2020
DOI: 10.1002/essoar.10504775.1
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GRACEfully closing the water balance: a data-driven probabilistic approach applied to river basins in Iran

Abstract: The increasing availability and accuracy of remote sensing data of the terrestrial water cycle holds great promise for calibration and validation of large-scale hydrological models. Several modeling studies have already taken advantage of these data for evaluating and constraining hydrological models, including water storage data from GRACE satellites

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Cited by 3 publications
(4 citation statements)
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“…However, it is worth noting that the ET wb of some basins has a negative value in some months, which is probably due to the uncertainty in Δ S derived from GRACE (Rodell et al., 2011; Schoups & Nasseri, 2021). Although this study adopts the difference between the catchment water storage anomalies of two adjacent months to represent the Δ S on the monthly scale, it is uncertain whether this difference can reflect the Δ S well, especially considering the influence of geographical location, shape, characteristics of hydrological signals in and surrounding the basin, and also GRACE noise characteristics (Longuevergne et al., 2010; Vishwakarma et al., 2018), etc.…”
Section: Discussionmentioning
confidence: 99%
“…However, it is worth noting that the ET wb of some basins has a negative value in some months, which is probably due to the uncertainty in Δ S derived from GRACE (Rodell et al., 2011; Schoups & Nasseri, 2021). Although this study adopts the difference between the catchment water storage anomalies of two adjacent months to represent the Δ S on the monthly scale, it is uncertain whether this difference can reflect the Δ S well, especially considering the influence of geographical location, shape, characteristics of hydrological signals in and surrounding the basin, and also GRACE noise characteristics (Longuevergne et al., 2010; Vishwakarma et al., 2018), etc.…”
Section: Discussionmentioning
confidence: 99%
“…The observational WB method is a basic approach used to produce ET data series and is usually considered as reference for evaluating ET products at the basin scales (Bai & Liu, 2018; Baker et al, 2021; Koppa et al, 2021; Li et al, 2019; Schoups & Nasseri, 2021). Some studies have evaluated ET products on an annual scale to ignore the variation in water storage (Koppa et al, 2021; Xu et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Some studies have evaluated ET products on an annual scale to ignore the variation in water storage (Koppa et al, 2021; Xu et al, 2019). Satellite remote sensing, particularly the gravity recovery and climate experiment (GRACE) mission, can accurately estimate monthly total water storage changes in basins that are larger than ~200 000 and 100 000 km 2 at low and high latitudes, respectively (Rodell et al, 2018), thereby enabling the evaluation of ET products on a monthly scale (Bai & Liu, 2018; Baker et al, 2021; Chao et al, 2021; Li et al, 2019; Schoups & Nasseri, 2021). In generally, previous research has largely evaluated ET products in exorheic basins by the WB method and requires runoff data, which is not easy to obtain in inland basins.…”
Section: Introductionmentioning
confidence: 99%
“…The hydrologic budget (i.e., hydrologic gains and losses) is an effective method for conducting analyses at the basin scale (Liu et al, 2014(Liu et al, , 2016(Liu et al, , 2018Reager et al, 2016). It is a basic approach used to produce ET data series and is usually considered as a reference for evaluating model or remote sensing ET products at the basin scale (Jiang & Liu, 2021;Liu et al, 2016;Schoups & Nasseri, 2021). Unlike exorheic basins, which include AET and runoff in hydrologic losses, inland basins only include AET.…”
mentioning
confidence: 99%