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1
Introduction
2
History of Hybrid Data Simulation
3
GSI Hybrid System
4
Parallel Data Submission Framework
5
Ensembl Common Filter
6
TwoWay Couple
7
Flowchart
8
Cross Variable Update
9
GFS Ensemble Forecast
10
GFS Ensemble Hybrid
11
Results
12
Summary
13
References
14
Ensembl
15
MLF
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Localization Matrix
17
Goals
18
Methods
19
Land
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Snow
21
Snow Water Equivalent
22
NASA Goddard
23
Model Uncertainty Representations
24
Motivations
25
SCAP
26
Experiment Setup
27
Experiment Results
28
Extended Forecast Results
29
Adaptive Inflation
30
Conclusions
31
Thank you
32
Multiparameter error scheme
33
Laura Baker
34
Ensembles
35
Random Parameters Scheme
Description:
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.

Data Assimilation in Geosciences - Fall Meeting 2012

AGU
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