Results 61 to 70 of about 50,517 (316)
The Black Sea near-past wave climate and its variability: a hindcast study
This study analyzed the past wave climate of the Black Sea region for the period from 1988 to 2021. The wave field has been simulated using the state-of-the-art, third-generation wave model WAVEWATCH III forced by the ECMWF reanalysis ERA5 winds, with ...
Salvatore Causio +7 more
doaj +1 more source
The characteristics of tides and their effects on the general circulation of the Mediterranean Sea [PDF]
The effects of tides on the Mediterranean Sea's general circulation, with a particular focus on the horizontal and vertical currents, are investigated using twin simulations with and without tides. Amplitudes of tides in the region are typically low, but
B. McDonagh +4 more
doaj +1 more source
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa +4 more
wiley +1 more source
Abstract Objective To examine the performance of single‐item global ratings (SIGRs) and multi‐item scales (MISs) in epilepsy research, and assess the influence of diverse constructs, study designs, and statistical methods. Methods Systematic scoping review following Preferred Reporting Items for Systematic reviews and Meta‐Analyses (PRISMA) and Joanna ...
Ann Subota +2 more
wiley +1 more source
VISIR-2: ship weather routing in Python [PDF]
Ship weather routing, which involves suggesting low-emission routes, holds potential for contributing to the decarbonisation of maritime transport. However, including because of a lack of readily deployable open-source and open-language computational ...
G. Mannarini +4 more
doaj +1 more source
A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei +2 more
wiley +1 more source
The “Future_Global_AI_PET Database” provides high-resolution (30 arc-seconds) average annual and monthly global estimates of potential evapotranspiration (PET) and aridity index (AI) for 22 CMIP6 Earth System Models for two future (2021–2041; 2041–2060 ...
Jianchu Xu +3 more
doaj +1 more source
Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem +3 more
wiley +1 more source
The “Future_Global_AI_PET Database” provides high-resolution (30 arc-seconds) average annual and monthly global estimates of potential evapotranspiration (PET) and aridity index (AI) for 22 CMIP6 Earth System Models for two future (2021–2041; 2041–2060 ...
Jianchu Xu +3 more
doaj +1 more source

