https://hal-enpc.archives-ouvertes.fr/hal-01238360Pinel, J.J.PinelDepartment of Physics [Montréal] - McGill University = Université McGill [Montréal, Canada]Lovejoy, S.S.LovejoyDepartment of Physics [Montréal] - McGill University = Université McGill [Montréal, Canada]GEOTOP - Centre de recherche sur la dynamique du système Terre - EPM - École Polytechnique de Montréal - McGill University = Université McGill [Montréal, Canada] - UdeM - Université de Montréal - UQAT - Université du Québec en Abitibi-Témiscamingue - UQAR - Université du Québec à Rimouski - Concordia University [Montreal] - UQAM - Université du Québec à Montréal = University of Québec in MontréalSchertzer, DDSchertzerLEESU - laboratoire Eau, Environnement et Systèmes Urbains - AgroParisTech - UPEM - Université Paris-Est Marne-la-Vallée - ENPC - École des Ponts ParisTech - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12The horizontal space-time scaling and cascade structure of the atmosphere and satellite radiancesHAL CCSD2014[SDE] Environmental Sciences[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/HydrologyBordignon, Frédérique2015-12-04 16:55:202022-08-05 14:38:112015-12-04 16:55:20enJournal articles10.1016/j.atmosres.2013.11.0221Classically, turbulence has been modeled by a hierarchy of different isotropic scaling regimes. However, gravity acts at all scales and theory and modern observations point towards an atmosphere described by a single anisotropic scaling regime with different scaling laws in the horizontal and vertical directions: the 23/9D model. However, the implications of this anisotropic spatial scaling for the temporal statistics (i.e. the full space-time scaling) have not been worked out and are the subject of this paper. Small structures are advected by larger turbulent structures, by considering averages over the latter we obtain estimates for the structure functions and spectra.To test these predictions, we analyze geostationary satellite MTSAT Infra red radiances over wide scale ranges in both horizontal space and in time (5km to ~10000km, 1h to 2months). We find that our model accurately reproduces the full 3D (kx, ky, ω) spectral density up to 5000km in space and 100h in time. For example, to within constant factors, the 1D spectral exponents were the same in both horizontal directions and in time with spectral exponent β ~1.55±0.01. We also considered the various 2-D subspaces ((kx, ky), (kx, ω), (ky, ω)) and showed how these could be used to determine both mean advection vectors (useful for atmospheric motion vectors) but also the turbulent winds.Going beyond these second order statistics we tested the predictions of multiplicative cascade models by estimating turbulent fluxes from both MTSAT but also the polar orbiting TRMM satellite at infrared and passive microwave bands over scale ranges 100. km to 20. 000. km, 1. day to 1. year. These accurately obeyed the predictions of multiplicative cascade models over large ranges of spatial scales with typically slight deviations at smallest and largest scales. Analogous temporal analyses showed similar agreement at small scales, but with significant deviations at scales larger than a few days, marking two regimes, associated with weather and macroweather. This allows us to determine Eulerian frame space-time diagrams relating the sizes and lifetimes of structures. © 2013 Elsevier B.V.