DNI
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Created by NOVELTIS for ECREEE during the ACP-EU project ECOWREX 2: Promoting Sustainable Energy Development through the use of Geospatial Technologies in West Africa This dataset shows the average ground DNI (Direct Normal Irradiation) over the year 2013. The average is calculated from hourly time series data generated by NOVELTIS meso-scale Numeric Weather Prediction system. The resolution is 8km x 8km. The unit is kW / m2/ year. The projection is latlon, EPSG 4326, WGS 84. This dataset is not indicated for local studies but only for regional comparison. The annual average was calculated from hourly time series data generated by NOVELTIS meso-scale Numeric Weather Prediction system over the full 2013 year. The parameter extracted from the NWP output is SWDDNI= Shortwave surface downward direct normal irradiance. The 2013 year was selected by NOVELTIS as TMY (typical meteorological year) through a regional climatic analysis for the period from 2000 to 2014. Minimum=595.670 kW/m2/y Maximum=1080.467 kW/m2/y Mean=816.374 kW/m2/y StdDev=104.437 kW/m2/y
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Created by NOVELTIS for ECREEE during the ACP-EU project ECOWREX2. This dataset shows the average ground DNI (Direct Normal Irradiation) over the year 2013. The average is calculated from hourly time series data generated by NOVELTIS meso-scale Numeric Weather Prediction system. The resolution is 8km x 8km. The unit is kW / m2 / year. The projection is latlon, EPSG 4326, WGS 84. This dataset is not indicated for local studies but only for regional comparison. The annual average was calculated from hourly time series data generated by NOVELTIS meso-scale Numeric Weather Prediction system over the full 2013 year. The parameter extracted from the NWP output is SWDDNI= Shortwave surface downward direct normal irradiance. The 2013 year was selected by NOVELTIS as TMY (typical meteorological year) through a regional climatic analysis for the period from 2000 to 2014. Minimum=614.350 kW / m2 /year Maximum=1224.030 kW / m2 /year Mean=973.913 kW / m2 /year StdDev=88.120 kW / m2 /year