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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...
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Charalampos Skoulikaris
Large-scale hydrological modeling is an emerging approach in river hydrology, especially in regions with limited available data. This research focuses on evaluating the performance of two well-known large-scale hydrological models, namely E-HYPE and LISF...
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Gerardo Colín-García, Enrique Palacios-Vélez, Adolfo López-Pérez, Martín Alejandro Bolaños-González, Héctor Flores-Magdaleno, Roberto Ascencio-Hernández and Enrique Inoscencio Canales-Islas
Assessing the impact of climate change is essential for developing water resource management plans, especially in areas facing severe issues regarding ecosystem service degradation. This study assessed the effects of climate change on the hydrological ba...
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Jian Liu, Shihui Yu, Xuemei Liu, Guohang Lu, Zhenbo Xin and Jin Yuan
In-field in situ droplet deposition digitization is beneficial for obtaining feedback on spraying performance and precise spray control, the cost-effectiveness of the measurement system is crucial to its scalable application. However, the limitations of ...
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Jingbei Sun, Huimin Li, Wenming Lin and Yijun He
Spaceborne synthetic aperture radar (SAR) has been proven to be a useful technique for observing the sea surface wind and current over the open ocean given its all-weather data-gathering capability and high spatial resolution. In addition to the commonly...
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Yifei Xu, Te Li, Min Xu, Ling Tan and Shuanghe Shen
Climate change exerts significant impacts on regional agricultural production. This study assesses the implications of climate change on winter wheat yields in the Huang-Huai-Hai Plain (3H Plain), utilizing bias-corrected climate projections from the Cou...
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Elham Albaroudi, Taha Mansouri and Ali Alameer
The study comprehensively reviews artificial intelligence (AI) techniques for addressing algorithmic bias in job hiring. More businesses are using AI in curriculum vitae (CV) screening. While the move improves efficiency in the recruitment process, it is...
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Changxiang Yan and Jiang Zhu
The mode bias is present and time-dependent due to imperfect configurations. Data assimilation is the process by which observations are used to correct the model forecast, and is affected by the bias. How to reduce the bias is an important issue. This pa...
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Mercedes Andrade-Velázquez and Martín José Montero-Martínez
This study aimed to determine the mean temperature trends in the south-southeast region of Mexico during the historical period of 1980?2014, as well as during the future periods of 2021?2040, 2041?2060, and 2081?2100, as recommended by the IPCC. Addition...
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Swarupa Paudel, Neekita Joshi and Ajay Kalra
Climate change is considered one of the biggest challenges around the globe as it has been causing alterations in hydrological extremes. Climate change and variability have an impact on future streamflow conditions, water quality, and ecological balance,...
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