Metadata-Version: 2.1
Name: daWUAP
Version: 0.2.0.dev0
Summary: Hydrologic Engine for daWUAP model
Home-page: https://bitbucket.org/umthydromodeling/dawuaphydroengine
Author: Marco Maneta
Author-email: marco.maneta@umontana.edu
License: UNKNOWN
Download-URL: https://bitbucket.org/umthydromodeling/dawuaphydroengine/get/a88ac8f68b01.zip
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: rasterio
Requires-Dist: rasterstats
Requires-Dist: fiona
Requires-Dist: shapely
Requires-Dist: tqdm
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: tables
Requires-Dist: fire
Provides-Extra: test
Requires-Dist: nose ; extra == 'test'
Requires-Dist: mock ; extra == 'test'


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.](https://bitbucket.org/umthydromodeling/dawuap.git)


