Changes between Version 8 and Version 9 of 2019WP/ENHANCE-05_SimonM-Harmonic_Analysis


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Timestamp:
2019-08-27T14:54:14+02:00 (13 months ago)
Author:
smueller
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  • 2019WP/ENHANCE-05_SimonM-Harmonic_Analysis

    v8 v9  
    2929Rather than adapting and upgrading an existing implementation of harmonic-analysis diagnostics (the current implementation in the trunk version or an existing alternative implementation) for the latest reference version of NEMO, the development of generic multiple linear least-squares regression analysis diagnostics for NEMO as outlined below in the form of a new module `diamlr` (source:/NEMO/trunk/src/OCE/DIA/diamlr.F90), additional XIOS configuration, and an off-line tool is proposed. This new diagnostics would readily allow for tidal harmonic analysis, and module `diaharm` (source:/NEMO/trunk/src/OCE/DIA/diaharm.F90) could be removed. In addition to tidal harmonic analysis the new development would facilitate non-tidal applications, such as the identification of the seasonal cycle or linear trends in model fields. 
    3030 
     31=== The use of XIOS for regression diagnostics 
     32 
     33In general, least-squares linear regression can be formulated in terms of scalar products of all possible pairings between the dependent variable, |y>, and the regressors, |x,,m,,> (the index identifies the regressor), where each vector component represents the corresponding value at each of the time steps included in the analysis. In particular, during the model run, it suffices to accumulate the scalar products <x,,m,,|y> and <x,,m,,|x,,n,,> by summing up the respective products for each time step; at the end of the analysis interval, which does not need to be known in advance, the regression analysis can be finalised using pre-computed scalar products. 
     34 
     35The computation of the regressors formulated as functions of time, the computation of the scalar products, and the output of the scalar products in model runs with enabled linear regression analysis can be delegated to the I/O server XIOS. This would have three main benefits: 
     36 
     37* as the fields of dependent variables selected for regression analysis are typically already available in XIOS processes for regular model output, the NEMO processes would no longer have to access the large fields selected for analysis directly; 
     38 
     39* the potentially large additional amounts of temporary storage required for the computation of the scalar products would be provided by XIOS processes, and so the memory footprint of the NEMO processes would hardly be affected when enabling linear regression analysis; and 
     40 
     41* output files of partial scalar products for partial model runs can readily be generated by XIOS and re-combined later (through addition) in order to prepare sets of scalar products for various analysis intervals, including analysis intervals that span across model restarts. 
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     43 
    3144== Tests 
    3245