Analog-based ensembles to characterise turbulent dynamics from observed data

Authors

Institutions

Publication Details

Journal
Journal of Turbulence
Published
2026-02-12
DOI
https://doi.org/10.1080/14685248.2026.2627893
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analog-based ensembles to characterise turbulent dynamics from observed data

Carlos Granero-Belinchón
Journal of Turbulence
Fluid Dynamics and Turbulent Flows
article

Analog-based ensembles to characterise turbulent dynamics from observed data

Carlos Granero-Belinchón
article en

Abstract

No abstract available for this paper.
Journal of Turbulence
IMT Atlantique (FR)
Climate action
Openalex Percentile: Top 54%
Fluid Dynamics and Turbulent Flows
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analog-based ensembles to characterise turbulent dynamics from observed data — Carlos Granero-Belinchón · Journal of Turbulence (2026) | TGRS Research Map | TGRS