SOFTWARE TOOL   ecosystem Production in Space and Time - ePiSaT
DEVELOPERS   Bradley Evans (eMAST, Macquarie University), Colin Prentice (eMAST, Macquarie University, Imperial College), Tyler W. Davis, Xavier Gilbert (Imperial College)
APPLICATION   Estimate ecosystem variables.

The ecosystem Production in Space and Time (ePiSaT) is a software that enables hind-cast modelling of monthly Gross Primary Production (GPP) for the Australian continent using a variety of input data sources.

The software consists of two main parts;

(A) A data abstraction layer, containing tools for formatting model inputs neccesary to model GPP, and
(B) A model core containing tools for calibration and validation of the model against Australian flux tower observations and ultimately, gridded monthly hind-casts of GPP.

The software was designed “by the community for the community”, meaning it is intended to be used for generating new “simple models” using the authors own model as the benchmark. This purposely-inbuilt transparency makes it a sustainable platform for future generations of GPP models of this kind.

As such, the software package has the following general features:

  • It is capable of reading and re-gridding a range of datasets from the Terrestrial Ecosystem Researcg Network, Australian Government Bureau of Meteorology and Geoscience Australia. This software layer is called- The Data Abstraction Layer (TDAL).
  • It features a modular design, making it usable as a stand-alone tool OR embedded inside another workflow OR ported to a completely novel model core.
  • It facilitates point-to-point calibration and validation against OzFlux tower data across a range of spatial and temporal scales.
  • It has been written in an open source language with the intention of ongoing, cross platform interoperability.

The software has been written as an R-Project package. The package, together with a set of tolls and instructions is available for download on GitHub.

This project is supported by the Australian National Data Service (ANDS). ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program (NCRIS) and the Education Investment Fund (EIF) Super Science Initiative.