A simple temperature method for the estimation of evapotranspiration

Enku, Temesgen; Melesse, Assefa M.

doi:10.1002/hyp.9844

Cited by 26 publications

(27 citation statements)

References 11 publications

(12 reference statements)

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“…Sensitivity analysis is an important technique to improve the understanding of the dominant climatic variables in the estimation of ET 0 in an area of interest (Enku and Melesse 2014). Currently, the major approaches of investigating sensitivity include the sensitivity curve approach and the sensitivity coefficient approach.…”

Section: Methods For Sensitivity Analysismentioning

confidence: 99%

Sensitivity study of reference crop evapotranspiration during growing season in the West Liao River basin, China

Gao

Dong

et al. 2015

Theor Appl Climatol

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We have analyzed the trends of reference crop evapotranspiration (ET 0 ) through the Penman-Monteith model and climate factors in the West Liao River basin using the Mann-Kendall test after removing the effect of significant lag-1 serial correlation from the time series of the data by trendfree pre-whitening. The changing characteristics of the sensitivity coefficients and the spatial distribution during growing season are investigated, and the correlation between the sensitivity coefficients with elevation and the key climate factors by relative contribution and stepwise regression methods are evaluated. A significant overall increase in air temperature, and a significant decrease in wind speed, solar radiation, sunshine duration, relative humidity, and a slight decrease in ET 0 are observed. Sensitivity analysis shows that ET 0 is most sensitive to solar radiation, followed by relative humidity. In contrast, ET 0 is least sensitive to the average air temperature. The sensitivity coefficients for the maximum and minimum air temperature and relative humidity have a significant negative correlation with elevation, while the coefficients for other variables are not strongly correlated with elevation. The spatial distribution of the sensitivity coefficients for wind speed and solar radiation is opposite, i.e., in regions where the sensitivity coefficients for wind speed are high; the sensitivity coefficients for solar radiation are low and vice versa. The sensitivity for relative humidity and average air temperature is region specific in the plain area. However, ET 0 is most sensitive to the climate change in regions of high elevation. Wind speed is the most dominant contributor followed by solar radiation. Average air temperature contributes the least. The stepwise regression analysis indicates that wind speed is the foremost dominant variable influencing ET 0 . Relative contribution and stepwise regression analysis can be used to determine the main variables affecting ET 0 , and it also strongly supports that the aerodynamic component is the dominant factor.

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Section: Methods For Sensitivity Analysismentioning

confidence: 99%

Sensitivity study of reference crop evapotranspiration during growing season in the West Liao River basin, China

Gao

Dong

et al. 2015

Theor Appl Climatol

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“…We found that the CFSR rainfall was similar but overestimated the observed rainfall and the CFSR rainfall was multiplied by of 0.8 as a correction. Daily evapotranspiration (ET) was estimated from daily maximum temperature data using the temperature method developed by Enku & Melesse (2014). The long time series daily maximum temperature was collected from the CFSR dataset.…”

Section: Datamentioning

confidence: 99%

Biohydrology of low flows in the humid Ethiopian highlands: The Gilgel Abay catchment

et al. 2014

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Abstract:In Ethiopia the population is rapidly expanding. As a consequence the landscape is rapidly changing. Eucalyptus plantations are increasing and irrigation projects are implemented. The hydrological effects of the changing landscape on river (low) flows have not been well documented and therefore the amount of water available in the future might be over optimistic. The objective of this paper is to establish how low flows have been impacted by new developments in irrigation and by landscape change. For this paper, we choose the Gilgel Abay in the headwaters of the upper Blue Nile basin, since it has both good quality discharge data and it is located in the Tana Beles growth corridor. Numerical and statistical means were used to analyze the 25 years of available low flow data. We found a statistically significant decreasing trend (P < 0.00001) of low flow in the Gilgel Abay. From 1980's to 1990's the low flow decreased by 25% and from 1990's to 2000's the low flow was reduced by 46%. The deterministic analysis with the Parameter Efficient Distributed (PED) model supported the statistical findings and indicated that in the middle of the nineteen nineties, after irrigation projects and eucalyptus plantations increased greatly, the low flows decreased more rapidly.

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“…Journal of Water Resource and Protection (MoWIE). Potential evapo-transpiration (PET) was estimated for both of the watersheds using the temperature method [14].…”

Section: Datamentioning

confidence: 99%

Applicability of Galway River Flow Forecasting and Modeling System (GFFMS) for Lake Tana Basin, Ethiopia

Dessalegn¹,

Moges²,

Dagnew³

et al. 2017

JWARP

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Flow forecasting is used in activities requiring stream flow data such as irrigation development, water supply, and flood control and hydropower development. Real time flow forecasting with special interest to flooding is one of the most important applications of hydrology for decision making in water resources. In order to meet flood and flow forecasts using hydrological models may be used and subsequently be updated in accordance with residuals. Therefore in this study, different flood forecasting methods are evaluated for their potential of stream flow forecasting using Galway River Flow Forecasting and Modeling System (GFFMS) in Lake Tana basin, upper Blue Nile basin, Ethiopia. The areal rainfall and temperature data was used for the model input.Three forecast updating methods, i.e., autoregressive (AR), linear transfer function (LTF) and neuron network updating (NNU) methods were compared for stream flow forecasting, at one to six days lead time. The most sensitive parameters were fine-tuned first and modeled for a calibration period of 1994-2004 for three selected watersheds of the Tana basin. The results indicate that with the exception of the simple linear model, an acceptable result could be obtained using models embedded in the software. Artificial neural network model performed well for Gilgel Abay (NSE = 0.87) and Gumara (NSE = 0.9) watersheds but for Megech watershed, SMAR model (NSE = 0.78) gave a better forecast result. In capturing the peak flows LTF and NNU in forecast updating mode performed better for Gilgel Abay and Megech watersheds, respectively. The results of this study implied that GFFMS can be used as a useful tool to forecast peak stream flows for flood early warning in the upper Blue Nile basin.

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A simple temperature method for the estimation of evapotranspiration

Cited by 26 publications

References 11 publications

Sensitivity study of reference crop evapotranspiration during growing season in the West Liao River basin, China

Sensitivity study of reference crop evapotranspiration during growing season in the West Liao River basin, China

Biohydrology of low flows in the humid Ethiopian highlands: The Gilgel Abay catchment

Applicability of Galway River Flow Forecasting and Modeling System (GFFMS) for Lake Tana Basin, Ethiopia

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