Hydrometeorological data extension for the Sudan-Sahel zone of West Africa using satellite remote sensing

Pietroniro, Alain; Soulis, E. D.; Solomon, S. I.

doi:10.1109/36.58985

Cited by 2 publications

(2 citation statements)

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“…The standard errors of validation of runoff for study basins are given in Table 5. The standard errors of the monthly hydrographs demonstrate a path for improved rainfall estimation (Pietroniro et al, 1991). This is of particular interest for areas such as the Sahel where there is only a sparse network of rainfall gauges.…”

Section: Flowmentioning

confidence: 96%

“…A statistical model between monthly ITCZ characteristics and monthly rainfall appears sound. Pietroniro et al (1991) developed a regression model with monthly cold cloud occurrences (O c ) and a monthly average of 5-day maximum Meteosat surface temperatures (T max ) as the independent variables and monthly rainfall values (PPT) as the dependent variable. The regression results are given in Table 4.…”

Section: Flowmentioning

confidence: 99%

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Remote sensing applications in hydrological modelling

Kite¹,

Pietroniro²

1996

Hydrological Sciences Journal

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116

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Previous studies have suggested that remotely sensed data should provide major benefits to hydrology and water resources and yet there are few case studies that show practical benefits. One of the reasons for this is the lack of tools to convert remotely sensed data to the type of information useful to water resource systems operators. Hydrological models can play an important role in this translation of data to information. This paper reviews some of the techniques presently used in hydrological models to make use of remotely sensed data and provides a comprehensive reference list. Applications de la télédétection à la modélisation hydrologique Résumé Si de précédentes études on suggéré que les données télédétec-tées pouvaient rendre de grands services à l'hydrologie et à l'étude des ressources en eau, il n'existe que peu d'études de cas mettant en évidence leur intérêt pratique. L'une des causes de cet état de choses est le manque d'outils permettant de traduire les données télédétectées en informations directement utilisables par les gestionnaires des ressources en eau. Les modèles hydrologiques peuvent jouer un grand rôle dans ce processus de transformation de données en informations. Le présent article passe en revue quelques unes des techniques actuellement utilisées en modélisation hydrologique permettant d'utiliser des données télé-détectées et fournit une bibliographie détaillée.

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Section: Flowmentioning

confidence: 96%

Section: Flowmentioning

confidence: 99%