3.9 Article

A Physics-Aware Neural Network Approach for Flow Data Reconstruction From Satellite Observations

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Mechanics

Machine Learning for Fluid Mechanics

Steven L. Brunton et al.

ANNUAL REVIEW OF FLUID MECHANICS, VOL 52 (2020)

Article Meteorology & Atmospheric Sciences

Evolution of an Atmospheric Karman Vortex Street From High-Resolution Satellite Winds: Guadalupe Island Case Study

A. Horvath et al.

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2020)

Article Meteorology & Atmospheric Sciences

The ERA5 global reanalysis

Hans Hersbach et al.

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2020)

Article Meteorology & Atmospheric Sciences

Potential and Limitations of Machine Learning for Modeling Warm-Rain Cloud Microphysical Processes

Axel Seifert et al.

JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2020)

Article Computer Science, Software Engineering

Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow

S. Wiewel et al.

COMPUTER GRAPHICS FORUM (2019)

Article Computer Science, Software Engineering

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

Byungsoo Kim et al.

COMPUTER GRAPHICS FORUM (2019)

Article Meteorology & Atmospheric Sciences

Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500-hpa Geopotential Height From Historical Weather Data

Jonathan A. Weyn et al.

JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2019)

Article Environmental Sciences

Joint 3D-Wind Retrievals with Stereoscopic Views from MODIS and GOES

James L. Carr et al.

REMOTE SENSING (2019)

Article Computer Science, Software Engineering

Transport-Based Neural Style Transfer for Smoke Simulations

Byungsoo Kim et al.

ACM TRANSACTIONS ON GRAPHICS (2019)

Article Meteorology & Atmospheric Sciences

RECOMMENDATIONS FOR IN SITU AND REMOTE SENSING CAPABILITIES IN ATMOSPHERIC CONVECTION AND TURBULENCE

Bart Geerts et al.

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2018)

Article Computer Science, Software Engineering

Learning Three-Dimensional Flow for Interactive Aerodynamic Design

Nobuyuki Umetani et al.

ACM TRANSACTIONS ON GRAPHICS (2018)

Article Meteorology & Atmospheric Sciences

Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events

Paul A. O'Gorman et al.

JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2018)

Article Meteorology & Atmospheric Sciences

Evaluation of the EUMETSAT Global AVHRR Wind Product

Akos Horvath et al.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2017)

Article Computer Science, Software Engineering

Globally and Locally Consistent Image Completion

Satoshi Iizuka et al.

ACM TRANSACTIONS ON GRAPHICS (2017)

Article Meteorology & Atmospheric Sciences

A CLOSER LOOK AT THE ABI ON THE GOES-R SERIES

Timothy J. Schmit et al.

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2017)

Article Computer Science, Software Engineering

3D Attention-Driven Depth Acquisition for Object Identification

Kai Xu et al.

ACM TRANSACTIONS ON GRAPHICS (2016)

Article Meteorology & Atmospheric Sciences

An observational study of vortex spacing in island wake vortex streets

George S. Young et al.

MONTHLY WEATHER REVIEW (2006)