Joe Huba

Eos Editor's Highlight Features HAO Research

whawkins — Wed, 14 Jun 2023 19:06:23 +0000

Eos Editor's Highlight Features HAO Research whawkins Wed, 06/14/2023 - 13:06

Author:

whawkins

Jun 14, 2023

The research article “Atmospheric and Ionospheric Responses to Hunga-Tonga Volcano Eruption Simulated by WACCM-X”, was selected for featuring as an Editor’s Highlight on Eos.org. Fewer than 2 per cent of papers are selected to be featured in this way.

**Their research article was just published on Eos.org.

Model Output Link Correction:
The Globus connection point for the WACCM-X Hunga-Tonga simulation output, provided in the Data Availability Statement of this GRL paper (https://doi.org/10.1029/2023GL103682) is incorrect. The correct link is: Log in to use Globus Web App.
The QR code is: (See attached png file).

QR code

In addition, see HAO's "Latest Research Highlights".

The upper panels show the exponential growth of the wave amplitude and the vertical structure of the wave in zonal and meridional directions. Distinct wave modes are seen in the vertical wind responses in the mesosphere, lower thermosphere, and upper thermosphere 1.5 hours after the eruption (lower panels).

Atmospheric and Ionospheric Responses to Hunga-Tonga Volcano Eruption Simulated by WACCM-X

whawkins — Tue, 23 May 2023 19:36:16 +0000

Atmospheric and Ionospheric Responses to Hunga-Tonga Volcano Eruption Simulated by WACCM-X whawkins Tue, 05/23/2023 - 13:36

Author:

whawkins

May 23, 2023

Geophysical Research Letters: As one of the most powerful volcano eruptions on record, the Hunga Tonga-Hunga Ha'apai Volcano produces waves that ripple through the atmosphere and near space environment. These wave signals have been recorded by observations from instruments on the ground and from satellites, and they propagate around the Earth multiple times. This event provides a rare opportunity to study the strong and direct connection of the whole atmosphere system. The challenge is for a model to be able to represent the key processes in the whole atmosphere system and to have sufficient spatial and temporal fidelity to gain a realistic global picture of the event. This is achieved in study by using the high-resolution Whole Atmosphere Community Climate Model with thermosphere/ionosphere extension (WACCM-X). The model is able to simulate the global propagation of the waves, and the model results compare favorably with observations from the surface to the thermosphere and ionosphere.

Model Output Link Correction:
The Globus connection point for the WACCM-X Hunga-Tonga simulation output, provided in the Data Availability Statement of this GRL paper (https://doi.org/10.1029/2023GL103682) is incorrect. The correct link is: Log in to use Globus Web App.
The QR code is: (See attached png file).

QR code

Geophysical Research Letters is delighted to highlight this research article on Eos.org. Fewer than 2 per cent of papers are selected to be featured in this way.

This plot shows the surface pressure perturbation (lower layer) and total electron content (TEC) perturbation (upper layer) from the SIMA/WACCM-X simulation of the Hunga-Tonga volcano eruption event.

HAO affiliate scientist, Dr. Joe Huba, published in a popular-science journal

kolinski — Tue, 23 Nov 2021 18:40:25 +0000

HAO affiliate scientist, Dr. Joe Huba, published in a popular-science journal kolinski Tue, 11/23/2021 - 11:40

Joe Huba

Eos Editor's Highlight Features HAO Research

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Influence of the Stratospheric Quasi-Biennial Oscillation on the Seasonal Variation in the Mesosphere and Lower Thermosphere Based on a Long-Term Reanalysis JAWARA

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Local Time Variability of Gravity Wave Activity Revealed by SABER Temperature Observations

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HAO affiliate scientist, Dr. Joe Huba, published in a popular-science journal

Recent News

Influence of the Stratospheric Quasi-Biennial Oscillation on the Seasonal Variation in the Mesosphere and Lower Thermosphere Based on a Long-Term Reanalysis JAWARA

Quantifying the Impact of Solar Irradiance Uncertainty on Thermosphere-Ionosphere Variability Using Ensemble Forecasts

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