Calibration and evaluation of six popular evapotranspiration formula based on the Penman-Monteith model for continental climate in Turkey

Gharehbaghi, Amin; Kaya, Birol

doi:10.1016/j.pce.2022.103190

Cited by 6 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Vicente-Serrano et al ( 2010) enhanced the SPI drought index by incorporating the potential evapotranspiration element, thereby developing the SPEI, which is adept at providing a precise representation of meteorological drought conditions [19]. In the computation of the SPEI, the prevailing methodologies for estimating potential evapotranspiration are the Thornthwaite and Penman-Monteith equations [41][42][43][44][45][46][47][48][49]. While the Thornthwaite approach, predominantly based on temperature, is extensively utilized in the existing literature, it offers a limited scope.…”

Section: Methodology 231 Standardized Precipitation Evapotranspiratio...mentioning

confidence: 99%

Multiscale Spatiotemporal Dynamics of Drought within the Yellow River Basin (YRB): An Examination of Regional Variability and Trends

Jin,

Chen,

Liu

2024

Water

View full text Add to dashboard Cite

Drought, as a recurring extreme climatic event, inflicts diverse impacts on ecological systems, agricultural productivity, water resources, and socio-economic progress globally. Discerning the drought patterns within the evolving environmental landscape of the Yellow River Basin (YRB) is imperative for enhancing regional drought management and fostering ecological conservation alongside high-quality development. This study utilizes meteorological drought indices, the Standardized Precipitation Evapotranspiration Index (SPEI) and the self-calibrating Palmer Drought Severity Index (scPDSI), for a detailed spatiotemporal analysis of drought conditions. It examines the effectiveness of these indices in the basin’s drought monitoring, offering a comprehensive insight into the area’s drought spatiotemporal dynamics. The findings demonstrate the following: (1) SPEI values exhibit distinct fluctuation patterns at varying temporal scales, with more pronounced fluctuations at shorter scales. Drought years identified via the 12-month SPEI time scale include 1965, 1966, 1969, 1972, 1986, 1997, 1999, 2001, and 2006. (2) A modified Mann–Kendall (MMK) trend test analysis of the scPDSI time series reveals a worrying trend of intensifying drought conditions within the basin. (3) Correlation analysis between SPEI and scPDSI across different time scales yields correlation coefficients of 0.35, 0.54, 0.69, 0.76, and 0.62, highlighting the most substantial correlation at an annual scale. Spatial correlation analysis conducted between SPEI and scPDSI across various scales reveals that, within diverse temporal ranges, the correlation peaks at a 12-month time scale, with subsequent prominence observed at 6 and 24 months. This observed pattern accentuates the applicability of scPDSI in the monitoring of medium- to long-term drought phenomena.

show abstract

Section: Methodology 231 Standardized Precipitation Evapotranspiratio...mentioning

confidence: 99%

Multiscale Spatiotemporal Dynamics of Drought within the Yellow River Basin (YRB): An Examination of Regional Variability and Trends

Jin,

Chen,

Liu

2024

Water

View full text Add to dashboard Cite

show abstract

“…Among radiation-based methods, for warm climates, the Jensen-Haise method has a very good performance rating for ET O calculation (Shirmohammadi-Aliakbarkhani and Saberali 2020 ; Gharehbaghi and Kaya 2022 ). The Jensen-Haise was initially calibrated under semi-arid conditions using solar radiation and air temperature (Jensen and Haise 1963 ).…”

Section: Introductionmentioning

confidence: 99%

Calibration and validation of solar radiation-based equations to estimate crop evapotranspiration in a semi-arid climate

