Evaluating the Potential of GloFAS-ERA5 River Discharge Reanalysis Data for Calibrating the SWAT Model in the Grande San Miguel River Basin (El Salvador)

Senent‐Aparicio, Javier; Blanco-Gómez, Pablo; López-Ballesteros, Adrián; Jimeno‐Sáez, Patricia; Pérez‐Sánchez, Julio

doi:10.3390/rs13163299

Cited by 24 publications

(12 citation statements)

References 69 publications

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“…Furthermore, even if precipitation data is available, its access to public use is restricted due to strict data policy (Duan et al 2019). The accuracy of the rain gauge network is also considerably influenced by flaws in instrument installation methods, losses through instrument by wetting inside walls and evaporation, and the wind effects above the gauge orifice (Jimeno-Sáez et al 2021;Senent-aparicio et al 2021). In addition to rain gauge data, the availability of alternative sources for precipitation data will enhance the hydrological modeling efforts, particularly in data-scarce regions.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basin

Ougahi

Mahmood

2022

Journal of Water and Climate Change

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Several satellite-based and reanalysis products with a high spatial and temporal resolution have become available in recent decades, making it worthwhile to study the performance of multiple precipitation forcing data on hydrological modeling. This study aims to examine the veracity of five precipitation products employing a semi-distributed hydrological model, i.e., the Soil and Water Assessment Tool (SWAT) to simulate streamflow over the Chenab River Basin (CRB). The performance indices such as coefficient of determination (R2), Nash–Sutcliff efficiency (NSE) and percentage bias (PBIAS) were used to compare observed and simulated streamflow at daily and monthly scales during calibration (2015–2018) and validation (2019–2020). The hydrologic performance of European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA) 5-Land (ERA5) was very good at daily (calibration R2=0.83, NSE=0.81, PBIAS=−6%; validation R2=0.75, NSE=0.74, PBIAS=−9.6%) and monthly ( calibration R2=0.94, NSE=0.94, PBIAS=−3.3%; validation R2=0.91, NSE=0.89, PBIAS=−3.2%) scales. This study suggests that the ERA5 precipitation product was the most reliable of the five precipitation products, while the CHIRPS performance was the worst. These findings contribute to highlighting the performance of five precipitation products and reference in the selection of precipitation data as input data to the SWAT model in similar regions.

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Section: Introductionmentioning

confidence: 99%

Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basin

Ougahi

Mahmood

2022

Journal of Water and Climate Change

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“…In the absence of observed discharge, the mean daily river flow at the Hathni Kund Barrage was extracted using the simulated GloFAS (Global Flood Awareness System) historical products (Harrigan et al, 2020), and global WBMsed (Cohen et al, 2022). Both GloFAS and WBMsed have been proven to be reliable and can reproduce well the magnitude and seasonality of the flow (Cohen et al, 2013; Harrigan et al, 2020; Senent‐Aparicio et al, 2021; Zăinescu et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

Morphological adjustments of the Yamuna River in the Himalayan foothills in response to natural and anthropogenic stresses

Yadav

Boothroyd

Smith

et al. 2023

Hydrological Processes

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Rivers can adjust to natural and anthropogenic stresses through changes in flow regime and sediment dynamics. Flow regulation due to dam construction can modify sediment transport processes, causing morphological adjustments and changes in conveyance capacity. In this study, we explored morphological adjustments along a 46 km segment of the Yamuna River in the Himalayan foothills from Dakpathar Barrage to Hathni Kund Barrage using a combination of remote sensing approaches. The cloud computing platform Google Earth Engine (GEE) was used to analyse multi‐temporal collections of Landsat satellite imagery acquired between 1989 and 2021. Active river channels (including water and exposed sediment) were classified using an MNDWI and NDVI thresholding approach from annually resolved temporal composite images. Declassified CORONA satellite imagery (acquired in 1965, 1973 and 1976) was manually digitized to provide longer‐term insights into channel change. Morphological adjustments were assessed using the RivMAP toolbox, providing quantitative information on the rates of bank erosion and accretion, bank line shifts and changes in active channel width. Results showed a substantial narrowing of the active channel after 2013, which coincided with the construction of the Lakhwar‐Vyasi Dam. We calculated a 67% reduction in mean active channel width, narrowing from ~800 m in 1989 to ~250 m in 2021. During the same period, evidence of sand mining in the active channel indicates a substantial increase in mining activities after 2015. The concept of stasis was explored under different flow regulation scenarios to suggest that the river has undergone a state of inactivity, where the river is doing nothing for much longer durations. We suggest that the combined effects of flow regulation and increased mining activities during the same period have altered river morphology, and further stresses due to a combination of human activities can be damaging for the river regime. This study sheds light on the potential implications of multiple stresses acting on the Yamuna River at the same time, which can inform future sustainable river management activities.

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“…Hydrological reanalysis can provide consistent and multi‐decadal data that act as ‘proxy‐observations’ in order to calibrate other hydrological models. For example, Senent‐Aparicio et al (2021) used GloFAS hydrological reanalysis to calibrate the Soil and Water Assessment Tool (SWAT) model for the Grande San Miguel River Basin where in‐situ observations are sparse. For the period 2005–2010, this methodology of calibration led to an increase in skill of the simulation of monthly river discharge compared to observations.…”

Section: Examples Of Applications Of Global Hydrological Reanalysismentioning

confidence: 99%

Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS

Prudhomme,

Zsótér,

Matthews

et al. 2024

Meteorological Applications

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Global hydrological reanalyses are modelled datasets providing information on river discharge evolution everywhere in the world. With multi‐decadal daily timeseries, they provide long‐term context to identify extreme hydrological events such as floods and droughts. By covering the majority of the world's land masses, they can fill the many gaps in river discharge in‐situ observational data, especially in the global South. These gaps impede knowledge of both hydrological status and future evolution and hamper the development of reliable early warning systems for hydrological‐related disaster reduction. River discharge is a natural integrator of the water cycle over land. Global hydrological reanalysis datasets offer an understanding of its spatio‐temporal variability and are therefore critical for addressing the water–energy–food–environment nexus. This paper describes how global hydrological reanalyses can fill the lack of ground measurements by using earth system or hydrological models to provide river discharge time series. Following an inventory of alternative sources of river discharge datasets, reviewing their advantages and limitations, the paper introduces the Copernicus Emergency Management Service (CEMS) Global Flood Awareness System (GloFAS) modelling chain and its reanalysis dataset as an example of a global hydrological reanalysis dataset. It then reviews examples of downstream applications for global hydrological reanalyses, including monitoring of land water resources and ocean dynamics, understanding large‐scale hydrological extreme fluctuations, early warning systems, earth system model diagnostics and the calibration and training of models, with examples from three Copernicus Services (Emergency Management, Marine and Climate Change).

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Evaluating the Potential of GloFAS-ERA5 River Discharge Reanalysis Data for Calibrating the SWAT Model in the Grande San Miguel River Basin (El Salvador)

Cited by 24 publications

References 69 publications

Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basin

Evaluation of satellite-based and reanalysis precipitation datasets by hydrologic simulation in the Chenab river basin

Morphological adjustments of the Yamuna River in the Himalayan foothills in response to natural and anthropogenic stresses

Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS

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