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Observing and Modeling the Sun-Earth System

What We Do

Upcoming Events

Colloquium: Thermospheric Investigations Using Temperature Measurements by NASA’s GOLD Mission - May 14, 2025
Colloquium: Changing methodologies in solar physics - May 21, 2025
Colloquium: Hemispheric Differences in Ionosphere–Thermosphere Responses to Traveling Atmospheric Disturbances - May 22, 2025

Latest News

HiWind team posing in front of gondola.

HAO's HiWind Balloon has Launched

Apr 17, 2025

Yesterday, the weather conditions in Wanaka, NZ proved favorable for a successful HiWind (SN11) launch. The HAO staff received this news with great jubilation. We are proud and grateful for your achievement! 
 

Holly Gilbert portrait from SPD announcement

Holly Gilbert awarded the 2025 Irene González Hernández Prize

Jan 15, 2025

HAO is proud to announce that our director, Holly Gilbert, is the recipient of the 2025 Irene González Hernández Prize. As quoted from the SPD website announcement..."The Irene González Hernández Prize, established in 2024, celebrates mid-career scientists for transformative contributions to solar research, leadership, and community service." Congratulations Holly!

SPin4D model workflow

Cutting-edge SPIn4D project combines AI and Astronomy

Nov 26, 2024

Matthias Rempel, et al. combine cutting-edge solar astronomy with advanced computer science to analyze data from the world’s largest ground-based solar telescope located atop Haleakalā, Maui. See featured story from the University of Hawaiʻi News. The team’s research recently published in Astrophysical Journal focuses on their development of deep learning models that rapidly analyze vast amounts of data from the U.S. National Science Foundation (NSF) Daniel K. Inouye Solar Telescope. 

More News >>

Latest Research Highlights

comparison between AI-enhanced images and high-quality reference data

A deep learning framework for instrument-to-instrument translation of solar observation data

May 6, 2025

R. Jarolim, A. M. Veronig, W. Pötzi, and T. Podladchikova recently developed a new deep learning framework for Instrument-To-Instrument translation of solar observation data, enabling homogenized data series across multi-instrument datasets. The study demonstrates that the available data sets can directly profit from instrumental improvements, by applying the method to four different applications of ground- and space-based solar observations. 

sample of 650 PhD theses used in the study

Changing methodologies in solar physics

Apr 16, 2025

Philip Judge:  For the first time, the methods in solar physics are reviewed using statistical methods. This study attempts to establish a basis for understanding how methods used in research in solar physics have evolved since WWII.

MAGE simulation and ICON observation of zonal thermospheric winds and ion drifts

Penetrating electric field with/without disturbed electric fields During the 7-8 July 2022 geomagnetic storm simulated by MAGE and observed by ICON MIGHTI

Apr 9, 2025

Qian Wu, Dong Lin, Wenbin Wang, Kevin Pham, Liying Qian, Haonan Wu, Thomas J. Immel, and Erdal Yigit, using a numerical model, simulated the nighttime ionospheric disturbances caused by electric fields that enter this system from the magnetosphere and electric fields generated internally by changes in the thermospheric winds.

More Highlights >>

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This material is based upon work supported by the NSF National Center for Atmospheric Research, a major facility sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.