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AOSC614: Atmospheric Modeling, Data Assimilation and Predictability

Atmospheric Modeling, Data Assimilation and Predictability
GPA: 3.73
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Prerequisite: METO 610 or permission of instructor. Recommended: METO 611. Formerly METO 614. Solid foundation for atmospheric and oceanic modeling and numerical weather prediction: numerical methods for partial differential equations, an introduction to physical parameterizations, modern data assimilation, and predictability.
 

Historical Grade Data for AOSC614

OverallGrade Data for 40 students in 5 sections over 5 semesters.
3.72
75% A(20% A+47% A33% A-)
23% B(33% B+67% B0% B-)
3% C(0% C+100% C0% C-)
0% D(0% D+0% D0% D-)
0% F(5% Drop)
 
 

Historical Grade Data for Professors that Taught AOSC614 in the Past

Kalnay, E
(0 Reviews)
Grade Data for 40 students in 5 sections over 5 semesters.
3.72
75% A(20% A+47% A33% A-)
23% B(33% B+67% B0% B-)
3% C(0% C+100% C0% C-)
0% D(0% D+0% D0% D-)
0% F(5% Drop)
 

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