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Daily windspeed, max/min relative humidity and insolation at Mango station, Togo, 1961 - 2011
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The suitability maps, contain information on locations suitable for installation of the respective wind electricity generation systems in accordance with the restrictive criteria adopted. Locations are evaluated according to their suitability for onshore wind systems deployment according to topographical, legal, and social constraints, and well as factors that could facilitate or impede wind generation development. The present study focus exclusively on land suitability for the installation of onshore wind turbine and wind farm. The study is conducted on a regional scale. The results can be used for identification of potential areas of interest for solar generation deployment, and as a support for integration between electricity grid expansion and off-grid electrification policies. Grid connected installations - ecological scenario: Installation connected to the electrical grid, environmental impacts minimized
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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 Wind Speed at 80 meter high 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 4km x 4km. The unit is m/s. 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 values are calculated from NWP output extracted parameters: U = West-East component of the wind speed V = South-North component of the wind speed. 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=2.893 m/s Maximum=6.664 m/s Mean=5.149 m/s StdDev=0.624 m/s
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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 Wind Speed at 80 meter high 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 4km x 4km. The unit is m/s. 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 year 2013. The values are calculated from NWP output extracted parameters at a level close to 80 meter: U = West-East component of the wind speed V = South-North component of the wind speed. 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= 2.609 m/s Maximum= 8.5 m/s Mean= 5.78 m/s StdDev= 0.804 m/s
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Created by NOVELTIS for ECREEE during the ACP-EU project ECOWREX2. This dataset shows the average Wind Speed at 80 meter high 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 m/s. 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 values are calculated from NWP output extracted parameters: U = West-East component of the wind speed V = South-North component of the wind speed. 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=3.253 m/s Maximum=6.547 m/s Mean=4.698 m/s StdDev=0.573 m/s
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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 Wind Speed at 60 meter high 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 4km x 4km. The unit is m/s. 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 year 2013. The values are calculated from NWP output extracted parameters at a level close to 60 meter: U = West-East component of the wind speed V = South-North component of the wind speed. 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=2.510 m/s Maximum=8.230 m/s Mean=5.485 m/s StdDev=0.822 m/s
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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 Wind Speed at 100 meter high 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 4km x 4km. The unit is m/s. 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 values are calculated from NWP output extracted parameters: U = West-East component of the wind speed V = South-North component of the wind speed. 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=3.281 m/s Maximum=7.041 m/s Mean=5.490 m/s StdDev=0.501 m/s
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To investigate the breeding system of plant species, Amos Dafni provided different pollination treatments. Using these one can disentangle if a species is self-compatible or depending on outcross-pollination. Furthermore, one can get initial sights of inbreeding depression and if a plant species is pollen or resource limited. Emasculation means cutting the anthers (carrying the pollen grains). Bagging is to be done by mesh nets or perforated pollen proof pollination bags. Hand-pollination can be carried out by using paint brushes or tooth picks.
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Summary: Mean Daily Flow Station Number : 01003001 Station Name : Yagaba on Kulpawn Time-Series Type : Flow (cumecs) Latitude : 10:15: 0 N Longitude : 1:17: 0 W Elevation : 126.3 metres Area : 10470.0 sq km With gaps!
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This document is a map of land and vegetation cover of the North Bank Region of the Gambia produced by the National Environment Agency of the Gambia (NEA). It is reproduced as a background map in 2015 by Constantine Kouevi, student WASCAL MRP-The Gambia, in her Master thesis. This study shows that there is a densification of human activities in this geographical space, which explains a high human concentration. Land management policies depend on the quality of natural resource management. This can lead to potential conflicts.