Nikolaou,

Neocleous,

Manes

et al. 2023

Int J Biometeorol

View full text Add to dashboard Cite

The Abtew and Jensen-Haise solar radiation-based equations were used to estimate evapotranspiration, considering the limited climatic data in many locations. Both equations were proven to successfully predict the potential evapotranspiration (ETO) compared with the standard Penman–Monteith (PM) method in two Mediterranean countries. Calibration of the constant coefficient k of the Abtew equation showed substantial differences compared to recommended values (1.22 vs. 0.53), with the highest values observed during September (1.46). Validation of ETO measurements using calibrated Abtew equation against the PM method indicated a high correlation coefficient (r2 = 0.97, RMSE = 0.61). Further, evapotranspiration requirements, using the calibrated empirical equation, were calculated for olives (449 mm) and citrus (807 mm) showing a good agreement with recommended values for dry climate regions. Therefore, the tested equations could be safely used to predict frequencies and doses of irrigation in semi-arid climates, considering limited climatic data availability.

show abstract

“…Here, these three optimization algorithms were tested to explore the feasibility of the best solutions they provided in a realistic application for cultivation. Thornthwaite was the chosen potential evapotranspiration model because it has not been used yet as a basis for papaya cultivation, and it has a comparably limited number of factors to consider, unlike other more complex schemes such as the Penman [36] and Penman-Monteith models [14,37]. Given the simplicity of the Thornthwaite potential evapotranspiration model, if not customized to the requirement of a specific crop or fruit-bearing tree, it might negatively affect its photosynthesis and nutrient absorption, which is relevant to its growth and yield.…”

Section: Introductionmentioning

confidence: 99%

Effects of Atom Search-Optimized Thornthwaite Potential Evapotranspiration on Root and Shoot Systems in Controlled Carica papaya Cultivation

Concepcion,

Baun,

Janairo

et al. 2023

Agronomy

View full text Add to dashboard Cite

Potential evapotranspiration (PET) indicates if a cultivation area is suitable for planting. Currently, site-specific PET models that are based on large geographic regions are vulnerable to inaccurate predictions as a result of climate change and sudden changes in the environmental abiotic stressors that affect plant growth. For the aim of promoting the papaya Sinta F1 cultivar, the study optimized the standard Thornthwaite PET model by integrating three advanced physics-based metaheuristics and evolutionary computing, namely atom search (ASO), differential evolution (DE), and multiverse (MVO) optimizers. The PET value was optimized through minimization as a function of air temperature, light intensity, heat index, and extended heat index. As the PET value approaches 0, it indicates that there is more soil-water content that can be absorbed by plants. Based on the four cultivation treatments (uncontrolled, ASO, DE, and MVO) exposed in three replicates within 90 days, the ASO-optimized Thornthwaite PET-treated (ASOTh) papaya plants resulted in the highest chlorophyll a and b concentrations, densest stomatal density, concentrated root and stem xylem and phloem vessels, considerable root and stem length, most formed leaf count, and strongest action potentials coming from stem membrane for both light and dark periods. This proves the applicability of the intelligent process in modifying the Thornthwaite model for plant growth promotion. Also, through the developed ASOTh, the stem length and thickness ratio was improved for mechanical stability to facilitate more branching leaves and potential fruits during the fruiting stage, and the chlorophyll a and b ratio was enhanced, which naturally extended the light energy band for photosynthesis. Overall, the newly developed ASOTh model may be used to grow papaya seedlings year-round anywhere on Earth if there is a control system to regulate the environmental setting inside the growth chamber.

show abstract

Calibration and evaluation of six popular evapotranspiration formula based on the Penman-Monteith model for continental climate in Turkey

Cited by 6 publications

References 25 publications

Multiscale Spatiotemporal Dynamics of Drought within the Yellow River Basin (YRB): An Examination of Regional Variability and Trends

Multiscale Spatiotemporal Dynamics of Drought within the Yellow River Basin (YRB): An Examination of Regional Variability and Trends

Calibration and validation of solar radiation-based equations to estimate crop evapotranspiration in a semi-arid climate

Effects of Atom Search-Optimized Thornthwaite Potential Evapotranspiration on Root and Shoot Systems in Controlled Carica papaya Cultivation

Contact Info

Product

Resources

About