The python scripts and jupyter notebook of the Hauraki SIRE nitrate loading implementation described in "A non-intrusive approach for efficient stochastic emulation and optimization of model-based nitrate-loading management decision support" by White et al. There is an environmental.yml file in the archive for building a compatible conda environment. Note the version of pyEMU used in the analysis is included in the archive.

{"references": ["White, J.T., and Knowling, M.J., and Fienen, M.N., and Feinstein, D.T., and McDonald, G.W. and Moore, C.R. 2020. A non-intrusive approach for efficient stochastic emulation and optimization of model-based nitrate-loading management decision support. Environmental Modelling and Software"]}