Composite PMOD Data Fusion - updated April 2024

Creator(s):
Montillet, Jean-Philippe; ORCID: 0000-0001-7439-7862
Wolfgang, Finsterle; ORCID: 0000-0002-6672-7523
Werner, Schmutz; ORCID: 0000-0003-1159-563
Margit, Haberreiter; ORCID: 0000-0001-8007-9764
Thierry, Dudok de Wit; ORCID: 0000-0002-4401-0943
Gaël, Kermarrec; ORCID: 0000-0001-5986-5269
Rok, Sikonja; ORCID: 0000-0002-8978-4651
Abstract:
Data Fusion of Total Solar Irradiance Composite Time Series Using 41 years of Satellite Measurements. This is a dataset associated with the paper: Montillet, J.-P., Finsterle, W., Kermarrec, G., Sikonja, R., Haberreiter, M., Schmutz, W., & Dudok de Wit, T. (2022). Data fusion of total solar irradiance composite time series using 41 years of satellite measurements. Journal of Geophysical Research: Atmospheres, 127, e2021JD036146. https://doi.org/10.1029/2021JD036146 This dataset is an update from the ones regularly submitted since February 2022.
How to cite this dataset:
Montillet, J., Wolfgang, F., Werner, S., Margit, H., Thierry, D. D. W., Gaël, K., Rok, S., 2024. Composite PMOD Data Fusion - updated April 2024, Version 1.0. Interdisciplinary Earth Data Alliance (IEDA). https://doi.org/10.60520/IEDA/113349. Accessed 2025-07-12.
DOI Creation Date:
2024-06-25
Related
Publication(s):
Montillet, J.-P., Finsterle, W., Kermarrec, G., Sikonja, R., Haberreiter, M., Schmutz, W., & Dudok de Wit, T. (2022). Data fusion of total solar irradiance composite time series using 41 years of satellite measurements. Journal of Geophysical Research: Atmospheres, 127, e2021JD036146.
Publication DOI:
License:
Creative Commons Attribution-ShareAlike 4.0 International [CC-BY-SA-4.0]
User Contributed Keyword(s):
Total solar irradiance, solar physics, stochastic processes, data fusion, time series analysis
Data Available On:
2024-06-26
Resource Type:
Dataset
Download File(s)
There is a new version of this dataset. Download and cite the new version:
10.60520/IEDA/113488
File Name
File Size
File Checksum
3349-1_MergedPMOD_NobaselineScaleCycle23_JPM_April2024.txt
2.32 MB
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