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Maximum Covariance Analysis/Ushahidi
Rekodi ya ushahidi wa mbinu

Maximum Covariance Analysis

Maximum covariance analysis (MCA) is a statistical technique that identifies coupled patterns of variability between two spatially distributed fields (e.g., sea surface temperature and precipitation). Unlike EOF analysis which focuses on variance in a single field, MCA identifies spatial patterns that are maximally correlated between two different fields.

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Maximum Covariance Analysis (MCA)
Rekodi ya mbinu ya kiajenda · process-pipeline / meteorology
  • Bretherton, C. S., Widmann, M., Dymnikov, V. P., Wallace, J. M., & Blade, I. (1992). The effective number of spatial degrees of freedom of a time-varying field. Journal of the Atmospheric Sciences, 49(11), 1063-1083. · URL
  • Newman, M., Sardeshmukh, P. D., & Penland, C. (2016). Relative Contributions to Subseasonal Predictability: Bridging Medium-Range and Climate Time Scales. Journal of Climate, 29(15), 5629-5647. · URL
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Taxonomic bucketEmpirical Orthogonal Teleconnectionmachine-suggested · Relational suggestion, not evidence.Same method familyWRF Modelmachine-suggested · Relational suggestion, not evidence.

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