Combining satellite radar altimetry, SAR surface soil moisture and GRACE total storage changes for hydrological model calibration in a large poorly gauged catchment

Milzow, Christian; Krogh, P. E.; Bauer‐Gottwein, Peter

doi:10.5194/hess-15-1729-2011

Cited by 107 publications

(84 citation statements)

References 44 publications

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“…The high accuracy of altimetry data provided by the latest spatial missions and the convincing results obtained in the previous applications suggest that these data may also be employed for hydrological model calibration [22,23,[28][29][30]. Using hydrological models calibrated with in situ data in other sites in the basin, Leon et al [17] and Getirana et al [22] developed methods to derive rating curves at VS locations based on altimetry levels and modeled discharges.…”

Section: Introductionmentioning

confidence: 99%

River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling

et al. 2013

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A methodology to estimate the discharge along rivers, even poorly gauged ones, taking advantage of water level measurements derived from satellite altimetry is proposed. The procedure is based on the application of the Rating Curve Model (RCM), a simple method allowing for the estimation of the flow conditions in a river section using only water levels recorded at that site and the discharges observed at another upstream section. The European Remote-Sensing Satellite 2, ERS-2, and the Environmental Satellite, ENVISAT, altimetry data are used to provide time series of water levels needed for the application of RCM. In order to evaluate the usefulness of the approach, the results are compared with the ones obtained by applying an empirical formula that allows discharge estimation from remotely sensed hydraulic information. To test the proposed procedure, the 236 km-reach of the Po River is investigated, for which five in situ stations and four satellite tracks are available. Results show that RCM is able to appropriately represent the discharge, and its performance is better than the empirical formula, although this latter does not require upstream hydrometric data. Given its simple formal structure, the proposed approach can be conveniently utilized in ungauged sites where only the survey of the cross-section is needed.

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Section: Introductionmentioning

confidence: 99%

River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling

et al. 2013

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“…GRACE however provides data over the entire basin without the need for ground data making it an ideal tool for this study (cf. DEUS et al, 2011 andMILZOW et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Monitoring mass changes in the Volta River basin using GRACE satellite gravity and TRMM precipitation

2012

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GRACE satellite gravity data was used to estimate mass changes within the Volta River basin in West African for the period of January, 2005 to December, 2010. We also used the precipitation data from the Tropical Rainfall Measurement Mission (TRMM) to determine relative contributions source to the seasonal hydrological balance within the Volta River basin. We found out that the seasonal mass change tends to be detected by GRACE for periods from 1 month in the south to 4 months in the north of the basin after the rainfall events. The results suggested a significant gain in water storage in the basin at reference epoch 2007.5 and a dominant annual cycle for the period under consideration for both in the mass changes and rainfall time series. However, there was a low correlation between mass changes and rainfall implying that there must be other processes which cause mass changes without rainfall in the upstream of the Volta River basin. Keywords: Equivalent Water Thickness; Mass Transport; Water Storage.* Author to whom correspondence should be addressed Monitoring mass changes in the Volta River Basin usin GRACE... Bol. Ciênc. Geod., sec. Artigos, Curitiba, v. 18, n o 4, p.549-563, out-dez, 2012.5 5 0 RESUMO Dados da missão Gravity Recovery and Climate Exchange (GRACE) são usados para estimar mudanças em massa na bacia hidrográfica do Rio Volta na Africa Ocidental entre o período de janeiro de 2005 a dezembro de 2010. Empregou-se também os dados de precipitação do satélite Tropical Rainfall Measurement Mission (TRMM) para determinar a fonte de contribuições em relação ao balanço hidrológico sazonal na bacia do Rio Volta. Os resultados mostram que a mudança de massa sazonal tende a ser detectada pelos satélites da missão GRACE a partir de 1 mês, no sul e de 4 meses no norte da bacia após a precipitação. Os resultados sugerem um ganho significativo no armazenamento d'água na bacia para a época de referência 2007,5 e um ciclo anual predominante para o período considerado para mudanças em massa e precipitação. No entanto, notou-se uma baixa correlação entre as alterações da massa e precipitação o que implica que deve haver outros processos que causam mudanças em massa sem ocorrer precipitação para o montante da bacia do Rio Volta. Palavras-chave: Equivalente à Lâmina D'água; Transporte de Massa; Armazenamento D'água.

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“…Some ground measurement and satellite gravimetry derived equivalent water thickness has been employed to verify the trend of the Lake Manyara water balance [10]. Over recent years, several studies have both applied remote sensing observations and gravimetry recovery and climate experiment (GRACE) measurements to study the hydrological cycles of lakes, rivers and associated basins in the East African Rift and elsewhere [10][11][12][13][14][15]. Changes in a basin's water budget are directly linked to local gravity variations [16].…”

Section: Introductionmentioning

confidence: 99%

Water Balance Modeling in a Semi-Arid Environment with Limited in situ Data Using Remote Sensing in Lake Manyara, East African Rift, Tanzania

2013

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Abstract:The purpose of this paper is to estimate the water balance in a semi-arid environment with limited in situ data using a remote sensing approach. We focus on the Lake Manyara catchment, located within the East African Rift of northern Tanzania. We use a distributed conceptual hydrological model driven by remote sensing data to study the spatial and temporal variability of water balance parameters within the catchment. Satellite gravimetry GRACE data is used to verify the trends of the inferred lake level changes. The results show that the lake undergoes high spatial and temporal variations, characteristic of a semi-arid climate with high evaporation and low rainfall. We observe that the Lake Manyara water balance and GRACE equivalent water depth show comparable trends; a 1652Despite the small size of Lake Manyara, GRACE data showed great potential for hydrological research on smaller un-gauged lakes and catchments in similar semi-arid environments worldwide. The water balance information can be used for further analysis of lake variations in relation to soil erosion, climate and land cover/land use change as well as different lake management and conservation scenarios.

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Combining satellite radar altimetry, SAR surface soil moisture and GRACE total storage changes for hydrological model calibration in a large poorly gauged catchment

Cited by 107 publications

References 44 publications

River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling

River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling

Monitoring mass changes in the Volta River basin using GRACE satellite gravity and TRMM precipitation

Water Balance Modeling in a Semi-Arid Environment with Limited in situ Data Using Remote Sensing in Lake Manyara, East African Rift, Tanzania

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