Article
Environmental Sciences
D. C. D. Melo, J. A. A. Anache, V. P. Borges, D. G. Miralles, B. Martens, J. B. Fisher, R. L. B. Nobrega, A. Moreno, O. M. R. Cabral, T. R. Rodrigues, B. Bezerra, C. M. S. Silva, A. A. Meira Neto, M. S. B. Moura, T. Marques, S. Campos, J. S. Nogueira, R. Rosolem, R. M. S. Souza, A. C. D. Antonino, D. Holl, M. Galleguillos, J. F. Perez-Quezada, A. Verhoef, L. Kutzbach, J. R. S. Lima, E. S. Souza, M. Gassman, C. F. Perez, N. Tonti, G. Posse, D. Rains, P. T. S. Oliveira, E. Wendland
Summary: Multiple remote sensing-based evapotranspiration models were evaluated across various biomes, climate zones, and land uses in South America. All four models satisfactorily predicted evapotranspiration, with GLEAM and PT-JPL showing consistently higher correlations, and PM-MOD and PM-VI presenting better responses in terms of percent bias. Model skill seemed to be related to biome and climate, with wet to moderately wet environments yielding the best results. Further adaptation of individual algorithms may be necessary to account for the intrinsic characteristics of climates and ecosystems in South America.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Qiong Su, Vijay P. Singh
Summary: The Priestley-Taylor (PT) method is commonly used to calculate reference evapotranspiration (ETo) in hydrologic and crop models, but its default coefficient may not be reliable across different climatic regions. This study derived an analytical expression of PT coefficient (PTa) using the Penman-Monteith method, which improved the accuracy of ETo estimation. The global monthly PTa dataset is open-source and can be incorporated into models. The study also found that radiative component was the main driver of global ETo changes, and the impact of available energy and wind speed on ETo variations intensified in a warming climate.
WATER RESOURCES RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Stephany Callanaupa Gutierrez, Hans Segura Cajachagua, Miguel Saavedra Huanca, Jose Flores Rojas, Yamina Silva Vidal, Joan Cuxart
Summary: This study provides insights into the mechanisms of evapotranspiration in the high central Peruvian Andes, revealing its modulation by water- and energy-limited states, as well as its correlations with meteorological variables and soil moisture. The variation of evapotranspiration with different seasons and meteorological conditions highlights the need for considering soil moisture in estimating evapotranspiration in this region.
ATMOSPHERIC RESEARCH
(2021)
Article
Agronomy
Zheli Ding, Esmat F. Ali, Ahmed M. Elmahdy, Khaled E. Ragab, Mahmoud F. Seleiman, Ahmed M. S. Kheir
Summary: Limited water resources and climate change negatively impact food and water security in arid and semi-arid regions. Management of irrigation and compost can help address these challenges. Crop models are powerful tools for predicting grain yield and water productivity.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Sciences
Cheng- Hsieh, Cheng-Jiun Chiu, I-Hang Huang, Gerard Kiely
Summary: This study investigated the performance of the non-parametric method in estimating evapotranspiration, finding that it was successful for grassland and peat bog but performed poorly in forest areas. Penman-Monteith and Priestley-Taylor equations were able to predict water vapor and sensible heat fluxes well when canopy resistance and the P-T constant of the ecosystem were given a priori.
Article
Agronomy
Evandro H. Figueiredo Moura da Silva, Gerrit Hoogenboom, Kenneth J. Boote, Alexandre Ortega Gonsalves, Fabio R. Marin
Summary: This study evaluated the CSM-CROPGRO-Soybean model for simulating evapotranspiration and crop water productivity in a tropical environment. The model provided good predictions, but with a systematic underprediction.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Geosciences, Multidisciplinary
Vassilis Aschonitis, Dimos Touloumidis, Marie-Claire ten Veldhuis, Miriam Coenders-Gerrits
Summary: Thornthwaite's formula is widely considered as the best method for large-scale applications of potential evapotranspiration and aridity assessment. In this study, a global database of local correction coefficients for Thornthwaite's formula was developed to improve its accuracy by integrating local climatic factors. The validation using data from multiple stations showed that the corrected formula significantly improved the estimation of evapotranspiration and aridity indices in non-humid areas.
