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Created with Raphaël 2.2.028Jul27242120191817141211107654330Jun292827232120191615141312987631May241918161225Apr2120191110764331Mar30292827232220171615141310987624Feb2322211613862131Jan3026252423131211923Dec2116138530Nov2524171410984331Oct2825242120754330Sep292827262322211615141312875231Aug26252423221918171510983228Jul22211227Jun23211710973227May252319171413115426Apr181514875131Mar2422211815987432129Feb2624232010985329Jan282726252220141312118622Dec2118974330Nov272625242019181716115431Oct282322151286130Sep2928252322109872131Aug282711107330Jul28272321201716139872130Jun241716151210929May2721626Apr1410982131Mar3026252425Feb1713111086330Jan232022Dec1918171284227Nov2524201813121110731Oct30292822211397632130Sep161443229Aug27262522212019151412431Jul27181411109826Jun252419181716141053229May262321191612119876Code cleanup to make clang happyWhen evaluating the cloudiness, it is important to know if it is night or day. If ISWR==nodata and use_rswr=false, this was not evaluated anymore, losing some important information (even if the albedo evaluation is very imprecise, at least it can be used to decide if it is night or day). This has been fixed, but how to best temporally interpolate the cloudiness still has to be adressed...Documentation improvement and more logical "if ... then ... else ..." orderMore options have been exposed for the IIR filter and its "type" now describes another option. The documentation has been expanded.Now, RSWR is NOT anymore used by default to compute ISWR in the AllSky and TauCLD generators, it must be forced with USE_RSWR (since it is not very performant)More code factorization, improved error messagesThe new, named arguments syntax has been brought to the Meto1DInterpolationsmaking the Meteo1DInterpolator structure closer to DateCreator / ProcessingBlock, etcDocumentation fixesDocumentation improvement: providing reasonnable values for an atmospheric emissivity lapse rateSmall documentation improvementsThe NOISE filter has been merged with Add and Mult, respectively. The syntax of these two filters has been changed and it is now mandatory to provide a "type" argument.The getInfo() method was not reporting the information for the multi-trend model...First implementation of the multi-linear fit in InterpolationsAlgorithms. We will see how it performs... (ie it is probably not a good idea to use it yet)Making the FitMult class as similar as possible to FitModelThe new Trend class now has a toString() methodFitModel::min_nb_pts is not const anymore since this was required for properly handling user-defined lapse rates. The multiple linear interpolation class has a new structure, more along the lines of the other statistical regression models. A few more checks have been implemented. Tests conducted for precipitation in the Valais are very promising: the R2 jumps from ~0.25 (yearly average) to ~0.6 when using 3 predictors (alt, east, north).More documentation, more checks for the multiple linear regressionThe R2 is now computed in another way, the Beta0 was forgotten and is now computed and more checks are performed on the input data.A new class has been implemented that performs multiple linear regressions. The syntax of getParams() has been changed.Oups, the debug code was still around...Better error messages and fixed a possibly uninitialized variableBetter support for the grids: fixed units conversions are assumed and the ISWR is reconstructed from dir+diffCode cleanup, constifying some variablesThe Oshdio plugin has been cleaned up and can now read gridded dataThe exception messages should now be much better on WindowsThe SUPPR filter now allows supressing dates within given date ranges, one a per station basis.Cleanup before bigger changesFor the ADD and the MULT filters, it is now possible to use multi-columns corrections files and to specify which column should be used. Paving the way for multivariate regressions: the whole vecMeta is passed to the Trend classDocumentation improvementsThe handling of detrending / retrending is now much cleaner, only one class is responsible for it.Simplifying the prototypes of the spatial interpolation algorithms. When there is no need of a GridsManager or a Meteo2DInterpolator (as is most often the case), these are not provided to the constructor.A new option has been added to the SwRad spatial interpolation algorithm in order to project the radiation fields on the slopes (by default, they are on the horizontal).Still the same part of the documentationAfter discussions with Riccardo, added a small explanation (analogy) about libraries...An erroneous syntax prevented cmake from finding the FindMeteoIO from the standalone examplesAdded a getNx() and a getNy() call (similar to grids, but valid indices are from 1 to Nx and 1 to Ny)White spaces and one (obvious) implementation moved to the header