Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1706.03458
Cited By
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
12 June 2017
Xingjian Shi
Zhihan Gao
Leonard Lausen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"
25 / 25 papers shown
Title
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Spatiotemporal Prediction
Han Wan
Qi Wang
Hao Sun
Hao Sun
AI4CE
42
0
0
13 Mar 2025
MAUCell: An Adaptive Multi-Attention Framework for Video Frame Prediction
Shreyam Gupta
P. Agrawal
Priyam Gupta
57
0
0
28 Jan 2025
Extreme Precipitation Nowcasting using Multi-Task Latent Diffusion Models
Li Chaorong
Ling Xudong
Yang Qiang
Qin Fengqing
Huang Yuanyuan
25
0
0
18 Oct 2024
Translation-based Video-to-Video Synthesis
Pratim Saha
Chengcui Zhang
DiffM
18
1
0
03 Apr 2024
SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model
Xudong Ling
Chaorong Li
Fengqing Qin
Peng Yang
Yuanyuan Huang
DiffM
AI4Cl
28
5
0
21 Feb 2024
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
Demin Yu
Xutao Li
Yunming Ye
Baoquan Zhang
Chuyao Luo
Kuai Dai
Rui Wang
Xunlai Chen
12
19
0
11 Dec 2023
Conformal Contextual Robust Optimization
Yash P. Patel
Sahana Rayan
Ambuj Tewari
19
15
0
16 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
10
9
0
08 Oct 2023
Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture
Reyhaneh Rahimi
Praveen Ravirathinam
A. Ebtehaj
A. Behrangi
J. Tan
Vipin Kumar
AI4Cl
11
4
0
20 Jul 2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Zhihan Gao
Xingjian Shi
Boran Han
Hongya Wang
Xiaoyong Jin
Danielle C. Maddix
Yi Zhu
Mu Li
Bernie Wang
BDL
DiffM
10
53
0
19 Jul 2023
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
23
4
0
06 Apr 2023
An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation
Yichao Lu
14
1
0
21 Feb 2023
Mixed moving average field guided learning for spatio-temporal data
I. Curato
O. Furat
Lorenzo Proietti
Bennet Stroeh
AI4TS
13
2
0
02 Jan 2023
PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting
Jaeho Choi
Yura Kim
Kwang-Ho Kim
Sung-Hwa Jung
Ikhyun Cho
14
2
0
28 Nov 2022
Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach
Rikhi Bose
A. Pintar
E. Simiu
8
2
0
12 Aug 2022
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Zhihan Gao
Xingjian Shi
Hao Wang
Yi Zhu
Yuyang Wang
Mu Li
Dit-Yan Yeung
AI4TS
13
144
0
12 Jul 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
Cheng Tan
Zhangyang Gao
Lirong Wu
Yongjie Xu
Jun-Xiong Xia
Siyuan Li
Stan Z. Li
19
102
0
24 Jun 2022
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation
Yuan Hu
Lei Chen
Zhibin Wang
Hao Li
OOD
9
45
0
26 May 2022
MMINR: Multi-frame-to-Multi-frame Inference with Noise Resistance for Precipitation Nowcasting with Radar
Feng Sun
Cong Bai
11
1
0
05 May 2022
MSPred: Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks
Angel Villar-Corrales
Ani J. Karapetyan
Andreas Boltres
Sven Behnke
11
11
0
17 Mar 2022
Effective Training Strategies for Deep-learning-based Precipitation Nowcasting and Estimation
Jihoon Ko
Kyuhan Lee
Hyun-Sun Hwang
Seok-Geun Oh
S. Son
Kijung Shin
AI4Cl
28
38
0
17 Feb 2022
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
14
14
0
29 Sep 2021
Routing algorithms as tools for integrating social distancing with emergency evacuation
Yi-Lin Tsai
Chetanya Rastogi
P. Kitanidis
C. Field
15
9
0
05 Mar 2021
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances
Sijie He
Xinyan Li
T. DelSole
Pradeep Ravikumar
A. Banerjee
AI4Cl
6
41
0
14 Jun 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
188
7,816
0
13 Jun 2015
1