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This presentation outlines the general features, severe weather phenomena, products and services, major weather vectors, strengths, weaknesses, and opportunities of Burundi's weather forecast service.
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Severe weather forecast WMO workshop Entebbe,19 november 2012 Country presentation: Burundi by SHIRAMANGA MAURICE IGEBU
OUTLINE • General features • Description of Burundi Forecast service • Major severe weather phenomenons • Products and Services provided • Major weather vecteurs • strengthness , weakeness and opportunities BFS • Expectations
General features • Experiencing two seasons: dry from july to october and rainy from november to june • Rainfall annual average is ranging from 900 mm in lowlands to 1600 mm in highlands • Temperature annual average is Ranging from from 12°C to 23°C
General features • Altitude is varying from 700 m above sea level to 2600m above sea level • Burundi covers an area of 27000 km²
Major severe weather phenomens • Dry spells • Hails in highlands • Thunderstorm • Floods mainly in lowlands
Burundi weather service • Located at Bujumbura international airport • Serving aviation and public • Operating everyday • Have only 8 forecasters • Equiped with pc-based system • Good internet connexion • Good access to RSMC Nairobi Products
Major weather vecteurs Regional level • Migration of ITCZ • Advection of aircongo mass • Weather patterns on Indian Ocean Local level • Convection systems pomping moissure from the maritime surface of lake Tanganyika • orography
Forecasting guidance tools • NWP guidance products from RSMC Nairobi • Eumetsat Products via AMESD/PUMA station • The convective Available potential Energy • MSG water vapour images channel • NWP guidance products for 24 h and 10 days accumulated precipitation forecast • ECMWF EPSgrams provided for ten locations
strengthness • Cost recovering aeronautical process is over • Good networking observing system • Good internet activities • Improving public picture • Arising awareness on meteorlogical hazards
Weaknesses • No adequat and appropried model for Burundi • Burundi covers small area referring to the scale of the models • Insuffisant of forecaters with high skill in forecasting • Dependent to NWP products from different centers • small number of forecasters • Age of forecasters
Opportunities • Facting disaster management aspects in high level of national planning processes • Donors are more sensitive to climate issues • More WMOtraining programs • Agriculture is very dependent to rainfall • Global context of climate change
Expectation • Acquiring skills in forecating severe weather phenomens • Improve visibity of the service by providing more added value products like warnings in time
SUITE • END • THANK YOU FOR ATTENTION