Imagen de Portada

Global versus Local: Evaluating AlexNet Architectures for Tropical Cyclone Intensity Estimation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Dwivedi, Vikas
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Computer Vision and Pattern Recognition Atmospheric and Oceanic Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Global 3D Reconstruction of Clouds & Tropical Cyclones
por: Ermis, Shirin, et al.
Publicado: (2025)

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

Improving Tropical Cyclone Forecasting With Video Diffusion Models
por: Ren, Zhibo, et al.
Publicado: (2025)

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

Evaluation of Tropical Cyclone Track and Intensity Forecasts from Artificial Intelligence Weather Prediction (AIWP) Models
por: DeMaria, Mark, et al.
Publicado: (2024)

A Probabilistic U-Net Approach to Downscaling Climate Simulations
por: Alipourhajiagha, Maryam, et al.
Publicado: (2025)

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

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

Global monitoring of methane point sources using deep learning on hyperspectral radiance measurements from EMIT
por: Batchu, Vishal V., et al.
Publicado: (2026)

Global Forecasting of Tropical Cyclone Intensity Using Neural Weather Models
por: Gomez, Milton, et al.
Publicado: (2025)

A Visual-Analytical Approach for Automatic Detection of Cyclonic Events in Satellite Observations
por: Agrawal, Akash, et al.
Publicado: (2024)

Forecasting Tropical Cyclones with Cascaded Diffusion Models
por: Nath, Pritthijit, et al.
Publicado: (2023)

Genuine Increases in Tropical Cyclone Intensities
por: Welch, Ivo
Publicado: (2026)

DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations
por: Stock, Jason, et al.
Publicado: (2024)

Global spatio-temporal downscaling of ERA5 precipitation through generative AI
por: Glawion, Luca, et al.
Publicado: (2024)

A Review on Machine Learning Algorithms for Dust Aerosol Detection using Satellite Data
por: Rafi, Nurul, et al.
Publicado: (2024)

ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution
por: Yu, Sungduk, et al.
Publicado: (2024)

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

Atmospheric Transport Modeling of CO$_2$ with Neural Networks
por: Benson, Vitus, et al.
Publicado: (2024)

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

Neural Compression of Atmospheric States
por: Mirowski, Piotr, et al.
Publicado: (2024)

HEAL-ViT: Vision Transformers on a spherical mesh for medium-range weather forecasting
por: Ramavajjala, Vivek
Publicado: (2024)

Data-Driven Invertible Neural Surrogates of Atmospheric Transmission
por: Koch, James, et al.
Publicado: (2024)

Stochastic Flow Matching for Resolving Small-Scale Physics
por: Fotiadis, Stathi, et al.
Publicado: (2024)

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

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

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

Partial recovery of meter-scale surface weather
por: Giezendanner, Jonathan, et al.
Publicado: (2026)

AI-driven multi-source data fusion for algal bloom severity classification in small inland water bodies: Leveraging Sentinel-2, DEM, and NOAA climate data
por: Nasios, Ioannis
Publicado: (2025)

Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data
por: Lehmann, Nils, et al.
Publicado: (2024)

A Synergistic Approach: Dynamics-AI Ensemble in Tropical Cyclone Forecasting
por: Li, Yonghui, et al.
Publicado: (2026)

Identifying Three-Dimensional Radiative Patterns Associated with Early Tropical Cyclone Intensification
por: Tam, Frederick Iat-Hin, et al.
Publicado: (2024)

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

SynopticBench: Evaluating Vision-Language Models on Generating Weather Forecast Discussions of the Future
por: Higgins, Timothy B., et al.
Publicado: (2026)

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

Predicting Tropical Cyclone Track Forecast Errors using a Probabilistic Neural Network
por: Fernandez, M. A., et al.
Publicado: (2025)

Climate Downscaling of Tropical Cyclone Intensity using Deep Learning
por: Luong, Minh-Khanh, et al.
Publicado: (2025)

Simulating Nighttime Visible Satellite Imagery of Tropical Cyclones Using Conditional Generative Adversarial Networks
por: Yao, Jinghuai, et al.
Publicado: (2024)

Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model
por: Zhang, Gan, et al.
Publicado: (2025)

A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
por: Nakamura, Jennifer, et al.
Publicado: (2026)