Wednesday, 4 July 2018


Morning Session: Nature of Background Error

0900
Loïk Berre, Benjamin Ménétrier
Simulation and diagnosis of observation, model and background error contributions in data assimilation cycling

0920
Amal El Akkraoui, Ricardo Todling, Ron Errico
How much model error in a 6h ensemble forecast?

0940
Nedjeljka Žagar
Growth of forecast errors in global NWP models and inertia-gravity wave dynamics

1000
Žiga Zaplotnik, Nedjeljka Žagar
Inertio-gravity waves in 4D-Var

1020
Coffee Break

1040
Polly Smith, Amos Lawless, Nancy Nichols
Estimating forecast error covariances for strongly coupled atmosphere-ocean 4D-Var data assimilation

1100
Amos Lawless, Polly Smith, Nancy Nichols
Treating sample covariances for use in strongly coupled atmosphere-ocean data assimilation

1120
Zhaoxia Pu, Junkai Liu
Characteristics of covariances between land and low-atmosphere states and their influences on coupled data assimilation

1140
Elizabeth A. Satterfield, Daniel Hodyss, David Kuhl, Craig Bishop
Observation informed generalized hybrid error covariance models

1200
Steven Fletcher, Postdoc, Anton Kliewer, John Forsythe, Andrew Jones
Comparisons of mixed Gaussian-lognormal, logarithmic transform and Gaussian fits all based on temperature-mixing ratio microwave retrieval systems

1230
Lunch

1400
Afternoon Free Activities

1930
Dinner

2000
Andy Moore
Evening Lecture (TBD)