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MeteoIO-2.11.0
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Created with Raphaël 2.2.0
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9
In order to be able to read arc grids produced by R, the headers are now read in a case insensitive manner
libsmet: further speed improvement
speeding up IOUtils convertString<double>: Adding an explicit implementation for the conversion of strings to doubles, based on strtod from the cstdlib. This function cuts the runtime of this function to about a third.
libsmet: a new convert_to_double implementation, based on strtod from the cstdlib, cuts conversion time to about a fourth of the stringstream implementation.
GSNIO: bugfix and speed improvement
Added a hillshade algorithm to DEMObject
GSNIO: Further speed improvements by optimizing parse_streamElement with static variables
GSNIO: 30% speed increase with a few tricks
GSNIO: Updating documentation
Small code and documentation clean up
GSNIO: cleanup
GSNIO: 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 warnings
GSNIO: Further cleanup
GSNIO: cleanup
GSNIO: 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 necessary
GSNIO: bugfix for getAllStations, last station was omitted, fixed now
GSNIO: 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 krigging
The 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 update
The Forland1996 undercatch correction as well as the coefficients for WFJ as calculated by Nander Wever have been implemented
Two 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...
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