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Impact of INSAT-3D/3DR radiance data assimilation in predicting tropical cyclone Titli over the bay of Bengal / Raghu Nadimpalli in IEEE Transactions on geoscience and remote sensing, vol 58 n° 10 (October 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 58 n° 10 (October 2020) . - pp 6945 - 6957 Titre : Impact of INSAT-3D/3DR radiance data assimilation in predicting tropical cyclone Titli over the bay of Bengal Type de document : Article/Communication Auteurs : Raghu Nadimpalli, Auteur ; Akhil Srivastava, Auteur ; V. S. Prasad, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 6945 - 6957 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Bengale, golfe du [Termes IGN] cyclone [Termes IGN] image INSAT-VHRR [Termes IGN] interpolation [Termes IGN] matrice de covariance [Termes IGN] modèle de transfert radiatif [Termes IGN] précipitation [Termes IGN] prévision météorologique [Termes IGN] radiance [Termes IGN] zone intertropicale Résumé : (auteur) This is the first study concerning the assimilation of the INSAT-3D/3DR radiance in the Hurricane Weather Research and Forecasting (HWRF) model and assesses its credibility to improve track, intensity, and precipitation forecasts of tropical cyclone (TC) Titli that occurred over the Bay of Bengal (BoB), which showed rapid intensification (RI) and weakening through its lifetime. The inbuilt Gridpoint Statistical Interpolation (GSI) method is used with a 3-D variational (3DVAR) configuration. Three sets of numerical experiments such as control (CNTL) (no assimilation), Global Telecommunication System (GTS) (observations from GTS network), and INSAT-3D/3DR (INSAT-3D/3DR sounder radiance data and GTS observations) were carried out with seven different initializations. The radiance analysis reproduced the initial vortex and the prominent synoptic scale features associated with TC Titli. The average root-mean-square errors (RMSE) of the analysis were relatively lower in the INSAT-3D/3DR compared to the CNTL and GTS. The HWRF performance is enhanced for track simulation, with improvements in mean landfall position errors by 40%–70% and 26%–52% for the INSAT-3D/3DR and GTS runs, respectively. The assimilation of radiance data has a positive impact on the simulation of warm core and thermodynamic structures, which has led to a more accurate intensity prediction (by 30–47%) over the CNTL. The assimilation run could realistically simulate the RI and weakening phases of the TC. A cold dry air intrusion is also observed when associated with the weakening. The study highlights the need to incorporate INSAT-3D/3DR radiances for improved TC predictions over the BoB basin. Numéro de notice : A2020-587 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2020.2978211 Date de publication en ligne : 25/03/2020 En ligne : https://doi.org/10.1109/TGRS.2020.2978211 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95915 [article]

Prediction of anopheles minimus habitat in India: a tool for malaria management / Akhil Srivastava in International journal of geographical information science IJGIS, vol 19 n° 1 (january 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 1 (january 2005) . - pp 91 - 97 Titre : Prediction of anopheles minimus habitat in India: a tool for malaria management Type de document : Article/Communication Auteurs : Akhil Srivastava, Auteur ; B.N. Nagpal, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 91 - 97 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] ArcInfo [Termes IGN] carte thématique [Termes IGN] épidémie [Termes IGN] forêt [Termes IGN] habitat animal [Termes IGN] Inde [Termes IGN] maladie parasitaire [Termes IGN] médecine humaine [Termes IGN] numérisation de carte [Termes IGN] répartition géographique [Termes IGN] risque sanitaire [Termes IGN] surveillance sanitaire [Termes IGN] système d'information géographique Résumé : (Auteur) This paper reports research to predict the distribution of An. minimus, a malaria vector in forest fringe areas using GIS to support precision surveys for malaria control. Because An. minimus is a forest-associated species, generalized thematic maps (1: 600 000) of forst cover, soil type, altitude, rainfall and temperature were used. Digitalization, overlaying, integration and analysis of thematic maps were done using Arc/Info 8.1 NT and Arc/View 3.2 (GIS, ESRI) software. GIS delineated favourable areas for An. minimus where the species is likely to be found, and precision survey can be conducted. Precision field surveys in selected locations of favourable/non-favourable areas were carried out. The species could be found in all location designated as a favourable area and was absent in non-favourable areas. In two districts, one where the species is reported to have disappeared in the early 1950s and the other where it was not reported in earlier surveys, GIS helped in precision surveys, and An. minimus was found. The technique can quickly cover vast and inaccessible areas and is easy to duplicate in other parts of the world to assist cost effective control of malaria. It can also delineate areas favourable for any species of flora and fauna to help precision surveys. Numéro de notice : A2005-023 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1080/13658810412331280194 En ligne : https://doi.org/10.1080/13658810412331280194 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27162 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05011	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05012	RAB	Revue	Centre de documentation	En réserve L003	Disponible