Abstract

Abstract. The knowledge of water storage volumes in catchments and in river networks leading to river discharge is essential for the description of river ecology, the prediction of floods and specifically for a sustainable management of water resources in the context of climate change. Measurements of mass variations by the GRACE gravity satellite or by ground-based observations of river or groundwater level variations do not permit the determination of the respective storage volumes, which could be considerably bigger than the mass variations themselves. For fully humid tropical conditions like the Amazon the relationship between GRACE and river discharge is linear with a phase shift. This permits the hydraulic time constant to be determined and thus the total drainable storage directly from observed runoff can be quantified, if the phase shift can be interpreted as the river time lag. As a time lag can be described by a storage cascade, a lumped conceptual model with cascaded storages for the catchment and river network is set up here with individual hydraulic time constants and mathematically solved by piecewise analytical solutions. Tests of the scheme with synthetic recharge time series show that a parameter optimization either versus mass anomalies or runoff reproduces the time constants for both the catchment and the river network τC and τR in a unique way, and this then permits an individual quantification of the respective storage volumes. The application to the full Amazon basin leads to a very good fitting performance for total mass, river runoff and their phasing (Nash–Sutcliffe for signals 0.96, for monthly residuals 0.72). The calculated river network mass highly correlates (0.96 for signals, 0.76 for monthly residuals) with the observed flood area from GIEMS and corresponds to observed flood volumes. The fitting performance versus GRACE permits river runoff and drainable storage volumes to be determined from recharge and GRACE exclusively, i.e. even for ungauged catchments. An adjustment of the hydraulic time constants (τC, τR) on a training period facilitates a simple determination of drainable storage volumes for other times directly from measured river discharge and/or GRACE and thus a closure of data gaps without the necessity of further model runs.

Highlights

  • In the context of water resources management and climate change there is an ongoing discussion on how to assess available water resources, i.e. the storage volumes which can be used for water supply in a dynamic way beyond the limitations of sustainable extraction rates

  • This paper explores the accuracy and uniqueness of a lumped, top-down approach called a “cascaded storage” approach, which is based on the integration of given recharge in the water balance and utilizes a cascade of a catchment storage and a river network storage for a simple description of the observed time lag and the individual storage volumes

  • For a non negligible river network storage the given average values for total mass MT mean that the effective “total” time constant is given by the sum of the catchment and river time constants τT = τC + τR, which means that the total mass MT observed by GRACE is bigger than the mass MC calculated for the catchments alone

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Summary

Introduction

In the context of water resources management and climate change there is an ongoing discussion on how to assess available water resources, i.e. the storage volumes which can be used for water supply in a dynamic way beyond the limitations of sustainable extraction rates. Based on this method, Tourian et al (2018) apply an adaption of the phase shift using a Hilbert transform in order to determine the hydraulic time constants and the total drainable water storage for the sub-catchments of the Amazon basin without a consideration of the form of the R–S hysteresis To be sure, this leads to reasonable results for the sub-catchments with permanent input (Fig. 1a, c) for which the time-dependent uncoupled storage is negligible. This paper explores the accuracy and uniqueness of a lumped, top-down approach called a “cascaded storage” approach, which is based on the integration of given recharge in the water balance and utilizes a cascade of a catchment storage and a river network storage for a simple description of the observed time lag and the individual storage volumes This permits a description of the system with a minimum number of macroscopic observation data and an adaption of only two parameters, the hydraulic time constants of the catchment and the river network.

Mathematical framework
Properties and optimization performance
Catchment and river mass
Catchment and river runoff
Phasing
Parameter estimation
Fully data-driven determination of drainable storage volumes
Application to the Amazon basin
Findings
Discussion
Conclusions
Full Text
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