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  3. 1808.05264
  4. Cited By
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
ArXiv (abs)PDFHTML

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

27 / 27 papers shown
On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling
On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling
P. Harder
Christian Lessig
Matthew Chantry
Francis Pelletier
David Rolnick
AI4Cl
178
0
0
01 Dec 2025
IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India
IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India
Tung Nguyen
Harkanwar Singh
Nilay Naharas
Lucas Bandarkar
Aditya Grover
AI4Cl
188
0
0
31 Aug 2025
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model
Period-LLM: Extending the Periodic Capability of Multimodal Large Language ModelComputer Vision and Pattern Recognition (CVPR), 2025
Yuting Zhang
Hao Lu
Qingyong Hu
Yin Wang
Kaishen Yuan
Xin Liu
Kaishun Wu
MLLMLRM
241
4
0
30 May 2025
MambaDS: Near-Surface Meteorological Field Downscaling with Topography
  Constrained Selective State Space Modeling
MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space ModelingIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Zili Liu
Hao Chen
Lei Bai
Wenyuan Li
Wanli Ouyang
Zhengxia Zou
Zhenwei Shi
Mamba
251
14
0
20 Aug 2024
DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly,
  Seasonal and Annual Climate Forecasting
DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting
Pratik Shukla
Milton Halem
AI4ClAI4CE
216
2
0
12 Aug 2024
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting
Alireza Koochali
Ensiye Tahaei
Andreas Dengel
Sheraz Ahmed
AI4TS
177
7
0
07 May 2024
ClimateLearn: Benchmarking Machine Learning for Weather and Climate
  Modeling
ClimateLearn: Benchmarking Machine Learning for Weather and Climate ModelingNeural Information Processing Systems (NeurIPS), 2023
Tung Nguyen
Jason Jewik
Hritik Bansal
Prakhar Sharma
Aditya Grover
AI4ClAI4CE
226
49
0
04 Jul 2023
Evaluating Loss Functions and Learning Data Pre-Processing for Climate
  Downscaling Deep Learning Models
Evaluating Loss Functions and Learning Data Pre-Processing for Climate Downscaling Deep Learning Models
Xingying Huang
117
0
0
19 Jun 2023
ClimaX: A foundation model for weather and climate
ClimaX: A foundation model for weather and climateInternational Conference on Machine Learning (ICML), 2023
Tung Nguyen
Johannes Brandstetter
Ashish Kapoor
Jayesh K. Gupta
Aditya Grover
AI4ClAI4CE
583
372
0
24 Jan 2023
Efficient High-Resolution Deep Learning: A Survey
Efficient High-Resolution Deep Learning: A SurveyACM Computing Surveys (ACM CSUR), 2022
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
MedIm
361
33
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
221
8
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 NetworksAPL Machine Learning (AML), 2022
Y. Yasuda
R. Onishi
347
7
0
22 Feb 2022
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A
  Case Study on CRPS-Sum Discrimination Ability
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination AbilityApplied Sciences (Appl. Sci.), 2022
Alireza Koochali
P. Schichtel
Andreas Dengel
Sheraz Ahmed
146
12
0
21 Jan 2022
Solving Image PDEs with a Shallow Network
Solving Image PDEs with a Shallow Network
Pascal Getreuer
P. Milanfar
Xiyang Luo
169
1
0
15 Oct 2021
Super-resolution data assimilation
Super-resolution data assimilation
Sébastien Barthélémy
J. Brajard
Laurent Bertino
F. Counillon
AI4Cl
149
37
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
232
23
0
16 Aug 2021
Decadal Forecasts with ResDMD: a Residual DMD Neural Network
Decadal Forecasts with ResDMD: a Residual DMD Neural Network
Eduardo Rodrigues
Bianca Zadrozny
C. Watson
David A. Gold
AI4CE
90
3
0
21 Jun 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 ApproachesArtificial Intelligence Review (AIR), 2021
Chen Li
Xintong Li
M. Rahaman
Xirong Li
Hongzan Sun
...
Yong Zhang
Xiaoqi Li
Jian Wu
Yudong Yao
M. Grzegorzek
221
233
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 methodsProceedings of the Royal Society A (Proc. R. Soc. A), 2021
B. Hamzi
R. Maulik
H. Owhadi
AI4TS
262
31
0
13 Feb 2021
Numerical Weather Forecasting using Convolutional-LSTM with Attention
  and Context Matcher Mechanisms
Numerical Weather Forecasting using Convolutional-LSTM with Attention and Context Matcher MechanismsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Selim Furkan Tekin
Arda Fazla
Suleyman S. Kozat
AI4TS
156
14
0
01 Feb 2021
Biosensors and Machine Learning for Enhanced Detection, Stratification,
  and Classification of Cells: A Review
Biosensors and Machine Learning for Enhanced Detection, Stratification, and Classification of Cells: A ReviewBiomedical microdevices (BM), 2021
H. Raji
M. Tayyab
Jianye Sui
S. R. Mahmoodi
M. Javanmard
66
57
0
06 Jan 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
AI4TSAI4CE
170
40
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
70
7
0
08 Sep 2020
Wind speed prediction using multidimensional convolutional neural
  networks
Wind speed prediction using multidimensional convolutional neural networks
Kevin Trebing
S. Mehrkanoon
112
44
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 sphereJournal of Advances in Modeling Earth Systems (JAMES), 2020
Jonathan A. Weyn
Dale Durran
R. Caruana
AI4Cl
154
313
0
15 Mar 2020
Provenance Data in the Machine Learning Lifecycle in Computational
  Science and Engineering
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
Renan Souza
L. Azevedo
Vítor Lourenço
E. Soares
R. Thiago
...
M. Moreno
P. Valduriez
M. Mattoso
Renato F. G. Cerqueira
M. Netto
AI4TS
163
42
0
09 Oct 2019
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
130
80
0
29 Mar 2019
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