Maths Foresees

EPSRC LWEC Network



Previous Activities

Final General Assembly

University House, University of Leeds, 8th-10th January 2018

Thank you to everyone who participated in the final network meeting. Presentations will be uploaded to the event webpage shortly. Please contact Tiffany with any expenses queries.


2017 Environmental Modelling in Industry Study Group 

Isaac Newton Institute, Cambridge, 3rd-6th April 2017

The second Maths Foresees study group took place in April 2017, hosted by the Turing Gateway to Mathematics at the Isaac Newton Institute, Cambridge. Over the course of four days, mathematical and environmental scientists explored real challenges posed by companies operating in the environmental sector. Further details of the challenges and an event report can be found on the event webpage.

Solutions reports:
1) JBA Trust: A risk-based analysis of small scale, distributed, “nature-based” flood risk management measures deployed on river networks.
2) Environment Agency: Estimating flood probability bands using flood event data.
3) Environment Agency: Understanding the effects of spatial rainfall patterns on flood events.
4) SWECO: Hydraulic modelling of collection networks
5) Environment Agency: Making Decisions Using Probabilistic Flood Forecasts.


2016 General Assembly

St Leonard's Hall, Edinburgh, 5th-7th September 2016

Our second general assembly featured three days of stimulating talks and mini-workshops. See the event webpage for details, including uploaded presentations.


Environmental Modelling in Industry Study Group

Held at the Isaac Newton Institute, Cambridge, 21st-24th September 2015 in collaboration with the PURE network

  • Over the course of four days, 40+ academics from the mathematical and environmental sciences explored the following industry challenges:

  • Challenge 1 (JBA Trust) Identification of Coherent Weather Features in Three Dimensions
    Develop a generic computer-based tool or algorithm to identify coherent three-dimensional structures (shape, orientation, test: African easterlies, atmospheric rivers).
  • Challenge 2 (Fugro GEOS) Statistical Framework for Utilisation of Modelled Data for Tropical Cyclones
    Explore the statistical validity of the current ensemble approach and identify a rigorous way of determining how many of the multiple model runs for an individual storm to include in the database when producing wind and wave design criteria (e.g. 100-year or 10,000-year return period values) for tropical cyclones in regions where such events occur relatively infrequently.
  • Challenges 3 & 4 (Met Office) Challenges on convection
    i. Validating convective-scale rainfall forecasts and estimating their uncertainty (i.e. chance of rain from sparsely-scattered showers using a limited-size forecast ensemble)
    ii. Convection-wave coupling
    iii. Adjustment of a column of convectively unstable moist air
  • Challenge 5 (Environment Agency) Dealing with spatial rainfall distribution in flood forecasts
    Identify an approach that combines some of the benefits of a more detailed flood forecasting approach with only a minimal increase in modelling effort.

  • See the event webpage for a non-technical report, challenge announcements and recorded presentations of the challenge solutions.


    2015 General Assembly and Network Launch

    Held at the University of Leeds, 18th-20th May 2015 

    The first Maths Foresees general assembly featured presentations from network members and end-users of environmental research, including HR Wallingford, Fugro GEOS and Risk Management Solutions. The meeting closed with a stimulating talk from Professor Dano Roelvink (UNESCO-IHE, Delft). Two mini-workshops were held on the themes of deep convection, and rapid inundation modelling and uncertainty, which have since led to further collaborations. 

    See the event webpage for further details.



                                         

    © 2017 Tiffany Hicks & Onno Bokhove: Contact coordinates
    Template by Andreas Viklund. Panorama: JBA. Storm tracks: RMS. Spurn Point & London: Environment Agency. Rainfall: Met Office.