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Water Resources Datasets

Climatic zones: This dataset contains coverage of climatic zones of Somalia .This were derived by analysing the long term annual mean rainfall data (1963 to 1990) for the country and four climatic zones were recognised; desert in the north-east, very arid in the central areas, semi arid and humid in the south and parts of north-west. The zones were derived using the FAO eco climate classification method and using only the mean annual rainfall of selected stations in the country. Download data

Automatic  Weather Stations: This datasets contains the coverage of automatic Weather  Stations (AWS). Eight AWS are strategically located in the northern parts of the country including Hargeysa, Borama, Aburin, Dacarbudhug, Xumbaweyne, Ceerigaabo, Garowe and Gaalckacyo . The nineth AWS is located in the south at the border of Kenya, Somalia and Ethiopia in Mandera town. It is hoped that when the situation allows more automatic weather stations will be installed in the southern regions. The stations record a variety of weather elements including; rainfall, temperature, relative humidity, atmospheric pressure, wind speed, wind direction and solar radiation. Data from these automatic stations is received in SWALIM Nairobi office daily in near-real-time through satellite at a frequency of every four hours. The data is then transmitted to the public though a client service platform on the SWALIM website. Download data
Manual Weather Stations: This dataset contains the coverage of manual weather stations. There are over 70 manual rainfall stations. Data from the manual stations is transmitted to SWALIM Nairobi office on a weekly basis through e-mail or telephone. Download data
Satellite Rainfall Estimates (RFE): The dataset contains daily RFE grids available within the SWALIM archives for the period 1995 to 2011. The grids are 8.0 km spatial resolution and are in Albers equal area (conic) projection. RFE are used by SWALIM in the production of flood watch bulletins. The RFE shows an indication of rainfall activity in the Somalia region and at many times they are qualitative rather than quantitative. Download data
Potential Evapotranspiration (PET): The dataset contains daily PET grids available within the SWALIM archives for the period 2001 to 2011. The Evapotranspiration data is derived by the U. S. Geological Survey, Earth Resources Observation and Science (EROS) by utilizing the Global Data Assimilation System (GDAS) of NOAA using the Penman-Montieth equation, Penmann (1957). The USGS geospatial Stream flow Model (GeoSFM) interface contains procedures for ingesting the resulting PET grids and computing actual daily evapotranspiration based on antecedent soil moisture conditions. Download data

Major drainage Basins of Somalia: This dataset contains the coverage of the major drainage basins. The type of water resources depend on the location within the country. Southern Somalia has both the surface water and groundwater resources. In the central and northern parts of the country groundwater dominates, while surface water resources rarely exist permanently in these regions. Download data

River Gauging Stations: This dataset contains the coverage of  river gauging stations. Currently SWALIM through partners is monitoring daily river levels at eight pre-war gauging stations; three on Juba and five on Shabelle rivers. Download data

Strategic point water Sources: This dataset contains coverage of strategic point water sources  within Somalia.The data was captured using the Somalia Water Sources Information Management System – (SWIMS). SWIMS is a system for managing water sources information effectively. It consists of three elements – a network of partners, a field data collection toolkit and a software package. In the period between 2008-2009  SWALIM undertook a survey of the  strategic point water sources in Somalia and a total of over 2 250 sources were captured. For each of the sources; essential parameters were recorded such as information on location, water characteristics, functionality, supply and distribution, physical parameters and the management. Download data

 
The data on SDDR is shared for free to all organisations and individuals working in related fields in Somalia
When data from SDDR is used in reports or other publications, the source must be cited as FAO SWALIM
The boundaries and names in the maps do not imply an official endorsement by the Food and Agriculture Organisation

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