Harmonizing Multiple Methods for Reconstructing Historical Potential and Reference Evapotranspiration

Belaineh, Getachew; Sumner, David M.; Carter, Edward; Clapp, David

doi:10.1061/(asce)he.1943-5584.0000935

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…Harmonization is basically termed as the adjustment of variabilities and inconsistencies within various methods and measurements. It is basically used to minimize the different types of errors, namely systematic and non-systematic errors between two more different sources of datasets without hampering the internal compatibility of the new composite dataset [6,11]. FAO-56-PM method requires several meteorological variables for the computation of the ET, and hence, in data paucity conditions we could not use it.…”

Section: Harmonization Of Et Estimatesmentioning

confidence: 99%

An Approach for Estimation of Evapotranspiration by Standardizing Parsimonious Method

Kumari

Srivastava

2019

Agric Res

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Evapotranspiration (ET) is one of the important components of the hydrological cycle which is essential for sustainable water resource management and ecohydrological studies. Accurate estimation of ET is a crucial task in datascarce regions due to limited meteorological variables. There exist a number of indirect methods among which the standard method for computing ET is FAO-56-Penman-Monteith (PM) method. However, due to paucity of flux data such as the components of net radiation, relative humidity, vapour pressure, and wind speed in many parts of the world, the use of standard benchmark method is limited. This limitation provides the widespread acceptance of the method which uses fewer variables and can give an accurate estimation of ET for water resource management. In this study, we have developed a framework to standardize the Hargreaves-based ET in the Kangsabati River basin. We utilize the weather datasets from six stations, namely Purulia, Bankura, Mohanpur, Jhargram, Kharagpur, and Midnapore to apply the ET standardization method. We have compared both the raw and corrected ET from Hargreaves with FAO-56-PM ET prior and after correction by using harmonization method. Performance evaluation of harmonization technique is done using statistical and graphical indicators for the duration of 2006-2010. It is observed that Purulia (r = 0.83 and d = 0.80) and Mohanpur (r = 0.85 and d = 0.87) stations are almost standardized appropriately on daily scale. Further, the highest r and R 2 was obtained for Mohanpur station (r = 0.972; d = 0.940), while least for Jhargram station (r = 0.961; d = 0.741) at monthly scale. Overall, this approach can be used to provide the utility in data-scarce conditions irrespective of agro-climatic conditions.

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Section: Harmonization Of Et Estimatesmentioning

confidence: 99%

An Approach for Estimation of Evapotranspiration by Standardizing Parsimonious Method

Kumari

Srivastava

2019

Agric Res

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“…The two PET estimates are consistent in the lowest PET region but vary considerably in regions with relatively high PET magnitude, while the Hargreaves model performs better than the Penman-Monteith model in estimating PET [80,81]. The incident solar radiation at the Earth's surface is an important determinant of PET [82]. In general, clearer skies lead to large diurnal variations in temperature, and cloudy skies lead to smaller diurnal variations in temperature.…”

Section: Comparison Of Remote Sensing Evaporation Datamentioning

confidence: 86%

Assessment of the Spatiotemporal Impact of Water Conservation on the Qinghai–Tibet Plateau

et al. 2023

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The Qinghai–Tibet Plateau is a proven essential water conservation region in Asia. However, various factors, such as anthropogenic activities, climate, and vegetation significantly affect its water conservation. Along these lines, a deep understanding of the spatiotemporal patterns of water conservation for this plateau and relevant influencing elements is considered of great importance. This paper calculates the water conservation on the Qinghai–Tibet Plateau based on the InVEST model, and given that the evapotranspiration data are an important parameter of the InVEST model, this study selects the mainstream evapotranspiration data to compare the accuracy of the simulated water yield, and also selects the most accurate remote sensing evapotranspiration data examined in the study to carry out the study of water conservation on the Qinghai–Tibet Plateau. Due to the large area of the Qinghai–Tibet Plateau and the various types of climate and ecological zones, this paper analyzes the spatial and temporal variations of water conservation on the Qinghai–Tibet Plateau in each ecological zone and climate zone division and detects the factors affecting water conservation on the Qinghai–Tibet Plateau by using the geo-detector method. From our analysis, the following outcomes are proven: on the Qinghai–Tibet Plateau, (1) the overall water conservation decreased from southeast to northwest; (2) the water conservation of the studied plateau in 1990, 2000, 2010, and 2020 was 656.56, 590.85, 597.4, and 651.85 mm, respectively; (3) precipitation, evapotranspiration, and NDVI exhibited a positive relationship with water conservation; (4) the precipitation factor had the biggest impact on the spatial distinctions of the water resource governance; (5) the above factors are combined with the slope factor and the interaction of each factor to improve water conservation. Our work provides valuable insights for the further implementation of ecological projects with a view to enhancing water resource management methods.

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Framework for Standardizing Less Data-Intensive Methods of Reference Evapotranspiration Estimation

Singh

Jha

Pandey

2018

Water Resour Manage

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Harmonizing Multiple Methods for Reconstructing Historical Potential and Reference Evapotranspiration

Cited by 3 publications

References 10 publications

An Approach for Estimation of Evapotranspiration by Standardizing Parsimonious Method

An Approach for Estimation of Evapotranspiration by Standardizing Parsimonious Method

Assessment of the Spatiotemporal Impact of Water Conservation on the Qinghai–Tibet Plateau

Framework for Standardizing Less Data-Intensive Methods of Reference Evapotranspiration Estimation

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