Development of the Global Width Database for Large Rivers

Yamazaki, Dai; O’Loughlin, Fiachra; Trigg, Mark A.; Miller, Zachary F.; Pavelsky, T.; Bates, Paul

doi:10.1002/2013wr014664

Cited by 223 publications

(197 citation statements)

References 33 publications

(78 reference statements)

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“…In this study, we modified the HyMAP-based river width with the Global Width Database for Large Rivers (GWD-LR) (Yamazaki et al, 2014). GWD-LR calculates effective bank-to-bank river width using the SRTM Water Body Database and the HydroSHEDS flow direction map (Lehner et al, 2008).…”

Section: River Routing Schemementioning

confidence: 99%

Upper Blue Nile basin water budget from a multi-model perspective

Jung

Getirana

Policelli

et al. 2017

Journal of Hydrology

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a b s t r a c tImproved understanding of the water balance in the Blue Nile is of critical importance because of increasingly frequent hydroclimatic extremes under a changing climate. The intercomparison and evaluation of multiple land surface models (LSMs) associated with different meteorological forcing and precipitation datasets can offer a moderate range of water budget variable estimates. In this context, two LSMs, Noah version 3.3 (Noah3.3) and Catchment LSM version Fortuna 2.5 (CLSMF2.5) coupled with the Hydrological Modeling and Analysis Platform (HyMAP) river routing scheme are used to produce hydrological estimates over the region. The two LSMs were forced with different combinations of two reanalysis-based meteorological datasets from the Modern-Era Retrospective analysis for Research and Applications datasets (i.e., MERRA-Land and MERRA-2) and three observation-based precipitation datasets, generating a total of 16 experiments. Modeled evapotranspiration (ET), streamflow, and terrestrial water storage estimates were evaluated against the Atmosphere-Land Exchange Inverse (ALEXI) ET, insitu streamflow observations, and NASA Gravity Recovery and Climate Experiment (GRACE) products, respectively. Results show that CLSMF2.5 provided better representation of the water budget variables than Noah3.3 in terms of Nash-Sutcliffe coefficient when considering all meteorological forcing datasets and precipitation datasets. The model experiments forced with observation-based products, the Climate Hazards group Infrared Precipitation with Stations (CHIRPS) and the Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA), outperform those run with MERRA-Land and MERRA-2 precipitation. The results presented in this paper would suggest that the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System incorporate CLSMF2.5 and HyMAP routing scheme to better represent the water balance in this region.

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Section: River Routing Schemementioning

confidence: 99%

Upper Blue Nile basin water budget from a multi-model perspective

Jung

Getirana

Policelli

et al. 2017

Journal of Hydrology

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“…Finally, these parameters are defined as constant in time, which is a significant assumption, especially in a region with a marked seasonal climate variability such as the Niger Basin. Remote sensing opens the possibility of estimating the river width by direct measurements and the critical bank-full height by indirect algorithms (Pavelski and Smith, 2008;Yamazaki et al, 2014;Durand et al, 2008). However, the Manning coefficient will still be difficult to estimate even using remote sensing.…”

Section: Trip Specific Parametersmentioning

confidence: 99%

“…However, such relationships might not give the best results locally (for a particular basin). Studies showed that empirical equation does not work well even within one basin and significant errors can be found at subbasin or reach scales (e.g., Miller et al, 2014;Yamazaki et al, 2014). These relationships thus lead to nonnegligible errors which could be reduced using satellite data.…”

Section: Introductionmentioning

confidence: 99%

Assimilation of satellite data to optimize large-scale hydrological model parameters: a case study for the SWOT mission

