Changes between Version 2 and Version 3 of Lorenz_96_model


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Timestamp:
Aug 16, 2018, 3:53:31 PM (4 months ago)
Author:
lnerger
Comment:

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  • Lorenz_96_model

    v2 v3  
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     118== Run options ==
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     120The implementation for the Lorenz-96 model has a wide range of options. For the full set, we reommend to check the list in the file init_pdaf.F90. Essentiall all of the options can be specified on the command line in the format '-VARIABLE VALUE', where VARIABLE is the name of the variable in the program and VALUE is its value. The experiments in `runasml.sh` are executed like
     121{{{
     122./pdaf_lorenz_96 -total_steps 5000 -step_null 1000 -dim_ens 30 -filtertype 1 -forget 0.99 -file_asml t1_N30_f0.99.nc
     123}}}
     124the meaning of the different options is explained below.
     125
     126||= Variable =||= Description =||= Default value =||
     127|| dim_ens || ensemble size || 30
     128|| file_asml || the name of the output file || assimilation.nc ||
     129|| filtertype || Specifies the filter to use; 1 sets the SEIK filter || 1 ||
     130|| forget  || value of the forgetting factor for multiplicative variance inflation || 1.0 ||
     131|| step_null || initial time step of experiment. This specifies the offset of the observations which are generated from a model forward run. A value 1000 avoids the spin-up phase of the model || none - always set it ||
     132|| total_steps || number of time step in the experiment || none - always set it ||
     133
     134Some further options
     135
     136||= Variable =||= Description =||= Default value =||
     137|| delt_obs  || time interval between observation, i.e. for forecast length || 1 ||
     138|| dim_lag   || set the time lag for the smoother (the smoother is actiave for dim_lag>0) || 0 ||
     139|| local_range || localization radius in grid points || 5 ||
     140|| locweight || choose localiztion weight function, e.g. 4 is the 5th-order polynomial mimicking a Gaussian (see Gaspari and Cohn 1999) || 0 ||
     141|| model_error || a logical variable activiting model error noise || .false. ||
     142|| model_err_amp || amplitude of the model error || 0.1 ||
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