Resources
D-Risk resources provide the detailed information to help you to set-up, use and interpret D-Risk through a series of tutorial videos and a training manual. Click on each material to access the training.
Videos
Walk-through of D-Risk webtool
Understanding the D-Risk outputs
Representing responses in D-Risk
User guidance and training manual
The D-Risk training manual takes users through a structured set of worked examples of hypothetical farms and scenarios.
Publications
Almost all components of D-Risk have been published in peer-reviewed scientific journals:
Weather data
- Guillod, B. P.; Jones, R. G.; Bowery, A.; Haustein, K.; Massey, N. R.; Mitchell, D. M.; et al. Weather@home 2: Validation of an improved global‐regional climate modelling system. Geosci. Model Dev. 2017, 10(5), 1849–1872. https://doi.org/10.5194/gmd-10-1849-2017 [Open access]
- Guillod, B. P.; Jones, R. G.; Dadson, S. J.; Coxon, G.; Bussi, G.; Freer, J.; et al. A large set of potential past, present and future hydro‐meteorological time series for the UK. Hydrol. Earth Syst. Sci. 2018, 22, 1–39. https://doi.org/10.5194/hess-22-611-2018 [Open access]
Hydrological model
- Coxon, G.; Freer, J.; Lane, R.; Dunne, T.; Knoben, W. J. M.; Howden, N. J. K.; Woods, R. DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology. Geosci. Model Dev. 2019, 12(6), 2285–2306. https://doi.org/10.5194/gmd-12-2285-2019 [Open access]
Irrigation need algorithms
- Knox, J.W.; Weatherhead, E.K.; Bradley, R.I. Mapping the total volumetric irrigation water requirements in England and Wales. Agric. Water Manage. 1997, 33, 1–19. https://doi.org/10.1016/S0378-3774(96)01285-1
- Rees, B.; Cessford, F.; Connelly, R.; Cowan, J.; Bowell, R.; Weatherhead, E.K.; Knox, J.W.; Twite, C.L.; Morris, J. Optimum Use of Water for Industry and Agriculture: Phase 3 – Best Practice Manual. Environment Agency, Bristol, 2003. Available from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/290549/sw6-056-tr2-e-e.pdf
D-Risk water balance algorithms
Abstraction restriction algorithms
- Salmoral G, Rey D, Rudd A, de Margon P, Holman IP (2019). A probabilistic risk assessment of the national economic impacts of regulatory drought management on irrigated agriculture. Earth’s Future 7(2): 178-196 https://doi.org/10.1029/2018EF001092 [Open access]
- Rio M, Rey D, Prudhomme C, Holman IP (2018). Evaluation of changing surface water abstraction reliability for supplemental irrigation under climate change. Agric Water Manage. 206: 200-208. https://doi.org/10.1016/j.agwat.2018.05.005
D-Risk application
- Chengot R, Knox JW, Holman IP (2021). Evaluating the Feasibility of Water Sharing as a Drought Risk Management Tool for Irrigated Agriculture. Sustainability, 13, 1456. https://doi.org/10.3390/su13031456 [Open access]