Changes between Version 2 and Version 3 of FirstSteps


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Timestamp:
Jun 24, 2018, 11:37:06 AM (6 years ago)
Author:
lnerger
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  • FirstSteps

    v2 v3  
    99== First Test Case - A Single Analysis Step ==
    1010
    11 In this test case, a data assimilation program is used to read an ensemble of model fields from files and compute an analysis step. This is the so-called offline coupling mode of PDAF.
     11In this test case, a data assimilation program is used to read an ensemble of model fields from files and compute an analysis step. This is the so-called offline coupling mode of PDAF. A full description of this test case is provided in the [wiki:PdafTutorial implementation tutorial for the offline mode of PDAF].
    1212
    1313=== Compiling ===
    … …  
    3535./PDAF_offline
    3636}}}
    37 The program computes a single analysis step of the ensemble Kalman filter ESTKF. It should not take more than a second. The program generates the
     37The program reads ensemble files and a file holding the observations from the directory `tutorial/inputs_offline/`. Then it computes a single analysis step of the ensemble Kalman filter ESTKF. Running the program should not take more than a second. The program generates the
    3838output files
    3939`state_ana.txt` (The analysis state)
    … …  
    122122As a second test case, we recommend to look at the tutorial online_2D_serialmodel.
    123123This case is again a simple 2D model field, but now coupled to PDAF with
    124 time stepping. This is the so-called online-coupling of PDAF, in which the model code is augmented with data assimilation functionality provided by PDAF.
     124time stepping. This is the so-called online-coupling of PDAF, in which the model code is augmented with data assimilation functionality provided by PDAF. A full description of this test case is provided in the [wiki:PdafTutorial implementation tutorial for the online mode of PDAF].
    125125
    126126=== Compiling ===
    … …  
    151151}}}
    152152The program computes a sequence of 9 analysis steps with two model time
    153 steps in between subsequent analysis steps. The assimilation uses of the
     153steps in between subsequent analysis steps. The initial ensemble are read from the directory `tutorial/inputs_online/`, where also the observation files are stored. The assimilation uses of the
    154154ensemble Kalman filter ESTKF. It should not take more than a few seconds.
    155155The program generates the