Assessments of the night-time and daytime radiative fluxes balance on seasonal timescale over West Africa

Ojo, Olusola Samuel; Adeyemi, Babatunde; Ogolo, E.O.

doi:10.1016/j.jastp.2019.05.012

Cited by 10 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In all the figures (6 -9), variations between observed and AR{p} net radiation showed similar patterns and they were also closely monitored to each other. The future prediction made by the AR {p} model for 72 next months (2008 -2013) showed that they would be decreased in the magnitude of net radiation in agreement with recommendation in [28].…”

Section: Figs 2 -5 Show the Scatter Plots Of Comparison Between Observed And Ar {P} Net Radiation Over Four Climatic Regions In Nigeriasupporting

confidence: 80%

Evaluation of net radiation using the autoregressive models with higher orders over Nigeria

Ojo

2020

J. Adv. Sci. Eng.

View full text Add to dashboard Cite

In this study, monthly surface net radiation data were collected from the Nigeria Meteorological Agency, Lagos covering a duration of 31 years (1983- 2013) spatially distributed across the four climatic regions: Semi-Arid (SAR), Sub-humid Dry (SHD), Sub-humid Humid (SHH) and Humid (HUM) regions. The net radiation was evaluated using different forms of Auto-Regressive models – AR {p} where p is the number of orders of the auto-regressive. The analysis showed that AR {4} performed best in all the regions and stations investigated. Regionally, AR {4} has maximum values of coefficient of determination of 0.8127 in HUM, 0.7876 in SHH, 0.5765 in SHD and 0.7973 in SAR regions. It can be concluded that the higher the order of auto-regressive models, the more accurate estimation of net radiation it will give irrespective of location in Nigeria.

show abstract

Section: Figs 2 -5 Show the Scatter Plots Of Comparison Between Observed And Ar {P} Net Radiation Over Four Climatic Regions In Nigeriasupporting

confidence: 80%

Evaluation of net radiation using the autoregressive models with higher orders over Nigeria

Ojo

2020

J. Adv. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…1. The MERRA-2 data is powered by Earth Observing System Data and Information System (EOSDIS), the key core capability in the National Aeronautics and Space Administration (NASA) Earth Science Data Systems (ESDS) program [15]. The data gridded in NetCDF format at a spatial resolution of 0.5° x 0.63° was converted into a readable format using Ferret software.…”

Section: Methodsmentioning

confidence: 99%

Determination of Optimal Solar Power and Corresponding Tilted Angle in Different Geoclimatic Zones in Nigeria

Olusola

Emmanuel

Oluwafemi

et al. 2020

JENRR

View full text Add to dashboard Cite

Aims: To estimate the optimum tilt angle and maximum solar power for different geoclimatic zones in Nigeria. Methodology: In this study, the surface data of direct and diffuse solar radiations spanning 2013 to 2017 were obtained from the archives of the Modern-Era Retrospective Analysis for Research and Application for 20 stations spread across Nigeria. To study the direct relationship between the solar power on a photovoltaic panel and the solar radiation, the values of the direct, diffuse, and ground-reflected components of solar radiation were calculated for six tilt angles ranging from 15° to 90° using anisotropic models. Afterwards, the maximum values of the solar power and the corresponding tilt angles, as well as the average number of solar panels that can be used to cater for the electricity needs of households in all the geoclimatic zones, were estimated. Results: Analyses showed that the maximum solar power was received at tilt angles of 30° and 45° from October till February, and tilt angles of 15° and 30° from March till September in all the study locations. For instance, the Sahel and Guinea Savanna zones had the highest solar power, whereas Derived Savanna and Coastal zones had relatively low power. Based on the results, it was determined that the number of solar panels required in the sahel zone would be lower than those of the other zones. Conclusion: It can be inferred from the results that the reception of maximum solar power is at the tilt angle of 45o in Sahel, Guinea, and Derived Savanah regions, and at 30o in the Coastal region. The results of this research will provide solar engineers with accurate information on the orientation and tilt of PV modules for efficient power generation.

show abstract

“…These studies show that the datasets exhibit tolerable discrepancies compared with ground observations (and other global reanalyses) and provide scientific reference for rational use of NASA datasets in the selected regions. Consequently, the products have been widely used for climate impacts studies over different parts of the world including Nigeria, West Africa [61,62].…”

Section: Data Sourcementioning

confidence: 99%

Impacts of cloudiness on near surface radiation and temperature in Nigeria, West Africa

et al. 2020

View full text Add to dashboard Cite

This study investigates impacts of cloudiness on surface radiation budget and temperature from 1983 to 2018 in Nigeria, West Africa. The National Aeronautics and Space Administration meteorological datasets were used to achieve this objective. Net radiation (R) increased latitudinally from the coast to the inland areas. The least value of R was obtained in wet season which coincided with the period when cloud cover was at its optimal. We obtained significant decreasing trends (− 0.110 to − 0.536 Wm −2 year −1) in R but significant increasing trends in cloud cover in most parts of the region. Under clear-sky conditions, however, significant increasing trends (0.256-0.807 Wm −2 year −1) in R were obtained. Annual mean temperature showed significant upward trends under all-sky (0.009-0.059 °C year −1) and clear-sky (0.019-0.072 °C year −1) conditions. Furthermore, significant negative correlations (− 0.70 ≤ r ≤ − 0.95) were obtained between monthly values of cloud cover and R over the country. However, r values for cloud cover and temperature were positive over Sahel (r ~ 0.65) but negative over Guinea (r ~ 0.45); both significant at p < 0.05. Changes in R were accounted for by 21 to 26% variations in cloud cover, while fluctuation in temperature was explained by about 14% variation in cloud cover over Sahel region at p < 0.05. Our results revealed that the surface radiation budget was significantly perturbed by variations in cloudiness which resulted in net cloud-radiative cooling (− 30 Wm −2) over Guinea but warming over Savannah (25 Wm −2) and Sahel (50 Wm −2) zones.

show abstract

Assessments of the night-time and daytime radiative fluxes balance on seasonal timescale over West Africa

Cited by 10 publications

References 30 publications

Evaluation of net radiation using the autoregressive models with higher orders over Nigeria

Evaluation of net radiation using the autoregressive models with higher orders over Nigeria

Determination of Optimal Solar Power and Corresponding Tilted Angle in Different Geoclimatic Zones in Nigeria

Impacts of cloudiness on near surface radiation and temperature in Nigeria, West Africa

Contact Info

Product

Resources

About