قارن الطرق

	تحليل التغاير الأقصى	نموذج WRF
المجال	علم الأرصاد الجوية	علم الأرصاد الجوية
العائلة	Process / pipeline	Process / pipeline
سنة النشأة	1992	2000
صاحب الطريقة	Bretherton, Wallace	Skamarock and Klemp
النوع	Covariance decomposition method	Atmospheric simulation system
المصدر التأسيسي	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.	Skamarock, W. C., Klemp, J. B., Dudhia, J., et al. (2008). A Description of the Advanced Research WRF Version 3. NCAR Technical Note NCAR/TN-475+STR.
الأسماء البديلة	MCA, Singular value decomposition, SVD analysis, Covariance analysis	Weather Research and Forecasting, WRF, ARW, NMM
ذات صلة	2	4
الملخص	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.	The Weather Research and Forecasting (WRF) model is a mesoscale atmospheric simulation system used for weather forecasting, research, and climate applications. Developed cooperatively by NCAR, NOAA, and academic institutions, WRF became operational in 2004 and has become one of the most widely used atmospheric models worldwide.