Výsledky vyhledávání - "S. Mangiarotti"

Global models for 222Rn and CO2 concentrations in the Cave of Altamira

Autor: Sergio Sanchez-Moral, Beatriz Molero, Angel Fernandez-Cortes, M. Sáez, S. Mangiarotti, Soledad Cuezva, David Benavente

Publikováno v: Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
Digital.CSIC. Repositorio Institucional del CSIC
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The purpose of this paper is to model numerically the dynamics of CO and Rn in cave atmospheres, particularly in the noteworthy Cave of Altamira (Spain). We aim to get a better understanding of the nature of these dynamics and their couplings with cl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7cbb6ea991bc84e2fe8dd61938606df
https://doi.org/10.1007/s00704-020-03440-9

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Multifractal analysis for spatial characterization of high resolution Sentinel-2/MAJA products in Southwestern France

Autor: M. Neuhauser, S. Verrier, S. Mangiarotti

Publikováno v: Remote Sensing of Environment. 270:112859

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7bf14f54cea575446d456ec601dfe679
https://doi.org/10.1016/j.rse.2021.112859

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Multi-scale statistical properties of disaggregated SMOS soil moisture products in Australia

Autor: C Suere, S. Mangiarotti, Beatriz Molero, M Neuhauser, S Verrier, Olivier Merlin

Publikováno v: Advances in Water Resources
Advances in Water Resources, Elsevier, 2019, 134, pp.103426
Advances in Water Resources, Elsevier, 2019, 134, pp.103426. ⟨10.1016/j.advwatres.2019.103426⟩
Advances in Water Resources, 2019, 134, pp.103426. ⟨10.1016/j.advwatres.2019.103426⟩

International audience; Soil moisture has a strong impact on climate, hydrology and agronomy at different space scales, from the continent global scale to the local watershed. Passive microwave sensors, like SMOS satellite (Soil Moisture and Ocean Sa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d8d1b6139cd1e324b2c5e0d9eaae00
https://hal.archives-ouvertes.fr/hal-02384846

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Chaos theory applied to the modelling of karst springs: first results from univariate time series

Autor: M. Leblanc, S. Mangiarotti, Y. Zhang

Publikováno v: Hydrogeology Journal
Hydrogeology Journal, Springer Verlag, 2019, 27 (6), pp.2027-2043. ⟨10.1007/s10040-019-01971-8⟩

International audience; The hydrological dynamics of karstic systems are generally highly nonlinear and weakly predictable. This paper introduces, for the first time, a hydrological modelling approach based on chaos theory. Although this modelling ap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cef09e9baa73f6a68a1f64d09d0fd400
https://hal.inrae.fr/hal-02628347

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