Data Assimilation lecture 3

[@ramiedirisinghe3141]

Thank for for making this series of videos. I needed a primer on data assimilation for some papers I'm reading and this helped quite a bit!

[@ljmiranda921]

Thank you so much for this very informative lecture!

[@oriabnu1]

sir, i love your lectures, i am from Pakistan and study in china, youtube lectures one source to learn and big hope

[@ahmedgharieb5252]

Hi

[@samuelchen7078]

Thank you, Mr. Kutz! Great presentation of DA!

[@jeffalbertson804]

Thank you Prof. Kutz

[@misnik1986]

excellent video professor, thanks a lot

[@richards.7201]

Outstanding lecture for my curiosity in how the weather forecast models work.

[@NeoxX317]

Thank you, you make it so easy !

[@kenzaboubchir3794]

We can't see what you wrote in the second script ( the function rhs)
I just see "function rhs=lor_rhs(....,x,....,sigma,b,r)"
the first variable is it "t" ?
what about the third one please ?

[@augustogabriel5572]

function rhs=lor_rhs(t,x,dummy,sigma,b,r)
rhs=[sigma*(-x(1)+x(2))
-x(1)*x(3)+r*x(1)-x(2)
x(1)*x(2)-b*x(3)];

[@ericxiu8601]

Learnt a lot, thanks

[@oriabnu1]

sir i request to lunch lectures on Unscented Kalman Filter and ensemble Kalman filter and its complexity, no standard material available on youtube