CDAnet: A Physics‐Informed Deep Neural Network for Downscaling Fluid Flows

Physics-informed neural networks (PINNs) for fluid mechanics: a review

(2022) Shengze Cai et al.   ACTA MECHANICA SINICA

Reconstructing Rayleigh–Bénard flows out of temperature-only measurements using nudging

(2022) Lokahith Agasthya et al.   PHYSICS OF FLUIDS

Physics-informed neural networks for the shallow-water equations on the sphere

(2022) Alex Bihlo et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Nudging-based data assimilation of the turbulent flow around a square cylinder

(2022) M. Zauner et al.   JOURNAL OF FLUID MECHANICS

Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows

(2021) Mathis Bode et al.   PROCEEDINGS OF THE COMBUSTION INSTITUTE

Physics-informed machine learning: case studies for weather and climate modelling

(2021) K. Kashinath et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Assessing the Potential of Deep Learning for Emulating Cloud Superparameterization in Climate Models with Real‐Geography Boundary Conditions

(2021) Griffin Mooers et al.   Journal of Advances in Modeling Earth Systems

On the Importance of High-Resolution in Large-Scale Ocean Models

(2021) Eric P. Chassignet et al.   ADVANCES IN ATMOSPHERIC SCIENCES

Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation

(2021) Georg A. Gottwald et al.   PHYSICA D-NONLINEAR PHENOMENA

Skilful precipitation nowcasting using deep generative models of radar

(2021) Suman Ravuri et al.   NATURE

Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model

(2020) David John Gagne et al.   Journal of Advances in Modeling Earth Systems

Continuous Data Assimilation with Blurred-in-Time Measurements of the Surface Quasi-Geostrophic Equation

(2019) Michael S. Jolly et al.   CHINESE ANNALS OF MATHEMATICS SERIES B

Efficient dynamical downscaling of general circulation models using continuous data assimilation

(2019) Srinivas Desamsetti et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Downscaling data assimilation algorithm with applications to statistical solutions of the Navier–Stokes equations

(2018) Animikh Biswas et al.   ANNALES DE L INSTITUT HENRI POINCARE-ANALYSE NON LINEAIRE

Assimilation of Nearly Turbulent Rayleigh–Bénard Flow Through Vorticity or Local Circulation Measurements: A Computational Study

(2018) Aseel Farhat et al.   JOURNAL OF SCIENTIFIC COMPUTING

Turbulent superstructures in Rayleigh-Bénard convection

(2018) Ambrish Pandey et al.   Nature Communications

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

(2017) Nataliia Kussul et al.   IEEE Geoscience and Remote Sensing Letters

Continuous Data Assimilation for a 2D Bénard Convection System Through Horizontal Velocity Measurements Alone

(2017) Aseel Farhat et al.   JOURNAL OF NONLINEAR SCIENCE

One-Dimensional Parametric Determining form for the Two-Dimensional Navier–Stokes Equations

(2017) Ciprian Foias et al.   JOURNAL OF NONLINEAR SCIENCE

Impact of Horizontal Resolution (1/12° to 1/50°) on Gulf Stream Separation, Penetration, and Variability

(2017) Eric P. Chassignet et al.   JOURNAL OF PHYSICAL OCEANOGRAPHY

Deep learning in big data Analytics: A comparative study

(2017) Bilal Jan et al.   COMPUTERS & ELECTRICAL ENGINEERING

On the Spurious Mode Generation Induced by Spectral-Like Optimized Interpolation Schemes Used in Computational Acoustics

(2016) Guilherme Cunha et al.   Communications in Computational Physics

The effects of Ekman pumping on quasi-geostrophic Rayleigh–Bénard convection

(2016) Meredith Plumley et al.   JOURNAL OF FLUID MECHANICS

Abridged Continuous Data Assimilation for the 2D Navier–Stokes Equations Utilizing Measurements of Only One Component of the Velocity Field

(2015) Aseel Farhat et al.   Journal of Mathematical Fluid Mechanics

A unified approach to determining forms for the 2D Navier-Stokes equations -- the general interpolants case

(2014) C Foias et al.   RUSSIAN MATHEMATICAL SURVEYS

A weather-type statistical downscaling framework for ocean wave climate

(2014) Paula Camus et al.   JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS

Dynamical Downscaling Projections of Twenty-First-Century Atlantic Hurricane Activity: CMIP3 and CMIP5 Model-Based Scenarios

(2013) Thomas R. Knutson et al.   JOURNAL OF CLIMATE

Continuous Data Assimilation Using General Interpolant Observables

(2013) Abderrahim Azouani et al.   JOURNAL OF NONLINEAR SCIENCE

A determining form for the two-dimensional Navier-Stokes equations: The Fourier modes case

(2012) Ciprian Foias et al.   JOURNAL OF MATHEMATICAL PHYSICS

Small-Scale Properties of Turbulent Rayleigh-Bénard Convection

(2009) Detlef Lohse et al.   Annual Review of Fluid Mechanics