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WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local
  Numerical Weather Prediction Bias-Correction
v1v2 (latest)

WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction

9 October 2023
Binqing Wu
Weiqiu Chen
Wengwei Wang
Bingqing Peng
Liang Sun
Ling Chen
ArXiv (abs)PDFHTML

Papers citing "WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction"

12 / 12 papers shown
Title
Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations
Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations
Zili Liu
Hao Chen
Junlin Wu
Wenyuan Li
Zhengxia Zou
Zhenwei Shi
127
2
0
24 Jan 2025
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models
P. Hess
Markus Drüke
S. Petri
Felix M. Strnad
Niklas Boers
103
66
0
03 Jan 2025
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond
  10 Days Lead
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
Kan Chen
Tao Han
Junchao Gong
Lei Bai
Fenghua Ling
...
Rui Su
Yuanzheng Ci
Bin Li
Xiaokang Yang
Wanli Ouyang
AI4ClAI4CE
203
189
0
06 Apr 2023
A Deep Learning Method for Real-time Bias Correction of Wind Field
  Forecasts in the Western North Pacific
A Deep Learning Method for Real-time Bias Correction of Wind Field Forecasts in the Western North Pacific
Wei Zhang
Yueyue Jiang
Junyu Dong
X. Song
Renbo Pang
Boyu Guoan
Hui Yu
AI4Cl
48
17
0
29 Dec 2022
DL-Corrector-Remapper: A grid-free bias-correction deep learning
  methodology for data-driven high-resolution global weather forecasting
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Tao Ge
Jaideep Pathak
Akshay Subramaniam
K. Kashinath
AI4Cl
91
5
0
21 Oct 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using
  Adaptive Fourier Neural Operators
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Jaideep Pathak
Shashank Subramanian
P. Harrington
S. Raja
Ashesh Chattopadhyay
...
Zong-Yi Li
Kamyar Azizzadenesheli
Pedram Hassanzadeh
K. Kashinath
Anima Anandkumar
AI4Cl
242
713
0
22 Feb 2022
Group-Aware Graph Neural Network for Nationwide City Air Quality
  Forecasting
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting
Ling-Hao Chen
Jiahui Xu
Binqing Wu
Yuntao Qian
Zhenhong Du
Yansheng Li
Jianlong Huang
AI4TS
90
42
0
27 Aug 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
Suman V. Ravuri
Karel Lenc
Matthew Willson
D. Kangin
Rémi R. Lam
...
R. Hadsell
Nial H. Robinson
Ellen Clancy
A. Arribas
S. Mohamed
AI4Cl
193
742
0
02 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
472
21,656
0
25 Mar 2021
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
818
8,597
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.1K
5,551
0
20 Dec 2018
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
572
8,017
0
13 Jun 2015
1