4DVar and Ensemble Kalman Filter

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Intensive Course on Data Assimilation
27 October - 7 de November, 2008
Aula Magna, Pavellion I , Ciudad Universitaria
Buenos Aires, Argentina

Last Update: October 21, 2008

Teaching Material

Exercises

Tutorial Link Linux beginners
	http://www.ee.surrey.ac.uk/Teaching/Unix/index.html

Chapter 5: Data Assimilation
in: "Atmospheric modeling, data assimilation and predictability", Eugenia Kalnay.
Cambridge University Press, 2003.


Posted Lectures ( Local Mirrow)

	KalnayIntroDataAssimOct2008Part1.pdf
	KalnayIntroDataAssimOct2008Part2.pdf
	CH5-2_OptimalInterpolation.pdf
	Saulo_RTmodels.pdf
	CH5-3_3DVar.pdf
	CH5-4_4DVAR_SCYEK.pdf
	CH5-5EnKFclass_Hong_EK.pdf
	Miyoshi3DVar.pdf
	Szunyogh_KalmanFiltering2.pdf
	Hudson_Intro_rad_trans.ppt
	Han_CRTM_lecture.pdf
	Derber_UMD_workshop_2007.pdf
	Goldberg_Sat_program_overview.pdf
	Arkin_precipitation.pdf
	LorencBayesianAssimilationQualityControl.pdf

Computational Labs Pavillion I , Ciudad Universitaria

Labs Material


	MATLAB EXERCICES.pdf
	SPEEDY EXERCICES.pdf
	GrADS_DA2008.pdf
	L63_DA.pdf
	matlab_DA2008.pdf
	SPEEDY_DA_I.pdf
	SPEEDY_DA_II.pdf
	SPEEDY_GUIDE.pdf
	SPEEDY_DA.tar.gz
	LMDA.tar.gz

Others Documents:

http://www.cima.fcen.uba.ar/~curso/index.html