Computation of daily Penman–Monteith reference evapotranspiration in the Carpathian Region and comparison with Thornthwaite estimates

Lakatos, Mónika; Weidinger, Tamás; Hoffmann, Lilla; Bihari, Zita; Horváth, Ákos

doi:10.5194/asr-16-251-2020

Cited by 17 publications

(11 citation statements)

References 31 publications

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“…The difference of variation between Penman ETo method and PM ETo method has R 2 of 0.89 with RMSE of 2.36 mm/day and MBE of -1.12 mm/day at Lahore weather station as shown in the Table 3. indicate that Thornwait ETo method overestimated in 3 months of summer (June, July and August) and underestimated in the remaining months of the year by 14.54% as concluded by Lakatos, et al [43] shown in the Figure 3 (B) and Table 4. The variation difference between Thornwait ETo method and PM ETo method has R 2 of 0.95 with RMSE of 1.16 mm/day and MBE of 0.61 mm/day.…”

Section: Resultssupporting

confidence: 63%

Penman and Thornwait Equations for Estimating Reference Evapotranspiration Under Semi-Arid Environment

Hafeez

Bakhsh

Basit

et al. 2020

Current Research in Agricultural Sciences

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The estimation of reference evapotranspiration (ETo) is required for effective development and management of agriculture water systems. In order to define the most accurate method to estimate ETo in semi-arid climatic environment of Faisalabad, Lahore and Peshawar. Penman and Thornwait ETo methods are compared with standard Penman-Monteith (PM) ETo method. The statistical results show that Penman ETo method overestimates PM ETo method in all the semi-arid climatic regions of Faisalabad, Lahore and Peshawar by 34.91%, 39.51% and 30.75%, respectively. The R2 were 0.98, 0.98 and 0.99 at Faisalabad, Lahore and Peshawar weather stations, respectively. The RMSE were 2.47 mm/day, 2.64 mm/day and 2.19 mm/day at Faisalabad, Lahore and Peshawar weather station, respectively. The MBE of -2.41 mm/day, -2.58 mm/day and -2.13 mm/day were noted at Faisalabad, Lahore and Peshawar weather stations, respectively. The statistical result of Thornwait (Th) ETo method as compared with PM ETo method indicates underestimation of ETo in winter season and overestimation of ETo in summer season by 13.81%, 22.43% and 14.54% at Faisalabad, Lahore and Peshawar stations, respectively. The R2 of 0.92, 0.89 and 0.95 were noted at Faisalabad, Lahore and Peshawar weather stations, respectively. The RMSE were 2.14 mm/day, 2.36 mm/day and 1.16 mm/day at Faisalabad, Lahore and Peshawar weather stations, respectively. The MBE were -0.68 mm/day, -1.12 mm/day and 0.61 mm/day at Faisalabad, Lahore and Peshawar weather stations, respectively. Overall, Thornwait method gave better estimation of ETo than Penman ETo method at all the weather stations. Contribution/Originality:The main objective of this research is to compare the performance of Penman and Thornwait ETo methods against standard PM ETo method under semi-arid climatic conditions of Lahore, Faisalabad and Peshawar, Pakistan.

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Section: Resultssupporting

confidence: 63%

Penman and Thornwait Equations for Estimating Reference Evapotranspiration Under Semi-Arid Environment

Hafeez

Bakhsh

Basit

et al. 2020

Current Research in Agricultural Sciences

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“…et al 1998). There are also many methods for the estimation of potential evapotranspiration (E pot ), for instance, temperature as well as both temperature and terrestrial radiation-based methods (McMahon, T.A. et al 2013;Lang, D. et al 2017;Musyimi, P.K.…”

Section: Methodsmentioning

confidence: 99%

“…The quality-assured database was arranged in Excel tables. After the data set was cleaned, step by step analysis of ET 0 (FAO 56 methodology, Zotarelli, L. et al 2010;Lakatos, M. et al 2020), calculated evapotranspiration using soil parameters ET and extended with maize coefficient, ET Kc was undertaken using own Visual Basic Macro programmes developed in MS Excel.…”

Section: Different Climatic Regions Of Selected Countiesmentioning

confidence: 99%

Palmer-type soil modelling for evapotranspiration in different climatic regions of Kenya

