Distributed hydrological modelling using weather radar in gauged and ungauged basins
Identifieur interne : 008387 ( Main/Exploration ); précédent : 008386; suivant : 008388Distributed hydrological modelling using weather radar in gauged and ungauged basins
Auteurs : Steven J. Cole [Royaume-Uni] ; Robert J. Moore [Royaume-Uni]Source :
- Advances in water resources [ 0309-1708 ] ; 2009.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Distributed hydrological modelling using space-time estimates of rainfall from weather radar provides a natural approach to area-wide flood forecasting and warning at any location, whether gauged or ungauged. However, radar estimates of rainfall may lack consistent, quantitative accuracy. Also, the formulation of hydrological models in distributed form may be problematic due to process complexity and scaling issues. Here, the aim is to first explore ways of improving radar rainfall accuracy through combination with raingauge network data via integrated multiquadric methods. When the resulting gridded rainfall estimates are employed as input to hydrological models, the simulated river flows show marked improvements when compared to using radar data alone. Secondly, simple forms of physical-conceptual distributed hydrological model are considered, capable of exploiting spatial datasets on topography and, where necessary, land-cover, soil and geology properties. The simplest Grid-to-Grid model uses only digital terrain data to delineate flow pathways and to control runoff production, the latter by invoking a probability-distributed relation linking terrain slope to soil absorption capacity. Model performance is assessed over nested river basins in northwest England, employing a lumped model as a reference. When the distributed model is used with the gridded radar-based rainfall estimators, it shows particular benefits for forecasting at ungauged locations.
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Moore</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Centre for Ecology and Hydrology, Maclean Building, Crowmarsh Gifford</s1><s2>Wallingford, Oxon OX10 8BB</s2><s3>GBR</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Royaume-Uni</country><wicri:noRegion>Wallingford, Oxon OX10 8BB</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">10-0162127</idno><date when="2009">2009</date><idno type="stanalyst">PASCAL 10-0162127 INIST</idno><idno type="RBID">Pascal:10-0162127</idno><idno type="wicri:Area/PascalFrancis/Corpus">002785</idno><idno type="wicri:Area/PascalFrancis/Curation">003801</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">002B91</idno><idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">002B91</idno><idno type="wicri:doubleKey">0309-1708:2009:Cole S:distributed:hydrological:modelling</idno><idno type="wicri:Area/Main/Merge">008B60</idno><idno type="wicri:Area/Main/Curation">008387</idno><idno type="wicri:Area/Main/Exploration">008387</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Distributed hydrological modelling using weather radar in gauged and ungauged basins</title><author><name sortKey="Cole, Steven J" sort="Cole, Steven J" uniqKey="Cole S" first="Steven J." last="Cole">Steven J. Cole</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Centre for Ecology and Hydrology, Maclean Building, Crowmarsh Gifford</s1><s2>Wallingford, Oxon OX10 8BB</s2><s3>GBR</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Royaume-Uni</country><wicri:noRegion>Wallingford, Oxon OX10 8BB</wicri:noRegion></affiliation></author><author><name sortKey="Moore, Robert J" sort="Moore, Robert J" uniqKey="Moore R" first="Robert J." last="Moore">Robert J. Moore</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Centre for Ecology and Hydrology, Maclean Building, Crowmarsh Gifford</s1><s2>Wallingford, Oxon OX10 8BB</s2><s3>GBR</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>Royaume-Uni</country><wicri:noRegion>Wallingford, Oxon OX10 8BB</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Advances in water resources</title><title level="j" type="abbreviated">Adv. water resour.</title><idno type="ISSN">0309-1708</idno><imprint><date when="2009">2009</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Advances in water resources</title><title level="j" type="abbreviated">Adv. water resour.</title><idno type="ISSN">0309-1708</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>England</term><term>absorption</term><term>accuracy</term><term>floods</term><term>flow</term><term>hydrological modeling</term><term>land cover</term><term>models</term><term>performances</term><term>probability</term><term>radar methods</term><term>rain water</term><term>rainfall</term><term>rivers</term><term>runoff</term><term>slopes</term><term>soils</term><term>spatiotemporal variations</term><term>terrains</term><term>topography</term><term>water resources</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Modèle</term><term>Méthode radar</term><term>Pluie</term><term>Crue</term><term>Précision</term><term>Modèle hydrologique</term><term>Rivière</term><term>Ecoulement</term><term>Topographie</term><term>Occupation sol</term><term>Sol</term><term>Terrain</term><term>Ruissellement</term><term>Probabilité</term><term>Versant</term><term>Absorption</term><term>Performance</term><term>Ressource eau</term><term>Variation spatiotemporelle</term><term>Eau pluie</term><term>Angleterre</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Distributed hydrological modelling using space-time estimates of rainfall from weather radar provides a natural approach to area-wide flood forecasting and warning at any location, whether gauged or ungauged. However, radar estimates of rainfall may lack consistent, quantitative accuracy. Also, the formulation of hydrological models in distributed form may be problematic due to process complexity and scaling issues. Here, the aim is to first explore ways of improving radar rainfall accuracy through combination with raingauge network data via integrated multiquadric methods. When the resulting gridded rainfall estimates are employed as input to hydrological models, the simulated river flows show marked improvements when compared to using radar data alone. Secondly, simple forms of physical-conceptual distributed hydrological model are considered, capable of exploiting spatial datasets on topography and, where necessary, land-cover, soil and geology properties. The simplest Grid-to-Grid model uses only digital terrain data to delineate flow pathways and to control runoff production, the latter by invoking a probability-distributed relation linking terrain slope to soil absorption capacity. Model performance is assessed over nested river basins in northwest England, employing a lumped model as a reference. When the distributed model is used with the gridded radar-based rainfall estimators, it shows particular benefits for forecasting at ungauged locations.</div></front></TEI><affiliations><list><country><li>Royaume-Uni</li></country></list><tree><country name="Royaume-Uni"><noRegion><name sortKey="Cole, Steven J" sort="Cole, Steven J" uniqKey="Cole S" first="Steven J." last="Cole">Steven J. Cole</name></noRegion><name sortKey="Moore, Robert J" sort="Moore, Robert J" uniqKey="Moore R" first="Robert J." last="Moore">Robert J. Moore</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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