Results 91 to 100 of about 767,107 (236)
Non‐Stationary Probabilistic Tsunami Hazard Assessments Compounding Tides and Sea Level Rise
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
Biodiversity is threatened by human activities, with extinction debt accumulating rapidly. Many of these activities change the connectivity of populations, fragmenting existing population systems or bringing previously isolated populations or species into contact.
Zhiqin Long +7 more
wiley +1 more source
Assessing the impact of model biases on subseasonal forecast skill
Relaxation experiments where the nudging was performed towards bias‐corrected integrations of the same model display significantly improved skill at weeks 3 and 4, particularly in the northern extratropics. This indicates that there is a large potential for improving dynamical subseasonal forecasting skill by improved treatment of model biases.
Frédéric Vitart, Magdalena Balmaseda
wiley +1 more source
Computing continuous-time growth models with boundary conditions via wavelets [PDF]
This paper presents an algorithm for approximating the solution of deterministic/stochastic continuous-time growth models based on the Euler's equation and the transversality conditions.
Esteban-Bravo, Mercedes +1 more
core +2 more sources
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
Stochastic Bias Correction and Uncertainty Estimation of Satellite-Retrieved Soil Moisture Products
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
Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review
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
An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field
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
doaj +1 more source
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li +5 more
wiley +1 more source
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

