Description: This dataset provides solar images and physical features from June 2010 to June 2024, which can be used for solar wind speed (SWS) forecasting. The data is a supplement to the publication "PROSWIN: Probabilistic Solar Wind Speed Forecasting Using Deep Distributional Regression With Solar Images" (Journal TBD) by Collin et al. (2026) and facilitates reproducing all results therein. We provide: (1) three preprocessed solar image channels and preprocessed magnetograms from the SDO satellite (AIA: 171 Å, 193 Å, 211 Å; HMI: magnetograms; note that the images are not yet normalized and not scaled to the interval [-1,1]), (2) 63 physical features describing the solar wind conditions from the previous solar rotation, the state of the solar cycle, and the position angle of Earth relative to the solar equator, (3) the trained neural network models based on combinations of solar image channels, magnetograms, and physical features from the journal publication, (4) a list of high-speed solar wind streams (HSSs) and coronal mass ejections (CMEs), which can be used for investigating the effectiveness of a prediction model with regard to HSSs and CMEs, (5) the predicted time series of all the models we trained and of the models from the literature that we compare to in the journal publication, and (6) the solar wind speed and sunspot number time series we use in the journal publication. Image downloading and preprocessing was done using the following Python code: https://github.com/DanielCollin96/solar_image_processing. For all details on the data preparation and usage, we refer to the original journal article by Collin et al. (2026).
Global identifier:
Doi(
"10.5880/GFZ.OJSJ.2026.001",
)
Tags: Wasserstraße ? Windgeschwindigkeit ? Prognosemodell ? Daten ? Zeitreihe ? Platforms > Space-based Platforms > Solar/Space Observation Satellites > Living with a Star > SDO ? Science Keywords > EARTH SCIENCE > SUN-EARTH INTERACTIONS > SOLAR ACTIVITY > CORONA HOLES ? Science Keywords > EARTH SCIENCE > SUN-EARTH INTERACTIONS > SOLAR ACTIVITY > SOLAR IMAGERY ? Science Keywords > EARTH SCIENCE > SUN-EARTH INTERACTIONS > SOLAR ENERGETIC PARTICLE PROPERTIES > PARTICLE SPEED ? Science Keywords > EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > IMAGE PROCESSING ? Science Keywords > EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > STATISTICAL APPLICATIONS ? Science Keywords > EARTH SCIENCE SERVICES > MACHINE LEARNING TRAINING DATA ? Science Keywords > EARTH SCIENCE SERVICES > MODELS > MACHINE LEARNING MODELS > DEEP LEARNING ? Science Keywords > EARTH SCIENCE SERVICES > MODELS > MACHINE LEARNING MODELS > NEURAL NETWORKS ? Science Keywords > EARTH SCIENCE SERVICES > MODELS > MACHINE LEARNING MODELS > REGRESSION ? Science Keywords > EARTH SCIENCE SERVICES > MODELS > MACHINE LEARNING MODELS > SUPERVISED ? Science Keywords > EARTH SCIENCE SERVICES > MODELS > SOLAR-ATMOSPHERE/SPACE-WEATHER MODELS ? Solar/Space Observing Instruments > Photon/Optical Detectors > AIA-SDO ? magnetograms ? solar cycle ? solar extreme ultraviolet ?
License: Creative Commons Namensnennung 4.0
Language: Englisch/English
Issued: 2026-01-01
Last harvest: 11.06.2026 00:04
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