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Application of Deep Convolutional Neural Networks for Detecting Extreme
  Weather in Climate Datasets

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
ArXivPDFHTML

Papers citing "Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets"

28 / 28 papers shown
Title
Using Explainable AI and Transfer Learning to understand and predict the
  maintenance of Atlantic blocking with limited observational data
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
29
2
0
12 Apr 2024
Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning
  Approach
Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach
Rikhi Bose
A. Pintar
E. Simiu
39
2
0
12 Aug 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the
  Numerical Weather Prediction
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction
Taehyeon Kim
Namgyu Ho
Donggyu Kim
Se-Young Yun
BDL
20
6
0
30 Jun 2022
Integrating Random Effects in Deep Neural Networks
Integrating Random Effects in Deep Neural Networks
Giora Simchoni
Saharon Rosset
BDL
AI4CE
35
21
0
07 Jun 2022
Recognition of polar lows in Sentinel-1 SAR images with deep learning
Recognition of polar lows in Sentinel-1 SAR images with deep learning
J. Grahn
F. Bianchi
38
3
0
30 Mar 2022
Climate Change & Computer Audition: A Call to Action and Overview on
  Audio Intelligence to Help Save the Planet
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
38
1
0
10 Mar 2022
Climate Modeling with Neural Diffusion Equations
Climate Modeling with Neural Diffusion Equations
JeeHyun Hwang
Jeongwhan Choi
Hwan-Kyu Choi
Kookjin Lee
Dongeun Lee
Noseong Park
DiffM
29
22
0
11 Nov 2021
Identifying the atmospheric drivers of drought and heat using a smoothed
  deep learning approach
Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach
M. Mittermeier
M. Weigert
David Rügamer
26
0
0
09 Nov 2021
Learning and Dynamical Models for Sub-seasonal Climate Forecasting:
  Comparison and Collaboration
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
30
14
0
29 Sep 2021
Loosely Conditioned Emulation of Global Climate Models With Generative
  Adversarial Networks
Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks
Alexis Ayala
Christopher Drazic
Brian Hutchinson
Ben Kravitz
Claudia Tebaldi
GAN
AI4Cl
AI4CE
33
6
0
29 Apr 2021
Routing algorithms as tools for integrating social distancing with
  emergency evacuation
Routing algorithms as tools for integrating social distancing with emergency evacuation
Yi-Lin Tsai
Chetanya Rastogi
P. Kitanidis
C. Field
28
10
0
05 Mar 2021
Data-driven geophysical forecasting: Simple, low-cost, and accurate
  baselines with kernel methods
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods
B. Hamzi
R. Maulik
H. Owhadi
AI4TS
14
28
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
A Survey on Mathematical Aspects of Machine Learning in GeoPhysics: The Cases of Weather Forecast, Wind Energy, Wave Energy, Oil and Gas Exploration
Miroslav Kosanic
V. Milutinovic
AI4CE
18
3
0
05 Feb 2021
A Novel Framework for Spatio-Temporal Prediction of Environmental Data
  Using Deep Learning
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning
Federico Amato
Fabian Guignard
Sylvain Robert
M. Kanevski
AI4Cl
AI4CE
24
3
0
23 Jul 2020
Deploying Scientific AI Networks at Petaflop Scale on Secure Large Scale
  HPC Production Systems with Containers
Deploying Scientific AI Networks at Petaflop Scale on Secure Large Scale HPC Production Systems with Containers
D. Brayford
S. Vallecorsa
14
8
0
20 May 2020
Deep Learning for Post-Processing Ensemble Weather Forecasts
Deep Learning for Post-Processing Ensemble Weather Forecasts
Peter Grönquist
Chengyuan Yao
Tal Ben-Nun
Nikoli Dryden
P. Dueben
Shigang Li
Torsten Hoefler
17
165
0
18 May 2020
Improving data-driven global weather prediction using deep convolutional
  neural networks on a cubed sphere
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere
Jonathan A. Weyn
Dale Durran
R. Caruana
AI4Cl
29
257
0
15 Mar 2020
Distributed Deep Learning for Precipitation Nowcasting
Distributed Deep Learning for Precipitation Nowcasting
S. Samsi
Christopher J. Mattioli
Mark S. Veillette
35
23
0
28 Aug 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey
Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang
Jiannong Cao
Philip S. Yu
AI4TS
26
551
0
11 Jun 2019
Tackling Climate Change with Machine Learning
Tackling Climate Change with Machine Learning
David Rolnick
P. Donti
L. Kaack
K. Kochanski
Alexandre Lacoste
...
Demis Hassabis
John C. Platt
F. Creutzig
J. Chayes
Yoshua Bengio
AI4Cl
AI4CE
33
786
0
10 Jun 2019
Combining crowd-sourcing and deep learning to explore the meso-scale
  organization of shallow convection
Combining crowd-sourcing and deep learning to explore the meso-scale organization of shallow convection
S. Rasp
H. Schulz
S. Bony
B. Stevens
24
54
0
05 Jun 2019
Exascale Deep Learning for Climate Analytics
Exascale Deep Learning for Climate Analytics
Thorsten Kurth
Sean Treichler
Josh Romero
M. Mudigonda
Nathan Luehr
...
Michael A. Matheson
J. Deslippe
M. Fatica
P. Prabhat
Michael Houston
BDL
17
260
0
03 Oct 2018
Improving Subseasonal Forecasting in the Western U.S. with Machine
  Learning
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning
Jessica Hwang
Paulo Orenstein
J. Cohen
K. Pfeiffer
Lester W. Mackey
AI4Cl
10
72
0
19 Sep 2018
Neural networks for post-processing ensemble weather forecasts
Neural networks for post-processing ensemble weather forecasts
S. Rasp
Sebastian Lerch
23
343
0
23 May 2018
A trans-disciplinary review of deep learning research for water
  resources scientists
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
AI4CE
33
682
0
06 Dec 2017
What does fault tolerant Deep Learning need from MPI?
What does fault tolerant Deep Learning need from MPI?
Vinay C. Amatya
Abhinav Vishnu
Charles Siegel
J. Daily
28
19
0
11 Sep 2017
ExtremeWeather: A large-scale climate dataset for semi-supervised
  detection, localization, and understanding of extreme weather events
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah
Christopher Beckham
Tegan Maharaj
Samira Ebrahimi Kahou
P. Prabhat
C. Pal
19
18
0
07 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
239
7,916
0
13 Jun 2015
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