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

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

11 April 2021

Salva Rühling Cachay

Ernest Pokropek

Björn Lütjens

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

13 / 13 papers shown

Title
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation Shan Zhao Zhaiyu Chen Zhitong Xiong Yilei Shi Sudipan Saha Xiao Xiang Zhu AI4CE 48 3 0 05 Nov 2024
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks Andrea Ceschini Francesco Mauro Francesca De Falco A. Sebastianelli A. Verdone A. Rosato Bertrand Le Saux Massimo Panella Paolo Gamba Silvia Liberata Ullo GNN AI4CE 36 0 0 12 Aug 2024
Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts Kinya Toride Matthew Newman Andrew Hoell A. Capotondi Jakob Schlör Dillon Amaya 30 0 0 23 Apr 2024
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey Shengchao Chen Guodong Long Jing Jiang Dikai Liu Chengqi Zhang SyDa AI4CE 44 24 0 05 Dec 2023
Graph Neural Network for spatiotemporal data: methods and applications Yun-Qing Li Dazhou Yu Zhenke Liu Minxing Zhang Xi Gong Liang Zhao AI4TS AI4CE 34 10 0 30 May 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 43 6 0 06 Apr 2023
Graph-Based Deep Learning for Sea Surface Temperature Forecasts Ding Ning V. Vetrova K. Bryan AI4Cl AI4TS AI4CE 13 4 0 03 Apr 2023
Conservation Tools: The Next Generation of Engineering--Biology Collaborations Andrew Schulz Cassie Shriver Suzanne Stathatos Benjamin Seleb E. Weigel Young-Hui Chang M. S. Bhamla David Hu Biomolecular Engineering Georgia Tech Zoo Atlanta 16 14 0 03 Jan 2023
AutoML for Climate Change: A Call to Action Renbo Tu Nicholas Roberts Vishak Prasad Sibasis Nayak P. Jain Frederic Sala Ganesh Ramakrishnan Ameet Talwalkar W. Neiswanger Colin White 33 6 0 07 Oct 2022
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers Björn Lütjens Catherine H. Crawford C. Watson C. Hill Dava Newman AI4CE 16 9 0 23 Jul 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 35 0 0 25 Feb 2022
ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models Salva Rühling Cachay Venkatesh Ramesh J. Cole H. Barker David Rolnick 14 20 0 29 Nov 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,944 0 09 Jun 2018