University of Oulu

Hamada, A., Asikainen, T. & Mursula, K. New Homogeneous Dataset of Solar EUV Synoptic Maps from SOHO/EIT and SDO/AIA. Sol Phys 295, 2 (2020).

New homogeneous dataset of solar EUV synoptic maps from SOHO/EIT and SDO/AIA

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Author: Hamada, A.1; Asikainen, T.1; Mursula, K.1
Organizations: 1ReSoLVE Centre of Excellence, Space Climate Research Unit, University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 7.7 MB)
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Language: English
Published: Springer Nature, 2020
Publish Date: 2020-03-30


Synoptic maps of solar EUV intensities have been constructed for many decades in order to display the distribution of the different EUV emissions across the solar surface, with each map representing one Carrington rotation (i.e. one rotation of the Sun). This article presents a new solar EUV synoptic map dataset based on full-disk images from the Solar and Heliospheric Observatory/Extreme Ultraviolet Imaging Telescope (SOHO/EIT) and Solar Dynamics Observatory/Atmospheric Imaging Assembly (SDO/AIA). In order to remove the significant and complicated drift of EIT and AIA EUV intensities due to sensor degradation, we construct the synoptic maps in standardized intensity scale. We describe a method of homogenizing the SOHO/EIT maps with SDO/AIA maps by transforming the EIT intensity histograms to AIA levels. The new maps cover the years from 1996 to 2018 with 307 SOHO/EIT and 116 SDO/AIA synoptic maps, respectively. These maps provide a systematic and homogeneous view of the entire solar surface in four EUV wavelengths, and are well suited, e.g., for studying long-term coronal hole evolution.

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Series: Solar physics
ISSN: 0038-0938
ISSN-E: 1573-093X
ISSN-L: 0038-0938
Volume: 295
Issue: 1
Article number: 2
DOI: 10.1007/s11207-019-1563-y
Type of Publication: A1 Journal article – refereed
Field of Science: 115 Astronomy and space science
Funding: Open access funding provided by University of Oulu including Oulu University Hospital. We acknowledge the financial support by the Academy of Finland to the ReSoLVE Center of Excellence (project No. 307411).
Academy of Finland Grant Number: 307411
Detailed Information: 307411 (Academy of Finland Funding decision)
Dataset Reference: The dataset constructed here is available by request to the authors (A. Hamada,; T. Asikainen,, or K. Mursula,
Copyright information: © The Author(s) 2019. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit