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Hanna Zofia Kolodziejczyk
Pág. 7 - 16
Financial market participants are influenced by the news reaching them from all manner of sources, including the country?s central bank. In this paper we model daily returns of WIG20 index with respect to announcements made by the National Bank of Poland...
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Fei Wang, Zongmin Wang, Haibo Yang, Yong Zhao, Zezhong Zhang, Zhenhong Li and Zafar Hussain
Drought is a complex natural phenomenon that occurs throughout the world. Analyzing and grasping the occurrence and development of drought events is of great practical significance for preventing drought disasters. In this study, the Standardized Precipi...
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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...
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Agung Masyad Fawzi,Sunarti Sunarti
Pág. 65 - 80
Abstract: This study investigated the influence of financial ratios on company?s performance in Malaysia and Indonesia F&B industry period 2011 ? 2018. The samples generated 37 F&B companies and 12 F&B companies listed on Bursa Malaysia ...
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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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Mariam Er-Rondi, Magali Troin, Sylvain Coly, Emmanuel Buisson, Laurent Serlet and Nourddine Azzaoui
Agro-climatic indicators (AgcIs) provide a suitable tool to evaluate the implications of climate change on agriculture by simplifying plant?climate interactions. However, developing reliable AgcIs requires high-quality historical climate datasets. Conseq...
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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...
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Feifei He, Qinjuan Wan, Yongqiang Wang, Jiang Wu, Xiaoqi Zhang and Yu Feng
Accurately predicting hydrological runoff is crucial for water resource allocation and power station scheduling. However, there is no perfect model that can accurately predict future runoff. In this paper, a daily runoff prediction method with a seasonal...
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Shengbo Hu, Zhijun Li, Peng Lu, Qingkai Wang, Jie Wei and Qiuming Zhao
In their natural state, snow crystals are influenced by the atmosphere during formation and multiple factors after landing, resulting in varying particle sizes and unstable particle morphologies that are challenging to quantify. The current research main...
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Onesmo Zakaria Sigalla, Sekela Twisa, Nyemo Amos Chilagane, Mohamed Fadhili Mwabumba, Juma Rajabu Selemani and Patrick Valimba
Global croplands, pastures, and human settlements have expanded in recent decades. This is accompanied by large increases in energy, water, and fertilizer consumption, along with considerable losses of biodiversity. In sub-Saharan Africa, policies are im...
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