|
|
|
|
|
Youcun Liu, Yan Liu, Ming Chen, David Labat, Yongtao Li, Xiaohui Bian and Qianqian Ding
This paper has adopted related meteorological data collected by 69 meteorological stations between 1951 and 2013 to analyze changes and drivers of reference evapotranspiration (ET0) in the hilly regions located in southern China. Results show that: (1) E...
ver más
|
|
|
|
|
|
|
|
|
|
|
Basma Latrech, Taoufik Hermassi, Samir Yacoubi, Adel Slatni, Fathia Jarray, Laurent Pouget and Mohamed Ali Ben Abdallah
Systematic biases in general circulation models (GCM) and regional climate models (RCM) impede their direct use in climate change impact research. Hence, the bias correction of GCM-RCMs outputs is a primary step in such studies. This study compares the p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Antoni Sánchez-Ortiz, Miriam Lampreave and Maria Assumpta Mateos
Climate variability in Mediterranean viticultural areas, primarily attributed to climate change, will significantly impact water requirements, consequently leading to changes in irrigation management. The primary aim of this study was to assess the respo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shih-Lun Fang, Yi-Shan Lin, Sheng-Chih Chang, Yi-Lung Chang, Bing-Yun Tsai and Bo-Jein Kuo
The reference evapotranspiration (ET0) information is crucial for irrigation planning and water resource management. While the Penman-Monteith (PM) equation is widely recognized for ET0 calculation, its reliance on numerous meteorological parameters cons...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hamza Salahudin, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Muhammad Hammad, Ali Raza, Alamgir Akhtar and Muhammad Usman Ali
To maximize crop production, reference evapotranspiration (ET0) measurement is crucial for managing water resources and planning crop water needs. The FAO-PM56 method is recommended globally for estimating ET0 and evaluating alternative methods due to it...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chouaib El Hachimi, Salwa Belaqziz, Saïd Khabba, Badreddine Sebbar, Driss Dhiba and Abdelghani Chehbouni
Smart management of weather data is an essential step toward implementing sustainability and precision in agriculture. It represents an important input for numerous tasks, such as crop growth, development, yield, and irrigation scheduling, to name a few....
ver más
|
|
|
|
|
|
|
|
|
|
|
Pietros André Balbino dos Santos, Felipe Schwerz, Luiz Gonsaga de Carvalho, Victor Buono da Silva Baptista, Diego Bedin Marin, Gabriel Araújo e Silva Ferraz, Giuseppe Rossi, Leonardo Conti and Gianluca Bambi
Reference evapotranspiration (ET0) is one important agrometeorological parameter for hydrological studies and climate risk zoning. ET0 calculation by the FAO Penman?Monteith method requires several input data. However, the availability of climate data ha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Na Li, Tangzhe Nie, Yi Tang, Dehao Lu, Tianyi Wang, Zhongxue Zhang, Peng Chen, Tiecheng Li, Linghui Meng, Yang Jiao and Kaiwen Cheng
Understanding future changes in water supply and requirement under climate change is of great significance for long-term water resource management and agricultural planning. In this study, daily minimum temperature (Tmin), maximum temperature (Tmax), sol...
ver más
|
|
|
|
|
|
|
|
|
|
|
Meng Li, Ronghao Chu, Xiuzhu Sha, Abu Reza Md. Towfiqul Islam, Yuelin Jiang and Shuanghe Shen
Reference evapotranspiration (ET0) is essential for agricultural production and crop water management. The recent climate change affecting the spatiotemporal variation of ET0 in eastern China continues to still be less understood. For this purpose, the l...
ver más
|
|
|
|
|
|