Lake level change and total water discharge in East Africa Rift Valley from satellite-based observations

Hassan, A. A.; Jin, Shuanggen

doi:10.1016/j.gloplacha.2014.03.005

Cited by 72 publications

(44 citation statements)

References 47 publications

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“…This procedure was already used with GRACE data by Baur (2012) and Hassan and Jin (2014) as a method to derive the long-term component, in Bergmann et al (2012) to robustly deseasonalize GRACE time series, and in Frappart et al (2013) to compare terrestrial water storage with monthly rainfall time series in the Amazon basin. It has also been successfully applied, for instance, in a hydro-climatological setting (Gudmundsson et al 2011) or to extract temperature trends (Dufresne et al 2013).…”

Section: Seasonal Trend Decomposition Using Loess (Stl)mentioning

confidence: 99%

“…Most of the long-term signal that is dominating GRACE variability over the Middle East, the Caspian Sea and the Aral Sea can be attributed to a drying trend partly due to anthropogenic water abstraction (Singh et al 2012;Voss et al 2013;Joodaki et al 2014;Forootan et al 2014a). On the contrary, the region of Lake Victoria is dominated by nonlinear variations in the long-term component, which have been related to hydropower dam operations, precipitation anomalies and ENSO (Awange et al 2008;Swenson and Wahr 2009;Becker et al 2010;Hassan and Jin 2014). Another important drying trend can be found in Argentina, especially in the southern part of the La Plata basin (Chen et al 2010b;Abelen et al 2015).…”

Section: Linear Trendsmentioning

confidence: 99%

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Assessing Global Water Storage Variability from GRACE: Trends, Seasonal Cycle, Subseasonal Anomalies and Extremes

Humphrey

Gudmundsson

Seneviratne

2016

Remote Sensing and Water Resources

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Throughout the past decade, the Gravity Recovery and Climate Experiment (GRACE) has given an unprecedented view on global variations in terrestrial water storage. While an increasing number of case studies have provided a rich overview on regional analyses, a global assessment on the dominant features of GRACE variability is still lacking. To address this, we survey key features of temporal variability in the GRACE record by decomposing gridded time series of monthly equivalent water height into linear trends, inter-annual, seasonal, and subseasonal (intra-annual) components. We provide an overview of the relative importance and spatial distribution of these components globally. A correlation analysis with precipitation and temperature reveals that both the inter-annual and subseasonal anomalies are tightly related to fluctuations in the atmospheric forcing. As a novelty, we show that for large regions of the world high-frequency anomalies in the monthly GRACE signal, which have been partly interpreted as noise, can be statistically reconstructed from daily precipitation once an adequate averaging filter is applied. This filter integrates the temporally decaying contribution of precipitation to the storage changes in any given month, including earlier precipitation. Finally, we also survey extreme dry anomalies in the GRACE record and relate them to documented drought events. This global assessment sets regional studies in a broader context and reveals phenomena that had not been documented so far.

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Section: Seasonal Trend Decomposition Using Loess (Stl)mentioning

confidence: 99%

Section: Linear Trendsmentioning

confidence: 99%

Assessing Global Water Storage Variability from GRACE: Trends, Seasonal Cycle, Subseasonal Anomalies and Extremes

Humphrey

Gudmundsson

Seneviratne

2016

Remote Sensing and Water Resources

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“…For instance, GRACE-derived TWSC, in conjunction with precipitation and discharge observations, has been used for estimating evaporation as a residual (see, e.g., Rodell et al 2004;Ramillien et al 2006;Long et al 2014;Zeng et al 2014;Andam-Akorful et al 2014). Furthermore, if precipitation and evaporation (or precipitation minus evaporation P E, named net precipitation) are available in conjunction with GRACE-derived TWSC, it is possible to compute the total discharge for a particular drainage basin as shown by many authors (see, e.g., Syed et al 2005;Ferreira et al 2013;Hassan and Jin 2014a;Lorenz et al 2014;Sneeuw et al 2014).…”

