http://www.cnr.it/ontology/cnr/individuo/prodotto/ID300975
Characterization of the time dynamics of monthly satellite snow cover data on Mountain Chains in Lebanon (Articolo in rivista)
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- Characterization of the time dynamics of monthly satellite snow cover data on Mountain Chains in Lebanon (Articolo in rivista) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.jhydrol.2014.10.037 (literal)
- Alternative label
Telesca, L.a , Shaban, A.b, Gascoin, S.c, Darwich, T.b, Drapeau, L.c, Hage, M.E.b, Faour, G.b (2014)
Characterization of the time dynamics of monthly satellite snow cover data on Mountain Chains in Lebanon
in Journal of hydrology (Amst.); Elsevier, Amsterdam (Paesi Bassi)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Telesca, L.a , Shaban, A.b, Gascoin, S.c, Darwich, T.b, Drapeau, L.c, Hage, M.E.b, Faour, G.b (literal)
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- http://www.sciencedirect.com/science/article/pii/S0022169414008324# (literal)
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- a. CNR,IMAA - Istituto di Metodologie per l'Analisi Ambientale, Cda.Santa Loja - 85050 Tito Scalo, Potenza, Italy
b. National Council for Scientific ResearchBeirut, Lebanon
c. Centre d'Etudes Spatiales de la Biosphère, CESBIOToulouse, France (literal)
- Titolo
- Characterization of the time dynamics of monthly satellite snow cover data on Mountain Chains in Lebanon (literal)
- Abstract
- In this study, the time dynamics of the monthly means of the snow cover have been on Lebanese Mountain Chains from 2000 to 2012, derived from the MODIS Aqua/Terra satellite snow products was analyzed. This represents the longest satellite-based snow cover time series produced for Lebanon so far. Field survey was also carried out over the last three years in order to measure the in-situ snow/water equivalent and depth in different localities. Analyzing the regime of the snow cover in Mount-Lebanon (Western Mountain Chains) region, it was found that: (i) snowmelt accounts for about 31% of the rivers and springs discharge in Lebanon; (ii) consecutive peaks in the snow cover time series, representing the change-point between accumulation phase and ablation phase are present in three different patterns (edged, non-edged and double peaked); (iii) the areal snow coverage has big diversity between different years; (iv) the annual periodicity represents the most statistically significant and predominant frequency of the series contributing for about the 40% of the total variance of the snow cover series; (v) the longterm trend, totally hidden by the more powerful yearly component and detected by using the singular spectrum analysis (SSA), accounts for about the 33% of the total variance of the series; (vi) the long-term trend shows an apparent cyclic behavior with an estimated period (interval between the two minima) of about nine years; (vii) the comparison of the long-term trend with the North Atlantic Oscillation (NAO) monthly index reveals that the minima in 2009-2010 of the SSA long-term component coincides with a persistent negative phase in the NAO Index. (C) 2014 Elsevier BM. All rights reserved. (literal)
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