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#Arctic #Ny-Alesund #polarmoon #polarmoon #Arctic #Ny-Alesund #polarmoon #PolarRegions #PolarRegions ?ngström exponent A-LIFE absorption Angstrom coefficient absorption coefficients ACTRIS AERONET AERONET-cimel aerosol aerosol characterization aerosol climatology aerosol concentration aerosol events aerosol hygroscopicity aerosol impact aerosol inversion Aerosol model validation aerosol optical depth aerosol optical properties Aerosol particles aerosol pollen event aerosol products aerosol profiles Aerosol Properties Aerosol radiative effects aerosol radiative properties aerosol retrieval Aerosol vertical distribution Aerosol vertical profiles Aerosols Aerosols; Atmospheric optics agua precipitable AI Air mass back trajectories Air pollution air quality index aircraft algorithms all-sky all-sky camera All-sky imager All-sky images Angstrom Exponent annual cycle Antarctic Antarctica AOD Arctic Arctic Haze Arctic pollution artic Artificial intelligence ash-sulphuric interactions asymptotic theory athmospheric aerosols atmosphere Atmospheric Aerosol atmospheric aerosols atmospheric composition Atmospheric correction atmospheric gases aureole scans Australian fires balloon-borne measurements biomass burning Biomass burning urban industrial Black carbon brazil Brewer BSRN caecenet caelis calibration Calibration Facility calibration transfer Calitoo sunphotometer campaign CAMS Caribbean area ceilometer Ceilometer data pre-processing Celestial bodies Central America ciclo anual CIMEL climate climate change climatology cloud base height cloud climatology cloud cover cloud effect efficiency (CEE) cloud effects on solar radiation (CRE) at surface cloud height cloud mask cloud modification factor Cloud motion prediction cloud occurrence cloud optical depth (COD) cloud radiative effect clouds clouds radiative effect CNN Coarse and fine modes COBALD sonde COCCON COCCON-España Columnar aerosol data Columnar and surface aerosols columnar optical properties Comparison convolutional neural network cuba Cumbre Vieja volcanic eruption cumulus and stratocumulus dataset desert dust desert mineral dust didáctica diffuse dimming/brightening direct radiation discrete ordinate method domain shift doppler Double tropopause events DSCOVR dust dust episodes early instrumental data Earth observation efecto gloria efficiency EKO MS-711 spectroradiometer Enhancement effect EPIC ESA Europe European Artic External orientation fire Fires fotómetros solares FTIR GAME GAW Geometric calibration GHG global aerosol forecasting global analysis GNSS GPS GRASP GRASP algorithm greenhouse gases hand-held sunphotometer HDR high AOD High dynamic range High turbidity episodes higroscopicity hygroscopic icenet ICP-MS image analylis image identification In situ atmospheric observations in-situ insolation Integrated water vapor integrating sphere intercomparison Intrinsic calibration inverse methods inversion inversion algorithm inversion products IWV Izaña Izaña Atmospheric Observatory La Palma langley Langley ratio method LIDAR Light scattering Lightning LIME log-log estimations long-range transport long-term AOD observations long-term characterization long-term comparison long-term trends long-wave Longwave radiative effect lunar irradiance lunar photometry machine learning marambio marine aerosol matrix operator method matrix Riccati equations matrix-exponential Measurement mediterranean basin Mediterranean campaign MEGEI-MAD METAL-WRF meteorology microphysical properties microwave radiometer Microwave radiometry middle atmosphere Mining exploitation model MODIS MODIS–AQUA Monte-Carlo method moon moon light polarization moon photometry Morphological characterization of aerosol MPPD model multi-instrument analysis MYSTIC NAFDI Nanoparticles NDACC FTIR Nephelometer neural networks Next-frame prediction next-frame predictioni nigthtime AOD NILU-UV radiometer nowcasting nubes nuevos métodos Ny-Alesund ocean network OMI optical properties Ozone ozone radiative forcing particle formation pbl PFR Phase center variations; GPS; Water vapor photometer photometer calibration photometry physical properties planetary bounday layer PM10 threshold polar