Abstract
Substantial advances in the efforts to model planetary weather systems, and resulting improvements to general circulation models (GCMs), have led to better predictability of the climate fluctuations, especially 1 to 6 months in advance (Delecluse et al. 1998). Pioneers in generation and distribution of seasonal climate forecasts include the IRI and NOAA. Wise utilization of this information by the farmers and policy makers can contribute substantially towards achieving sustainability in agricultural production. Notwithstanding constant endeavors to improve the living standards of the developing countries like India, which ranks second in the population in the world, particular challenges still remain unattended in the arena of securing sustainable food production. In this context, it is worthwhile to explore and apply climate forecasts for strategic decision-making in agriculture and related areas, especially in the semi-arid regions, which are characterized by high interannual variability in rainfall and consequent uncertainty in water availability for rainfed farming operations.
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Singh, K.K., Reddy, D.R., Kaushik, S., Rathore, L.S., Hansen, J., Sreenivas, G. (2007). Application of Seasonal Climate Forecasts for Sustainable Agricultural Production in Telangana Subdivision of Andhra Pradesh, India. In: Sivakumar, M.V.K., Hansen, J. (eds) Climate Prediction and Agriculture. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44650-7_12
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DOI: https://doi.org/10.1007/978-3-540-44650-7_12
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