IRIS: Global River Surface Slopes from ICESat-2

Scherer, Daniel; Schwatke, C; Dettmering, D; Seitz, Florian

doi:10.5194/egusphere-egu23-8652

Cited by 4 publications

(18 citation statements)

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“…In some cases the RMSE reduction exceeded 50%. Also, Scherer et al (2022a) corrected altimetry observations on rivers using ICESat-2 based WSS and obtained an improvement in RMSE up to 30 cm or 66%.…”

Section: Introductionmentioning

confidence: 93%

“…IRIS is derived for each SWORD reach (Altenau et al, 2021a) from observations of the spaceborne lidar sensor ATLAS onboard ICESat-2. Since ICESat-2 measures synchronously along six beams, the WSS can be calculated across all beams intersecting the respective reach (Scherer et al, 2022a).…”

Section: Icesat-2 River Surface Slopementioning

confidence: 99%

“…However, IRIS data are homogeneously distributed along the river and are therefore available where in situ data may be missing. IRIS has been validated against 815 reaches in Europe and North America with a median absolute error of 23 mm/km (Scherer et al, 2022a).…”

Section: Icesat-2 River Surface Slopementioning

confidence: 99%

“…Satellite observations can also be used to model the longitudinal profile of the river. Using a least-squares approach based on multi-mission altimetry to derive a linear model of the Mississippi River yielded an average absolute median WSS error of 12 mm/km (Scherer et al, 2020). WSS can also be determined using laser altimetry (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Hall et al, 2012;O'Loughlin et al, 2013). Using the unique measurement geometry of ICESat-2 with six parallel laser beams, Scherer et al (2022a) derived reach-scale WSS both along and across the satellite ground track with a median absolute error of 23 mm/km.…”

Section: Introductionmentioning

confidence: 99%

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Generation of high-resolution water surface slopes from multi-mission satellite altimetry

Schwatke

Halicki

Scherer

2023

Preprint

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For nearly three decades, satellite radar altimetry has provided measurements of the water surface elevation (WSE) of rivers. These observations can be used to calculate the water surface slope (WSS), which is an essential parameter for estimating flow velocity and river discharge. In this study, we calculate a high-resolution WSS of 11 Polish rivers based on multi-mission altimetry observations from 11 satellites in the period from 1994 to 2022. The proposed approach is based on a weighted such gauge stations adjustment with an additional Laplace condition and an a priori gradient condition. The processing is divided into river sections not interrupted by dams and reservoirs. After proper determination of the WSE for each river kilometer (bin), the WSS between adjacent bins is calculated. To assess the accuracy of the estimated WSS, it is compared with slopes between gauge stations, which are referenced to a common vertical datum. Such gauge stations are available for 8 investigated rivers. The root mean squared error (RMSE) ranges from 3 mm/km to 80 mm/km, with an average of 26 mm/km. However, the mean RMSE decreases to 10 mm/km when the 2 mountain rivers are excluded. The WSS accuracies are also compared with those of slope datasets based on digital elevation models, ICESat-2 altimetry, and lidar. For 6 rivers the estimated WSS showed the highest accuracy. The improvement was particularly significant for mountain rivers. The proposed approach allows an accurate, high-resolution WSS even for small and medium-sized rivers and can be applied to almost any river worldwide.

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Section: Introductionmentioning

confidence: 93%

Section: Icesat-2 River Surface Slopementioning

confidence: 99%

Section: Icesat-2 River Surface Slopementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Generation of high-resolution water surface slopes from multi-mission satellite altimetry

Schwatke

Halicki

Scherer

2023

Preprint

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Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem

Mahdian,

Noori,

Salamattalab

et al. 2024

JGR Atmospheres

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The wetland loss rate in Iran is faster than the global average. Comprehending the shrinkage rate in Iranian wetlands and identifying the underlying drivers of these changes is essential for safeguarding their ecosystems' health and services. This study proposes a novel gray‐box modeling framework to quantify the effects of climate change and anthropogenic activities on the wetlands, by combining process‐based and machine learning models. The developed model is utilized to project the Anzali coastal wetland shrinkage by simulating the complex interaction between the meteorological, hydrological, anthropogenic and sea water level characteristics, and the changes in wetland water surface area. Our framework aggregates Soil and Water Assessment Tool model, the 12 General Circulation Models of the Coupled Model Intercomparison Project Phase 6, Landsat imagery, and the Long Short‐Term Memory model to project the shrinkage of the wetland till 2100. A comprehensive range of climate and Land Use/Cover change scenarios are analyzed. The results show that wetland will seasonally desiccate in 2058, mainly due to increasing air temperature, reduction in precipitation and inflow, excessive sediment loading to the wetland, and decline in the Caspian Sea level. For optimistic scenarios, where no changes in the Caspian Sea level is considered, the wetland will gradually diminish and become a seasonal waterbody by 2100. The outcomes of this study highlight that the Anzali wetland desiccation has profound implications for the regional‐scale ecological balance, ecosystem health and function, public health, and local economy. Robust environmental interventions and sustainable development strategies are urgently needed to mitigate the detrimental impacts of climate and anthropogenic drivers on the wetland.

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Generation of High‐Resolution Water Surface Slopes From Multi‐Mission Satellite Altimetry

Schwatke,

Halicki,

Scherer

2024

Water Resources Research

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For nearly three decades, satellite radar altimetry has provided measurements of the water surface elevation (WSE) of rivers. These observations can be used to calculate the water surface slope (WSS), which is an essential parameter for estimating flow velocity and river discharge. In this study, we calculate a non time‐varying high‐resolution WSS of 11 Polish rivers based on multi‐mission altimetry observations from 11 satellites in the period from 1994 to 2023. The proposed approach is based on a weighted least squares adjustment with an additional Laplace condition and an a priori gradient condition. The processing is divided into river sections not interrupted by dams and reservoirs. After proper determination of the WSE for each river kilometer (bin), the WSS between adjacent bins is calculated. To assess the accuracy of the estimated WSS, it is compared with slopes between gauge stations, which are referenced to a common vertical datum. Such gauge stations are available for 8 studied rivers. The root mean squared error (RMSE) ranges from 4 mm/km to 77 mm/km, with an average of 27 mm/km. However, the mean RMSE decreases to 11 mm/km when the 2 mountain rivers are excluded. The WSS accuracies are also compared with slope data sets based on digital elevation models, ICESat‐2 altimetry, and lidar. For 6 rivers the estimated WSS shows the highest accuracy. The improvement was particularly significant for mountain rivers. The proposed approach allows an accurate, non time‐varying high‐resolution WSS even for small and medium‐sized rivers and can be applied to almost any river worldwide.

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IRIS: Global River Surface Slopes from ICESat-2

Cited by 4 publications

References 0 publications

Generation of high-resolution water surface slopes from multi-mission satellite altimetry

Generation of high-resolution water surface slopes from multi-mission satellite altimetry

Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem

Generation of High‐Resolution Water Surface Slopes From Multi‐Mission Satellite Altimetry

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