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Potential Legacy of SWOT Mission for the Estimation of Flow–Duration Curves
by
Castellarin, Attilio
, Pugliese, Alessio
, Palazzoli, Irene
, Ceola, Serena
, Brath, Armando
, Domeneghetti, Alessio
, Marinelli, Alberto
, Persiano, Simone
in
Algorithms
/ Archives & records
/ Arid climates
/ climate
/ Climatic conditions
/ data collection
/ Datasets
/ Discharge measurement
/ Estimates
/ Flow duration curves
/ flow–duration curve
/ Gaging stations
/ Hydrologic data
/ Hydrology
/ Low flow
/ Ocean basins
/ Random errors
/ Remote sensing
/ river altimetry
/ River basins
/ River flow
/ river flow regime
/ River networks
/ Rivers
/ runoff
/ Sampling
/ satellites
/ Stream discharge
/ Stream flow
/ Surface water
/ SWOT
/ time series analysis
/ topography
/ Water resources management
2024
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Potential Legacy of SWOT Mission for the Estimation of Flow–Duration Curves
by
Castellarin, Attilio
, Pugliese, Alessio
, Palazzoli, Irene
, Ceola, Serena
, Brath, Armando
, Domeneghetti, Alessio
, Marinelli, Alberto
, Persiano, Simone
in
Algorithms
/ Archives & records
/ Arid climates
/ climate
/ Climatic conditions
/ data collection
/ Datasets
/ Discharge measurement
/ Estimates
/ Flow duration curves
/ flow–duration curve
/ Gaging stations
/ Hydrologic data
/ Hydrology
/ Low flow
/ Ocean basins
/ Random errors
/ Remote sensing
/ river altimetry
/ River basins
/ River flow
/ river flow regime
/ River networks
/ Rivers
/ runoff
/ Sampling
/ satellites
/ Stream discharge
/ Stream flow
/ Surface water
/ SWOT
/ time series analysis
/ topography
/ Water resources management
2024
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Potential Legacy of SWOT Mission for the Estimation of Flow–Duration Curves
by
Castellarin, Attilio
, Pugliese, Alessio
, Palazzoli, Irene
, Ceola, Serena
, Brath, Armando
, Domeneghetti, Alessio
, Marinelli, Alberto
, Persiano, Simone
in
Algorithms
/ Archives & records
/ Arid climates
/ climate
/ Climatic conditions
/ data collection
/ Datasets
/ Discharge measurement
/ Estimates
/ Flow duration curves
/ flow–duration curve
/ Gaging stations
/ Hydrologic data
/ Hydrology
/ Low flow
/ Ocean basins
/ Random errors
/ Remote sensing
/ river altimetry
/ River basins
/ River flow
/ river flow regime
/ River networks
/ Rivers
/ runoff
/ Sampling
/ satellites
/ Stream discharge
/ Stream flow
/ Surface water
/ SWOT
/ time series analysis
/ topography
/ Water resources management
2024
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Potential Legacy of SWOT Mission for the Estimation of Flow–Duration Curves
Journal Article
Potential Legacy of SWOT Mission for the Estimation of Flow–Duration Curves
2024
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Overview
Flow–duration curves (FDCs) provide a compact view of the historical variability of river flows, reflecting climate conditions and the main hydrologic features of river basins. The Surface Water and Ocean Topography (SWOT) satellite mission will enable the estimation of river flows globally, by sensing rivers wider than 100 m with a sampling recurrence from 3 to 21 days. This study investigated the lifetime mission potential for FDC estimation through the comparison between remotely-sensed and empirical FDCs. We employed the Global Runoff Data Center dataset and derived SWOT-like river flows by selecting gauging stations of rivers wider than 100 m with more than 10-year long daily river flow time series. Overall, 1200 gauged river cross-sections were examined. For each site, we created a set of 24 SWOT-simulated FDCs (i.e., based on different sampling recurrences, mean biases, and random errors) to be compared against their empirical counterparts through the Nash–Sutcliffe efficiency and the mean relative error. Our results show that climate and the sampling recurrence play a key role on the performance of SWOT-based FDCs. Tropical and temperate climates performed the best, whereas arid climates mostly revealed higher uncertainties, especially for high- and low-flows.
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