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Changeset 11512 for NEMO/branches/2019/dev_r10984_HPC-13_IRRMANN_BDY_optimization/doc/latex/NEMO/subfiles/chap_STO.tex – NEMO

Ignore:
Timestamp:
2019-09-09T12:05:20+02:00 (5 years ago)
Author:
smasson
Message:

dev_r10984_HPC-13 : merge with trunk@11511, see #2285

File:
1 edited

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  • NEMO/branches/2019/dev_r10984_HPC-13_IRRMANN_BDY_optimization/doc/latex/NEMO/subfiles/chap_STO.tex

    r11353 r11512  
    88\label{chap:STO} 
    99 
    10 \minitoc 
     10\chaptertoc 
    1111 
    1212% \vfill 
     
    118118either first principles, model simulations, or real-world observations. 
    119119The parameters are set by default as described in \cite{brankart_OM13}, which has been shown in the paper 
    120 to give good results for a global low resolution (2°) NEMO configuration. where this parametrization produces a major effect on the average large-scale circulation, especilally in regions of intense mesoscale activity. 
     120to give good results for a global low resolution (2°) \NEMO\ configuration. where this parametrization produces a major effect on the average large-scale circulation, especilally in regions of intense mesoscale activity. 
    121121The set of parameters will need further investigation to find appropriate values 
    122122for any other configuration or resolution of the model. 
     
    127127 
    128128The code implementing stochastic parametrisation is located in the src/OCE/STO directory. 
    129 It contains three modules :  
     129It contains three modules : 
    130130% \begin{description} 
    131131 
     
    150150the values $a^{(i)}, b^{(i)}, c^{(i)}$ for each autoregressive process, 
    151151as a function of the statistical properties required by the model user 
    152 (mean, standard deviation, time correlation, order of the process,\ldots).  
     152(mean, standard deviation, time correlation, order of the process,\ldots). 
    153153This routine also includes the initialization (seeding) of the random number generator. 
    154154 
     
    162162The simulation will continue exactly as if it was not interrupted only 
    163163when \np{ln\_rstseed} is set to \forcode{.true.}, 
    164 \ie when the state of the random number generator is read in the restart file.\\ 
     164\ie\ when the state of the random number generator is read in the restart file.\\ 
    165165 
    166 The implementation includes the basics for a few possible stochastic parametrisations including equation of state, lateral diffusion, horizontal pressure gradient, ice strength, trend, tracers dynamics. As for this release, only the stochastic parametrisation of equation of state is fully available and tested. \\  
     166The implementation includes the basics for a few possible stochastic parametrisations including equation of state, 
     167lateral diffusion, horizontal pressure gradient, ice strength, trend, tracers dynamics. 
     168As for this release, only the stochastic parametrisation of equation of state is fully available and tested. \\ 
    167169 
    168170Options and parameters \\ 
    169171 
    170 The \np{ln\_sto\_eos} namelist variable activates stochastic parametrisation of equation of state. By default it set to \forcode{.false.}) and not active. 
    171 The set of parameters is available in \ngn{namsto} namelist(only the subset for equation of state stochastic parametrisation is listed below): 
     172The \np{ln\_sto\_eos} namelist variable activates stochastic parametrisation of equation of state. 
     173By default it set to \forcode{.false.}) and not active. 
     174The set of parameters is available in \nam{sto} namelist 
     175(only the subset for equation of state stochastic parametrisation is listed below): 
    172176%---------------------------------------namsto-------------------------------------------------- 
    173177 
     
    176180 
    177181The variables of stochastic paramtetrisation itself (based on the global 2° experiments as in \cite{brankart_OM13} are: 
     182 
    178183\begin{description} 
    179184\item[\np{nn\_sto\_eos}:]   number of independent random walks 
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