scholarly journals Topology of dynamical reconstructions from Lagrangian data

2020 ◽  
Vol 405 ◽  
pp. 132371
Author(s):  
Gisela D. Charó ◽  
Guillermo Artana ◽  
Denisse Sciamarella
Keyword(s):  
Lagrangian Data

scholarly journals Horizontal Air-Water Two Phase Slug Flow: Eulerian and Lagrangian Data Analysis

2020 ◽  
Author(s):  
Conrado Chiarello ◽  
Hedilberto Barros ◽  
Moisés Marcelino Neto ◽  
Rigoberto Morales
Keyword(s):  
Data Analysis ◽  
Slug Flow ◽  
Two Phase ◽  
Lagrangian Data

scholarly journals Calculating Energy Spectra from Drifters

2016 ◽  
Author(s):  
Joseph H. LaCasce
Keyword(s):  
Energy Spectrum ◽  
Kinetic Energy ◽  
Structure Function ◽  
Two Dimensions ◽  
Longitudinal Structure ◽  
Kinetic Energy Spectrum ◽  
Longitudinal Structure Function ◽  
Large Pair ◽  
Non Local ◽  
Lagrangian Data

The relations between the kinetic energy spectrum and the second order longitudinal structure function in two dimensions are derived, and several examples are considered. The forward conversion (from spectrum to structure function) is illustrated first with idealized power law spectra, representing turbulent inertial ranges. The forward conversion is also applied to the zonal kinetic energy spectrum of Nastrom and Gage (1985) and the result agrees well with the longitudinal structure function of Lindborg (1999). The inverse conversion (from structure function to spectrum) is tested with data from 2D turbulence simulations. When applied to the theoretical structure function (derived from the forward conversion of the spectrum), the result closely resembles the original spectrum, except at the largest wavenumbers. However the inverse conversion is much less successful when applied to the structure function obtained from pairs of particles in the flow. This is because the inverse conversion favors large pair separations, which are typically noisy with particle data. Fitting the structure function to a polynomial improves the result, but not sufficiently to distinguish the correct inertial range dependencies. Furthermore the inversion of non-local spectra is largely unsuccessful. Thus it appears that focusing on structure functions with Lagrangian data is preferable to estimating spectra.

Lagrangian data in a high-resolution numerical simulation of the North Atlantic

2001 ◽  
Vol 29 (1-4) ◽  
pp. 157-176 ◽  
Author(s):  
Zulema D Garraffo ◽  
Arthur J Mariano ◽  
Annalisa Griffa ◽  
Carmela Veneziani ◽  
Eric P Chassignet
Keyword(s):  
Numerical Simulation ◽  
High Resolution ◽  
North Atlantic ◽  
The North ◽  
The North Atlantic ◽  
Lagrangian Data

scholarly journals Gushel–Mukai varieties: Moduli

2020 ◽  
Vol 31 (02) ◽  
pp. 2050013 ◽  
Author(s):  
Olivier Debarre ◽  
Alexander Kuznetsov
Keyword(s):  
Moduli Space ◽  
Period Map ◽  
Moduli Stack ◽  
Git Quotient ◽  
Lagrangian Data ◽  
Comprehensive Study

We describe the moduli stack of Gushel–Mukai varieties as a global quotient stack and its coarse moduli space as the corresponding GIT quotient. The construction is based on a comprehensive study of the relation between this stack and the stack of so-called Lagrangian data defined in our previous works; roughly speaking, we show that the former is a generalized root stack of the latter. As an application, we define the period map for Gushel–Mukai varieties and construct some complete nonisotrivial families of smooth Gushel–Mukai varieties. In an appendix, we describe a generalization of the root stack construction used in our approach to the moduli stack.

Reconstruction of oceanic flow characteristics from quasi-Lagrangian data: 2. Characteristics of the large-scale circulation in the Black Sea

1992 ◽  
Vol 97 (C6) ◽  
pp. 9743 ◽  
Author(s):  
V. N. Eremeev ◽  
L. M. Ivanov ◽  
A. D. Kirwan ◽  
O. V. Melnichenko ◽  
S. V. Kochergin ◽  
...  
Keyword(s):  
Black Sea ◽  
Large Scale ◽  
Flow Characteristics ◽  
The Black Sea ◽  
Large Scale Circulation ◽  
Lagrangian Data

scholarly journals Lagrangian data assimilation for river hydraulics simulations

2008 ◽  
Vol 12 (5) ◽  
pp. 235-246 ◽  
Author(s):  
Marc Honnorat ◽  
Jérôme Monnier ◽  
François-Xavier Le Dimet
Keyword(s):  
Data Assimilation ◽  
River Hydraulics ◽  
Lagrangian Data

scholarly journals Assimilating Lagrangian data for parameter estimation in a multiple-inlet system

2017 ◽  
Vol 113 ◽  
pp. 131-144 ◽  
Author(s):  
L.C. Slivinski ◽  
L.J. Pratt ◽  
I.I. Rypina ◽  
M.M. Orescanin ◽  
B. Raubenheimer ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Inlet System ◽  
Lagrangian Data

scholarly journals Identifying finite-time coherent sets from limited quantities of Lagrangian data

2015 ◽  
Vol 25 (8) ◽  
pp. 087408 ◽  
Author(s):  
Matthew O. Williams ◽  
Irina I. Rypina ◽  
Clarence W. Rowley
Keyword(s):  
Finite Time ◽  
Lagrangian Data
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