Published December 27, 2019
| Version v1
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Archive for Hauraki SIRE implementation
Description
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.
Files
hauraki_sire.zip
Files
(41.9 MB)
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md5:6d373e3ea0d3066c620467aa70c4dd70
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Additional details
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