Estimation of Diffuse Solar Radiation Models for a Tropical Site in Nigeria

Soneye-Arogundade, Olanrewaju Olukemi; Rappenglück, Bernhard

doi:10.1007/s00024-023-03330-x

Cited by 1 publication

(2 citation statements)

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Section: Study Site and Ground Datamentioning

confidence: 99%

“…In Ile-Ife, the surface flow is generally weak, with a mean wind speed of less than 1.5 m/s, which is typical for a tropical area. The annual precipitation in Ile-Ife ranges between 1000 and 1500 mm [5,86,87]. The two measurement points met the fetch requirements necessary for allowing unobstructed airflow and also provided favorable conditions for a variety of meteorological measurements and observations because they are situated on open and The two measurement points met the fetch requirements necessary for allowing unobstructed airflow and also provided favorable conditions for a variety of meteorological measurements and observations because they are situated on open and flat terrains, devoid of obstructions such as trees, walls, or buildings.…”

Section: Study Site and Ground Datamentioning

confidence: 99%

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The Variation in Atmospheric Turbidity over a Tropical Site in Nigeria and Its Relation to Climate Drivers

SoneyeArogundade,

Rappenglück

2024

Atmosphere

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Atmospheric turbidity exhibits substantial spatial–temporal variability due to factors such as aerosol emissions, seasonal changes, meteorology, and air mass transport. Investigating atmospheric turbidity is crucial for climatology, meteorology, and atmospheric pollution. This study investigates the variation in atmospheric turbidity over a tropical location in Nigeria, utilizing the Ångström exponent (α), the turbidity coefficient (β), the Linke turbidity factor (TL), the Ångström turbidity coefficient (βEST), the Unsworth–Monteith turbidity coefficient (KAUM), and the Schüepp turbidity coefficient (SCH). These parameters were estimated from a six-month uninterrupted aerosol optical depth dataset (January–June 2016) and a one-year dataset (January–December 2016) of solar radiation and meteorological data. An inverse correlation (R = −0.77) was obtained between α and β, which indicates different turbidity regimes based on particle size. TL and βEST exhibit pronounced seasonality, with higher turbidity during the dry season (TL = 9.62 and βEST = 0.60) compared to the rainy season (TL = 0.48 and βEST = 0.20) from May to October. Backward trajectories and wind patterns reveal that high-turbidity months align with north-easterly air flows from the Sahara Desert, transporting dust aerosols, while low-turbidity months coincide with humid maritime air masses originating from the Gulf of Guinea. Meteorological drivers like relative humidity and water vapor pressure are linked to turbidity levels, with an inverse exponential relationship observed between normalized turbidity coefficients and normalized water vapor pressure. This analysis provides insights into how air mass origin, wind patterns, and local climate factors impact atmospheric haze, particle characteristics, and solar attenuation variability in a tropical location across seasons. The findings can contribute to environmental studies and assist in modelling interactions between climate, weather, and atmospheric optical properties in the region.

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Section: Study Site and Ground Datamentioning

confidence: 99%

Section: Study Site and Ground Datamentioning

confidence: 99%