EARTH SYSTEM SCIENCE DATA
(2022)
Article
Ecology
Derek J. N. Young, Sean M. A. Jeronimo, Derek J. Churchill, Van R. Kane, Andrew M. Latimer
Summary: Assumptions about vegetation physiology can significantly impact the relative spatial variation in modelled water balance values and ecological inferences derived from analyses. Water balance variables are less sensitive to assumptions in moist environments, but highly sensitive in drier environments. Despite their sensitivity to assumptions, water balance variables still have advantages in incorporating interactions between water and energy.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2021)
Article
Engineering, Civil
Zhaofei Liu
Summary: This study comprehensively evaluated the accuracy of 26 methods for simulating daily water surface evaporation using measurements from 14 boreal flux sites. Most methods accurately simulated daily evaporation at most sites, with a KGE >0.60. Combined methods with simultaneous calibration of energy and aerodynamic terms and double-parameter aerodynamic methods showed the best performance, with a median KGE ranging from 0.72 to 0.76 for the evaluated sites. Simulation accuracy varied significantly among sites.
JOURNAL OF HYDROLOGY
(2023)
Article
Agronomy
Chuan Zhang, Lanlan Li, Haofang Yan, Mingxiong Ou, Muhammad Akhlaq, Wencheng Zhang, Song Huang
Summary: In this study, different models were applied to accurately determine evapotranspiration (ETc) of tea trees, and the reliability of the models was validated. The Priestley-Taylor model performed the best, while the Penman-Monteith model had a significant underestimation error. Correct estimation of evapotranspiration is crucial for improving agricultural water management efficiency in tea fields.
IRRIGATION AND DRAINAGE
(2022)
Article
Multidisciplinary Sciences
Nels Bjarke, Joseph Barsugli, Ben Livneh
Summary: Assessing changes in future aridity requires an understanding of variations in the atmospheric demand for water. Here we describe the development and validation of a dataset of global monthly estimates of ET0, ETP, and vapor pressure deficit from CMIP6 projections. Overall, evaporative demand is projected to increase across all emissions scenarios, with the largest increases over polar regions and a larger contribution from advection in regions with higher baseline ET0.
Review
Agronomy
Luis S. Pereira, Paula Paredes, Dalila Espirito-Santo, Maher Salman
Summary: Natural and planted grasslands are crucial for agriculture, as they provide various ecosystem services and contribute significantly to water use in rainfed and irrigated fields. Understanding their water use and vegetation requirements across different climates is important. The FAO method of computing crop evapotranspiration has been adopted to study grasslands. Field observations, remote sensing, and other methods have been used to derive actual evapotranspiration values, which have been used to define standard and indicative crop coefficients for effective water management and irrigation scheduling.
IRRIGATION SCIENCE
(2023)
Article
Engineering, Civil
Mingzhu Cao, Weiguang Wang, Wanqiu Xing, Jia Wei, Xintao Chen, Jinxing Li, Quanxi Shao
Summary: This study examined the uncertainties in remote sensing-based ET estimation by using three different models and three meteorological reanalysis products, resulting in nine calculation schemes. The results showed significant differences in the magnitude and temporal variation of ET estimates, with uncertainties potentially caused by energy balance closure issues and spatial scale mismatch.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Qingyun Li, Wenjie Liu, Lu Zheng, Shengyuan Liu, Ang Zhang, Peng Wang, Yan Jin, Qian Liu, Bo Song
Summary: A multi-technology study was conducted on a tropical seasonal forest in Nonggang Karst of Guangxi to estimate the evapotranspiration. Three different methods were used and the results varied. By comparing with reference evapotranspiration and potential evapotranspiration, the Penman-Monteith method was found to be relatively reasonable.
Article
Environmental Sciences
Michele Bottazzi, Marialaura Bancheri, Mirka Mobilia, Giacomo Bertoldi, Antonia Longobardi, Riccardo Rigon
Summary: Evapotranspiration (ET) is a key variable in the hydrological cycle and its accurate prediction is crucial for water resource management. Various methods have been developed for indirect estimation of ET, with continuous efforts to seek more precise modeling approaches.