polar aerosol Polar Regions polarization polarmoon POLARUBI pollutant pollution polynomials pre-industrial era precipitable water vapour procesados pulmonary deposition PV power potential PWV PWV; PWV; atmospheric water vapor content; diurnal regime; GPS PWV; GPS Quality Assurance Quality Control Radiation radiativa effect Radiative forcing Radiative transfer radiative transfer simulations radiometer radiometry radiosonde Radiosondes Raman spectroscopy reanalysis reanalysis data remote sensing retrieval retrieval methods ROLO Saharan Air Layer Saharan mineral dust Satellite Satellite remote sensing satellite validation SAUNA campaign Scattering searchlight seasonal trends SEM SEM-EDX Semantic segmentation sensor satellinte ship-photometer shipborne CIMEL shortwave global horizontal irradiance SIOS sky camera sky images sky radiance SLOPE smoke smoke ageing Solar radiation Solar Shortwave Irradiance sondeos Sourthwestern Europe space debris Spain spectral direct irradiance spectral radiation spectrometry spectrophotometer spectroradiometer spectroscopy star photometry stars stellar photometry stratospheric aerosol stratospheric density Sulphur dioxide Sun photometer sun photometry sun-photometer sun-photometry Sun-sky photometer sun-sky photometry sunphotometer Surface and columnar aerosol data surface solar radiation Svalbard técnicas de aceleración computacional temperature tesis transferencia radiativa Transport Troposphere tropospheric aerosol tropospheric ozone ultraviolet radiation upper atmosphere urban UV UV irradiance UV-visible irradiance UVI Vaisala ceilometer Validation vapor de agua Vegetation Index Vegetation monitoring volcanic aerosol volcanic eruption Volcanic sulphates Water vapor water vapour wildfires ZEN-R52 Radiometer zenith sky radiance

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2026
1.	J. Gatón; R. Román; C. Guzman; D. González-Fernández; B. Longarela; C. Herrero del Barrio; S. Herrero-Anta; R. González; C. Toledano Multi-frame cloud prediction in all-sky images from RGB images and segmented masks Conference RICTA – 9th Iberian Meeting on Aerosol Science and Technology, 1-3 July 2026 Valladolid, Spain, 2026, (Poster presentation). BibTeX \| Tags: all-sky, Artificial intelligence, clouds, nowcasting, Semantic segmentation @conference{Gatón2026b, title = {Multi-frame cloud prediction in all-sky images from RGB images and segmented masks}, author = {J. Gatón and R. Román and C. Guzman and D. González-Fernández and B. Longarela and C. Herrero del Barrio and S. Herrero-Anta and R. González and C. Toledano }, year = {2026}, date = {2026-07-01}, urldate = {2026-07-01}, address = {Valladolid, Spain}, organization = {RICTA – 9th Iberian Meeting on Aerosol Science and Technology, 1-3 July 2026}, note = {Poster presentation}, keywords = {all-sky, Artificial intelligence, clouds, nowcasting, Semantic segmentation}, pubstate = {published}, tppubtype = {conference} } Close
2.	J. Gatón; R. Román; C. Guzmán; D. González-Fernández; B. Longarela; C. Herrero del Barrio; S. Herrero-Anta; R. González; C. Toledano. Multi-frame cloud prediction from all-sky images: RGB vs segmented masks Conference EGU General Assembly 2026, 3-8 May 2026 Vienna, Austria, 2026, (Poster presentation). Links \| BibTeX \| Tags: all-sky, Artificial intelligence, clouds, nowcasting, Semantic segmentation @conference{Gatón2026c, title = {Multi-frame cloud prediction from all-sky images: RGB vs segmented masks }, author = {J. Gatón and R. Román and C. Guzmán and D. González-Fernández and B. Longarela and C. Herrero del Barrio and S. Herrero-Anta and R. González and C. Toledano.}, doi = {10.5194/egusphere-egu26-9705}, year = {2026}, date = {2026-05-04}, urldate = {2026-05-04}, address = {Vienna, Austria}, organization = {EGU General Assembly 2026, 3-8 May 2026}, note = {Poster presentation}, keywords = {all-sky, Artificial intelligence, clouds, nowcasting, Semantic segmentation}, pubstate = {published}, tppubtype = {conference} } Close doi:10.5194/egusphere-egu26-9705 Close
