Latest News
NASA selects NSF NCAR Heliophysics Mission for Continued Development
NASA has selected the Chromospheric Magnetism Explorer (CMEx) for an extended period of concept development. The $150 million mission would fill a critical solar observational gap, generating information on conditions that lead to solar eruptions, advancing our knowledge of the solar magnetic field, and improving space weather modeling capabilities. It would also be the first Explorer-sized spacecraft mission ever led by NSF NCAR.
New AI Based Methods for 3D Reconstruction of the Solar Photosphere
In a collaborative effort researchers at the University of Hawaii Institute for Astronomy (IfA), the NSF funded National Solar Observatory and NSF NCAR’s High Altitude Observatory developed a new artificial intelligence based method to reconstruct the magnetic field in the solar atmosphere.
International & European news agencies feature Sunspot research
The journal Astronomy & Astrophysics recently published a study on the development of a new method for analyzing the stability of sunspots. As part of this study, an international team—led by scientists from Germany in collaboration with colleagues from Sweden, the U.S. and Spain—applied this new method to observations with the German GREGOR solar telescope.
Latest Research Highlights
Quantifying the Impact of Solar Irradiance Uncertainty on Thermosphere-Ionosphere Variability Using Ensemble Forecasts
Using data from the SDO and SORCE missions collected between 2010 and 2018, Chih-Ting Hsu and Nicholas Pedatella investigate the sensitivity of the thermosphere and ionosphere to variations in solar spectral irradiance.
Contribution of Gravity Waves to the Lower Thermospheric Winter-to-summer Meridional Circulation in High-resolution WACCM-X
D. Koshin, N. M. Pedatella, A. K. Smith, and H.-L. Liu analyze the role of gravity waves contributing to winter polar region circulation using output from a high-resolution simulation. In the winter middle atmosphere, gravity waves with eastward phase speeds are generated around the polar vortex and propagate into the lower thermosphere.
Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): II. A Physics-Informed Machine Learning Method for 3D Solar Photosphere Reconstruction
Matthias Rempel, et. al. introduce a novel, Physics-Informed Machine Learning method to infer the three-dimensional (3D) solar atmospheric structures from observations to advance the understanding of the magnetic fields and electric currents that drive solar activity.