%0 Conference Proceedings
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%3 extended-abstract-caio-coelho-9ICSHMO.pdf
%B International Conference on Southern Hemisphere Meteorology and Oceanography, 9.
%X Seasonal climate forecasts are forecasts of the expected climatic conditions in the forthcoming 3-6 months. Improvement in seasonal climate forecasts is a key issue for helping countries reduce losses due to weather and climate risks. In South America, seasonal climate forecasts already benefit governmental decision-making in several key areas such as energy production, agriculture, and water resources planning to minimize human and economical losses caused by extreme climate events (e.g. droughts and excessive rainy periods). For example, seasonal forecasts of precipitation are used for decision-making in hydropower electricity production in South America. Hydropower accounts for the major source of electricity production in several South American countries: 60% in Bolivia, Brazil, Colombia, Paraguay and Uruguay; and 40% in Argentina, Chile, Ecuador, Peru and Suriname. Improved seasonal precipitation forecasts can help South American governments to better manage these carbon-friendly electricity production programs − a strategic element in the reduction of global greenhouse gas emissions. In addition, the economies of South American countries also depend heavily on agriculture, an activity which can also benefit from higher quality seasonal climate forecasts. Improved seasonal climate forecasts can thereby clearly benefit the 370 million people who live in South America. South America.
%@mirrorrepository sid.inpe.br/mtc-m18@80/2008/03.17.15.17.24
%@secondarydate 20090209
%T Hybrid precipitation seasonal forecasts for South America
%@format On-line
%@tertiarytype Artigo
%@secondarytype PRE CI
%K forecats, South America.
%8 9-13 feb
%@visibility shown
%@group DOP-CPT-INPE-MCT-BR
%@e-mailaddress deicy.farabello@cpetec.inpe.br
%@secondarykey INPE--PRE/
%2 sid.inpe.br/mtc-m18@80/2009/06.23.16.40.45
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%4 sid.inpe.br/mtc-m18@80/2009/06.23.16.40
%D 2009
%A Coelho, Caio A. S.,
%C Melbourne,  Australia
%@area MET