Inicio  /  Atmósfera  /  Vol: 7 Núm: 4 Par: 0 (1994)  /  Artículo
ARTÍCULO
TITULO

A detailed point by point rebuttal of Skiba's (1994)

DAN G. CACUCI    
MICHAEL E. SCHLESINGER    

Resumen

Recently, Atmosfera published a paper (Cacuci and Schlesinger, 1994), in wich we pointed out several inconsistencies, as well as omissions, in a paper by Marchuk and Skiba (1992).

 Artículos similares

       
 
Pavel V. Matrenin, Valeriy V. Gamaley, Alexandra I. Khalyasmaa and Alina I. Stepanova    
Forecasting the generation of solar power plants (SPPs) requires taking into account meteorological parameters that influence the difference between the solar irradiance at the top of the atmosphere calculated with high accuracy and the solar irradiance ... ver más
Revista: Algorithms

 
Ionut Dragos Moldovan, Abdalla Almukashfi and António Gomes Correia    
The small strain shear modulus is an important characteristic of geomaterials that can be measured experimentally using piezoelectric sensors (bender elements). However, most conventional signal interpretation techniques are based on the visual observati... ver más
Revista: Algorithms

 
Jianxiu Qin and Dehua Zhu    
Two-dimensional oblique detonation waves (ODWs) induced by finite wedges in a stoichiometric hydrogen?air mixture have been investigated numerically based on reactive Euler equations with a detailed chemical reaction model. The main zone affected by the ... ver más
Revista: Aerospace

 
Md Iltaf Zafar, Shruti Bharadwaj, Rakesh Dubey, Saurabh Kr Tiwary and Susham Biswas    
The accurate prediction of noise levels at outdoor locations requires detailed data of the noise sources and terrain parameters and an efficient model for prediction. However, the possibility of predicting noise with reasonable accuracy using less input ... ver más
Revista: Acoustics

 
Mohammad Mustafa Taye    
In recent years, deep learning (DL) has been the most popular computational approach in the field of machine learning (ML), achieving exceptional results on a variety of complex cognitive tasks, matching or even surpassing human performance. Deep learnin... ver más
Revista: Computers