Results 61 to 70 of about 691 (194)
Non‐Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise
Earth's Future, 2022 Tides are often the largest source of sea levels fluctuations. Two new probabilistic tsunami hazard assessments (PTHA) methods are proposed to combine the tidal phase uncertainty at the moment of tsunami occurrence with other sources of uncertainty.
Ignacio Sepúlveda +4 more
doaj +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette +3 more
wiley +1 more source
Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review
Systems Engineering, EarlyView.ABSTRACT The growing complexity of space engineering is driving the demand to embrace the adoption of Model‐Based Systems Engineering (MBSE). Although the MBSE is well‐practiced in the space industry, the level of effort and need required to obtain the benefits of MBSE vastly differ across enterprises; this disparity presents a significant challenge to
Rehobot Bekele Buruso +4 more
wiley +1 more source
Natural Resources Forum, EarlyView.ABSTRACT The MENA region faces a critical challenge: balancing economic growth spurred by foreign direct investment (FDI) with environmental sustainability. While FDI can bring technological advancements and capital, concerns exist about its potential to exacerbate environmental degradation, particularly carbon emissions.
Brahim Bergougui, Syed Mansoob Murshed
wiley +1 more source
Stochastic Bias Correction and Uncertainty Estimation of Satellite-Retrieved Soil Moisture Products
Remote Sensing, 2017 To apply satellite-retrieved soil moisture to a short-range weather prediction, we review a stochastic approach for reducing foot print scale biases and estimating its uncertainties. First, we discuss a challenge of representativeness errors.
Ju Hyoung Lee, Chuanfeng Zhao, Yann Kerr
doaj +1 more source
The Scandinavian Journal of Economics, EarlyView.Abstract We study how acquisition‐related foreign direct investment during economic crises affects R&D investments and the direction of innovation of target firms, compared with acquisitions made during periods of strong economic growth. Using a panel of Spanish firms, we find that foreign multinationals cherry‐pick the best domestic firms ...
María García‐Vega +2 more
wiley +1 more source
An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field
International Journal of Antennas and Propagation, 2016 The paper deals with the deterministic-stochastic model of the human body represented as cylindrical antenna illuminated by a low frequency electric field.
Anna Šušnjara, Dragan Poljak
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International Journal of Robust and Nonlinear Control, Volume 36, Issue 5, Page 2542-2556, 25 March 2026.ABSTRACT This article addresses the problem of quantifying the uncertainty in planning aircraft ground movement operations using towbarless robotic tractors taking into account the inherent uncertainties of the problem, specifically, the uncertainties in the weight of the aircraft and in the rolling resistance of the wheels of the main landing gear ...
Almudena Buelta +2 more
wiley +1 more source
Sentinel‐5p Reveals Unexplained Large Wildfire Carbon Emissions in the Amazon in 2024
Geophysical Research Letters, Volume 53, Issue 5, 16 March 2026.Abstract In 2024, the Amazon region experienced severe wildfires driven by exceptional drought conditions. Advanced fire emission models estimated Amazon carbon monoxide (CO) emissions between 28 and 62 Tg during the main August‐September Amazon fire season. The majority of the 2024 CO emissions came from (understorey) forest fires, unlike the previous
A. T. J. de Laat +5 more
wiley +1 more source
A spectral collocation method for solving stochastic fractional integro-differential equation [PDF]
Mathematics and Computational SciencesIn this paper, a numerical scheme based on shifted Vieta-Lucas polynomials is utilised to solve mentioned equation. The main characteristic of the presented method is to approximate Brownian motion with help of the Gauss-Legendre quadrature, which ...
Mahsa Zaboli, Haleh Tajadodi
doaj +1 more source