Influence of local geoid variation on water surface elevation estimates derived from multi-mission altimetry for Lake Namco

Jiang, Liguang; Andersen, Ole; Nielsen, Karina; Zhang, Guoqing; Bauer‐Gottwein, Peter

doi:10.1016/j.rse.2018.11.004

Cited by 43 publications

(32 citation statements)

References 47 publications

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“…Here, the deviation is estimated using the median of absolute deviation (MAD) method. A detailed description can be found in Jiang, Andersen, et al (2019). Time series for each lake are calculated using the “tsHydro” tool available from Github ( https://github.com/cavios/tshydro).…”

Section: Methodsmentioning

confidence: 99%

A Bigger Picture of how the Tibetan Lakes Have Changed Over the Past Decade Revealed by CryoSat‐2 Altimetry

et al. 2020

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Tibetan lakes are an effective indicator of climate change as they are highly sensitive to and directly affected by climate change. The past decade has seen the seven warmest years on record globally. Such observations have prompted questions about lake changes over the Tibetan Plateau. The dense coverage of the CryoSat-2 altimeter reveals large-scale patterns in this climate change signal. We investigate lake level variations of more than 200 lakes using altimetry observations from CryoSat-2 during the period 2010 to 2019. Combined with GRACE/GRACE-FO, we evaluate the water storage change of lakes and terrestrial water storage (TWS). We find that most studied lakes generally went through three phases of change, that is, rising-hiatus/decline-rising, albeit lakes in the north Tibetan Plateau, show higher rising rates. Results also show that lake levels are widely affected by the 2015/16 El Niño event across the entire Inner Plateau via reduced precipitation. Above normal precipitation during 2016-2018, resulted in a sharp rise of~1.22 m on average, accounting for 56% of the decadal lake level rise (mean/median: 2.19/1.85 m). TWS in the Inner Tibetan Plateau accumulated a net gain of 70.5 km 3 , which is dominated by the net gain of lake water storage (ca. 63.3 km 3). The interannual TWS variation is found to be associated mainly with precipitation. In particular, extreme conditions such as the 2015/16 El Niño, had a profound negative impact on the TWS. The findings in this study shed new light on the response of Tibetan lakes to recent decadal environmental changes.

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Section: Methodsmentioning

confidence: 99%

A Bigger Picture of how the Tibetan Lakes Have Changed Over the Past Decade Revealed by CryoSat‐2 Altimetry

et al. 2020

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“…Satellite observations of WSE have been used in several studies to obtain information on river dynamics and to calibrate and update hydrological models (e.g., Domeneghetti, 2016;Dubey et al, 2015;Finsen et al, 2014;Schneider et al, 2018a). Schneider et al (2018b) and Jiang et al (2019b) have explored the value of high spatial resolution in calibrating hydrodynamic model parameters by using altimetry WSE observations. Jiang et al (2019b) evaluated the value of calibrating with different spatiotemporal densities and their results reveal a high benefit from the high spatial distribution of CryoSat-2 and Envisat observations as opposed to the Jason missions.…”

Section: Hydrological Applicationsmentioning

confidence: 99%

“…Advancements in instrument design and processing tools have steadily improved the accuracy of data products to the order of decimeters (see, e.g., Vu et al (2018) and Villadsen et al (2016) for a summary of mission performance evaluations across the literature). Satellite radar altimetry has been widely used in hydrological studies, for instance, to monitor and quantify storage variations at regional scale (e.g., Arsen et al, 2015;Jiang et al, 2017a;Boergens et al, 2017; Klein-C. M. M. radar altimetry for river monitoring herenbrink et al, Villadsen et al, 2015), to assess river dynamics and estimate river discharge (e.g., Domeneghetti et al, 2014;Kittel et al, 2018;Michailovsky et al, 2013;Schneider et al, 2017;Bogning et al, 2018) and to constrain hydrologic/hydrodynamic model parameters (e.g., Getirana and Peters-Lidard, 2013;Liu et al, 2015;Jiang et al, 2019b). Altimetry has proven extremely valuable in poorly gauged regions for hydrologic modeling.…”

Section: Introductionmentioning

confidence: 99%

Sentinel-3 radar altimetry for river monitoring – a catchment-scale evaluation of satellite water surface elevation from Sentinel-3A and Sentinel-3B

