Cover Image

Precipitation Prediction Using an Ensemble of Lightweight Learners

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xinzhe, Rui, Sun, Niu, Yiming, Liu, Yao
Format:	Preprint
Published:	2023
Subjects:	Atmospheric and Oceanic Physics Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Forecasting formation of a Tropical Cyclone Using Reanalysis Data
by: Kumar, Sandeep, et al.
Published: (2022)

Downscaling Precipitation with Bias-informed Conditional Diffusion Model
by: Lyu, Ran, et al.
Published: (2024)

Precipitation Downscaling with Spatiotemporal Video Diffusion
by: Srivastava, Prakhar, et al.
Published: (2023)

WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning
by: Zhao, Xiangyu, et al.
Published: (2024)

Generating Unseen Nonlinear Evolution in Sea Surface Temperature Using a Deep Learning-Based Latent Space Data Assimilation Framework
by: Zheng, Qingyu, et al.
Published: (2024)

AtmosMJ: Revisiting Gating Mechanism for AI Weather Forecasting Beyond the Year Scale
by: Cheon, Minjong
Published: (2025)

Sonny: Breaking the Compute Wall in Medium-Range Weather Forecasting
by: Cheon, Minjong
Published: (2026)

Self Supervised Vision for Climate Downscaling
by: Singh, Karandeep, et al.
Published: (2024)

(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
by: Zhdanov, Maksim, et al.
Published: (2026)

Beyond Linear Superposition: Discovering Climate Features in AI Weather Models with KAN-SAE
by: Cheon, Minjong
Published: (2026)

WeatherFormer: A Pretrained Encoder Model for Learning Robust Weather Representations from Small Datasets
by: Hasan, Adib, et al.
Published: (2024)

Developing a Thailand solar irradiance map using Himawari-8 satellite imageries and deep learning models
by: Suwanwimolkul, Suwichaya, et al.
Published: (2024)

Mjölnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density
by: Cheon, Minjong
Published: (2025)

Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency
by: Cheon, Minjong, et al.
Published: (2025)

KARINA: An Efficient Deep Learning Model for Global Weather Forecast
by: Cheon, Minjong, et al.
Published: (2024)

Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture
by: Rahimi, Reyhaneh, et al.
Published: (2023)

How Effective Are Time-Series Models for Precipitation Nowcasting? A Comprehensive Benchmark for GNSS-based Precipitation Nowcasting
by: Zhang, Yifang, et al.
Published: (2025)

CNN-based Surface Temperature Forecasts with Ensemble Numerical Weather Prediction
by: Inoue, Takuya, et al.
Published: (2025)

Advanced Torrential Loss Function for Precipitation Forecasting
by: Choi, Jaeho, et al.
Published: (2025)

FLASHμ: Fast Localizing And Sizing of Holographic Microparticles
by: Paliwal, Ayush, et al.
Published: (2025)

PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks
by: Zhu, Shengchen, et al.
Published: (2024)

MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space Modeling
by: Liu, Zili, et al.
Published: (2024)

Hierarchical Information-sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity
by: Koo, Younghyun, et al.
Published: (2023)

TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
by: Huang, Cheng, et al.
Published: (2024)

On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
by: Fu, Yisong, et al.
Published: (2024)

Latent Diffusion Model for Generating Ensembles of Climate Simulations
by: Meuer, Johannes, et al.
Published: (2024)

Improving Significant Wave Height Prediction Using Chronos Models
by: Zhai, Yilin, et al.
Published: (2025)

AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts
by: Wen, Yingpeng, et al.
Published: (2023)

CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks
by: Jeon, Hyeon-Ju, et al.
Published: (2024)

Advancing Data-driven Weather Forecasting: Time-Sliding Data Augmentation of ERA5
by: Cheon, Minjong, et al.
Published: (2024)

Climate Variable Downscaling with Conditional Normalizing Flows
by: Winkler, Christina, et al.
Published: (2024)

SGMAGNet: A Baseline Model for 3D Cloud Phase Structure Reconstruction on a New Passive Active Satellite Benchmark
by: Yang, Chi, et al.
Published: (2025)

VN-Net: Vision-Numerical Fusion Graph Convolutional Network for Sparse Spatio-Temporal Meteorological Forecasting
by: Xiong, Yutong, et al.
Published: (2024)

A Physics-Guided AI Cascaded Corrector Model Significantly Extends Madden-Julian Oscillation Prediction Skill
by: Zhou, Xiao, et al.
Published: (2025)

Benchmarking AI-based data assimilation to advance data-driven global weather forecasting
by: Wang, Wuxin, et al.
Published: (2024)

Interpretable Machine Learning for Weather and Climate Prediction: A Survey
by: Yang, Ruyi, et al.
Published: (2024)

A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery
by: Ko, Joseph, et al.
Published: (2025)

FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling
by: Huang, Qiusheng, et al.
Published: (2025)

Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting
by: Han, Tao, et al.
Published: (2024)

VISION: Prompting Ocean Vertical Velocity Reconstruction from Incomplete Observations
by: Gao, Yuan, et al.
Published: (2025)