作者: A. J. Challinor , J. M. Slingo , T. R. Wheeler , P. Q. Craufurd , D. I. F. Grimes
DOI: 10.1175/1520-0450(2003)042<0175:TACSWA>2.0.CO;2
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摘要: Abstract A methodology is presented for the development of a combined seasonal weather and crop productivity forecasting system. The first stage determination spatial scale(s) on which system could operate; this has been made case groundnut production in India. Rainfall dominant climatic determinant yield relationship between rainfall explored using data from 1966 to 1995. On all-India scale, explains 52% variance yield. subdivisional correlations vary r2 = 0.62 (significance level p < 10–4) negative correlation with 0.1 (p 0.13). structure empirical orthogonal function (EOF) analysis. coherent, large-scale pattern emerges both scale (∼300 km), principal component (PC) ...