Evaporation Estimation for Lake Okeechobee in South Florida

Abtew, Wossenu

doi:10.1061/(asce)0733-9437(2001)127:3(140)

Cited by 96 publications

(62 citation statements)

References 11 publications

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“…The PM or PT or DK deviations are scattered above the zero level (over estimated) for all 23 years. The overestimation of Penman and Priestley-Taylor methods are often reported [9]. The HM, JH and MK deviations are scattered below the zero level (under estimated) for all years except for 1998.…”

Section: Evaporation From Seven Methods and Methods Comparisonmentioning

confidence: 92%

“…In the article by Lenters et al, some long-term studies were summarized. Apart from these summarized examples, there are other long-term studies that have been conducted: a lake in Northwest Territories of Canada for six years [7], the small Lake Kinneret in Israel for five years [8], the large Lake Okeechobee (1732 km 2 ) in Florida USA for five years [9], a small reservoir (8.8 km 2 ) in Minas Gerais State, Brazil for three years [10], the large man-made Lake Mead (506 km 2 ) in Las Vegas, Nevada USA for three years [11], the large Bear Lake in Idaho and Utah, USA for two years [12], the Cottonwood Lake Area in North Dakota USA for 5 years [13], the Mirror Lake in New Hampshire USA for 6 years [14], the Perch Lake in eastern Ontario Canada for 11 years [15], several lakes in Minnesota USA for 11 years [16], and several more examples using two-year data [17][18][19]. Scheider et al [20][21] and Hutchinson et al [22] have reported on lake evaporation study of 15 years (1976-1992) for lakes in Muskoka area of Ontario, Canada.…”

Section: Introductionmentioning

confidence: 99%

“…Rasmussen et al [16] compared seven methods for use in lake temperature modeling. The evaluation of seven methods by Abtew [9] suggested that simple models (such as the modified Turc model only using solar radiation and maximum air temperature) could perform better than Penman-combination or Priestley-Taylor model requiring many more parameters. The four methods-Priestley-Taylor, DeBruin-Kejiman, Papadakis and Penman were compared with energy budget by Mosner and Aulenbach [24] using single-year data, and the Priestley-Taylor was found to be the best of the four methods.…”

Section: Introductionmentioning

confidence: 99%

“…Actual lake evaporation can be measured by an instrument such as the eddy covariance system, but long-term data from the system has not been reported. A common measure of lake evaporation is by using an evaporation pan, with a limitation: the pan coefficient (multiplying the coefficient with the pan evaporation data to get lake evaporation) depends on season, location and the specific pan in use [9]. In case a reliable and direct measure of long-term evaporation did not exist, many reported comparison studies chose to evaluate methods by comparing evaporation results with that of an energy budget method, as the latter was considered the best method to estimate lake evaporation [6,13,14,23,24].…”

Section: Introductionmentioning

confidence: 99%

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Long-Term Study of Lake Evaporation and Evaluation of Seven Estimation Methods: Results from Dickie Lake, South-Central Ontario, Canada

Yao¹

2009

JWARP

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Establishing satisfactory calculation methods of lake evaporation has been crucial for research and management of water resources and ecosystems. A 30 year dataset from Dickie Lake, south-central Ontario, Canada added to the limited long-term studies on lake evaporation. Evaporation during ice-free season was calculated separately using seven evaporation methods, based on field meteorology, hydrology and lake water temperature data. Actual evaporation determined during a portion of a year was estimated using a lake energy budget model, and the estimation was used as reference evaporation for evaluation of the seven methods. The deviation of method-induced evaporation from the reference evaporation was compared among the seven methods, and a performance rank was proposed based on the root mean squared deviation and coefficient of efficiency. As for the whole ice-free season (roughly May to November), the water balance was the best method, followed by Makkink, DeBruin-Kejiman, Penman, Priestley-Taylor, Hamon, and Jensen-Haise methods. As for shorter duration (a week to a month), the DeBruin-Kejiman was the best method, followed by Penman, Priestley-Taylor, Makkink, Hamon, Jensen-Haise, and water balance method. Annual and seasonal changes of energy budget terms and the compensation function of lake heat storage in evaporation flux were also analyzed.

