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Using NHDPlus as the land base for the Noah-distributed model / Christian David in Transactions in GIS, vol 13 n° 4 (August 2009)  

Public [article]  inTransactions in GIS > vol 13 n° 4 (August 2009) . - pp 363 - 377 Titre : Using NHDPlus as the land base for the Noah-distributed model Type de document : Article/Communication Auteurs : Christian David, Auteur ; D. Gochis, Auteur ; D.R. Maidment, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 363 - 377 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] courant marin [Termes IGN] données matricielles [Termes IGN] données vectorielles [Termes IGN] Etats-Unis [Termes IGN] hydrographie de surface [Termes IGN] modèle atmosphérique [Termes IGN] modèle hydrographique [Termes IGN] modèle numérique de terrain [Termes IGN] réseau hydrographique [Termes IGN] ressources en eau Résumé : (Auteur) The National Elevation, Hydrography and Land Cover datasets of the United States have been synthesized into a geospatial dataset called NHDPlus which is referenced to a spheroidal Earth, provides geospatial data layers for topography on 30 m rasters, and has vector coverages for catchments and river reaches. In this article, we examine the integration of NHDPlus with the Noah-distributed model. In order to retain compatibility with atmospheric models, Noah-distributed utilizes surface domain fields referenced to a spherical rather than spheroidal Earth in its computation of vertical land surface/atmosphere water and energy budgets (at coarse resolution) as well as horizontal cell-to-cell water routing across the land surface and through the shallow subsurface (at fine resolution). Two data-centric issues affecting the linkage between Noah-distributed and NHDPlus are examined: (1) the shape of the Earth; and (2) the linking of gridded landscape with a vector representation of the stream and river network. At mid-latitudes the errors due to projections between spherical and spheroidal representations of the Earth are significant. A catchment-based "pour point" technique is developed to link the raster and vector data to provide lateral inflow from the landscape to a one-dimensional river model. We conclude that, when Noah-distributed is run uncoupled to an atmospheric model, it is advantageous to implement Noah-distributed at the native spatial scale of the digital elevation data and the spheroidal Earth of the NHDPlus dataset rather than transforming the NHDPlus dataset to fit the coarser resolution and spherical Earth shape of the Noah-distributed model. Copyright Blackwell Publishing Numéro de notice : A2009-528 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2009.01169.x En ligne : https://doi.org/10.1111/j.1467-9671.2009.01169.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30157 [article]

Raster-network regionalization for watershed data processing / T.L. Whiteaker in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 21 n° 3-4 (march - april 2007) . - pp 341 - 353 Titre : Raster-network regionalization for watershed data processing Type de document : Article/Communication Auteurs : T.L. Whiteaker, Auteur ; D.R. Maidment, Auteur ; H. Gopalan, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 341 - 353 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] ArcGIS [Termes IGN] bassin hydrographique [Termes IGN] données maillées [Termes IGN] modèle hydrographique [Termes IGN] régionalisation (segmentation) [Termes IGN] Rio Grande (fleuve) [Termes IGN] Texas (Etats-Unis) [Termes IGN] variable régionalisée Résumé : (Auteur) Difficulties exist in calculating watershed parameters from raster datasets over large regions because of the excessive computation time involved. A technique is presented which divides a large region into hydrologically distinct subregions, in each of which raster analyses are performed, in order to efficiently process large raster datasets. The results of raster analyses are stored as attributes on the resulting vector data. The vector data are then merged, and appropriate values accumulated to obtain regional parameter values for points of interest along the stream network. The technique, called Raster-Network Regionalization, uses the vector stream network as the backbone for the integration of subregions into a single region. A case study is presented which utilizes the technique to prepare geospatial inputs for the Water Rights Analysis Package simulation model. Numéro de notice : A2007-115 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810600965255 En ligne : https://doi.org/10.1080/13658810600965255 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28478 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-07021	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-07022	RAB	Revue	Centre de documentation	En réserve L003	Disponible