Abstract

This python code estimates ecohydrological parameters that best fit empirical soil saturation probability density functions through Bayesian inference using a stochastic soil water balance framework. For methods description see:
Bassiouni, M., C.W. Higgins, C.J. Still, and S.P. Good (2018), Probabilistic inference of ecohydrological parameters using observations from point to satellite scales. Hydrology and Earth System Sciences, 22(6), pp.3229-3243. https://doi.org/10.5194/hess-22-3229-2018. For results from a global application see:
Bassiouni, M., S.P. Good, C.J. Still, and C.W. Higgins (2020), Plant water uptake thresholds inferred from satellite soil moisture. Geophysical Research Letters. 47(7), e2020GL087077. https://doi.org/10.1029/2020GL087077
Global dataset of ecohydrological parameters inferred from satellite observations (2020) https://doi.org/10.5281/zenodo.3351622

Published in

Publisher: Zenodo

UKÄ Subject classification

Oceanography, Hydrology, Water Resources


Publication identifier

DOI: https://doi.org/10.5281/zenodo.1257718

Permanent link to this page (URI)

https://res.slu.se/id/publ/105936