A suite of programs aimed at producing temporal series based on the observational dataset. Daily data of precipitation, maximum temperature and minimum temperature are produced. Two different algorithms have been developed: 1) generation of single point weather data series. 2) generation of a spatially coherent two-dimensional data series. Each algorithm has a specific directory including all needed dependencies. Both algorithms depend on the agrolib library.
One dimensional Weather Generator (Richardson scheme), based on Jovanovic, NZ, Annandale, JG, Benade, N. & Campbell, GS, CLIMGEN-UP: A user-friendly weather data generator, South African Journal of Plant and Soil 20.4 (2003): 203-208.
See last release for installation and usage.
The algorithm is based on the original weather generator Mulgets https://www.mathworks.com/matlabcentral/fileexchange/47537-multi-site-stochstic-weather-generator-mulgets The code was first translated in C/C++
Dependencies:
- Qt libraries: Qt 5.x or following.
- Only for Qt 6.x : download also Qt5 Compatibility Module
Compile WG1D/Makeall_WG1D/Makeall_WG1D.pro or WG2D/Makeall_WG2D/Makeall_WG2D.pro
Agrolib libraries have been developed under contract issued by ARPAE Hydro-Meteo-Climate Service, Emilia-Romagna, Italy.
agrolib is released under the GNU LGPL license.
- Fausto Tomei ftomei@arpae.it
- Antonio Volta avolta@arpae.it
- Laura Costantini laura.costantini0@gmail.com
- Gabriele Antolini gantolini@arpae.it
- Giulia Villani gvillani@arpae.it
- Rodica Tomozeiu rtomozeiu@arpae.it
- Valentina Pavan vpavan@arpae.it
- Marco Turco marco.turco@um.es