เปรียบเทียบวิธี

	การวิเคราะห์ความแปรปรวนร่วมสูงสุด	แบบจำลอง WRF
สาขาวิชา	อุตุนิยมวิทยา	อุตุนิยมวิทยา
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1992	2000
ผู้ริเริ่ม	Bretherton, Wallace	Skamarock and Klemp
ประเภท	Covariance decomposition method	Atmospheric simulation system
แหล่งต้นตำรับ	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.
ชื่อเรียกอื่น	MCA, Singular value decomposition, SVD analysis, Covariance analysis	Weather Research and Forecasting, WRF, ARW, NMM
ที่เกี่ยวข้อง	2	4
สรุป	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.