Comparisons of non-Gaussian with Gaussian-based observational quality control measures and their impacts on data assimilation systems
Abstract
In this work we address the need for the correct assessment of lognormal distribution-based observational errors within the recently derived mixed-distribution-based incremental VAR data assimilation system. We present lognormal and mixed lognormal-Gaussian-based versions of the buddy check, variational bias correction, and the gross error check and apply them for different observations of the Lorenz 1963 model and compare them to the Gaussian-based versions. Finally, we assess the impacts that the different quality control measures have on a mixed Gaussian-lognormal-based static incremental 4DVAR data assimilation system with the Lorenz 1963 model.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFMNG33B0943F
- Keywords:
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- 3315 Data assimilation;
- ATMOSPHERIC PROCESSESDE: 1910 Data assimilation;
- integration and fusion;
- INFORMATICSDE: 3275 Uncertainty quantification;
- MATHEMATICAL GEOPHYSICSDE: 4468 Probability distributions;
- heavy and fat-tailed;
- NONLINEAR GEOPHYSICS