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1605.01156
Cited By
Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets
4 May 2016
Yunjie Liu
Evan Racah
P. Prabhat
Joaquin Correa
A. Khosrowshahi
D. Lavers
K. Kunkel
M. Wehner
W. Collins
AI4Cl
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Papers citing
"Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets"
50 / 66 papers shown
From Black Box to Insight: Explainable AI for Extreme Event Preparedness
Kiana Vu
İsmet Selçuk Özer
Phung Lai
Zheng Wu
Thilanka Munasinghe
Jennifer Wei
83
0
0
17 Nov 2025
Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed
Harrison J. Goldwyn
Mitchell Krock
J. Rudi
Daniel J. Getter
J. Bessac
UQCV
125
0
0
21 Aug 2025
Physics-Guided Multimodal Transformers are the Necessary Foundation for the Next Generation of Meteorological Science
Jing Han
Hanting Chen
Kai Han
Xiaolin Huang
Yongyun Hu
Wenjun Xu
Dacheng Tao
AI4CE
229
1
0
19 Apr 2025
Identifying Spatio-Temporal Drivers of Extreme Events
Neural Information Processing Systems (NeurIPS), 2024
Mohamad Hakam Shams Eddin
Juergen Gall
AI4TS
304
0
0
31 Oct 2024
DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting
Pratik Shukla
Milton Halem
AI4Cl
AI4CE
216
2
0
12 Aug 2024
FuXi Weather: An end-to-end machine learning weather data assimilation and forecasting system
Xiuyu Sun
Xiaohui Zhong
Xiaoze Xu
Yuanqing Huang
Hao Li
Jie Feng
Wei Han
Libo Wu
Yuan Qi
AI4Cl
284
1
0
10 Aug 2024
Using Explainable AI and Transfer Learning to understand and predict the maintenance of Atlantic blocking with limited observational data
Huan Zhang
J. Finkel
D. Abbot
Edwin P. Gerber
Jonathan Weare
255
4
0
12 Apr 2024
DMLR: Data-centric Machine Learning Research -- Past, Present and Future
Luis Oala
M. Maskey
Lilith Bat-Leah
Alicia Parrish
Nezihe Merve Gürel
...
Lora Aroyo
Ce Zhang
Joaquin Vanschoren
Isabelle Guyon
Peter Mattson
AI4CE
270
17
0
21 Nov 2023
Understanding CNN Hidden Neuron Activations Using Structured Background Knowledge and Deductive Reasoning
Abhilekha Dalal
Md Kamruzzaman Sarker
Adrita Barua
Eugene Y. Vasserman
Pascal Hitzler
FAtt
239
2
0
08 Aug 2023
Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting
Spatial Statistics (Spat. Stat.), 2023
Pratik Nag
Ying Sun
Brian J. Reich
182
31
0
20 Jun 2023
Graph Neural Rough Differential Equations for Traffic Forecasting
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
Jeongwhan Choi
Noseong Park
AI4TS
207
30
0
20 Mar 2023
Explaining Deep Learning Hidden Neuron Activations using Concept Induction
Abhilekha Dalal
Md Kamruzzaman Sarker
Adrita Barua
Pascal Hitzler
FAtt
111
2
0
23 Jan 2023
Adversarial training with informed data selection
European Signal Processing Conference (EUSIPCO), 2022
Marcele O. K. Mendonça
Javier Maroto
P. Frossard
P. Diniz
AAML
109
5
0
07 Jan 2023
Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach
Rikhi Bose
A. Pintar
E. Simiu
115
2
0
12 Aug 2022
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data
Physical Review Fluids (PRFluids), 2022
G. Miloshevich
Bastien Cozian
P. Abry
Pierre Borgnat
F. Bouchet
AI4CE
296
38
0
01 Aug 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction
Taehyeon Kim
Namgyu Ho
Donggyu Kim
Se-Young Yun
BDL
221
8
0
30 Jun 2022
Integrating Random Effects in Deep Neural Networks
Journal of machine learning research (JMLR), 2022
Giora Simchoni
Saharon Rosset
BDL
AI4CE
344
26
0
07 Jun 2022
Recognition of polar lows in Sentinel-1 SAR images with deep learning
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
J. Grahn
F. Bianchi
259
3
0
30 Mar 2022
Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet
Björn W. Schuller
Ali Akman
Yi-Fen Chang
H. Coppock
Alexander Gebhard
Alexander Kathan
Esther Rituerto-González
Andreas Triantafyllopoulos
Florian B. Pokorny
198
1
0
10 Mar 2022
Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data
Scientific Reports (Sci Rep), 2022
A. H. Nielsen
Alexandros Iosifidis
H. Karstoft
AI4Cl
AI4CE
281
9
0
10 Feb 2022
Extreme precipitation forecasting using attention augmented convolutions
Weichen Huang
120
2
0
31 Jan 2022
Graph Neural Controlled Differential Equations for Traffic Forecasting
Jeongwhan Choi
Hwangyong Choi
JeeHyun Hwang
Noseong Park
BDL
AI4TS
267
380
1
07 Dec 2021
Climate Modeling with Neural Diffusion Equations
Industrial Conference on Data Mining (IDM), 2021
JeeHyun Hwang
Jeongwhan Choi
Hwan-Kyu Choi
Kookjin Lee
Dongeun Lee
Noseong Park
DiffM
189
28
0
11 Nov 2021
Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach
M. Mittermeier
M. Weigert
David Rügamer
82
0
0
09 Nov 2021
A Spatial Agent-Based Model for Preemptive Evacuation Decisions During Typhoon
Rey C. Rodrigueza
Maria Regina Justina E. Estuar
35
