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Chul-Gyum Kim, Jeongwoo Lee, Jeong Eun Lee and Hyeonjun Kim
This study examines the long-term climate predictability in the Seomjin River basin using statistical methods, and explores the effects of incorporating the duration of climate indices as predictors. A multiple linear regression model is employed, utiliz...
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Ming Ze Lee, Fatemeh Mekanik and Amin Talei
El Niño Southern Oscillation is one of the significant phenomena that drives global climate variability, showing a relationship with extreme events. Reliable forecasting of ENSO phases can minimize the risks in many critical areas, including water supply...
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Yuruixian Zhang, Wei Chong Choo, Jen Sim Ho and Cheong Kin Wan
Tourism forecasting has garnered considerable interest. However, integrating tourism forecasting with volatility is significantly less typical. This study investigates the performance of both the single models and their combinations for forecasting the v...
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S. Kokilavani, R. Pangayarselvi, S. P. Ramanathan, Ga. Dheebakaran, N. K. Sathyamoorthy, N. Maragatham, R. Gowtham
Pág. Page:69 - 76Abstract
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Javier Estévez, Juan Antonio Bellido-Jiménez, Xiaodong Liu and Amanda Penélope García-Marín
Accurate forecast of hydrological data such as precipitation is critical in order to provide useful information for water resources management, playing a key role in different sectors. Traditional forecasting methods present many limitations due to the h...
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