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 [email protected]
• Antonio Volta [email protected]
• Laura Costantini [email protected]

• Gabriele Antolini [email protected]
• Giulia Villani [email protected]
• Rodica Tomozeiu [email protected]
• Valentina Pavan [email protected]
• Marco Turco [email protected]