A generic template for adding a new model to PEcAn

Adding a new model to PEcAn in a few easy steps:

1. add modeltype to BETY
2. add a model and PFT to BETY for use with modeltype
3. implement 3 functions as described below
4. Add tests to tests/testthat
5. Update README, documentation
6. Update Dockerfile and model_info.json
7. execute pecan with new model

Three Functions

There are 3 functions that will need to be implemented, each of these functions will need to have MODEL be replaced with the actual modeltype as it is defined in the BETY database.

• write.config.MODEL.R

This will write the configuratin file as well as the job launcher used by PEcAn. There is an example of the job execution script in the template folder. The configuration file can also be a template that is found based on the revision number of the model. This should use the computed results specified in defaults and trait.values to write a configuration file based on the PFT and traits found.

• met2model.MODEL.R

This will convert the standard Met CF file to the model specific file format. This will allow PEcAn to create metereological files for the specific site and model. This will only be called if no meterological data is found for that specific site and model combination.

• model2netcdf.MODEL.R

This will convert the model specific output to NACP Intercomparison format. After this function is finished PEcAn will use the generated output and not use the model specific outputs. The outputs should be named YYYY.nc

Dockerization

The PEcAn system is leveraging Docker to encapsulate most of the code. This will make it easier to share new model with others, without them having to compile the models. The goal is for people to be able to launch the model in docker, and it will register with PEcAn and is almost immediatly available to be used. To accomplish this you will need to modify two files.

• Dockerfile

The Dockerfile is like the Makefile for docker. This file is split in two pieces the part at the top is to actually build the binary. This is where you specify all the libraries that are needed, as well as all the build tools to compile your model. The second part, starting at the second FROM line, is where you will install only the libraries needed to run the binary and copy the binary from the build stage, using the COPY --from line.

• model_info.json

The model_info.json describes the model and is used to register the model with PEcAn. In the model_info.json the only fields that are really required are those at the top: name, type, version and binary. All other fields are optional but are good to be filled out. You can leave version and binary with the special values which will be updated by the Dockerfile.

Once the image can be build it can be pushed so others can leverage of the model. For PEcAn we have been using the following naming scheme for the docker images: pecan/model-<model>-<model_version>:<pecan_version> where the model and model_version are the same as those used to build the model, and pecan_version is the version of PEcAn this model is compiled for.

Additional Changes

• README.md

This file should contain basic background information about the model. At a minimum, this should include the scientific motivation and scope, name(s) of maintainer(s), links to project homepage, and a list of a few key publications. relevant publications.

• /tests/testthat/

Each package should have tests that cover the key functions of the package, at a minimum, the three functions above.

• documentation

Update the NAMESPACE, DESCRIPTION and man/*.Rd files by running

devtools("models/<modelname>/")