Application of random walk model to fit temperature in 46 gamma world cities from 1901 to 1998

Abstract

Very recently, we have applied the random walk model to fit the global temperature anomaly, CRUTEM3. With encouraging results, we apply the random walk model to fit the temperature walk that is the conversion of recorded tem-perature and real recorded temperature in 46 gamma world cities from 1901 to 1998 in this study. The results show that the random walk model can fit both temperature walk and real recorded temperature although the fitted results from other climate models are unavailable for comparison in these 46 cities. Therefore, the random walk model can fit not only the global temperature anomaly, but also the real recorded temperatures in various cities around the world

Structure, Photoluminescence Emissions, and Photocatalytic Activity of Ag2SeO3: A Joint Experimental and Theoretical Investigation

“…The equilibrium morphology of the Ag 2 SeO 3 monoclinic crystal ( P 2 1 / c ) was calculated based on the classic Wulff construction by minimizing the total surface energy ( E surf ) at a fixed volume, providing a simple relationship between the E surf of the plane ( hkl ) and its distance in the normal direction from the center of the crystallite . Eight surfaces with indexes (011), (100), (001), (021), (111), (110), (010), and (101) were used to model the ideal morphology, and by tuning E surf ( hkl ) , the complete map of available morphologies was obtained, which were compared with the experimental morphologies obtained from FE-SEM images.…”

Application of random walk to model temperature in 60 African cities for the 20th century

“…As a matter of fact, this study finished our endeavour to use the random walk model to fit/simulate the temperature in different parts of the world [9][10][11][12][13][14][15]. The results seem to be similar across different continents.…”

Fitting of precipitation in 49 European capitals from 1901 to 1998 using random walk

“…In this context, we may consider alternative models, such as stochastic models, of which the random walk is an important model to describe natural phenomena, for examples, stock pattern [1] and temperature change [2,3]. Thus an interesting question raised here is whether the random walk model can describe the precipitation along with other powerful deterministic models?…”