What’s New

Releases

Developed in Python, responsible for reading files, configuring TROVA, and generating the outputs of the moisture balance (Evaporation (E)-Precipitation (P)) for the number of days selected in the simulations.
Developed in Fortran, used in interface with Python to perform computationally demanding calculations in the shortest possible time. It also includes a parallel implementation using the MPI library to reduce TROVA’s processing time.
This new version includes the analysis of moisture sources and sinks by vertical layers.
This version allows the calculation of the residence time of water vapor in the atmosphere for particles in a target region applying the methodology of Läderach and Sodemann (2016).
This version has functions that allow the representation of moisture source and sink patterns and the representation in a 2D graph of the residence time values of water vapor in the atmosphere for particles in a target region.

Developed in Python, responsible for reading files, configuring TROVA, and generating the outputs of the moisture balance (Evaporation (E)-Precipitation (P)) for the number of days selected in the simulations.
Developed in Fortran, used in interface with Python to perform computationally demanding calculations in the shortest possible time. It also includes a parallel implementation using the MPI library to reduce TROVA’s processing time.
This new version includes the analysis of moisture sources and sinks by vertical layers.

Developed in Python, responsible for reading files, configuring TROVA, and generating the outputs of the moisture balance (Evaporation (E)-Precipitation (P)) for the number of days selected in the simulations.
Developed in Fortran, used in interface with Python to perform computationally demanding calculations in the shortest possible time. It also includes a parallel implementation using the MPI library to reduce TROVA’s processing time.