Radar Altimetry Aids Managing Gauge Networks

Silva, Joécila Santos da; Calmant, Stéphane; Seyler, Frédérique; Moreira, Daniel Medéiros; Oliveira, Daniel; Monteiro, Adson Brito

doi:10.1007/s11269-013-0484-z

Cited by 31 publications

(22 citation statements)

References 16 publications

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“…There have also been studies that use multimission techniques to improve the temporal and spatial resolution of satellite sampling (Boergens et al, 2017;Tarpanelli et al, 2018;Tourian et al, 2016). In a review of other radar altimetry missions, Bjerklie et al (2003) note studies that have been performed using satellites such as ERS-1,2 and Topex/Poseidon (Coe & Birkett, 2004;da Silva et al, 2014;Kouraev et al, 2004). Some studies have combined precipitation and evapotranspiration data sets with changes in the Gravity Recovery and Climate Experiment satellite's total water storage product for larger-scale basin estimates of discharge (Ferreira et al, 2013;Seo et al, 2009;Syed et al, 2009;Syed et al, 2010), but this approach is limited to large rivers (i.e., draining ≥100,000 km 2 ) and is often associated with significant uncertainty.…”

Section: 1029/2019gl083886mentioning

confidence: 99%

How Does the Unique Space‐Time Sampling of the SWOT Mission Influence River Discharge Series Characteristics?

Nickles

Beighley

Zhao

et al. 2019

Geophysical Research Letters

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The Surface Water and Ocean Topography (SWOT) satellite mission will, for the first time, provide simultaneous, high‐resolution measurements of water surface elevation and extent. Here we explore the applicability of SWOT's unique sampling to capture discharge frequency behavior throughout the Mississippi River Basin. Our findings suggest the mission may capture key variability in river discharge series. SWOT orbit specifications, US Geological Survey (USGS) discharge measurements, and potential uncertainty estimates are used to generate SWOT‐like river discharges. Frequency distributions and specific quantiles derived from synthetic SWOT discharge series are compared to those derived from daily USGS discharge series. Based on the Kolmogorov‐Smirnov test, SWOT temporal sampling has essentially no impact on derived frequency distributions. When including potential uncertainty, 78% of derived distributions are statistically identical. The combined effects of temporal sampling and discharge uncertainty mitigates the negative bias used for SWOT discharge uncertainty at larger discharge quantiles (i.e., ≥75% quantiles).

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Section: 1029/2019gl083886mentioning

confidence: 99%

How Does the Unique Space‐Time Sampling of the SWOT Mission Influence River Discharge Series Characteristics?

Nickles

Beighley

Zhao

et al. 2019

Geophysical Research Letters

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“…Today, only a few tens of gauges still monitor the water level changes in the basin. In such a context, satellite altimetry provides a complement of information of highest interest [23]. A limited amount of works has been conducted to date to assess the quality of the SARAL/AltiKa data over rivers [24][25][26].…”

Section: Discharge Estimates In the Congo Basin From Validated Saral/mentioning

confidence: 99%

The Benefits of the Ka-Band as Evidenced from the SARAL/AltiKa Altimetric Mission: Scientific Applications

et al. 2018

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Abstract:The India-France SARAL/AltiKa mission is the first Ka-band altimetric mission dedicated primarily to oceanography. The mission objectives were firstly the observation of the oceanic mesoscales but also global and regional sea level monitoring, including the coastal zone, data assimilation, and operational oceanography. SARAL/AltiKa proved also to be a great opportunity for inland waters applications, for observing ice sheet or icebergs, as well as for geodetic investigations. The mission ended its nominal phase after three years in orbit and began a new phase (drifting orbit) in July 2016. The objective of this paper is to highlight some of the most remarkable achievements of the SARAL/AltiKa mission in terms of scientific applications. Compared to the standard Ku-band altimetry measurements, the Ka-band provides substantial improvements in terms of spatial resolution and data accuracy. We show here that this leads to remarkable advances in terms of observation of the mesoscale and coastal ocean, waves, river water levels, ice sheets, icebergs, fine scale bathymetry features as well as for the many related applications.

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“…Since the middle of the 1990's, satellite radar altimetry has been a successful technique for monitoring height variations of continental surface water, such as lakes and rivers (Morris and Gill 1994;Alsdorf et al 2001;Calmant et al 2008;Abarca-del-Rio et al 2012;Sima et al 2013;Yi et al 2013;Silva et al 2014;Pandey et al 2014;Tarpanelli et al 2015 and many others). The surface water level is measured within a terrestrial reference frame with repeatability varying from 10 to 35 days depending on the orbit cycle of the satellite.…”

mentioning

confidence: 99%

Lake Volume Monitoring from Space

Crétaux¹,

et al. 2016

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Lakes are integrators of environmental change occurring at both the regional and global scale. They present a wide range of behavior on a variety of timescales (cyclic and secular) depending on their morphology and climate conditions. Lakes play a crucial role in retaining and stocking water, and because of the significant global environmental changes occurring at several anthropocentric levels, the necessity to monitor all morphodynamic characteristics [e.g., water level, surface (water contour) and volume] has increased substantially. Satellite altimetry and imagery are now widely used together to calculate lake and reservoir water storage changes worldwide. However, strategies and algorithms to calculate these characteristics are not straightforward, and specific approaches need to be developed. We present a review of some of these methodologies by using lakes over the Tibetan Plateau to illustrate some critical aspects and issues (technical and scientific) linked to the observation of climate change impact on surface waters from remote sensing data. Many authors have measured water variation using the limited remote sensing measurements available over short time periods, even though the time series are probably too short to directly link these results with climate change. Indeed, there are many processes and factors, like the influence of lake morphology, that are beyond observation and are still uncertain. The time response for lakes to reach a new state of equilibrium is a key aspect that is often neglected in current literature. Observations over a long period of time, including maintaining a constellation of comprehensive and complementary satellite missions with service continuity over decades, are therefore necessary especially when the ground gauge network is too limited. In addition, the design of future satellite missions with new instrumental concepts (e.g., SAR, SARin, Ka band altimetry, Ka interferometry) will also be suitable for complete monitoring of continental waters.

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Radar Altimetry Aids Managing Gauge Networks

Cited by 31 publications

References 16 publications

How Does the Unique Space‐Time Sampling of the SWOT Mission Influence River Discharge Series Characteristics?

How Does the Unique Space‐Time Sampling of the SWOT Mission Influence River Discharge Series Characteristics?

The Benefits of the Ka-Band as Evidenced from the SARAL/AltiKa Altimetric Mission: Scientific Applications

Lake Volume Monitoring from Space

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