Section: Introductionmentioning

confidence: 99%

An Investigation on the Closure of the Water Budget Methods Over Volta Basin Using Multi-Satellite Data

Ferreira¹,

Asiah²

2015

International Association of Geodesy Symposia

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The terrestrial water budget over a particular hydrological domain (e.g., a drainage basin) plays an important role in understanding the interactions among the energy and water cycles. In this work, we assess the closure of the water budget methods [i.e., terrestrial water budget (TWB) and the coupled atmospheric-terrestrial water budget (ATWB)] as well as the control of total water storage gain over Volta Basin of West Africa. To achieve this, we explore the available satellite and data products: GRACE-derived terrestrial water storage changes (TWSC), satellite altimetry, TRMM-measured rainfall, MODIS-estimated evaporation, atmospheric moisture storage and divergence (ERA-Interim reanalysis data), and in situ discharge. The closure of water budgets are assessed by comparison with GRACE-derived TWSC. The results indicate that the closure of water budgets over the Basin, considering the agreement with GRACE-derived TWSC, present an RMSE of 33.72 and 48.22 mm/month for TWB and ATWB, respectively. This implies that the net precipitation (precipitation minus evaporation) computed from ERA-Interim reanalysis data presents high uncertainties over the Basin. Further, the significant accumulated water gain of 162.84 mm for the period of January 2003-December 2012, is 48% controlled by Lake Volta.

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“…More recent studies use satellite data for estimating precipitation on the lake, providing temporally and spatially homogeneous observations. In the Lake Victoria Basin, Awange et al (2007b) ;Swenson 5 and Wahr (2009); Hassan and Jin (2014) used products of the Tropical Rainfall Measuring Mission (TRMM), which provides monthly precipitation rates.…”

Section: Precipitation On the Lakementioning

confidence: 99%

“…The lack of in situ observations of lake precipitation, evaporation and inflow made it often almost impossible to close the water balance independently from observed lake levels. More recent studies use satellite-derived precipitation estimates over the lake and its basin (Awange et al, 2007a;Swenson and Wahr, 2009;Hassan and Jin, 2014;Shamsudduha et al, 2017). However, major 5 uncertainties in the quantification of the evaporation and inflow term still remain.…”

Section: Uncertainty and Limitationsmentioning

confidence: 99%

Modelling the water balance of Lake Victoria (East Africa) – Part 1: Observational analysis

Vanderkelen¹,

Lipzig²,

Thiery³

2018

Preprint

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Abstract. Lake Victoria is the largest lake in Africa and one of the two major sources of the Nile River. The water level of Lake Victoria is determined by its water balance, consisting of precipitation on the lake, evaporation from the lake, inflow from tributary rivers and lake outflow, controlled by two hydropower dams. Due to scarcity of in-situ observations, previous estimates of individual water balance terms are characterised by substantial uncertainties, which makes that the water balance is often not closed independently. Here we present a water balance model for Lake Victoria, using state-of-the-art remote sensing Precipitation is the main cause of seasonal and inter-annual lake level fluctuations, and on average causes the lake level to rise from May to July and to fall from August to December. Finally, our results indicate that the 2004-2005 drop in lake level can be attributed about half to a drought in the Lake Victoria Basin and about half to an enhanced outflow, highlighting the sensitivity 10 of the lake level to human operations at the outflow dam.

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Lake level change and total water discharge in East Africa Rift Valley from satellite-based observations

Cited by 72 publications

References 47 publications

Assessing Global Water Storage Variability from GRACE: Trends, Seasonal Cycle, Subseasonal Anomalies and Extremes

Assessing Global Water Storage Variability from GRACE: Trends, Seasonal Cycle, Subseasonal Anomalies and Extremes

An Investigation on the Closure of the Water Budget Methods Over Volta Basin Using Multi-Satellite Data

Modelling the water balance of Lake Victoria (East Africa) – Part 1: Observational analysis

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