A long-term time series of global and diffuse photosynthetically active radiation in the Mediterranean: Interannual variability and cloud effects

TitleA long-term time series of global and diffuse photosynthetically active radiation in the Mediterranean: Interannual variability and cloud effects
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2018
AuthorsTrisolino, P., Di Sarra Alcide, Anello F., Bommarito C., Di Iorio Tatiana, Meloni Daniela, Monteleone F., Pace G., Piacentino S., and Sferlazzo Damiano Massimo
JournalAtmospheric Chemistry and Physics
Volume18
Pagination7985-8000
ISSN16807316
KeywordsAgrigento, annual variation, boundary layer, cloud radiative forcing, developed and maintained by the NASA Goddard Earth Sciences Data and Information Services Center. This study contributes to ChArMEx WP-4 on Aerosol-Cloud-Radiation-Climate and WP-6 on Variability and Trends., funding_text 1=Acknowledgements. This study has been partly supported by the Italian Ministry for University and Research through the NextData and RITMARE projects. We acknowledge the MODIS mission scientists and associated National Aeronautics and Spac, irradiance, Lampedusa, Mediterranean Sea, MODIS, Pelagi Islands, seasonal variation, solar radiation, Time series
Abstract

Measurements of global and diffuse photosynthetically active radiation (PAR) have been carried out on the island of Lampedusa, in the central Mediterranean Sea, since 2002. PAR is derived from observations made with multifilter rotating shadowband radiometers (MFRSRs) by comparison with a freshly calibrated PAR sensor and by relying on the on-site Langley plots. In this way, a long-term calibrated record covering the period 2002-2016 is obtained and is presented in this work. The monthly mean global PAR peaks in June, with about 160Wm-2, while the diffuse PAR reaches 60Wm-2 in spring or summer. The global PAR displays a clear annual cycle with a semi amplitude of about 52Wm-2. The diffuse PAR annual cycle has a semi amplitude of about 12Wm-2. A simple method to retrieve the cloud-free PAR global and diffuse irradiances in days characterized by partly cloudy conditions has been implemented and applied to the dataset. This method allows retrieval of the cloud-free evolution of PAR and calculation of the cloud radiative effect, CRE, for downwelling PAR. The cloud-free monthly mean global PAR reaches 175Wm-2 in summer, while the diffuse PAR peaks at about 40Wm-2. The cloud radiative effect, CRE, on global and diffuse PAR is calculated as the difference between all-sky and cloud-free measurements. The annual average CRE is about -14.7Wm-2 for the global PAR and C8.1Wm-2 for the diffuse PAR. The smallest CRE is observed in July, due to the high cloud-free condition frequency. Maxima (negative for the global, and positive for the diffuse component) occur in March-April and in October, due to the combination of elevated PAR irradiances and high occurrence of cloudy conditions. Summer clouds appear to be characterized by a low frequency of occurrence, low altitude, and low optical thickness, possibly linked to the peculiar marine boundary layer structure. These properties also contribute to produce small radiative effects on PAR in summer. The cloud radiative effect has been deseasonalized to remove the influence of annual irradiance variations. The monthly mean normalized CRE for global PAR can be well represented by a multi-linear regression with respect to monthly cloud fraction, cloud top pressure, and cloud optical thickness, as determined from satellite MODIS observations. The behaviour of the normalized CRE for diffuse PAR can not be satisfactorily described by a simple multi-linear model with respect to the cloud properties, due to its nonlinear dependency, in particular on the cloud optical depth. The analysis suggests that about 77% of the global PAR interannual variability may be ascribed to cloud variability in winter. © Author(s) 2018.

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URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85048349025&doi=10.5194%2facp-18-7985-2018&partnerID=40&md5=f1e474476878ffd1cc84ce6583b35f33
DOI10.5194/acp-18-7985-2018