A Bayesian Model for Inferring Total Solar Irradiance From Proxies and Direct Observations: Application to the ACRIM Gap
Abstract
Differences among total solar irradiance (TSI) estimates are most pronounced during the so-called "ACRIM Gap" of 1989-1991, when available satellite-based observations disagree in trend and no observations exist from satellites with on-board calibration. Different approaches to bias-correcting noisy satellite-based observations lead to discrepancies of up to 0.7 W/m2 in the change in TSI during the Gap. Using a Bayesian hierarchical model for TSI (BTSI), we jointly infer TSI during the ACRIM Gap from satellite-based observations and proxies of solar activity. In addition, BTSI yields estimates of noise and drift in satellite-based observations and calibration for proxy records. We find that TSI across the ACRIM Gap changes by only 0.01 W/m2, with a 95% confidence interval of [-0.07, 0.09] W/m2. Our results are consistent with the PMOD CPMDF and Community Consensus TSI reconstructions and inconsistent with the 0.7 W/m2 trend reported in the ACRIM composite reconstruction. Constraints on the trend across the ACRIM Gap are primarily obtained through constraints on the drift in the Nimbus-7 satellite that are afforded by overlapping satellite and proxy observations.
- Publication:
-
Journal of Geophysical Research (Atmospheres)
- Pub Date:
- August 2023
- DOI:
- 10.1029/2023JD038941
- Bibcode:
- 2023JGRD..12838941A
- Keywords:
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- total solar irradiance;
- solar forcing;
- Bayesian modeling;
- Bayesian inference;
- Kalman filter