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Optimization of NWP model closure parameters using total energy norm of forecast error as a target
NWP model closure parameters forecast error
2014/12/19
We explore the use of dry total energy norm in
improving numerical weather prediction (NWP) model forecast skill. The Ensemble Prediction and Parameter Estimation System (EPPES) is utilized to estima...
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
Root mean square error absolute error
2014/12/18
Both the root mean square error (RMSE) and the
mean absolute error (MAE) are regularly employed in model
evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good i...
Quantifying the model structural error in carbon cycle data assimilation systems
Quantifying the model structural error carbon cycle data assimilation systems
2014/12/17
This study explores the impact of the structural error of biosphere models when assimilating net ecosystem exchange (NEE) measurements or CO2 concentration measurements to optimise uncertain model par...
Impact of a time-dependent background error covariance matrix on air quality analysis
Surface of assimilation system analysis of ozone the covariance matrix data assimilation system physical state
2014/12/10
In this article we study the influence of different characteristics of our assimilation system on surface ozone analyses over Europe. Emphasis is placed on the evaluation of the background error covar...
Construction of non-diagonal background error covariance matrices for global chemical data assimilation
Chemical data assimilation To optimize the noise Model predictions Chemical state
2014/12/9
Chemical data assimilation attempts to optimally use noisy observations along with imperfect model predictions to produce a better estimate of the chemical state of the atmosphere. It is widely accept...