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DeepDownscale: a Deep Learning Strategy for High-Resolution Weather
  Forecast

DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast

15 August 2018
Eduardo Rodrigues
Igor Oliveira
R. L. F. Cunha
M. Netto
ArXivPDFHTML

Papers citing "DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast"

14 / 14 papers shown
Title
Efficient High-Resolution Deep Learning: A Survey
Efficient High-Resolution Deep Learning: A Survey
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
MedIm
21
19
0
26 Jul 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
Rotationally Equivariant Super-Resolution of Velocity Fields in
  Two-Dimensional Fluids Using Convolutional Neural Networks
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks
Y. Yasuda
R. Onishi
25
6
0
22 Feb 2022
Solving Image PDEs with a Shallow Network
Solving Image PDEs with a Shallow Network
Pascal Getreuer
P. Milanfar
Xiyang Luo
37
1
0
15 Oct 2021
Super-resolution data assimilation
Super-resolution data assimilation
Sébastien Barthélémy
J. Brajard
Laurent Bertino
F. Counillon
AI4Cl
16
26
0
04 Sep 2021
Multistream Graph Attention Networks for Wind Speed Forecasting
Multistream Graph Attention Networks for Wind Speed Forecasting
Dogan Aykas
S. Mehrkanoon
AI4TS
32
20
0
16 Aug 2021
A Comprehensive Review of Computer-aided Whole-slide Image Analysis:
  from Datasets to Feature Extraction, Segmentation, Classification, and
  Detection Approaches
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
Chen Li
Xintong Li
M. Rahaman
Xirong Li
Hongzan Sun
...
Yong Zhang
Xiaoqi Li
Jian Wu
Yudong Yao
M. Grzegorzek
41
192
0
21 Feb 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
11
28
0
13 Feb 2021
Workflow Provenance in the Lifecycle of Scientific Machine Learning
Workflow Provenance in the Lifecycle of Scientific Machine Learning
Renan Souza
L. Azevedo
Vítor Lourencco
E. Soares
R. Thiago
...
M. Moreno
P. Valduriez
M. Mattoso
Renato F. G. Cerqueira
M. Netto
AI4TS
AI4CE
29
31
0
30 Sep 2020
Modeling Wildfire Perimeter Evolution using Deep Neural Networks
Modeling Wildfire Perimeter Evolution using Deep Neural Networks
Maxfield E. Green
K. Kaiser
Nat Shenton
10
5
0
08 Sep 2020
Wind speed prediction using multidimensional convolutional neural
  networks
Wind speed prediction using multidimensional convolutional neural networks
Kevin Trebing
S. Mehrkanoon
33
39
0
04 Jul 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
Probabilistic Forecasting of Sensory Data with Generative Adversarial
  Networks - ForGAN
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN
Alireza Koochali
P. Schichtel
Sheraz Ahmed
Andreas Dengel
AI4TS
22
72
0
29 Mar 2019
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
225
5,176
0
16 Sep 2016
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