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Created with Raphaël 2.2.016Jan1513121110973219Dec181312643225Nov2120151392131Oct30282625242321181511542130Sep2423201816131092130Aug2926139531Jul26252423191715528Jun271914531May2725242322212016141310818Apr171110828Mar2625232221191814131211105428Feb211815141311872131Jan30292824221098729Dec119654330Nov2827262322212011543231Oct3029282524232217122124Sep2019181731Aug24232015976131Jul2724232019171627Jun262523212019181611854131May302524232221161411109854330Apr171410753231Mar29282623211916131297652127Feb2423201716151413111098732131Jan3027252320191817161312111097643225Dec23222019Nov1816151413111098732131Oct302423211711643229Sep2726222120191312231Aug302924232216830Jul28272620191815765430Jun242320181610830May2726252419181716131211107421Apr2016151330Mar2925242322211918171615111098543Small code and documentation clean upGSNIO: cleanupGSNIO: Missing NULL values and missing fields and units keys in the header have been fixed on the GSN server side. Plugin updated accordingly.fixing some size_t warningsGSNIO: Further cleanupGSNIO: cleanupGSNIO: Now we can deal with offsets and multipliers, which are sometimes indicated in a UTF8 string after the fields definition in the header. The units are given as "°C" or "%" for instance. Thus we can perform a calculation to MKSA. GSNIO: Cosmetic adjustments. If the user requested station does not exist, there will be an exception thrown. Otherwise the most pressing issue remains the NULL values in GSN.GSNIO: Adding a few couts for debugging GSNIO: reading of meteo data works now. However there are the usual GSN issues, which are plentiful and painful:Date class: correcting epsilon to 1/24/3600.025 - this seems to be numerically sound, need to test!Date class: Small adjustment for epsilon (which is used in equality checks)GSNIO: now rudimentary reading of data works, however output is verbose, cleanup necessaryGSNIO: bugfix for getAllStations, last station was omitted, fixed nowGSNIO: reading of StationData now works perfectly,although terribly slow, due to the fact that it is not possible to retrieve meta data for a selected number of stations only.GSNIO based on libcurl: first version, only able read meta data.small touch up on the kriggingThe LIDW_LAPSE method is now back. It still works the same, ie it can produce very unatural results depending on the stations set that is used!Deleting old GSNIO plugin based on SOAP messages and adding new framework based on REST API and libcurl (gnutls variant).Unused parameter r2 in Interpol2D::LLIDW_pixel()The version number has been changed to 2.4.1 (this will most probably be an internal release shipped with Snowpack).UsageTimer: on restart() call start()More documentation updates!Cosmetic fixes and documentation updateThe Forland1996 undercatch correction as well as the coefficients for WFJ as calculated by Nander Wever have been implementedTwo new undercatch corrections have been implemented: for the Chinese Standard Precipitation Gauge and for the shielded Geonor gauge.A line was commented out that should not have been... Therefore the geolocalization information was not properly read!This addresses issue 335 by providing data quality output (it has to be enabled at compile time): it reports all points that have been filtered or corrected as well as all points that had to be resampled to replace a nodata value by a proper value (ie resampling between measured points is not reported).A small bug has been found in the Unsworth generator (when iswr>0 && rswr==0, this was leading to a division by 0). A suppression filter has been implemented (it simply deletes all the data for a given parameter).More work on the Unshade processing element. Unfortunatelly, it is slow, it works very poorly and it is complicated... This is the very preliminary version of a filter to remove shade on a short wave radiation sensor: when both ISWR and RSWR are measured, we compute the measured albedo, remove all points that are out of range, filter with a MAD filter, linearly re-interpolate the albedo for the missing points (either no measured albedo or filtered out) and then reconstruct the chosen signal (either ISWR ort RSWR) using the albedo and the other signal as reference. This would most probably be most useful on ISWR, but who knows...The date rounding was not always working properly since it was rounding the GMT date. This has been fixed (so rounding a local time down to the nearest day now properly returns the local day at 00:00). Identation correction in libinterpol1D.Documentation update: hopefuly clearer for first time users (more links added) and removing an obsolete comment in AccumulateFinally! Handling precipitation redistribution before re-accumulation (ie the 24 hours sums provided in an otherwise hourly data file) now works with non-uniform timesteps. This introduced some runtime performance hit (~10% slower) but better accomodate the needs of our users!Oups, after some bug fixes on Sun, I forgot to update the tests...Finally, it is now posible to handle precipitation data provided as 24 hours sums in an hourly data file and resample them as 15 minutes sums. The limitations are: no time offset between the requested sampling period and the measured accumulation period; only constant sampling in the data file (ie no variations in the sampling period in the data file).Finally, the reaccumulation looks good and seems to work in all conditions. Using a measuring period different from the file sampling rate (ie daily accumulation in a hourly-sampled file) is not supported yet, but this should now come very soon!The reaccumulation refactoring is moving forward. This commit is not so clean (lots of commented out debugging output, since this is a work in progress) but it "mostly works". The problem that is left is that the dwonsampling produces yearly sums a little bigger than they should (ie we are double-counting somewhere). But it compiles, it runs and it is "almost" correct. The simple upsampling works properly (ie producing 15 minutes values out of hourly data).Paving the way for very exciting stuff for reaccumulating precipitation. For now, major code cleanup and simplification. Watch out, there might be cases where this does not work anymore!The potential radiation generator had a bug when generating data without any ISWR nor RSWR. The sunrise and sunset calculations in Suntrajectory where actually not in GMT as advertised.
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