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 submitted in February 2022 and September 2022. Please look at previous submissions.
How to cite this dataset:
Montillet, J., Finsterle, W., Schmutz, W., Haberreiter, M., Kermarrec, G., Sikonja, R., 2023. Composite PMOD Data Fusion - updated April 2023, Version 1.0. Interdisciplinary Earth Data Alliance (IEDA).
https://doi.org/10.26022/IEDA/112940. Accessed 2026-04-04.
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. https://doi.org/10.1029/2021JD036146
User Contributed Keyword(s):
Total solar irradiance, solar physics, stochastic processes, data fusion, time series analysis