Kittel

Jiang

Tøttrup

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. Sentinel-3 is the first satellite altimetry mission to operate both in synthetic aperture radar (SAR) mode and in open-loop tracking mode nearly globally. Both features are expected to improve the ability of the altimeters to observe inland water bodies. Additionally, the two-satellite constellation offers a unique compromise between spatial and temporal resolution with over 65 000 potential water targets sensed globally. In this study, we evaluate the possibility of extracting river water surface elevation (WSE) at catchment level from Sentinel-3A and Sentinel-3B radar altimetry using Level-1b and Level-2 data from two public platforms: the Copernicus Open Access Hub (SciHub) and Grid Processing on Demand (GPOD). The objectives of the study are to demonstrate that by using publicly available processing platforms, such databases can be created to suit specific study areas for any catchment and with a wide range of applications in hydrology. We select the Zambezi River as a study area. In the Zambezi basin, 156 virtual stations (VSs) contain useful WSE information in both datasets. The root-mean-square deviation (RMSD) is between 2.9 and 31.3 cm at six VSs, where in situ data are available, and all VSs reflect the observed WSE climatology throughout the basin. Some VSs are exclusive to either the SciHub or GPOD datasets, highlighting the value of considering multiple processing options beyond global altimetry-based WSE databases. In particular, we show that the processing options available on GPOD affect the number of useful VSs; specifically, extending the size of the receiving window considerably improved data at 13 Sentinel-3 VSs. This was largely related to the implementation of GPOD parameters. While correct on-board elevation information is crucial, the postprocessing options must be adapted to handle the steep changes in the receiving window position. Finally, we extract Sentinel-3 observations over key wetlands in the Zambezi basin. We show that clear seasonal patterns are captured in the Sentinel-3 WSE, reflecting flooding events in the floodplains. These results highlight the benefit of the high spatiotemporal resolution of the dual-satellite constellation.

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“…For conventional radar altimeters, the measurement uncertainty is mainly caused by waveform pollution and non-horizontal LSH profile. The LSH profile may be non-horizontal if the elevation reference surface is not parallel to the lake surface [18][19][20] or the lake mask is too large. Routinely, the mean (or median) is taken as the final LSH after outlier removal [14,21,22].…”

Section: Introductionmentioning

confidence: 99%

Performance Assessment of ICESat-2 Laser Altimeter Data for Water-Level Measurement over Lakes and Reservoirs in China

2020

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Although the Advanced Topographic Laser Altimeter System (ATLAS) onboard the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) was primarily designed for glacier and sea-ice measurement, it can also be applied to monitor lake surface height (LSH). However, its performance in monitoring lakes/reservoirs has rarely been assessed. Here, we report an accuracy evaluation of the ICESat-2 laser altimetry data over 30 reservoirs in China using gauge data. To show its characteristics in large-scale lake monitoring, we also applied an advanced radar altimeter SARAL (Satellite for ARgos and ALtika) and the first laser altimeter ICESat (Ice, Cloud and land Elevation Satellite) to investigate all lakes and reservoirs (>10 km2) in China. We found that the ICESat-2 has a greatly improved altimetric capability, and the relative altimetric error was 0.06 m, while the relative altimetric error was 0.25 m for SARAL. Compared with SARAL and ICESat data, ICESat-2 data had the lowest measurement uncertainty (the standard deviation of along-track heights; 0.02 m vs. 0.17 m and 0.07 m), the greatest temporal frequency (3.43 vs. 1.35 and 1.48 times per year), and the second greatest lake coverage (636 vs. 814 and 311 lakes). The precise LSH profiles derived from the ICESat-2 data showed that most lakes (90% of 636 lakes) had a quasi-horizontal LSH profile (measurement uncertainty <0.05 m), and special methods are needed for mountainous lakes or shallow lakes to extract precise LSHs.

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Influence of local geoid variation on water surface elevation estimates derived from multi-mission altimetry for Lake Namco

Cited by 43 publications

References 47 publications

A Bigger Picture of how the Tibetan Lakes Have Changed Over the Past Decade Revealed by CryoSat‐2 Altimetry

A Bigger Picture of how the Tibetan Lakes Have Changed Over the Past Decade Revealed by CryoSat‐2 Altimetry

Sentinel-3 radar altimetry for river monitoring – a catchment-scale evaluation of satellite water surface elevation from Sentinel-3A and Sentinel-3B

Performance Assessment of ICESat-2 Laser Altimeter Data for Water-Level Measurement over Lakes and Reservoirs in China

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