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Yuiko Ichikawa and Masaru Inatsu
This study proposes an alternative method to estimate the potential predictability without assuming the perfect model. A theoretical consideration relates a maximum possible value of the initial-value error to the covariance between analysis and bias-cor...
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Danielle Preziuso, Gabriel García-Medina, Rebecca O?Neil, Zhaoqing Yang and Taiping Wang
Although tidal energy conversion technologies are not yet commercially available or cost-competitive with other renewable energy technologies like wind turbines and solar panels, tides are a highly predictable resource. Tidal energy?s predictability indi...
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Isabel C. Metz, Joost Ellerbroek, Thorsten Mühlhausen, Dirk Kügler and Jacco M. Hoekstra
Bird strike prevention in civil aviation has traditionally focused on the airport perimeter. Since the risk of especially damaging bird strikes outside the airport boundaries is rising, this paper investigates the safety potential of operational bird str...
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Bo-Wen Shen
Recent advances in computational and global modeling technology have provided the potential to improve weather predictions at extended-range scales. In earlier studies by the author and his coauthors, realistic 30-day simulations of multiple African east...
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Carel J. van Aardt,Bernadene de Clercq,Jacolize Meiring
AbstractOrientation: The levels of happiness in South Africa have deteriorated as witnessed by recent increases in public protests.Research purpose: Based on a newly developed conceptual framework, the linear path of influence of a variety of d...
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Zaenal Akbar, Hani Febri Mustika, Dwi Setyo Rini, Lindung Parningotan Manik, Ariani Indrawati, Agusdin Dharma Fefirenta and Tutie Djarwaningsih
Capsicum is a genus of flowering plants in the Solanaceae family in which the members are well known to have a high economic value. The Capsicum fruits, which are popularly known as peppers or chili, have been widely used by people worldwide. It serves a...
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Giuseppe Giunta, Alessandro Ceppi and Raffaele Salerno
Earth system predictions, from sub-seasonal to seasonal timescales, remain a challenging task, and the representation of predictability sources on seasonal timescales is a complex work. Nonetheless, advances in technology and science have been making con...
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Panayiotis Dimitriadis, Aristoteles Tegos and Demetris Koutsoyiannis
The stochastic structures of potential evaporation and evapotranspiration (PEV and PET or ETo) are analyzed using the ERA5 hourly reanalysis data and the Penman?Monteith model applied to the well-known CIMIS network. The latter includes high-quality grou...
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Matteo Picozzi and Antonio Giovanni Iaccarino
Earthquakes prediction is considered the holy grail of seismology. After almost a century of efforts without convincing results, the recent raise of machine learning (ML) methods in conjunction with the deployment of dense seismic networks has boosted ne...
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Pradosh Simlai
Pág. 291 - 315
In this paper we provide a new type of risk characterization of the predictability of two widely known abnormal patterns in average stock returns: momentum and reversal. The purpose is to illustrate the relative importance of common risk factors and endo...
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Alexandra N. Ramos Valle, Enrique N. Curchitser, Cindy L. Bruyere and Kathryn R. Fossell
Storm surge events have the potential to cause devastating damage to coastal communities. The magnitude of their impacts highlights the need for increased accuracy and real-time forecasting and predictability of storm surge. In this study, we assess two ...
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ERNESTO C. KUNG,JONQ-GONG CHERN,JOEL SUSSKIND
Large-scale modes of variations in sea surface temperatures (SSTs) and the tropospheric circulation are examined with major principal components utilizing-monthly mean fields of the global SSTs and Northern Hemisphere geo-potential height (Z) at 700,...
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