Applying transfer function-noise modelling to characterize soil moisture dynamics: a data-driven approach using remote sensing data-Reference-Cited by-同舟云学术

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Applying transfer function-noise modelling to characterize soil moisture dynamics: a data-driven approach using remote sensing data

Published:2020-09 Issue: Volume:131 Page:104756
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Pezij Michiel,Augustijn Denie C.M.,Hendriks Dimmie M.D.,Hulscher Suzanne J.M.H.

Funder

Netherlands Organisation for Scientific Research

Publisher

Elsevier BV

Subject

Ecological Modelling,Environmental Engineering,Software

Reference85 articles.

1. Nearly two decades of neural network hydrologic modeling;Abrahart,2010

2. Analytic modeling of groundwater dynamics with an approximate impulse response function for areal recharge;Bakker;Adv. Water Resour.,2007

3. Calibration of transient groundwater models using time series analysis and moment matching;Bakker;Water Resour. Res.,2008

4. Solving groundwater flow problems with time series analysis: you may not even need another model;Bakker;Ground Water,2019

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