Image de couverture de livre

Developing a Thailand solar irradiance map using Himawari-8 satellite imageries and deep learning models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Suwanwimolkul, Suwichaya, Tongamrak, Natanon, Thungka, Nuttamon, Hoonchareon, Naebboon, Songsiri, Jitkomut
Format:	Preprint
Publié:	2024
Sujets:	Atmospheric and Oceanic Physics Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery
par: Lagerquist, Ryan, et autres
Publié: (2024)

Stochastic EMS for Optimal 24/7 Carbon-Free Energy Operations
par: Tongamrak, Natanon, et autres
Publié: (2026)

Machine-learned cloud classes from satellite data for process-oriented climate model evaluation
par: Kaps, A., et autres
Publié: (2022)

Causally-informed deep learning to improve climate models and projections
par: Iglesias-Suarez, Fernando, et autres
Publié: (2023)

Sea ice floe segmentation in close-range optical imagery using active contour and foundation models
par: Passerotti, Giulio, et autres
Publié: (2024)

Assessing the ability of a stretched-grid deep-learning weather prediction model to capture physical balances
par: Pasquini, Francesco, et autres
Publié: (2026)

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

NWP-based deep learning for tropical cyclone intensity prediction
par: Kieu, Chanh, et autres
Publié: (2025)

OTProf: estimating high-resolution profiles of optical turbulence ($C_n^2$) from reanalysis using deep learning
par: Pierzyna, Maximilian, et autres
Publié: (2026)

FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts
par: Guo, Shan, et autres
Publié: (2025)

Quantifying urban and landfill methane emissions in the United States using TROPOMI satellite data
par: Wang, Xiaolin, et autres
Publié: (2025)

Accurate Mediterranean Sea forecasting via graph-based deep learning
par: Holmberg, Daniel, et autres
Publié: (2025)

Seasonal forecasting using the GenCast probabilistic machine learning model
par: Antonio, Bobby, et autres
Publié: (2025)

Inductive biases in deep learning models for weather prediction
par: Thuemmel, Jannik, et autres
Publié: (2023)

Leveraging deterministic weather forecasts for in-situ probabilistic temperature predictions via deep learning
par: Landry, David, et autres
Publié: (2024)

Utilizing smartphone sensors for accurate solar irradiance measurement and educational purposes
par: Di Laccio, José Luis, et autres
Publié: (2023)

Enhanced continuous aerosol optical depth (AOD) estimation using geostationary satellite data: focusing on nighttime AOD over East Asia
par: Song, Sanghyeon, et autres
Publié: (2024)

Automatic detection of overshooting tops and their properties from visible satellite channels
par: Doležalová, Anežka, et autres
Publié: (2025)

A minimal model of the deep-convection lifecycle and its verification in remote-sensing observations
par: Bölle, Tobias, et autres
Publié: (2024)

Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning
par: Gregory, William, et autres
Publié: (2025)

Combining a ground-based UV network with satellite maps: A case study for Germany
par: Klotz, Barbara, et autres
Publié: (2024)

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

Evaluating satellite and reanalysis rainfall estimates for climate services in agriculture: a comprehensive methodology
par: Parsons, Danny, et autres
Publié: (2025)

Influx of Bay of Bengal waters and stirring trends in the Arabian Sea based on satellite altimetry
par: Paul, Nihar, et autres
Publié: (2025)

High-resolution ensemble retrieval of cloud properties for all-day based on geostationary satellite
par: Xiao, Haixia, et autres
Publié: (2024)

An update to ECMWF's machine-learned weather forecast model AIFS
par: Moldovan, Gabriel, et autres
Publié: (2025)

Tidal motions in the deep Mediterranean
par: van Haren, Hans
Publié: (2026)

Robust intensification of global ocean Eddy Kinetic Energy from three decades of satellite altimetry observations
par: Barceló-Llull, Bàrbara, et autres
Publié: (2024)

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

Hybrid physics-data-driven modeling for sea ice thermodynamics and transfer learning
par: De Cillis, Giovanni, et autres
Publié: (2026)

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

Hybrid weather prediction using spectral nudging toward machine-learning forecasts
par: Polichtchouk, I., et autres
Publié: (2026)

Improving forecasts of precipitation extremes over Northern and Central Italy using machine learning
par: Grazzini, Federico, et autres
Publié: (2024)

Uncertainty in wind and solar projections depends on global and regional climate models
par: Effenberger, Nina, et autres
Publié: (2026)

Machine learning disentangles bias causes of shortwave cloud radiative effect in a climate model
par: Yang, Hongtao, et autres
Publié: (2024)

Revealing recurrent regimes of mid-latitude atmospheric variability using novel machine learning method
par: Mukhin, Dmitry, et autres
Publié: (2024)

A methodology for realistic estimation of the aerosol impact on the solar potential
par: Blaga, Robert, et autres
Publié: (2023)

Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data
par: Kent, Chris, et autres
Publié: (2025)

Neural general circulation models optimized to predict satellite-based precipitation observations
par: Yuval, Janni, et autres
Publié: (2024)

Reconstruction of Antarctic sea ice thickness from sparse satellite laser altimetry data using a partial convolutional neural network
par: Ma, Ziqi, et autres
Publié: (2025)