Assessment of methods for extracting low-resolution river networks from high-resolution digital data

Davies, Helen; Bell, V. A.

doi:10.1623/hysj.54.1.17

Cited by 44 publications

(59 citation statements)

References 20 publications

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“…In topography it is applied to. Indeed, Davies and Bell (2009) found that it performed 20 reasonably accurately across the whole of mainland Britain. Generally the percentage 21 error in catchment area arising from the delineation of a catchment boundary using 22 1km-resolution flow-directions is less than 5%, although a few catchments have larger 23…”

Section: Flow 13 14mentioning

confidence: 98%

Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK

Bell

Kay

Jones

et al. 2009

Journal of Hydrology

122

109

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Article (refereed)BellThis version available http://nora.nerc.ac.uk/5877/ NERC has developed NORA to enable users to access research outputs wholly or partially funded by NERC. Copyright and other rights for material on this site are retained by the authors and/or other rights owners. Users should read the terms and conditions of use of this material at http://nora.nerc.ac.uk/policies.html#access This document is the author's final manuscript version of the journal article, incorporating any revisions agreed during the peer review process. Some differences between this and the publisher's version remain. You are advised to consult the publisher's version if you wish to cite from this article. www.elsevier.comContact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trade marks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner. 25Following the model assessment, the observed precipitation and PE data used as input to both 26 hydrological models were replaced by RCM estimates on a 25 km grid for a Current (1961Current ( to 1990 (2003) and Reynard et al. (2004). Generally, the 24 hydrological model is calibrated to catchment conditions, using model parameters to 25

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Section: Flow 13 14mentioning

confidence: 98%

Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK

Bell

Kay

Jones

et al. 2009

Journal of Hydrology

122

109

View full text Add to dashboard Cite

show abstract

“…This has been defined for a regular 1.5 km resolution grid across the UKC2 domain using the GMTED2010 digital terrain model and expert human intervention to ensure that the flows are routed correctly (e.g. Davies and Bell, 2009). For simplicity in initial testing, the river routing was considered on the same grid as the land surface model (i.e.…”

Section: Ukl2 River Routingmentioning

confidence: 99%

The UKC2 regional coupled environmental prediction system

et al. 2018

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Abstract. It is hypothesized that more accurate prediction and warning of natural hazards, such as of the impacts of severe weather mediated through various components of the environment, require a more integrated Earth System approach to forecasting. This hypothesis can be explored using regional coupled prediction systems, in which the known interactions and feedbacks between different physical and biogeochemical components of the environment across sky, sea and land can be simulated. Such systems are becoming increasingly common research tools. This paper describes the development of the UKC2 regional coupled research system, which has been delivered under the UK Environmental Prediction Prototype project. This provides the first implementation of an atmosphere-land-ocean-wave modelling system focussed on the United Kingdom and surrounding seas at km-scale resolution. The UKC2 coupled system incorporates models of the atmosphere (Met Office Unified Model), land surface with river routing (JULES), shelf-sea ocean (NEMO) and ocean waves (WAVEWATCH III). These components are coupled, via OASIS3-MCT libraries, at unprecedentedly high resolution across the UK within a north-western European regional domain. A research framework has been established to explore the representation of feedback processes in coupled and uncoupled modes, providing a new research tool for UK environmental science. This paper documents the technical design and implementation of UKC2, along with the associated evaluation framework. An analysis of new results comparing the output of the coupled UKC2 system with relevant forced control simulations for six contrasting case studies of 5-day duration is presented. Results demonstrate that performance can be achieved with the UKC2 system that is at least comparable to its component control simulations. For some cases, improvements in air temperature, sea surface temperature, wind speed, significant wave height and mean wave period highlight the potential benefits of coupling between environmental model components. Results also illustrate that the coupling itself is not sufficient to address all known model issues. Priorities for future development of the UK Environmental Prediction framework and component systems are discussed.

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“…Net outflow estimates (mm) for each grid-square in each region are converted to monthly-mean river flows (m 3 s −1 ) through lateral transfer of upstream flows from each catchment to the catchment outlet for every river grid-cell, using the 1 km flow directions identified for the kinematic wave routing implemented in the G2G Model (Davies and Bell, 2008;. WBM flows for every 1 km river location are scaled with respect to historical mean WBM flow and these standardized flows are averaged to provide a mean value for each of the 17 geographic regions (Fig.…”

Section: Water-balance Model For Flowsmentioning

confidence: 99%

A national-scale seasonal hydrological forecast system: development and evaluation over Britain

Bell

Davies

Kay

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Skilful winter seasonal predictions for the North Atlantic circulation and northern Europe have now been demonstrated and the potential for seasonal hydrological forecasting in the UK is now being explored. One of the techniques being used combines seasonal rainfall forecasts provided by operational weather forecast systems with hydrological modelling tools to provide estimates of seasonal mean river flows up to a few months ahead.The work presented here shows how spatial information contained in a distributed hydrological model typically requiring high-resolution (daily or better) rainfall data can be used to provide an initial condition for a much simpler forecast model tailored to use low-resolution monthly rainfall forecasts. Rainfall forecasts ("hindcasts") from the GloSea5 model (1996 to 2009) are used to provide the first assessment of skill in these national-scale flow forecasts. The skill in the combined modelling system is assessed for different seasons and regions of Britain, and compared to what might be achieved using other approaches such as use of an ensemble of historical rainfall in a hydrological model, or a simple flow persistence forecast. The analysis indicates that only limited forecast skill is achievable for Spring and Summer seasonal hydrological forecasts; however, Autumn and Winter flows can be reasonably well forecast using (ensemble mean) rainfall forecasts based on either GloSea5 forecasts or historical rainfall (the preferred type of forecast depends on the region). Flow forecasts using ensemble mean GloSea5 rainfall perform most consistently well across Britain, and provide the most skilful forecasts overall at the 3-month lead time. Much of the skill (64 %) in the 1-month ahead seasonal flow forecasts can be attributed to the hydrological initial condition (particularly in regions with a significant groundwater contribution to flows), whereas for the 3-month ahead lead time, GloSea5 forecasts account for ∼ 70 % of the forecast skill (mostly in areas of high rainfall to the north and west) and only 30 % of the skill arises from hydrological memory (typically groundwater-dominated areas). Given the high spatial heterogeneity in typical patterns of UK rainfall and evaporation, future development of skilful spatially distributed seasonal forecasts could lead to substantial improvements in seasonal flow forecast capability, potentially benefitting practitioners interested in predicting hydrological extremes, not only in the UK but also across Europe.

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Assessment of methods for extracting low-resolution river networks from high-resolution digital data

Cited by 44 publications

References 20 publications

Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK

Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK

The UKC2 regional coupled environmental prediction system

A national-scale seasonal hydrological forecast system: development and evaluation over Britain

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