Simulating the river-basin response to atmospheric forcing by linking a mesoscale meteorological model and hydrologic model system

Yu, Zhigang; Lakhtakia, Mercedes N.; Yarnal, Brent; White, Richard Allen; Miller, Douglas A.; Frakes, Brent; Barron, Eric J.; Duffy, Christopher; Schwartz, Franklin W.

doi:10.1016/s0022-1694(99)00022-0

Cited by 110 publications

(54 citation statements)

References 44 publications

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“…This work will link a high resolution atmospheric prediction model (Speer et al, 1996;M€ o olders, 1998;Yu et al, 1999;Ibbitt et al, 2000, Kalma, 2001M€ o olders, 2001) to the dynamic hydrological model. The numerical weather prediction model we will use is The University of New South Wales HIgh RESolution model (HIRES) developed by one of authors (LML) (see, for example, Leslie et al, 1985;Leslie and Purser, 1995;Speer et al, 1996).…”

Section: Possible Explanation Of Fire Effects On Streamflowmentioning

confidence: 99%

The effects of bushfires on hydrological processes using a paired-catchment analysis

Liu

Leslie

Speer

et al. 2004

Meteorology and Atmospheric Physics

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Section: Possible Explanation Of Fire Effects On Streamflowmentioning

confidence: 99%

The effects of bushfires on hydrological processes using a paired-catchment analysis

Liu

Leslie

Speer

et al. 2004

Meteorology and Atmospheric Physics

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“…Miller et al, 1994;Sausen et al, 1994;Hagemann & Dumenil, 1998;Arora & Boer, 1999;Yu et al, 1999;Oki et al, 2001). Recent improvements in the resolution of Regional Climate Models have enhanced the possibility and demand for more detailed estimates of river flow across large regions.…”

Section: Introductionmentioning

confidence: 99%

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

Davies

Bell

2009

Hydrological Sciences Journal

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A range of methods for deriving lower-resolution river networks from higher-resolution Digital Terrain Model (DTM) data are assessed at various spatial scales. Derived flow networks are compared to fine-scale hydrologically corrected rivers using a range of performance criteria. These include a measure of spatial distance between fine-scale and derived rivers, and criteria which assess errors in derived catchment area. The Network Tracing Method (NTM), a vector-based network scheme, and the COTAT+ method, a raster-based scheme, are shown to produce river networks that most closely resemble the base fine-scale river networks. COTAT+ is better at preserving catchment areas while the NTM method is often spatially closer to the base river network, especially when applied at lower resolutions, due to a higher percentage of diagonal flow paths. Automatically derived river flow networks will only ever be as good as the base DTM or flow direction data set from which they are derived.Key words drainage network; digital terrain model; flow directions Evaluation de méthodes d'extraction de réseaux hydrographiques à basse résolution à partir de données numériques à haute résolution Résumé Une gamme de méthodes dérivant des réseaux hydrographiques à basse résolution à partir de modèles numériques de terrain (MNT) de plus haute résolution est évaluée à différentes échelles spatiales. Des réseaux d'écoulement extraits sont comparés avec un réseau à échelle fine corrigé pour tenir compte de l'hydrologie, à l'aide d'un ensemble de critères de performance. Ceux-ci comprennent une mesure de la distance spatiale entre réseaux extraits et de référence, ainsi que des critères d'évaluation des erreurs dans la délimitation du bassin versant. La méthode de traçage de réseau (MTR), selon une logique vectorielle, et la méthode COTAT+, selon une logique raster, se révèlent générer les réseaux hydrographiques les plus proches du réseau de référence à échelle fine. COTAT+ est meilleure pour préserver la délimitation du bassin, tandis que la méthode MTR est souvent spatialement plus proche du réseau de référence, en particulier lors d'applications à de plus faibles résolutions, en raison d'un pourcentage plus fort de chemins d'écoulement diagonaux. Les réseaux d'écoulement extraits automatiquement seront au mieux d'aussi bonne qualité que le MNT ou la base de données des directions de drainage dont ils sont extraits.

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“…Flow routing is being used, increasingly, to diagnose the output from large-scale land-surface models and Global Climate Models through reference to observations of river flows (Aroro and Boer, 1999;Hagemann and Dumenil, 1998;Miller et al, 1994;Oki et al, 2001;Sausen et al, 1994;Yu et al, 1999). Such diagnostic studies typically produce monthly estimates of river flow and can provide estimates of the freshwater input to ocean models, possibly as part of a fully coupled atmosphere-land-surface-ocean model.…”

Section: Introductionmentioning

confidence: 99%

Development of a high resolution grid-based river flow model for use with regional climate model output

Bell¹,

Kay²,

Jones³

et al. 2007

Hydrol. Earth Syst. Sci.

152

133

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A grid-based approach to river flow modelling has been developed for regional assessments of the impact of environmental change on hydrologically sensitive systems. The approach also provides a means of assessing, and providing feedback on, the hydrological performance of the land-surface component of a regional climate model (RCM). When combined with information on the evolution of climate, the model can give estimates of the impact of future climate change on river flows and flooding. The high-resolution flow routing and runoff-production model is designed for use with RCM-derived rainfall and potential evaporation (PE), although other sources of gridded rainfall and PE can be employed. Called the Grid-to-Grid Model, or G2G, it can be configured on grids of different resolution and coverage (a 1 km grid over the UK is used here). The model can simulate flow on an area-wide basis as well as providing estimates of fluvial discharges for input to shelfsea and ocean models. Configuration of the flow routing model on a relatively high resolution 1 km grid allows modelled river flows to be compared with gauged observations for a variety of catchments across the UK. Modelled flows are also compared with those obtained from a catchment-based model, a parameter-generalised form of the Probability-Distributed Model (PDM) developed for assessing flood frequency. Using RCM re-analysis rainfall and PE as input, the G2G model performs well compared with measured flows at a daily time-step, particularly for high relief catchments. It performs less well for low-relief and groundwater-dominated regions because the dominant model control on runoff production is topography.

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Simulating the river-basin response to atmospheric forcing by linking a mesoscale meteorological model and hydrologic model system

Cited by 110 publications

References 44 publications

The effects of bushfires on hydrological processes using a paired-catchment analysis

The effects of bushfires on hydrological processes using a paired-catchment analysis

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

Development of a high resolution grid-based river flow model for use with regional climate model output

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