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Publication - Dr Nicholas Howden

    DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology


    Coxon, G, Freer, J, Lane, R, Dunne, T, Howden, N, Quinn, N, Woods, R & Wagener, T, 2018, ‘DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology’. Geoscientific Model Development Discussions.


    This paper presents DECIPHeR (Dynamic fluxEs and ConnectIvity for Predictions of HydRology); a new flexible model framework that simulates and predicts
    hydrologic flows from spatial scales of small headwater catchments to entire continents.
    DECIPHeR can be adapted to specific hydrologic settings and available data and modified to represent different levels of heterogeneity, connectivity and hydrological processes as needed. It has an automated build function that allows rapid set-up across required model domains and is open source to help researchers and/or practitioners use the model. DECIPHeR is applied across Great Britain to demonstrate the model framework and evaluated against daily flow time series from 1,366 gauges for four evaluation metrics to provide a benchmark of model performance. Results show the model performs well across a range of catchment characteristics but particularly in wetter catchments in the West and North of Great Britain. Future model developments will focus on adding modules to DECIPHeR to improve the representation of groundwater dynamics and human influences.

    Full details in the University publications repository