On the unknown precipitation amounts of high-elevation catchments: can we use MODIS images to infer precipitation-elevation gradients? - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

On the unknown precipitation amounts of high-elevation catchments: can we use MODIS images to infer precipitation-elevation gradients?

De la non-connaissance des quantités de precipitation sur les bassins de haute altitude : peut-on utiliser les images MODIS pour déduire les gradients de précipitation selon l'altitude ?

Résumé

High-altitude catchments are a real challenge to the hydrologist: (i) because precipitation gaging networks are often sparse, (ii) because most of the maintained precipitation gages are often located at the lower elevations, and (iii) because of the metrological difficulties associated with measuring snow fall. The common approach consists in extrapolating precipitation amounts from all available precipitation gages using so-called precipitation-elevation gradients (Barry, 1992; Valéry et al. 2010). MODIS images offer a possibility to map solid precipitations which accumulate during the winter season. And although satellite images offer (almost) no clue concerning the snow water equivalent, the time taken by snowpack to melt can offer a guess of total snowfall. We test this hypothesis on two high-elevation catchments in Armenia (Table 1 and Figure 1).

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Dates et versions

hal-02607212 , version 1 (16-05-2020)

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Vazken Andréassian, Guillaume Thirel, Philippe Riboust, Simon Gascoin. On the unknown precipitation amounts of high-elevation catchments: can we use MODIS images to infer precipitation-elevation gradients?. SnowHydro, International Conference on Snow Hydrology, Feb 2018, Heidelberg, Germany. pp.25. ⟨hal-02607212⟩
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