Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/36349

Title: Analysis of sunshine duration and cloud cover trends in Lisbon for the period 1890–2018
Authors: Aparicio, Alejandro
Carrasco, Victor
Montero-Martín, J.
Sanchez-Lorenzo, A.
Costa, Maria João
Antón, Manuel
Keywords: Sunshine duration
Cloud cover
Trends
Lisbon
Issue Date: Jul-2023
Publisher: Elsevier
Citation: Aparicio, A.J.P., V.M.S. Carrasco, J. Montero-Martín, A. Sanchez-Lorenzo, M. J. Costa, M. Antón: Analysis of sunshine duration and cloud cover trends in Lisbon for the period 1890-2018, Atmospheric Research, 290, 2023, https://doi.org/10.1016/j.atmosres.2023.106804.
Abstract: Sunshine duration (SD) represents a valuable parameter for early years when few or none measurements of surface solar radiation (SSR) are available. In the present work, daily and monthly SD records registered in Lisbon (Portugal) for the period 1890–1940 have been digitized to expand the data series available in electronic format, which starts in 1941. The resulting series for the period 1890–2018 can be considered as the earliest one in Portugal and the second one in the Iberian Peninsula. Cloud cover (CC) data for the same period have also been digitized. The SD series exhibits a weak negative trend (without statistical significance) from the 1890s to the 1910s, which is in line with the early dimming period in SSR reported in some regions. Subsequently, no trends are obtained for the period 1910s–1950s, which indicates that the early brightening is not observed in Lisbon unlike other locations in the Iberian Peninsula. After that, two strong statistically significant trends are found for the periods 1950s–1980s and 1980s–2010s in line with the well-known global dimming and brightening periods in SSR, respectively. On the other hand, the CC series presents an increase from 1890 to the 1980s, followed by a decrease up to 2018 (both being statistically significant), which may partially explain the reported SD trends. An analysis of SD under cloudless conditions proved the utility of this quantity to track long-term changes in atmospheric aerosol load. In addition, this analysis and a seasonal one pointed out that aerosols seem to play a relevant role in SD long-term variability.
URI: https://www.sciencedirect.com/science/article/pii/S0169809523002016?via%3Dihub
http://hdl.handle.net/10174/36349
Type: article
Appears in Collections:CGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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