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Pre-release

This release is a pre-release and may not be stable for production use.

The data assimilation Water Use and Agricultural Productivity model (daWUAP) is a hydro-economic model that couples an economic model of agricultural production calibrated using positive mathematical programming (PMP) and a semidistributed rainfall-runoff-routing model that simulates water available to producers.

Features:

  • Calibration of economic component can use standard the mathematical programming method or a new recursive stochastic filter.
  • Stochastic calibration permits to obtain simulation results of agricultural outputs (land and water allocation, etc) as probability distributions that reflect the quality of the calibration.
  • Recursive stochastic filter permits calibration of economic model with noisy but frequent remote sensing observations of agricultural activity.
  • Model permits to trace the effect of producer choices on the hydrologic system and on other users.

Contributions and comments are welcome at Github.

Release files for daWUAP 0.3.0.dev0

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Source distribution (sdist)

Source distribution for daWUAP 0.3.0.dev0
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Table of built distributions (wheels) for daWUAP 0.3.0.dev0
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daWUAP-0.3.0.dev0-py3-none-any.whl Python 3 none any Details

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Release files / daWUAP-0.3.0.dev0.tar.gz

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Release files / daWUAP-0.3.0.dev0-py3-none-any.whl

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