Explore a comprehensive conference session on data assimilation in geosciences from the 2012 AGU Fall Meeting. Delve into topics including hybrid ensemble-variational data assimilation for numerical weather prediction, land surface data assimilation, model error representation in convective-scale ensembles, data assimilation for applied meteorology, and correction of bathymetry using adjoint components. Learn about simultaneous data assimilation of CO2 and meteorological variables, as well as ensemble data assimilation in the wind industry. Gain insights from invited speakers and various presenters on cutting-edge techniques and applications in this critical field of geosciences.
Overview
Syllabus
Introduction
History of Hybrid Data Simulation
GSI Hybrid System
Parallel Data Submission Framework
Ensembl Common Filter
TwoWay Couple
Flowchart
Cross Variable Update
GFS Ensemble Forecast
GFS Ensemble Hybrid
Results
Summary
References
Ensembl
MLF
Localization Matrix
Goals
Methods
Land
Snow
Snow Water Equivalent
NASA Goddard
Model Uncertainty Representations
Motivations
SCAP
Experiment Setup
Experiment Results
Extended Forecast Results
Adaptive Inflation
Conclusions
Thank you
Multiparameter error scheme
Laura Baker
Ensembles
Random Parameters Scheme
Taught by
AGU