Pedinotti

Boone

Ricci

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. During the last few decades, satellite measurements have been widely used to study the continental water cycle, especially in regions where in situ measurements are not readily available. The future Surface Water and Ocean Topography (SWOT) satellite mission will deliver maps of water surface elevation (WSE) with an unprecedented resolution and provide observation of rivers wider than 100 m and water surface areas greater than approximately 250 × 250 m over continental surfaces between 78 • S and 78 • N. This study aims to investigate the potential of SWOT data for parameter optimization for large-scale river routing models. The method consists in applying a data assimilation approach, the extended Kalman filter (EKF) algorithm, to correct the Manning roughness coefficients of the ISBA (Interactions between Soil, Biosphere, and Atmosphere)-TRIP (Total Runoff Integrating Pathways) continental hydrologic system. Parameters such as the Manning coefficient, used within such models to describe water basin characteristics, are generally derived from geomorphological relationships, which leads to significant errors at reach and large scales. The current study focuses on the Niger Basin, a transboundary river. Since the SWOT observations are not available yet and also to assess the proposed assimilation method, the study is carried out under the framework of an observing system simulation experiment (OSSE). It is assumed that modeling errors are only due to uncertainties in the Manning coefficient. The true Manning coefficients are then supposed to be known and are used to generate synthetic SWOT observations over the period [2002][2003]. The impact of the assimilation system on the Niger Basin hydrological cycle is then quantified. The optimization of the Manning coefficient using the EKF (extended Kalman filter) algorithm over an 18-month period led to a significant improvement of the river water levels. The relative bias of the water level is globally improved (a 30 % reduction). The relative bias of the Manning coefficient is also reduced (40 % reduction) and it converges towards an optimal value. Discharge is also improved by the assimilation, but to a lesser extent than for the water levels (7 %). Moreover, the method allows for a better simulation of the occurrence and intensity of flood events in the inner delta and shows skill in simulating the maxima and minima of water storage anomalies, especially in the groundwater and the aquifer reservoirs. The application of the assimilation method in the framework of an observing system simulation experiment allows evaluating the skill of the EKF algorithm to improve hydrological model parameters and to demonstrate SWOT's promising potential for global hydrology issues. However, further studies (e.g., considering multiple error sources and the difference between synthetic and real observations) are needed to achieve the evaluation of the method.

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“…the CC values are 0.99 and 1.0). The old RRS only represents well the area of the Rhône (1), the Ebro (2) and the Maritsa River (5). While the errors are high for other rivers such as the Po (3), the Chelif (4), the Ceyhan River (7).…”

mentioning

confidence: 99%

“…In order to calculate the flow velocity, river width could be classically obtained using geomorphological relationships with annual mean river discharge (e.g. Leopold and Maddock, 1953), but it is also directly available based on remote-sensing (Yamazaki et al, 2014;Allen and Pavelsky, 2015). Above all, this study focuses on small river basins in complex topography as those flowing into the Mediterranean basin and there is a need to verify these results at the global scale and on larger basins.…”

mentioning

confidence: 99%

ORCHIDEE-ROUTING: A new river routing scheme using a high resolution hydrological database

Quang

Polcher

Ducharne

et al. 2018

Preprint

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Abstract.This study presents a revised river routing scheme (RRS) for the Organising Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) land surface model. The revision is carried out to benefit from the high resolution topography provided the Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales (HydroSHEDS), processed to a resolution of approximately 1 kilometer. The RRS scheme of the ORCHIDEE uses a unit-to-unit routing concept which allows 5 to preserve as much of the hydrological information of the HydroSHEDS as the user requires. The evaluation focuses on 12 rivers of contrasted size and climate which contribute freshwater to the Mediterranean Sea. First, the numerical aspect of the new RRS is investigated, to identify the practical configuration offering the best trade-off between computational cost and simulation quality for ensuing validations. Second, the performance of the revised scheme is evaluated against observations at both monthly and daily timescales. The new RRS captures satisfactorily the seasonal variability of river discharges, although im-10 portant biases come from the water budget simulated by the ORCHIDEE model. The results highlight that realistic streamflow simulations require accurate precipitation forcing data and a precise river catchment description over a wide range of scales, as permitted by the new RRS. Detailed analyses at the daily timescale show promising performances of this high resolution RRS for replicating river flow variation at various frequencies. Eventually, this RRS is well adapted for further developments in the ORCHIDEE land surface model to assess anthropogenic impacts on river processes (e.g. damming for irrigation operation).

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Development of the Global Width Database for Large Rivers

Cited by 223 publications

References 33 publications

Upper Blue Nile basin water budget from a multi-model perspective

Upper Blue Nile basin water budget from a multi-model perspective

Assimilation of satellite data to optimize large-scale hydrological model parameters: a case study for the SWOT mission

ORCHIDEE-ROUTING: A new river routing scheme using a high resolution hydrological database

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