Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Francois G. Schmitt"'
River flows and associated suspended sediment (SS) transport are intermittent processes possessing fluctuations over a large range of time scales and space, making it challenging to develop predictive models that are applicable across timescales and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac59cc3b3bcb5c88e1f28d25ae68531c
https://doi.org/10.5194/egusphere-egu23-2913
https://doi.org/10.5194/egusphere-egu23-2913
Autor:
Vasileios Bampouris, Emilie Houliez, Francois G. Schmitt, Muriel Crouvoiser, Kostas Kormas, Urania Christaki
Diatoms have high productivity and are highly influenced by turbulent conditions. We consider here diatoms of the species Pseudo-nitzschia, which are chain forming. The objective of this work was to show how the turbulent environment affects the grow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae36c488227a97013d6b2d5a3be861c8
https://doi.org/10.5194/egusphere-egu23-12895
https://doi.org/10.5194/egusphere-egu23-12895
Turbulence theory essentially describes energy and enstrophy flows crossing scales or a balance between input and output. A famous example is the Richardson-Kolmogorov forward energy cascade picture for three-dimensional homogeneous and isotropic tur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::316dc3fb1bca81ae6bd252e379eab0c3
https://doi.org/10.5194/egusphere-egu22-8277
https://doi.org/10.5194/egusphere-egu22-8277
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0126975 (2015)
Satellite remote sensing observations allow the ocean surface to be sampled synoptically over large spatio-temporal scales. The images provided from visible and thermal infrared satellite observations are widely used in physical, biological, and ecol
Externí odkaz:
https://doaj.org/article/eab4d1220db54cd6bcbe574965247e99
Publikováno v:
CFM 2017-23ème Congrès Français de Mécanique
CFM 2017-23ème Congrès Français de Mécanique, Aug 2017, Lille, France
HAL
CFM 2017-23ème Congrès Français de Mécanique, Aug 2017, Lille, France
HAL
Colloque avec actes et comité de lecture. Internationale.; International audience; Les copépodes sont des crustacés zooplanctoniques très abondants dans les écosystèmes aquatiques. Ils sont un élément important de la chaîne alimentaire, reli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::deddadd06ddd333d682d1d6d1ba33149
https://hal.archives-ouvertes.fr/hal-03465556
https://hal.archives-ouvertes.fr/hal-03465556
Autor:
Francois G. Schmitt, Yongxiang Huang
Publikováno v:
Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcc6d033bd8cb61826b6fee86e997c92
https://doi.org/10.1017/cbo9781107705548.006
https://doi.org/10.1017/cbo9781107705548.006
Autor:
Yongxiang Huang, Francois G. Schmitt
Publikováno v:
Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95b18a135c7a1b1ba8d15bdbe6ab2940
https://doi.org/10.1017/cbo9781107705548.005
https://doi.org/10.1017/cbo9781107705548.005
Autor:
Yongxiang Huang, Francois G. Schmitt
Publikováno v:
Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ea63c0cf7f2bda7cc61c96736e9881e
https://doi.org/10.1017/cbo9781107705548.007
https://doi.org/10.1017/cbo9781107705548.007
Autor:
Yongxiang Huang, Francois G. Schmitt
Publikováno v:
Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3982c566f0f9ecfda80031969c346d0a
https://doi.org/10.1017/cbo9781107705548.002
https://doi.org/10.1017/cbo9781107705548.002
Autor:
Yongxiang Huang, Francois G. Schmitt
Publikováno v:
Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4edad7e68a5f260cadc97644659d1b04
https://doi.org/10.1017/cbo9781107705548.003
https://doi.org/10.1017/cbo9781107705548.003