Identification of photospheric activity features from SOHO/MDI data using the ASAP tool
- Submitting institution
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The University of Bradford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 6
- Type
- D - Journal article
- DOI
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10.1051/swsc/2015013
- Title of journal
- Journal of Space Weather and Space Climate
- Article number
- -
- First page
- A15
- Volume
- 5
- Issue
- -
- ISSN
- 2115-7251
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2015
- URL
-
https://www.swsc-journal.org/articles/swsc/abs/2015/01/swsc130048/swsc130048.html
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A series of enhanced segmentation algorithms are developed to calculate the area coverages of solar magnetic features from intensitygrams and magnetograms images obtained with the Michelson Doppler Imager (MDI) on board the SOHO satellite mission. This work, co-authored with the World Radiation Center (Switzerland) and funded by FP7 project: SOLID, is significant because the variation of solar irradiance is a natural forcing mechanisms of the terrestrial climate, making time-dependent solar irradiance an important input parameter for climate modelling. This work played key-role in the creation of SOLID’s public databases (https://projects.pmodwrc.ch/solid/index.php/main-database ), a key delivery of the SOLID project.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
