NMME) skill for predicting floods and droughts over the continental USA” at the American Geophysical Union Fall meeting (session H53A).
The poster can be downloaded from ResearchGate here
The Environment Agency has just launched a blog (https://eadag.wordpress.com/) for the data advisory group (EADAG). The blog is still in its infancy, but will most likely be used to host:
- Regular information regarding recently released and upcoming datasets
- A starting point for “finding and using EA data”
- Information provided by EA to support the group, including the datasets list, revenue and income (if and when these are available)
- EA open data presentations
- Contact details for the group
I help maintain the blog, so do get in touch if you have any suggestions.
On Tuesday 18th November, I attended the inaugural meeting of the EA’s Data Advisory Group. Surprisingly, many members of the group (including myself) were interested in hydrometric data for flood hazard assessment. The EA explained that they are committed to publishing as much of their data as possible, and making it open access to the public under the Open Government Licence (OGL). So far, 101 of their 17,000 datasets have been published. The difficulty is prioritising what data should be released first, given the difficulties associated with preparing the data for release. Comments and suggestions for the EADAG can be shared via the EA’s website, twitter feed (@dataenvagency), or email (firstname.lastname@example.org).