A collection of PCSE notebooks

This repository provides a set of notebooks that demonstrates various aspects of PCSE models.

The notebooks include introductory examples:

• 01 Getting Started with PCSE provides an impression of how PCSE works and what you can do with it
• 02 Running with custom input data shows how you can run a model using your own input data instead of the demonstration data.
• 03 Running LINTUL3 a similar example, but instead using the LINTUL3 model instead of WOFOST.
• 04 Running PCSE in batch mode demonstrates how to run PCSE simulation in batch for a series of crops and year
• 13 Simulating grassland productivity with LINGRA demonstrates the LINGRA model for simulating productivity of grasslands
• 14 Build your own model with PCSE: demonstrates how developing models works in PCSE.

Some more advanced features of PCSE are demonstrated in:

• 05 Using PCSE WOFOST with a CGMS8 database this shows how to retrieve data from a CGMS database and run crop model simulations with WOFOST using that data.
• 06 Advanced agromanagement with PCSE demonstrates advanced aspects of the agromanagement definitions including scheduling events based on date and state variables.
• 07 Running crop rotations provides insight on how to run crop rotations with PCSE models.

More advanced subjects are treated that require quite some background knowledge and python programming skills:

• 08a Data assimilation with the EnKF provides an introduction to data assimilation with the ensemble Kalman filter.
• 08b Data assimilation with the EnKF multistate demonstrates how to effectively load multiple states into the EnKF state vector.
• 09 Optimizing parameters in a PCSE model demonstrates how to do parameter optimizations in PCSE.
• 10 Sensitivity analysis of WOFOST demonstrates how to use SAlib for sensitivity analysis
• 11 Optimizing partitioning parameters demonstrates calibration of tabular parameters.

Finally, some notebooks on the new WOFOST 8.1 with the advanced water and C/N balance:

• 12 Simulating with WOFOST 8.1 SNOMIN demonstrates the WOFOST 8.1.
• 15 Run WOFOST 8.1 SNOMIN with SoilGrids demonstrates how to derived soil parameters for SNOMIN from SoilGrids.

Dependencies

Using these notebooks generally require a python environment that includes the following packages:

• PCSE and its dependencies
• matplotlib
• The NLOPT optimization library (notebooks 09, 11)
• The SAlib library (notebook 10)