| Issue |
A&A
Volume 700, August 2025
|
|
|---|---|---|
| Article Number | L3 | |
| Number of page(s) | 6 | |
| Section | Letters to the Editor | |
| DOI | https://doi.org/10.1051/0004-6361/202555364 | |
| Published online | 31 July 2025 | |
Letter to the Editor
Insights into chromospheric large-scale flows using Nobeyama 17 GHz radio observations
I. The differential rotation profile
1
Aryabhatta Research Institute of Observational Sciences, Nainital, 263002 Uttarakhand, India
2
Department of Applied Physics, Mahatma Jyotiba Phule Rohilkhand University, Bareilly, 243006 Uttar Pradesh, India
3
Department of Physics, University of Helsinki, P.O. Box 64, FI-00014 Helsinki, Finland
4
Udaipur Solar Observatory, Physical Research Laboratory, Dewali, Badi Road, Udaipur, 313 001 Rajasthan, India
5
Department of Physics, Ahmednagar College, Station Road, Ahilyanagar, 414001 Maharashtra, India
6
Indian Institute of Space Science and Technology, Valiamala, Thiruvananthapuram, 695 547 Kerala, India
7
Indian Institute of Astrophysics, Koramangala, Bangalore, 560034, India
8
Center of Excellence in Space Sciences India, IISER Kolkata, Mohanpur, 741246 West Bengal, India
⋆ Corresponding author: anshu@prl.res.in
Received:
2
May
2025
Accepted:
3
July
2025
Context. Although the differential rotation rate on the solar surface has long been studied using optical and extreme ultraviolet (EUV) observations, associating these measurements with specific atmospheric heights remains challenging due to the temperature-dependent emission of tracers observed in EUV wavelengths. Radio observations, being primarily influenced by coherent plasma processes and/or thermal bremsstrahlung, offer a more height-stable diagnostic and thus provide an independent means to test and validate rotational trends observed at other EUV wavelengths.
Aims. We aim to characterise the differential rotation profile of the upper chromosphere using cleaned solar full-disc 17 GHz radio imaging from the Nobeyama Radioheliograph spanning a little over two solar cycles (1992–2020).
Methods. A tracer-independent method based on automated image correlation was employed on daily full-disc 17 GHz radio maps. This method determines the angular velocities in 16 latitudinal bins of 15° each by maximising the 2D cross-correlation of overlapping image segments.
Results. The best-fit parameters for the differential rotation profile are A = 14.520 ± 0.006°/day, B = –1.443 ± 0.099°/day, and C =–0.433 ± 0.267°/day. These results suggest that the upper chromosphere rotates significantly faster than the photosphere at all latitudes, with a relatively flatter latitudinal profile. We also observed a very weak anti-correlation, ρs = −0.383 (94.73%), between the equatorial rotation rate and solar activity.
Conclusions. Our findings reaffirm the potential of radio observations to probe the dynamics of the solar chromosphere with reduced height ambiguity. The overlap of the equatorial rotation rate (A) found in this study with that for 304 Å in the EUV regime lends additional support to the view that the equatorial rotation rates increase with height above the photosphere. Future coordinated studies at wavelengths with better-constrained height formation will be crucial for further understanding the complex dynamics of the solar atmosphere.
Key words: plasmas / Sun: activity / Sun: chromosphere / Sun: general / Sun: radio radiation / Sun: rotation
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.