:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Suwanwimolkul, Suwichaya, Tongamrak, Natanon, Thungka, Nuttamon, Hoonchareon, Naebboon, Songsiri, Jitkomut
Format:	Preprint
Published:	2024
Subjects:	Atmospheric and Oceanic Physics Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2409.16320
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic EMS for Optimal 24/7 Carbon-Free Energy Operations
by: Tongamrak, Natanon, et al.
Published: (2026)

Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery
by: Lagerquist, Ryan, et al.
Published: (2024)

Machine-learned cloud classes from satellite data for process-oriented climate model evaluation
by: Kaps, A., et al.
Published: (2022)

Causally-informed deep learning to improve climate models and projections
by: Iglesias-Suarez, Fernando, et al.
Published: (2023)

Sea ice floe segmentation in close-range optical imagery using active contour and foundation models
by: Passerotti, Giulio, et al.
Published: (2024)

Assessing the ability of a stretched-grid deep-learning weather prediction model to capture physical balances
by: Pasquini, Francesco, et al.
Published: (2026)

A deep-learning model for predicting daily PM2.5 concentration in response to emission reduction
by: Liu, Shigan, et al.
Published: (2025)

NWP-based deep learning for tropical cyclone intensity prediction
by: Kieu, Chanh, et al.
Published: (2025)

OTProf: estimating high-resolution profiles of optical turbulence ($C_n^2$) from reanalysis using deep learning
by: Pierzyna, Maximilian, et al.
Published: (2026)

Inductive biases in deep learning models for weather prediction
by: Thuemmel, Jannik, et al.
Published: (2023)

Accurate Mediterranean Sea forecasting via graph-based deep learning
by: Holmberg, Daniel, et al.
Published: (2025)

Quantifying urban and landfill methane emissions in the United States using TROPOMI satellite data
by: Wang, Xiaolin, et al.
Published: (2025)

FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts
by: Guo, Shan, et al.
Published: (2025)

Seasonal forecasting using the GenCast probabilistic machine learning model
by: Antonio, Bobby, et al.
Published: (2025)

Leveraging deterministic weather forecasts for in-situ probabilistic temperature predictions via deep learning
by: Landry, David, et al.
Published: (2024)

Utilizing smartphone sensors for accurate solar irradiance measurement and educational purposes
by: Di Laccio, José Luis, et al.
Published: (2023)

Combining a ground-based UV network with satellite maps: A case study for Germany
by: Klotz, Barbara, et al.
Published: (2024)

Enhanced continuous aerosol optical depth (AOD) estimation using geostationary satellite data: focusing on nighttime AOD over East Asia
by: Song, Sanghyeon, et al.
Published: (2024)

Automatic detection of overshooting tops and their properties from visible satellite channels
by: Doležalová, Anežka, et al.
Published: (2025)

A minimal model of the deep-convection lifecycle and its verification in remote-sensing observations
by: Bölle, Tobias, et al.
Published: (2024)

Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning
by: Gregory, William, et al.
Published: (2025)

Evaluating satellite and reanalysis rainfall estimates for climate services in agriculture: a comprehensive methodology
by: Parsons, Danny, et al.
Published: (2025)

Influx of Bay of Bengal waters and stirring trends in the Arabian Sea based on satellite altimetry
by: Paul, Nihar, et al.
Published: (2025)

High-resolution ensemble retrieval of cloud properties for all-day based on geostationary satellite
by: Xiao, Haixia, et al.
Published: (2024)

Contributions of greenhouse gases and solar activity to global climate change from CMIP6 models simulations
by: Mokhov, Igor I., et al.
Published: (2024)

An update to ECMWF's machine-learned weather forecast model AIFS
by: Moldovan, Gabriel, et al.
Published: (2025)

Tidal motions in the deep Mediterranean
by: van Haren, Hans
Published: (2026)

Robust intensification of global ocean Eddy Kinetic Energy from three decades of satellite altimetry observations
by: Barceló-Llull, Bàrbara, et al.
Published: (2024)

Stratified-turbulence observations in the deep Mediterranean
by: van Haren, Hans
Published: (2026)

Hybrid physics-data-driven modeling for sea ice thermodynamics and transfer learning
by: De Cillis, Giovanni, et al.
Published: (2026)

Neural general circulation models optimized to predict satellite-based precipitation observations
by: Yuval, Janni, et al.
Published: (2024)

Integrating mobile and fixed monitoring data for high-resolution PM2.5 mapping using machine learning
by: Xu, Rui, et al.
Published: (2025)

Rainfall forecasts in daily use over East Africa improved by machine learning
by: Cooper, Fenwick C., et al.
Published: (2025)

Hybrid weather prediction using spectral nudging toward machine-learning forecasts
by: Polichtchouk, I., et al.
Published: (2026)

Uncertainty in wind and solar projections depends on global and regional climate models
by: Effenberger, Nina, et al.
Published: (2026)

Improving forecasts of precipitation extremes over Northern and Central Italy using machine learning
by: Grazzini, Federico, et al.
Published: (2024)

Projecting U.S. coastal storm surge risks and impacts with deep learning
by: Rice, Julian R., et al.
Published: (2025)

Reconstruction of Antarctic sea ice thickness from sparse satellite laser altimetry data using a partial convolutional neural network
by: Ma, Ziqi, et al.
Published: (2025)

Machine learning disentangles bias causes of shortwave cloud radiative effect in a climate model
by: Yang, Hongtao, et al.
Published: (2024)

Revealing recurrent regimes of mid-latitude atmospheric variability using novel machine learning method
by: Mukhin, Dmitry, et al.
Published: (2024)