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Gambia

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  • Numbers of households and population by Local Government Areas, Districts, and Settlements, 2013, The Gambia

  • Monthly evaporation raw data from station Basse in The Gambia.

  • The 2000 National Greenhouse Gas Inventory of The Gambia shows national emission total of about 20.02 Million Tons CO2 Equivalent (TCO2E) and per capita emissions of 13.5 TCO2E. This is insignificant compared to other country emissions. However, as a Party to the Climate Change Convention and its Kyoto Protocol, Gambia is willing to participate in mitigating global emissions and their concentrations in the atmosphere with the first step of conducting a mitigation assessment and developing this NAMA document. Trend analysis of climate data from 1951 to date shows a progressively warming and drier Gambia. Using General Circulation Model outputs, national temperatures are projected to increase by about 0.3OC in 2010 to about 3.9OC in 2100. Rainfall is also projected to decrease by about 1% in 2010 to about 54% in 2100. This confirms previous results of in the First National Communication that with increase in temperatures under a warming climate, rainfall in The Gambia would correspondingly decrease. The development challenges of The Gambia will be significant as the country faces complex economic, social and technological choices based on the climate change impacts already enumerated in the preceding paragraph. This is compounded by the inadequate capacities, inadequacies in the existing technologies and the non availability of domestic funding from both the public and private sectors for climate change.

  • Raw data from several climate stations in The Gambia. Monthly minimum and maximum temperature and rainfall from the stations: - Banjul - Basse - Fatoto - Janjanbureh - Jenoi - Kaur - Kerewan - Sapu - Sibanor - Yundum

  • During the 1970s, when severe droughts affected West African farmers, cereal banks became popular in the region. However, things quickly became very quiet again about this type of food security scheme, probably also because many of the cereal banks failed. Scientific surveys addressing the topic are scarce. A study in The Gambia in 2014 investigated how such cereal banks function and what the important variables for their success are.

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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 temperature at 2 meter 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 degree Celcius. 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 parameter extracted from the NWP output is T2 = Temperature at 2 meter. 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=20.633 °C, Maximum=29.597°C Mean=26.395 °C StdDev=1.431 °C

  • Occupying a total area of 11,300 sq km, with a population density of 130 persons per sq km, The Republic of the Gambia is one of the most densely populated countries on continental Africa. Because The Gambia possesses only minimal commercial mineral resources and manufacturing sector, agriculture is the primary source of livelihood for many Gambians, employing more than 68% of the workforce and accounting for about 40% of the Gambia’s export earnings contributing about 26% of the Gross Domestic Product (GDP). Agriculture is predominantly subsistence and rain-fed with farmers relying on traditional shifting cultivation and livestock management practices. Over the last fifty years cropland area increased from under 100,000 ha to over 300,000 at the expense of natural woodland and wetland ecosystems. Over 51% of The Gambia’s population resides in urban areas. Driven by variable and degrading climate, decline in agricultural productivity in rural areas, and changes in economic activity (tourism, petty trade and small scale manufacturing) in the ecologically favorable West Coast Region, urban population has increased from 110,000 in 1973 to 680,000 in 2003. Between 1980 and 2001, built-up area in the Gambia has increased from 2,725 ha to more than 19,000 ha with over 50% of the increase occurring in Kombo (KMC and the districts of Kombo). The Gambia’s climate is Sahelian characterized by high variability in the amount and distribution of annual precipitation. Analysis of long-term climate data shows that the past 50 years have seen a decrease in total amount of precipitation, length of rainy season, and increase in length and frequency of extreme weather events such as droughts and dust storms. The low-lying topography, combined by high dependence on subsistence rain-fed agriculture and inadequate drainage and storm water management system in a context of rapidly expanding un-regulated urban expansion has placed the Gambia among those countries most vulnerable to climate change. This study examines threats associated with anthropogenic climate change; vulnerable ecosystems and ecosystem services; and examines how to integrate responses to climate change and adaptation measures into strategies for poverty reduction, to ensure sustainable development.

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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 Power Density 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 W/m2. 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. ALT = inverse density AL = inverse perturbation density According to the following formula: WPD = 1/2* 1/(ALT+AL) * (WS)3 With WS = √(U2 + V2) 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=37.158 W/m2 Maximum=780.918 W/m2 Mean=176.734 W/m2 StdDev=66.407 W/m2

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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 Power Density at 40 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 W/m2. 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. ALT = inverse density AL = inverse perturbation density According to the following formula: WPD = 1/2* 1/(ALT+AL) * (WS)3 With WS = √(U2 + V2) 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=27.706 W/m2 Maximum=583.235 W/m2 Mean=124.764 W/m2 StdDev=57.928 W/m2

  • The Republic of The Gambia ratified the United Nations Framework Convention on Climate Change (UNFCCC) in 1994 committing the country to the adoption and implementation of policies and measures mitigating the causes of climate change and adapting to its adverse effects. This Second National Communication (SNC), prepared and submitted in fulfilment of Articles 4 and 12 of the UNFCCC follows and builds on the Initial National Communication (INC) submitted in 2003. Similarly, its preparation follows the UNFCCC guidelines and includes information on The Gambia‟s greenhouse gas inventory for the year 2000, a discussion of measures to mitigate emissions in the energy sector, vulnerability and promising adaptation measures in key socioeconomic sectors as well as other activities contributing to building resilience to climate change.