Filling the gaps: Calibrating a rainfall-runoff model using satellite-derived surface water extent

Revilla-Romero, Beatriz; Beck, Hylke E.; Burek, Peter; Salamon, Peter; Roo, Ad de; Thielen, Joanna

doi:10.1016/j.rse.2015.10.022

Cited by 59 publications

(46 citation statements)

References 64 publications

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“…On one side, even though the GFDS is able to capture well the timing of the highs and lows on the Amazon River, the day to day raw signal-to-noise ratio is rather low, resulting in a “noisy” signal and a low variability of the signal. This is corroborated by a previous calibration study (see Revilla-Romero et al, 2015, Fig. 3) where the raw GFDS signal was used to enhance the timing of the simulated streamflow.…”

Section: Resultssupporting

confidence: 80%

Integrating remotely sensed surface water extent into continental scale hydrology

Revilla-Romero

Wanders

Burek

et al. 2016

Journal of Hydrology

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Section: Resultssupporting

confidence: 80%

Integrating remotely sensed surface water extent into continental scale hydrology

Revilla-Romero

Wanders

Burek

et al. 2016

Journal of Hydrology

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“…This is the case of eastern Amazon tributaries located downstream of Obidos, such as the Tapajos and Xingu (see Supplementary Material S3). The interplay between Manning coefficient and groundwater parameters and their influence on flow timing of LISFLOOD has been shown in recent studies (e.g., Revilla-Romero et al, 2015;Zajac et al, 2017), and here may compensate for limitations of the double-kinematic wave (channel + floodplain) used for river routing, especially in the 15…”

Section: Cross-scale Comparison Of River Discharges From Continental mentioning

confidence: 57%

Toward continental hydrologic–hydrodynamic modeling in South America

Paiva¹,

Siqueira²,

Fleischmann³

et al. 2018

Preprint

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Abstract. Providing reliable estimates of streamflow and hydrological fluxes is a major challenge for water resources management over national and transnational basins in South America. Global hydrological models and land surface models are a possible solution to simulate the terrestrial water cycle at the continental scale, but issues on parameterization and limitations in representing lowland river systems put into question their utility for basin-scale analysis and to deliver daily 15 discharges to meet local needs. In an attempt to overcome such limitations, we extended a regional, fully coupled hydrologic-hydrodynamic model (MGB) to the continental domain of South America and assessed its performance using daily river discharges, water levels from independent sources (in situ, satellite altimetry), estimates of terrestrial water storage (TWS) and evapotranspiration (ET) from remote sensing and other available global datasets. In addition, river discharges were compared with outputs from global models acquired through the eartH2Observe project (HTESSEL/CaMa-20 Flood, LISFLOOD and WaterGAP3), providing the first cross-scale assessment (regional/continental  global models) that makes use of spatially consistent daily discharge data. A satisfactory representation of discharges and water levels was obtained (NSE > 0.6 in 55 % of the cases) and MGB was able to capture patterns of seasonality and magnitude of TWS and ET especially over the largest basins of South America. Continental-scale modeling significantly improved discharge estimates when compared with global models, which resulted in a large number of gauges with negative (or close to 0) NSE 25 values. Models were largely affected by positive bias mainly over East/Northeast Brazil and Argentina as well as over regions of Sao Francisco and Parnaiba basins, while major issues on flow timing were observed in regions affected by floodplain processes such as the Amazon, La Plata, Tocantins-Araguaia, Orinoco and Magdalena basins. We state that efforts in calibrating rainfall-runoff parameters within large basins are necessary to simulate daily river discharges appropriately in this continent, but implementing a hydrodynamic routing component is also important. We hope that our 30 study provides further insights about hydrological simulation in South America, helping to reduce the gap between global and regional hydrological modeling communities.Hydrol. Earth Syst. Sci. Discuss., https://doi

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“…The results of the analyses presented here could serve as a guideline for selecting catchment-specific parameter sets to calibrate the latest LISFLOOD global version, using both river gauges as well as satellite data (as tested in Revilla-Romero et al, 2015). With reduced parameter sets, effective (i.e.…”

Section: Resultsmentioning

confidence: 99%

The impact of lake and reservoir parameterization on global streamflow simulation

Zajac

Revilla-Romero

Salamon

et al. 2017

Journal of Hydrology

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Filling the gaps: Calibrating a rainfall-runoff model using satellite-derived surface water extent

Cited by 59 publications

References 64 publications

Integrating remotely sensed surface water extent into continental scale hydrology

Integrating remotely sensed surface water extent into continental scale hydrology

Toward continental hydrologic–hydrodynamic modeling in South America

The impact of lake and reservoir parameterization on global streamflow simulation

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