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2104.05089
Cited By

The World as a Graph: Improving El Niño Forecasts with Graph Neural
Networks

v1v2 (latest)

The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks

11 April 2021

Salva Rühling Cachay

Ernest Pokropek

Björn Lütjens

ArXiv (abs)PDF HTML

Papers citing "The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks"

9 / 9 papers shown

Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation

Beyond Grid Data: Exploring Graph Neural Networks for Earth ObservationIEEE Geoscience and Remote Sensing Magazine (GRSM), 2024

379

24

0

05 Nov 2024

Using Deep Learning to Identify Initial Error Sensitivity for
Interpretable ENSO Forecasts

Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts

504

3

0

23 Apr 2024

Inductive biases in deep learning models for weather prediction

Inductive biases in deep learning models for weather prediction

Jannik Thümmel

Matthias Karlbauer

...

Thomas Scholten

Ulrich Friedrich

Martin Volker Butz

398

8

0

06 Apr 2023

Graph-Based Deep Learning for Sea Surface Temperature Forecasts

Graph-Based Deep Learning for Sea Surface Temperature Forecasts

AI4Cl AI4TS AI4CE

103

6

0

03 Apr 2023

Conservation Tools: The Next Generation of Engineering--Biology
Collaborations

Conservation Tools: The Next Generation of Engineering--Biology CollaborationsJournal of the Royal Society Interface (J. R. Soc. Interface), 2023

Suzanne Stathatos

Young-Hui Chang

Biomolecular Engineering Georgia Tech

233

20

0

03 Jan 2023

AutoML for Climate Change: A Call to Action

AutoML for Climate Change: A Call to Action

Nicholas Roberts

Ganesh Ramakrishnan

Ameet Talwalkar

Willie Neiswanger

291

6

0

07 Oct 2022

Multiscale Neural Operator: Learning Fast and Grid-independent PDE
Solvers

Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers

Björn Lütjens

Catherine H. Crawford

232

15

0

23 Jul 2022

Statistics and Deep Learning-based Hybrid Model for Interpretable
Anomaly Detection

Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection

Thabang Mathonsi

Terence L van Zyl

207

1

0

25 Feb 2022

ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative
Transfer in Weather and Climate Models

ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models

Salva Rühling Cachay

Venkatesh Ramesh

173

25

0

29 Nov 2021

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