Musyimi¹,

Székely²,

Garg³

et al. 2022

HunGeoBull

Self Cite

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Reference evapotranspiration (ET0) and real evapotranspiration (ET) are vital components in hydrological processes and climate-related studies. Understanding their variability in estimation is equally crucial for micro-meteorology and agricultural planning processes. The primary goal of this study was to analyze and compare estimates of (ET0) and (ET) from two different climatic regions of Kenya using long-term quality controlled synoptic station datasets from 2000 to 2009 with 3-hour time resolution. One weather station (Voi, 63793) was sought from lowlands with an elevation of 579 m and characterized by tropical savannah climate while the other (Kitale, 63661) was sought from Kenya highlands with humid conditions and elevation of 1850 m above sea level. Reference evapotranspiration was calculated based on the FAO 56 standard methodology of a daily basis. One dimension Palmer-type soil model was used for estimating of real evapotranspiration using the wilting point, field capacity, and soil saturation point for each station at 1 m deep soil layer. The ratio of real and reference evapotranspiration dependent on the soil moisture stress linearly. Calculations of estimated evapotranspiration were made on daily and monthly basis. Applications of the site-specific crop coefficients (KC) were also used. The result indicated that the differences among daily and monthly scale calculations of evapotranspiration (ET) were small without and with an application of crop coefficients (ETKc). This was due to high temperatures, global radiation, and also high soil moisture stress due to inadequate precipitation experienced in the tropics where Kenya lies. Results from Voi showed that mean monthly ET0 ranged from 148.3±11.6 mm in November to 175.3±10.8 mm in March while ET was from 8.0±4.5 mm in September to 105.8±50.3 mm in January. From Kitale, ET0 ranged from 121.5±8.5 mm/month in June to 157.1±8.5 mm/month in March while ET ranged from 41.7±32.6 mm/month in March to 126.6±12.2 mm/month in September. This was due to variability in temperature and precipitation between the two climatic regions. The study concludes that ET0 and calculated evapotranspiration variability among the years on a monthly scale is slightly higher in arid and semi-arid climate regions than in humid regions. The study is important in strategizing viable means to enhance optimal crop water use and reduce ET losses estimates for optimal agricultural yields and production maximization in Kenya.

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“…The PET estimated using the Turc method and the Makkink method were compared with the Penman method for the daily, monthly and annual PET time series. The Penman method has been selected as the reference model for comparison since it is considered as the most physical and reliable method in the verification of other PET methods (Lang et al 2017;Lakatos et al 2020;McColl 2020). As shown in Tables 2-4, the Turc method achieved better statistical performances as compared to the Makkink method for all the stations and the time series studied.…”

Section: Estimation Of Petmentioning

confidence: 99%

Evaluation of temporal variability and stationarity of potential evapotranspiration in Peninsular Malaysia

Hue

Huang

et al. 2021

Water Supply

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Potential Evapotranspiration (PET) functions as an indicator to estimate the amount of water loss to atmosphere. Over the years, global climate change eventually led to the change of PET capacity and this had affected the agricultural sector and water resource management. The objective of this study was to determine the best PET estimation method as well as to carry out the trend analysis and stationarity test of PET in Peninsular Malaysia. The Mann-Kendall (MK) test and Sen's Slope estimator were applied for the trend analysis while the Augmented Dickey-Fuller (ADF) test and Kwiatkowski–Phillips–Schmidt–Shin (KPSS) test were applied for the stationarity test. The findings showed that Pulau Langkawi and Kuantan stations exhibited increasing trend while Bayan Lepas station exhibited decreasing trend for the daily, monthly, and annual PET time series. The daily, monthly, and annual PET time series at Bayan Lepas, Ipoh, Subang and Muadzam Shah stations were found to be stationary. Overall, the PET trend was found to be higher at the coastal regions and stationary at the mountainous region.

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Computation of daily Penman–Monteith reference evapotranspiration in the Carpathian Region and comparison with Thornthwaite estimates

Cited by 17 publications

References 31 publications

Penman and Thornwait Equations for Estimating Reference Evapotranspiration Under Semi-Arid Environment

Penman and Thornwait Equations for Estimating Reference Evapotranspiration Under Semi-Arid Environment

Palmer-type soil modelling for evapotranspiration in different climatic regions of Kenya

Evaluation of temporal variability and stationarity of potential evapotranspiration in Peninsular Malaysia

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