The filters have been slightly simplified, some IOUtils functions optimized (after reading an interesting post about the handling of rvalues), a bug fixed in PNGIO on Windows, the macros MAX and MIN are not used anymore (relying on std::max and std::min instead). A new data generator is on its way to generate HNW from HS differences (but this will require architectural changes to the DataGenerator).

Units were inconsistent when adding precip height (in mm) to DEM (in m). This has been fixed with a scaling factor.
DEM update command now added. 

The noisy linear fit now removes points based on their distance to the regression line (this should be marginally better but is anyway simpler and faster). 

The new usage timers have been slightly cleaned up for white spaces and for precision (casting to long double first in order to avoid loss of precision as shown with the previous timers). The declaration order in the class now takes care of alignments issues.

The new UsageTimer as being used in the benchmarks for the MeteoIO paper - comments and WIndows version pending.

fixing issue 303: if swe>0, then we accept all delta_swe>=0 (since 0 is also a valid value!). Moreover, it is now possible to properly generate a composite HNW: IMIS in the summer and Snowpack in the winter.

changing search priorities so compiling the examples gets more pleasant (ie searching first the source tree and then the installation paths)

Fixing some warnings for Visual C++ and also using ostringstream instead of stringstream when appropriate

Removing the approximated solar radiation daily sum, since it contains a projection error (it seems to project twice to the horizontal)

Finally, another method for handling daily sums of solar radiation has been implemented: when a point is requested, the potential solar radiation is computed for the whole day with a 20 minutes resolution, filling a vector and computing the daily sum. This enables to compute the loss factor. When another point within the same day is requested, the radiation is interpolated from the values stored in the vector and multiplied by the loss factor. Tested on WFJ data, this works very well (of course, days that experience large cloudiness variations are not reproduced well but at least the average flux is correct).

A typo has been fixed in the documentation of Date. 

Now the dates can be rounded to the day (there was a bug preventing it before). A new parametrization has been implemented in SunObject that computes the daily sum of TOA radiation. This is used by a new resampling method that computes subdaily values out of a daily sum of radiation. This is not yet doing such a great job, but this is a start...

Since Rob has committed his precipitation spatial interpolation, the 2D_interpolation reference result had to be updated. Several members in filter classes could be made const/static/private.

Slightly improved documentation on spatial interpolations and now really allowing linear regression on only 2 points

Some headers were not included and the header files were not listed in any kind of convenient order... This is not fixed (find meteoio -name "*.h" | sort gives the order we follow)

Redesigned algorithm for redistribution of solid precip on steep slopes. This is done by pushing precip from the top to the bottom of the slope.
Curvature correction has been turned off. Now this redesign will be validated with laser-scanner data. 

The info string for the spatial interpolations was not being cleared between calls, leading to ever increasing content... Otherwise, using an ostringstream instead of stringstream in PNGIO and fixed a typo in the documentation.

More size_t fixes (ie trying to be consistent) and a bug was found when spatially interpolating using a few specific algorithms that would not reset their internal vectors between two calls (thanks Matteo for helping uncover this bug!)

Some "TODO" have been removed, a missing check has been added in Interpol1D:linRegression (at least 2 valid points are required), type inconsistencies have been fixed in FilterTukey and ProcessinStack. However using size_t for the meteo parameter index is not necessarily a good idea and this will require a careful review.

Finally trying to address the unsigned int vs size_t issue... All index, etc that should be size_t have been made size_t in the data classes.

More changes, according to "Using OCCI: best practices - An Oracle White Paper - May 2003". Now the same Statement object is used accross multiple querries (to reduce memory reallocations).

Data prefetching is now turned ON in Oracle querries, leading to a x2 speed up (global speed up measured on data_converter)