Abstract
This paper presents DECIPHeR (Dynamic fluxEs and ConnectIvity for Predictions of HydRology), a new 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 to different levels of data availability. It is a flexible model framework which includes the capability to (1) change its representation of spatial variability and hydrologic connectivity by implementing hydrological response units in any configuration and (2) test different hypotheses of catchment behaviour by altering the model equations and parameters in different parts of the landscape. It has an automated build function that allows rapid set-up across large 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. It is evaluated against daily flow time series from 1366 gauges for four evaluation metrics to provide a benchmark of model performance. Results show that 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..
Original language | English |
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Pages (from-to) | 2285-2306 |
Number of pages | 22 |
Journal | Geoscientific Model Development |
Volume | 12 |
Issue number | 6 |
DOIs | |
Publication status | Published - 14 Jun 2019 |
Fingerprint
Dive into the research topics of 'DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology'. Together they form a unique fingerprint.Datasets
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Dobson_et_al_SpatialDynamicsDroughtEngland
Coxon, G. (Creator) & Freer, J. (Contributor), University of Bristol, 21 Aug 2020
DOI: 10.5523/bris.2pkv9oxgfzvts235zrui7xz00g, http://data.bris.ac.uk/data/dataset/2pkv9oxgfzvts235zrui7xz00g
Dataset
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Byers_et_al_Drought_Electricity_DECIPHeRFlowSims
Coxon, G. (Creator) & Freer, J. (Contributor), University of Bristol, 5 Oct 2019
DOI: 10.5523/bris.1ojfuekso3i422qmp2s8jb02p4, http://data.bris.ac.uk/data/dataset/1ojfuekso3i422qmp2s8jb02p4
Dataset
Equipment
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HPC (High Performance Computing) Facility
Sadaf R Alam (Manager), Steven A Chapman (Manager), Polly E Eccleston (Other), Simon H Atack (Other) & D A G Williams (Manager)
Facility/equipment: Facility
Profiles
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Dr Gemma Coxon
- School of Geographical Sciences - Senior Lecturer
- Cabot Institute for the Environment
Person: Academic , Member