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Smurf: System for Modelling with Uncertainty Reduction, and Forecasting Cover

Smurf: System for Modelling with Uncertainty Reduction, and Forecasting

Open Access
|Feb 2021

Figures & Tables

Figure 1

Data assimilation scheme. (a) At each cycle k of the KF, an analysis (red squares) is calculated from the comparison of the background (blue dots) with the observation (green stars). (b) At each cycle k of the EnKF, an ensemble of analyses (red squares) is calculated from the comparison of each background (blue dots) with the observation (green stars).

Table 1

Set up of the twin experiments for the model parameters (MP), the boundary conditions (BC) and the initial condition (IC).

MPBCIC
ρνu_westyxmagnitude
Reference1.01.020.010101.0
Control 15.00.510.010101.0
Assim 1и[0.5, 8.5]и[0.2, 1.2]и[0.0, 20.0]10101.0
Control 21.01.020.01282.0
Assim 21.01.020.0и[10, 14]и[6, 10]и[1.0, 3.0]
Figure 2

Final tracer field (t = 0.1 s) of the reference experiment. The green cross symbols show the locations of the observations.

Figure 3

Test case 1: root mean square of the final tracer field error (t = 0.1 s) with respect to the reference experiment. The green cross symbols show the locations of the observations.

Figure 4

Test case 1: histogram of the parameter values before (blue) and after (red) DA analysis.

Figure 5

Test case 2: root mean square of the final tracer field error (t = 0.1 s) with respect to the reference experiment. The green cross symbols show the locations of the observations.

Figure 6

Test case 2: histogram of the source position and magnitude before (blue) and after (red) DA analysis.

Figure 7

Smurf architecture. The different colors refer to the different classes: Experiment (blue), Model (purple), Assim (red), Instrument (green) and Perturbation (orange). Lines ending with an arrow indicate the next step in the chain, whereas lines ending with a dot indicate a call to another class method. Dashed lines are specific to ensemble systems such as the EnKF.

DOI: https://doi.org/10.5334/jors.312 | Journal eISSN: 2049-9647
Language: English
Submitted on: Dec 5, 2019
Accepted on: Nov 18, 2020
Published on: Feb 5, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Isabelle Mirouze, Sophie Ricci, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.