Surface Energy Balance of Fresh and Saline Waters: AquaSEBS

Abdelrady, Ahmed; Timmermans, J.; Vekerdy, Z.; Salama, Mhd. Suhyb

doi:10.3390/rs8070583

Cited by 20 publications

(29 citation statements)

References 31 publications

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“…There is a wide variety of methods that are used to estimate evaporation from water bodies. They can be subdivided into five major types of approach, namely the pan method, water balance method, energy budget approaches, bulk transfer models, and combination methods (Finch and Calver, 2008;Abtew and Melesse, 2013). In this study, we will systematically compare six methods that are commonly used to estimate surface evaporation and that are sensitive to different forcings (Table 1; see Table A1b for explanations of all the variables).…”

Section: Evaporation Methodsmentioning

confidence: 99%

“…In the case of open water bodies wind speed was found to be the most important driver of evaporation according to Granger and Hedstrom (2011). Despite the fact that water bodies comprise a large share of the total area in the Netherlands (∼ 17 %, Huisman, 1998) and therefore form a crucial element in our water management system, in the past only a few studies in the Netherlands focussed on open water evaporation (Keijman and Koopmans, 1973;de Bruin and Keijman, 1979;Abdelrady et al, 2016;Solcerova et al, 2019), and few observations of open water evaporation are available.…”

Section: Introductionmentioning

confidence: 99%

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Evaporation from a large lowland reservoir – (dis)agreement between evaporation models from hourly to decadal timescales

Jansen

Teuling

2020

Hydrol. Earth Syst. Sci.

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Abstract. Accurate monitoring and prediction of surface evaporation become more crucial for adequate water management in a changing climate. Given the distinct differences between characteristics of a land surface and a water body, evaporation from water bodies requires a different parameterization in hydrological models. Here we compare six commonly used evaporation methods that are sensitive to different drivers of evaporation, brought about by a different choice of parameterization. We characterize the (dis)agreement between the methods at various temporal scales ranging from hourly to 10-yearly periods, and we evaluate how this reflects in differences in simulated water losses through evaporation of Lake IJssel in the Netherlands. At smaller timescales the methods correlate less (r=0.72) than at larger timescales (r=0.97). The disagreement at the hourly timescale results in distinct diurnal cycles of simulated evaporation for each method. Although the methods agree more at larger timescales (i.e. yearly and 10-yearly), there are still large differences in the projected evaporation trends, showing a positive trend to a more (i.e. Penman, De Bruin–Keijman, Makkink, and Hargreaves) or lesser extent (i.e. Granger–Hedstrom and FLake). The resulting discrepancy between the methods in simulated water losses of the Lake IJssel region due to evaporation ranges from −4 mm (Granger–Hedstrom) to −94 mm (Penman) between the methods. This difference emphasizes the importance and consequence of the evaporation method selection for water managers in their decision making.

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Section: Evaporation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaporation from a large lowland reservoir – (dis)agreement between evaporation models from hourly to decadal timescales

Jansen

Teuling

2020

Hydrol. Earth Syst. Sci.

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“…To take into account the influence of water salinity on the evaporation rate, Abdelrady et al [20] adapted the SEBS (Surface Energy Balance System) model for large water bodies (AquaSEBS) via parameterizing the water heat flux (the analogy of ground heat flux over water) and the sensible heat flux by adapting the roughness heights for momentum and heat transfer. Furthermore, they introduced a salinity conversion factor over saline water bodies.…”

Section: Surface Energy Fluxesmentioning

confidence: 99%

Preface: Land Surface Processes and Interactions—From HCMM to Sentinel Missions and Beyond

Vekerdy

Zeng

2017

Remote Sensing

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“…Although a correction factor is applied to account for the difference between terrestrial evaporation and E water , Makkink's equation is not able to capture the dynamics of E water compared with what has been found by the aforementioned observational studies on E water and compared with estimations from physically based lake models such as FLake (Jansen and Teuling, 2020). This calls for improvement and implementation of our understanding of the driving process of E water by building on previous studies of E water for Lake IJssel (Keijman and Koopmans, 1973;De Bruin and Keijman, 1979;Abdelrady et al, 2016). Therefore, the goal of our study is to analyse the dynamics of E water for Lake IJssel using a data-driven analysis with the aim of parameterizing E water based on its main drivers.…”

Section: Introductionmentioning

confidence: 99%

Evaporation from a large lowland reservoir – observed dynamics and drivers during a warm summer

Jansen

Uijlenhoet

Jacobs

et al. 2022

Hydrol. Earth Syst. Sci.

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Abstract. We study the controls on open water evaporation of a large lowland reservoir in the Netherlands. To this end, we analyse the dynamics of open water evaporation at two locations, Stavoren and Trintelhaven, at the border of Lake IJssel (1100 km2); eddy covariance systems were installed at these locations during the summer seasons of 2019 and 2020. These measurements were used to develop data-driven models for both locations. Such a statistical model is a clean and simple approach that can provide a direct indication of (and insight into) the most relevant input parameters involved in explaining the variance in open water evaporation, without making a priori assumptions regarding the process itself. We found that a combination of wind speed and the vertical vapour pressure gradient can explain most of the variability in observed hourly open water evaporation. This is in agreement with Dalton’s model, which is a well-established model often used in oceanographic studies for calculating open water evaporation. Validation of the data-driven models demonstrates that a simple model using only two variables yields satisfactory results at Stavoren, with R2 values of 0.84 and 0.78 for hourly and daily data respectively. However, the validation results for Trintelhaven fall short, with R2 values of 0.67 and 0.65 for hourly and daily data respectively. Validation of the simple models that only use routinely measured meteorological variables shows adequate performance at hourly (R2=0.78 at Stavoren and R2=0.51 at Trintelhaven) and daily (R2=0.82 at Stavoren and R2=0.87 at Trintelhaven) timescales. These results for the summer periods show that open water evaporation is not directly coupled to global radiation at the hourly or daily timescale. Rather a combination of wind speed and vertical gradient of vapour pressure is the main driver at these timescales. We would like to stress the importance of including the correct drivers of open water evaporation in the parametrization in hydrological models in order to adequately represent the role of evaporation in the surface–atmosphere coupling of inland waterbodies.

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Surface Energy Balance of Fresh and Saline Waters: AquaSEBS

Cited by 20 publications

References 31 publications

Evaporation from a large lowland reservoir – (dis)agreement between evaporation models from hourly to decadal timescales

Evaporation from a large lowland reservoir – (dis)agreement between evaporation models from hourly to decadal timescales

Preface: Land Surface Processes and Interactions—From HCMM to Sentinel Missions and Beyond

Evaporation from a large lowland reservoir – observed dynamics and drivers during a warm summer

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