the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Trends in the erythemal radiant exposure from re-evaluated measurements (1976–2023) with biometers at Belsk, Poland, and their sources from corresponding ozone, aerosol, and cloud observations
Abstract. The world's longest homogenised series of erythemal solar irradiance comes from biometers operating at Belsk, Poland (51.84° N, 20.79° E) in period 1976–2023. Linear trends in erythemal radiant exposure (ERE) are calculated for the first (1976–1999) and second (2000–2023) halves of the observations. A statistically significant increasing trend of 6.9 % per decade was found for annual ERE in the first period. In the second period, only the trend in seasonal (June–August) ERE was statistically significant (3.1 % per decade). The method proposed here to reveal the sources of the ERE trends involves the construction of separate and combined forcings from clear sky (total column ozone and aerosol optical depth) and cloud proxies (sunshine duration, clearness index). The superposition of these proxy effects over 1985–1999 was the source of the positive trend in annual ERE for the first half of the observations. Before 1985, clear sky and cloud effects had cancelled each other. The maximum ERE growth rate of 19.4 % per decade over 10 years was found in 1984–1993, with overlapping forcing effects of decreasing ozone and cloudiness responsible. Clear sky and cloud effects stabilised after 1996 and 2005, respectively. The cloud effect has begun to force a positive trend in the annual ERE again since 2015 due to increasing cloud transparency and/or the disappearance of cloud cover. Comparisons of the performance of linear and non-linear versions of the ERE models show that interaction effects between clear sky and cloud proxies can be neglected in trend analyses.
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RC1: 'Comment on egusphere-2025-1129', Anonymous Referee #1, 17 Apr 2025
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General comments
The authors analyze a very long (the world’s longest as they claim) homogenized series of measured erythemal solar irradiance. Then, for the same period (1976 - 2023) they reconstruct the series using different proxies to determine the contribution of different factors to the observed trends. Although the manuscript is well structured and well written, there are some major issues that must be considered by the authors prior to the submission of a revised version of the paper.
- To homogenize the series the authors have scaled the measurements using the reconstructed series of the noon erythemal doses. In my opinion, the scaling should be performed using low-turbidity days to avoid biases due to the impact of changes in the prevailing aerosol species. Gradual changes in aerosol composition would affect optical properties such as the single scattering albedo (SSA) and the Angstrom Exponent (AE), that can affect UV doses and their changes have not been taken into account. Furthermore, the characteristics of different sensors possibly affect the results, even after the scaling to the modelled doses. For example, imperfect angular response, or temperature dependence are possible different for different sensors. If such effects have not been considered they increase the uncertainty in the homogenized series. There should be at least some discussion regarding the remaining uncertainties after the homogenization.
- The proxies that have been used for the series reconstruction do not always correspond to UV-B (i.e., the part of the solar spectrum that mostly contributes to the erythemal doses). For example, the relationship between the AOD at 340 nm and the AOD below 315 nm depends on the AE (practically from the aerosol species) which has been assumed to be equal to 0. The SSA has not been considered and can also have significant impact on the UV trends. The effects of clouds depend on their type and properties. There should be at least some discussion on the uncertainties related to these factors.
Specific comments are provided below.
Specific comments
L8: “measured erythemal “ instead of “erythemal”. There are reconstructed series that are longer.
L10: “observations period” instead of “observations”
Introduction: In additions to being the main source of vitamin D, exposure to UVR has other positive effects. E.g.,:
https://www.tandfonline.com/doi/full/10.4161/derm.20013
https://www.mdpi.com/1660-4601/13/10/1028
Section 2.2: How was the clearness index “translated” to clearness index for ERE? Please provide more details. Furthermore, what about other aerosol properties (e.g., SSA, AE) that affect ERE? Furthermore, please provide a reference for the erythema actions spectrum that has been used to calculate ERE.
L184-186: Given that the AE can practically range from ~ 0 (e.g., for dust) to ~2 (e.g., for biomass burning aerosols), and that the greatest contribution to ERE comes from wavelengths at 306 – 308 nm, there can be a difference of up to ~20% between AOD at 340 nm and the AOD at wavelengths that contribute more significantly to ERE. There should be at least some discussion about that. Furthermore, during the cold period, can changes in surface albedo have played a role? Does the assumption of a default surface albedo introduce any uncertainty?
L233: “monitored” instead of “monitoring”
L277-278: What does 3%p means?
L387: Delete “much”
Citation: https://doi.org/10.5194/egusphere-2025-1129-RC1
Data sets
Biologically effective solar radiation (daily radiant exposure and irradiance at noon) at Belsk from 1 January 1976 to 31 December 2023 based on homogenised measurements with broadband radiometers Janusz Krzyścin https://dataportal.igf.edu.pl/dataset/biologically-effective-solar-radiation-at-belsk-1976-2023-from-homogenised-broadband-radiometer-data
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