Ob' river discharge from TOPEX/Poseidon satellite altimetry (1992–2002)

Kouraev, Alexei V.; Zakharova, Elena; Samain, O.; Mognard, N. M.; Cazenave, Anny

doi:10.1016/j.rse.2004.07.007

Cited by 217 publications

(163 citation statements)

References 11 publications

(11 reference statements)

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“…(v) discharge estimation (Callow and Boggs, 2013;Frappart et al, 2005;Kouraev et al, 2004;Smith et al, 1996;Zhang et al, 2004); (vi) evapotranspiration estimation (Donohue et al, 2010;Glenn et al, 2011;Mohamed et al, 2004;Smettem et al, 2013;Zhang et al, 2009);…”

Section: Introductionmentioning

confidence: 99%

Where does all the water go? Partitioning water transmission losses in a data-sparse, multi-channel and low-gradient dryland river system using modelling and remote sensing

Jarihani

Larsen

Callow

et al. 2015

Journal of Hydrology

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Where does all the water go? Partitioning water transmission losses in a data-sparse, multi-channel and low-gradient dryland river system using modelling and remote sensing, Journal of Hydrology (2015), doi: http://dx.doi.org/10.1016/j.jhydrol. 2015.08.030 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. 1Where does all the water go? Partitioning water transmission losses in a data-sparse, multi-channel and low-gradient dryland river system using modelling and remote sensing and April 2012 along a 180 km reach of the Diamantina River in the Lake Eyre Basin, Australia.Transmission losses were found to be high, on average 46% of total inflow within 180 km reach segment or 7 GL/km (range: 4 to 10 GL/km). However, in 180 km reach, transmission losses vary non-linearly with flood discharge, with smaller flows resulting in higher losses (up to 68%), which diminish in higher flows (down to 24%) and in general there is a minor increase in losses with distance downstream. Partitioning these total losses into the major components shows that actual evaporation was the most significant component (21.6% of total inflow), followed by infiltration (13.2%) and terminal water storage (11.2%). Lateral inflow can be up to 200% of upstream inflow (mean = 86%) and is therefore a critical parameter in the water balance and 3 transmission loss calculations. This study shows that it is possible to constrain the water balance using hydrodynamic models in dryland river systems using remote sensing and simple field measurements to address the otherwise scarce availability of data. The results of this study also enable a better understanding of the water resources available for ecosystems in these unique multi-channel and large floodplain rivers. The combined modelling / remote sensing approach of this study can be applied elsewhere in the world to better understand the water balances and water transmission losses, important drivers of ecohydrological processes in dryland environments.

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Section: Introductionmentioning

confidence: 99%

Where does all the water go? Partitioning water transmission losses in a data-sparse, multi-channel and low-gradient dryland river system using modelling and remote sensing

Jarihani

Larsen

Callow

et al. 2015

Journal of Hydrology

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“…Additional principles include the statement that local ecological conditions are affected by landscape context or attributes of the surrounding landscape [75]. Methods of landscape ecology include also the remote sensing and are described by many authors [76][77][78].…”

Section: Contemporary Approaches To Complex Interdisciplinary Study Omentioning

confidence: 99%

The relevance of the contemporary landscape-ecological and biogeochemical studies of the Ob floodplain

Inna¹,

Valeriy²,

Sergey³

et al. 2016

Tomsk State University Journal of Biology

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“…In Kouraev et al (2004), the authors performed a more rigorous geographical selection of the altimetric data by considering 28.5-m resolution Landsat images and selecting only parts of the satellite ground tracks that cover the main channel of the river (Ob' River). Zakharova et al (2006) used JERS-1-SAR images and defined a virtual station by a rectangular window.…”

Section: Literature Review Of "Virtual Station" Definitionmentioning

confidence: 99%

“…Moreover, if radar altimetry sampling periods, which correspond to satellite cycle durations, range from 10 (TOPEX/POSEIDON) to 35 days (ENVISAT), it has been shown that daily water stage estimation can be provided by adequate interpolation techniques associated with in situ data (Roux et al, 2008). Additionally, satellite altimetry already allows river discharge to be estimated by establishing rating curves using altimetric heights and either remotely measured discharge (Coe & Birkett, 2004;Kouraev et al, 2004), or local model-based discharge estimates (Leon et al, 2006). Also, lake heights can be predicted (Coe & Birkett, 2004) and flood-plain water storage estimated .…”

Section: Introductionmentioning

confidence: 99%

Producing time series of river water height by means of satellite radar altimetry—a comparative study

Roux

Silva

Getirana

et al. 2010

Hydrological Sciences Journal

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Satellite radar altimetry is complementary to in situ limnimetric surveys as a means of estimating the water height of large rivers, lakes and flood plains. Production of water height time series by satellite radar altimetry technology requires first the selection of radar ground target locations corresponding to water body surfaces under study, i.e. the definition of "virtual limnimetric stations". We propose to investigate qualitative and quantitative differences between three representative virtual station creation methodologies: (a) a fully manual method, (b) a semi-automatic method based on a land cover characterization that allows the water body surface under study to be located; and (c) an original fully automatic procedure that exploits a digital elevation model and an estimation of the river width. The results yielded by these three methods are comparable: maximum absolute magnitudes of water height differences being 0.46, 0.26 and 0.15 m for, respectively, 95, 90 and 80% of the water height values obtained. Moreover, more than 67% and 92% of time series jointly produced by the methods present root mean square differences lower than 20 and 50 cm, respectively. The results show that the fully automatic method developed herein provides as reliable results as the fully manual one. This opens the way to use of satellite radar altimetry for the generation of water height time series on a large scale, and considerably extends the applicability of satellite radar altimetry in hydrology. Key words

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Ob' river discharge from TOPEX/Poseidon satellite altimetry (1992–2002)

Cited by 217 publications

References 11 publications

Where does all the water go? Partitioning water transmission losses in a data-sparse, multi-channel and low-gradient dryland river system using modelling and remote sensing

Where does all the water go? Partitioning water transmission losses in a data-sparse, multi-channel and low-gradient dryland river system using modelling and remote sensing

The relevance of the contemporary landscape-ecological and biogeochemical studies of the Ob floodplain

Producing time series of river water height by means of satellite radar altimetry—a comparative study

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