DAHITI – an innovative approach for estimating water level time series over inland waters  using multi-mission satellite altimetry

Schwatke, C; Dettmering, D; Bösch, Wolfgang; Seitz, Florian

doi:10.5194/hess-19-4345-2015

Cited by 334 publications

(287 citation statements)

References 29 publications

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“…Figure 7 shows the two time series for crossover point 3 and their differences. Even if differences of about 1 m are visible, the RMS difference of 32 cm is acceptable and in the same order of magnitude with most river crossings [14]. The mean standard deviation of the time series is 0.28 m for pass 678 and 0.25 m for pass 149, respectively.…”

Section: Comparisons At Crossover Pointsmentioning

confidence: 74%

“…The best time series shows a mean standard deviations of 7 cm. These error estimates are in the same order of magnitude with the quality documented for permanent inland water bodies [14]. Now it has to be checked whether these formal errors really represent the accuracies of the time series.…”

Section: Validationmentioning

confidence: 82%

“…This will add an additional error contribution to the uncertainties of water level measurements of altimeter and gauging station. Keeping this in mind, an accuracy of 30 cm is very good, since it is in the same order of magnitude with results for dedicated river time series [10,14].…”

Section: Comparison With In Situ Gauging Stationsmentioning

confidence: 83%

“…The use of more advanced processing such as implemented in the DAHITI software [14] can slightly improve the quality of the time series. However, for most track segments, this computation effort is not worthwhile.…”

Section: Generation Of Water Levels and Error Informationmentioning

confidence: 99%

“…In particular, progress has been made regarding lakes and reservoirs (e.g., [6,7]) and large rivers (e.g., [8][9][10]). Actually, at least four global databases exist providing inland water level time series for a variety of water bodies based on several altimeter missions [11][12][13][14]. Their results are highly valuable for applications in continental hydrology, especially given that other data sources such as in situ gauge stations are rapidly declining since about 1980 [15].…”

Section: Introductionmentioning

confidence: 99%

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Potential of ENVISAT Radar Altimetry for Water Level Monitoring in the Pantanal Wetland

Dettmering¹,

Schwatke²,

Boergens³

et al. 2016

Remote Sensing

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Wetlands are important ecosystems playing an essential role for continental water regulation and the hydrologic cycle. Moreover, they are sensitive to climate changes as well as anthropogenic influences, such as land-use or dams. However, the monitoring of these regions is challenging as they are normally located in remote areas without in situ measurement stations. Radar altimetry provides important measurements for monitoring and analyzing water level variations in wetlands and flooded areas. Using the example of the Pantanal region in South America, this study demonstrates the capability and limitations of ENVISAT radar altimeter for monitoring water levels in inundation areas. By applying an innovative processing method consisting of a rigorous data screening by means of radar echo classification as well as an optimized waveform retracking, water level time series with respect to a global reference and with a temporal resolution of about one month are derived. A comparison between altimetry-derived height variations and six in situ time series reveals accuracies of 30 to 50 cm RMS. The derived water level time series document seasonal height variations of up to 1.5 m amplitude with maximum water levels between January and June. Large scale geographical pattern of water heights are visible within the wetland. However, some regions of the Pantanal show water level variations less than a few decimeter, which is below the accuracies of the method. These areas cannot be reliably monitored by ENVISAT.

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Section: Comparisons At Crossover Pointsmentioning

confidence: 74%

Section: Validationmentioning

confidence: 82%

Section: Comparison With In Situ Gauging Stationsmentioning

confidence: 83%

Section: Generation Of Water Levels and Error Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Potential of ENVISAT Radar Altimetry for Water Level Monitoring in the Pantanal Wetland

Dettmering¹,

Schwatke²,

Boergens³

et al. 2016

Remote Sensing

View full text Add to dashboard Cite

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Satellite Altimetry: Principles and Applications in Earth Sciences

Frappart

Blumstein

Cazenave

et al. 2017

Wiley Encyclopedia of Electrical and Electronics Engineering

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Satellite altimetry is a radar technique measuring the topography of the Earth surface. It was initially designed for the measuring of the topography of the sea surface with reference to an ellipsoid and for the determination of the marine geoid. It also provided valuable information on the ocean circulation. With the improvement of the orbit accuracy from the meter to the centimeter level, satellite altimetry has become a key measurement to estimate sea level variations from regional to global scales. Satellite altimetry is mostly used over the ocean to measure the surface geostrophic currents, eddy structures, wave heights, and the propagation of oceanic Kelvin and Rossby waves. Altimetry has also demonstrated a strong potential for ice and hydrology studies and is now commonly used for the monitoring of the Arctic and Antarctic ice sheets topography and of terrestrial surface water levels.

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Data-model comparison of temporal variability in long-term time series of large-scale soil moisture

Verrot

Destouni

2016

J. Geophys. Res. Atmos.

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Soil moisture is at the heart of many processes connected to water cycle, climate, ecosystem, and societal conditions. This paper investigates the ability of a relatively simple analytical soil moisture model to reproduce temporal variability dynamics in long‐term data series for (i) remotely sensed large‐scale water storage change in 25 large catchments around the world and (ii) measured soil water content and groundwater level in individual stations within 10 smaller catchments across the United States. The model‐data comparison for large‐scale water storage change (i) shows good model ability to reproduce the observed temporal variability around long‐term average conditions in most of the large study catchments. Also, the model comparison with locally measured data for soil water content and groundwater level in the smaller U.S. catchments (ii) shows good representation of relative seasonal and longer‐term fluctuations and their timings and frequencies. Overall, the model results tend to underestimate rather than exaggerate the range of temporal soil moisture fluctuations and storage changes. The model synthesis of large‐scale hydroclimatic data is based on fundamental catchment‐scale water balance and is as such useful for identifying flux imbalance biases in the hydroclimatic data series that are used as model inputs.

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DAHITI – an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry

Cited by 334 publications

References 29 publications

Potential of ENVISAT Radar Altimetry for Water Level Monitoring in the Pantanal Wetland

Potential of ENVISAT Radar Altimetry for Water Level Monitoring in the Pantanal Wetland

Satellite Altimetry: Principles and Applications in Earth Sciences

Data-model comparison of temporal variability in long-term time series of large-scale soil moisture

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