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Section: Evaporation From Seven Methods and Methods Comparisonmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Long-Term Study of Lake Evaporation and Evaluation of Seven Estimation Methods: Results from Dickie Lake, South-Central Ontario, Canada

Yao¹

2009

JWARP

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“…Owing to the simplicity of empirical methods and their potential to reproduce results comparable to physically based models (Abtew, 2001), a generalized form of the Hargreaves method (Xu and Singh, 2000 for detail) is considered in this study. It is an empirical method that uses solar radiation and temperature (Equation (1)) to compute daily/monthly PET:…”

Section: Estimation Of Potential Evapotranspirationmentioning

confidence: 99%

Temporal extension of meteorological records for hydrological modelling of Lake Chad Basin (Africa) using satellite rainfall data and reanalysis datasets

Bastola

Dagognet

2011

Meteorological Applications

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ABSTRACT:The inability to estimate reliable meteorological data for the hydrological modelling of the Lake Chad Basin (LCB) over the present decade hinders the use and evaluation of a wide range of hydrological information that can be extracted from satellite altimetry, gravitometry, and imagery. This is mainly due to the sparse distribution of gauging stations and difficulty in data assessment. Therefore, two key chronological records of rainfall and potential evapotranspiration (PET) were constructed for flow simulation modelling in the LCB. Rainfall estimates were extracted from two satellite-based precipitation products for the period 1998-2007 and combined with available chronological rainfall data. Similarly, PET records were derived over the period 1948-2007 using the meteorological variables extracted from reanalysis datasets, and the Hargreaves method. Subsequently, they were evaluated, first by pairwise comparison against available gridded datasets, and second by analyzing the error propagated through a distributed hydrological model.The satellite products strongly agree with the rain gauges. Compared to gridded rainfall estimates from the Climate Research Unit (CRU), satellite products tend to underestimate the values in the southern and eastern mountainous regions of the LCB and overestimate them within the central part of the LCB. Furthermore, flows simulated using the satellite products are in closer agreement with observed discharges than those modelled using CRU data. Concerning PET, the estimates from the Hargreaves method were compared with two gridded PET datasets: Penman PET data derived using climate data of the CRU, and climatological PET data from the Food and Agriculture Organization.

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Mapping evapotranspiration trends using MODIS and SEBAL model in a data scarce and heterogeneous landscape in Eastern Africa

et al. 2013

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[1] Evapotranspiration (ET) accounts for a substantial amount of the water use in river basins particular in the tropics and arid regions. However, accurate estimation still remains a challenge especially in large spatially heterogeneous and data scarce areas including the Upper Pangani River Basin in Eastern Africa. Using multitemporal Moderate-resolution Imaging Spectroradiometer (MODIS) and Surface Energy Balance Algorithm of Land (SEBAL) model, 138 images were analyzed at 250 m, 8 day scales to estimate actual ET for 16 land use types for the period 2008-2010. A good agreement was attained for the SEBAL results from various validations. For open water evaporation, the estimated ET for Nyumba ya Mungu (NyM) reservoir showed a good correlations (R 5 0.95; R 2 5 0.91; Mean Absolute Error (MAE) and Root Means Square Error (RMSE) of less than 5%) to pan evaporation using an optimized pan coefficient of 0.81. An absolute relative error of 2% was also achieved from the mean annual water balance estimates of the reservoir. The estimated ET for various agricultural land uses indicated a consistent pattern with the seasonal variability of the crop coefficient (K c ) based on Penman-Monteith equation. In addition, ET estimates for the mountainous areas has been significantly suppressed at the higher elevations (above 2300 m a.s.l.), which is consistent with the decrease in potential evaporation. The calculated surface outflow (Q s ) through a water balance analysis resulted in a bias of 12% to the observed discharge at the outlet of the river basin. The bias was within 13% uncertainty range at 95% confidence interval for Q s . SEBAL ET estimates were also compared with global ET from MODIS 16 algorithm (R 5 0.74; R 2 5 0.32; RMSE of 34% and MAE of 28%) and comparatively significant in variance at 95% confidence level. The interseasonal and intraseasonal ET fluxes derived have shown the level of water use for various land use types under different climate conditions. The evaporative water use in the river basin accounted for 94% to the annual precipitation for the period of study. The results have a potential for use in hydrological analysis and water accounting.Citation: Kiptala, J. K., Y. Mohamed, M. L. Mul, and P. Van der Zaag (2013), Mapping evapotranspiration trends using MODIS and SEBAL model in a data scarce and heterogeneous landscape in Eastern Africa, Water Resour. Res., 49,[8495][8496][8497][8498][8499][8500][8501][8502][8503][8504][8505][8506][8507][8508][8509][8510]

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Evaporation Estimation for Lake Okeechobee in South Florida

Cited by 96 publications

References 11 publications

Long-Term Study of Lake Evaporation and Evaluation of Seven Estimation Methods: Results from Dickie Lake, South-Central Ontario, Canada

Long-Term Study of Lake Evaporation and Evaluation of Seven Estimation Methods: Results from Dickie Lake, South-Central Ontario, Canada

Temporal extension of meteorological records for hydrological modelling of Lake Chad Basin (Africa) using satellite rainfall data and reanalysis datasets

Mapping evapotranspiration trends using MODIS and SEBAL model in a data scarce and heterogeneous landscape in Eastern Africa

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