21
0
29 Sep 2021
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration
Sijie He
Xinyan Li
L. Trenary
B. Cash
T. DelSole
Arindam Banerjee
AI4TS
203
18
0
29 Sep 2021
Exploring Spatial Indexing for Accelerated Feature Retrieval in HPC
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021
Margaret Lawson
W. Gropp
J. Lofstead
117
2
0
26 Jun 2021
Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks
Alexis Ayala
Christopher Drazic
Brian Hutchinson
Ben Kravitz
Claudia Tebaldi
GAN
AI4Cl
AI4CE
164
6
0
29 Apr 2021
Recognizing a Spatial Extreme dependence structure: A Deep Learning approach
Manaf Ahmed
Véronique Maume-Deschamps
Pierre Ribereau
119
14
0
19 Mar 2021
Deep Learning-based Extreme Heatwave Forecast
Frontiers in Climate (FC), 2021
Valérian Jacques-Dumas
Francesco Ragone
Pierre Borgnat
P. Abry
F. Bouchet
AI4CE
336
64
0
17 Mar 2021
Routing algorithms as tools for integrating social distancing with emergency evacuation
Scientific Reports (Sci Rep), 2021
Yi-Lin Tsai
Chetanya Rastogi
P. Kitanidis
C. Field
222
14
0
05 Mar 2021
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods
Proceedings of the Royal Society A (Proc. R. Soc. A), 2021
B. Hamzi
R. Maulik
H. Owhadi
AI4TS
262
31
0
13 Feb 2021
A Survey on Mathematical Aspects of Machine Learning in GeoPhysics: The Cases of Weather Forecast, Wind Energy, Wave Energy, Oil and Gas Exploration
Mediterranean Conference on Embedded Computing (MECO), 2021
Miroslav Kosanic
V. Milutinovic
AI4CE
115
3
0
05 Feb 2021
Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions
Mikhail Krinitskiy
P. Verezemskaya
S. Elizarov
S. Gulev
83
2
0
09 Nov 2020
A Markov Decision Process Approach to Active Meta Learning
Bingjia Wang
Alec Koppel
Vikram Krishnamurthy
77
1
0
10 Sep 2020
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning
Federico Amato
Fabian Guignard
Sylvain Robert
M. Kanevski
AI4Cl
AI4CE
207
3
0
23 Jul 2020
Statistical post-processing of wind speed forecasts using convolutional neural networks
Monthly Weather Review (MWR), 2020
S. Veldkamp
K. Whan
S. Dirksen
M. Schmeits
93
11
0
08 Jul 2020
Deploying Scientific AI Networks at Petaflop Scale on Secure Large Scale HPC Production Systems with Containers
D. Brayford
S. Vallecorsa
94
8
0
20 May 2020
Deep Learning for Post-Processing Ensemble Weather Forecasts
Peter Grönquist
Chengyuan Yao
Tal Ben-Nun
Nikoli Dryden
P. Dueben
Shigang Li
Torsten Hoefler
224
189
0
18 May 2020
CFDNet: a deep learning-based accelerator for fluid simulations
Octavi Obiols-Sales
Abhinav Vishnu
Nicholas Malaya
Aparna Chandramowlishwaran
AI4CE
154
169
0
09 May 2020
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere
Journal of Advances in Modeling Earth Systems (JAMES), 2020
Jonathan A. Weyn
Dale Durran
R. Caruana
AI4Cl
154
314
0
15 Mar 2020
Physics-informed semantic inpainting: Application to geostatistical modeling
Journal of Computational Physics (JCP), 2019
Q. Zheng
L. Zeng
Zhendan Cao
George Karniadakis
GAN
120
63
0
19 Sep 2019
Distributed Deep Learning for Precipitation Nowcasting
IEEE Conference on High Performance Extreme Computing (HPEC), 2019
S. Samsi
Christopher J. Mattioli
Mark S. Veillette
226
26
0
28 Aug 2019
Recurrent U-net: Deep learning to predict daily summertime ozone in the United States
Tai-Long He
Dylan B. A. Jones
Binxuan Huang
Yuyang Liu
K. Miyazaki
Zhe Jiang
E. White
H. Worden
J. Worden
AI4Cl
97
2
0
16 Aug 2019
HPC AI500: A Benchmark Suite for HPC AI Systems
BenchCouncil International Symposium (ISB), 2018
Zihan Jiang
Wanling Gao
Lei Wang
Xingwang Xiong
Yuchen Zhang
...
Yunquan Zhang
Shengzhong Feng
KenLi Li
Weijia Xu
Jianfeng Zhan
ELM
176
42
0
27 Jul 2019
Analog forecasting of extreme-causing weather patterns using deep learning
Journal of Advances in Modeling Earth Systems (JAMES), 2019
Ashesh Chattopadhyay
Ebrahim Nabizadeh
Pedram Hassanzadeh
271
165
0
26 Jul 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Senzhang Wang
Jiannong Cao
Philip S. Yu
AI4TS
289
712
0
11 Jun 2019
Tackling Climate Change with Machine Learning
ACM Computing Surveys (ACM CSUR), 2019
David Rolnick
P. Donti
L. Kaack
K. Kochanski
Alexandre Lacoste
...
Demis Hassabis
John C. Platt
F. Creutzig
J. Chayes
Yoshua Bengio
AI4Cl
AI4CE
361
978
0
10 Jun 2019
Combining crowd-sourcing and deep learning to explore the meso-scale organization of shallow convection
Bulletin of The American Meteorological Society - (BAMS) (BAMS), 2019
S. Rasp
H. Schulz
S. Bony
B. Stevens
280
60
0
05 Jun 2019
Identification of synoptic weather types over Taiwan area with multiple classifiers
Atmospheric Science Letters (AS), 2018
S. Su
Jung‐Lien Chu
Ting-Shuo Yo
Lee-Yaw Lin
122
14
0
21 May 2019
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