3.	J. Gatón; R. Román; C. Guzman; D. González-Fernández; B. Longarela; C. Herrero del Barrio; S. Herrero-Anta; R. González; C. Toledano. Multi-frame Cloud Motion Prediction from All-Sky Images Using Semantic Masks Conference ACTRIS Science Conference 2026, 20-23 April 2026 Oslo, Norway, 2026, (Poster presentation). BibTeX \| Tags: All-sky images, Artificial intelligence, Cloud motion prediction, clouds, next-frame predictioni, Semantic segmentation @conference{Gatón2026d, title = {Multi-frame Cloud Motion Prediction from All-Sky Images Using Semantic Masks}, author = {J. Gatón and R. Román and C. Guzman and D. González-Fernández and B. Longarela and C. Herrero del Barrio and S. Herrero-Anta and R. González and C. Toledano.}, year = {2026}, date = {2026-04-20}, address = {Oslo, Norway}, organization = {ACTRIS Science Conference 2026, 20-23 April 2026}, note = {Poster presentation}, keywords = {All-sky images, Artificial intelligence, Cloud motion prediction, clouds, next-frame predictioni, Semantic segmentation}, pubstate = {published}, tppubtype = {conference} } Close
4.	Javier Gatón; Roberto Román; Cesar Guzman; Daniel González-Fernández; Bruno Longarela; Carlos Toledano; Ramiro González Multi-frame cloud prediction in all-sky images from RGB images and segmented masks Journal Article In: Solar Energy, vol. 311, pp. 114515, 2026, ISSN: 0038-092X. Abstract \| Links \| BibTeX \| Tags: All-sky images, Artificial intelligence, Cloud motion prediction, clouds, Next-frame prediction, Semantic segmentation @article{Gatón2026, title = {Multi-frame cloud prediction in all-sky images from RGB images and segmented masks}, author = {Javier Gatón and Roberto Román and Cesar Guzman and Daniel González-Fernández and Bruno Longarela and Carlos Toledano and Ramiro González}, url = {https://www.sciencedirect.com/science/article/pii/S0038092X26002033}, doi = {https://doi.org/10.1016/j.solener.2026.114515}, issn = {0038-092X}, year = {2026}, date = {2026-03-18}, urldate = {2026-01-01}, journal = {Solar Energy}, volume = {311}, pages = {114515}, abstract = {This paper presents a comparative study on the impact of input representation on deterministic artificial intelligence models for short-term multi-frame prediction in all-sky images. This work compares a model operating on 8-bit RGB all-sky images with a model that shares the same backbone, but operates directly on semantically segmented masks that encode cloud-related classes. Using an available sky segmentation model, predictions are evaluated in the segmentation label space using segmenter-derived masks as a proxy reference. Within this evaluation framework, the use of semantic masks as input for short-term prediction leads to improved temporal stability and higher agreement across standard segmentation metrics such as intersection over union, Dice coefficient, and categorical cross-entropy. While these results suggest potential relevance for weather and solar energy nowcasting applications, further validation against physical irradiance measurements is required.}, keywords = {All-sky images, Artificial intelligence, Cloud motion prediction, clouds, Next-frame prediction, Semantic segmentation}, pubstate = {published}, tppubtype = {article} } Close This paper presents a comparative study on the impact of input representation on deterministic artificial intelligence models for short-term multi-frame prediction in all-sky images. This work compares a model operating on 8-bit RGB all-sky images with a model that shares the same backbone, but operates directly on semantically segmented masks that encode cloud-related classes. Using an available sky segmentation model, predictions are evaluated in the segmentation label space using segmenter-derived masks as a proxy reference. Within this evaluation framework, the use of semantic masks as input for short-term prediction leads to improved temporal stability and higher agreement across standard segmentation metrics such as intersection over union, Dice coefficient, and categorical cross-entropy. While these results suggest potential relevance for weather and solar energy nowcasting applications, further validation against physical irradiance measurements is required. Close https://www.sciencedirect.com/science/article/pii/S0038092X26002033 doi:https://doi.org/10.1016/j.solener.2026.114515 Close

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2026