Analysis of daily solar irradiation variability and predictability in space and time is important for energy resources planning, development, and management. The natural variability of solar irradiation is being complicated by atmospheric conditions (in particular cloudiness) and orography, which introduce additional complexity into the phenomenological records. To address this question for daily solar irradiation data recorded during the years 2013, 2014 and 2015 at 11 stations measuring solar irradiance on La Reunion French tropical Indian Ocean Island, we use a set of novel quantitative tools: Kolmogorov complexity (KC) with its derivative associated measures and Hamming distance (HAM) and their combination to assess complexity and corresponding predictability. We find that all half-day (from sunrise to sunset) solar irradiation series exhibit high complexity. However, all of them can be classified into three groups strongly influenced by trade winds that circulate in a “flow around” regime: the windward side (trade winds slow down), the leeward side (diurnal thermally-induced circulations dominate) and the coast parallel to trade winds (winds are accelerated due to Venturi effect). We introduce Kolmogorov time (KT) that quantifies the time span beyond which randomness significantly influences predictability.

The evolution of daily extreme precipitation from 1966 to 2013 in Vojvodina Region (Serbia) was investigated. We calculated trends of ten precipitation indices and tested their corresponding significances using the Student’s t-test for seven locations. The obtained results suggest that the climate of the northern and central parts of Vojvodina region becomes wetter in terms of precipitation magnitude and frequency, reflecting the characteristic of the central European regime, while the southernmost part of the region is drier, reflecting the characteristic of the Mediterranean regime. In addition, the results indicate an increase in the amount of precipitation in short time intervals. Positive annual trends are strongly influenced by the significant increase of autumn frequency and intensity of extreme precipitation. According to the correlation between extreme precipitation indices and atmospheric teleconnection patterns, it was found that the NAO has the strongest influence on precipitation intensity indices in spring and winter, while during winter it also affects the frequency of dry conditions. The EAWR pattern has a strong influence on the statistically significant positive autumn trends.

The medieval heritage in the context of cultural and historical tourism in Bosnia and Herzegovina is often neglected, but the practice of other European countries shows that this segment of history can be exploited on a very high level. This is primarily related to large objects in the form of fortresses, which generally have a dominant position over the surrounding area. In Bosnia and Herzegovina there are a large number of such forts (over a hundred), which testify to the turbulent medieval past. The fact is also that a large number of such facilities are in an inadequate state, but there are also those who may or already have their tourist function. Within this paper, four examples of medieval forts in Bosnia and Herzegovina - two in the Bosna River valley and two in Northeast Bosnia, from the aspect of their tourism attractiveness and degree of valorization have been analyzed. The methodology in this paper is based on detailed empirical research conducted through very extensive field observation, with the application of combined qualitative and quantitative comparative method of tourism valorization. The particular method used in the paper was based on the application of GIS cartographic models for adequate spatial representation of the study objects.

Horizontal air temperature is defined by the value of the mean air temperature for a certain surface area unit.  It is defined by the value of horizontal thermal gradient, i.e. the value of average change of horizontal temperature per unit area. In order to define the horizontal change of air temperature in Bosnia and Herzegovina, a GRID thermal model was constructed whose spatial resolution is 20 m. Based on obtained thermal model geo-database it was determined that the mean annual air temperature for the whole area of Bosnia and Herzegovina is about 10.9 °C, keeping in mind that there are significant thermal differences with respect to the two existing climate zones. More specifically, on the territory of the northern temperate climate zone the average annual temperature is about 9.7 °C, while in the Mediterranean climate zone the said value is 12.1 °C. In this work, it was also found that thermal contrasts are very pronounced as well, due to the fact that average annual temperature in the highest mountain peak zones in southeastern  Bosnian highlands is negative and is found to be -1.4 °C (Maglić peak), while at the  Neum coastal zone it is measured at 15.9 °C. The above stated pronounced thermal contrasts are determined on a small horizontal distance, as a consequence of climactic position of Bosnia and Herzegovina as well as highly pronounced terrain dynamics. 

The city of East Sarajevo is a newborn city, formed twenty years ago, after the war in Bosnia and Herzegovina, in the area of the former southern and eastern Sarajevo municipalities. Changes that oc-curred in this area were not only administrative-political.Thepopulation moved from one area to anoth-er place, and changed in number and structure, which has resulted in significant changes in land use and land cover types. The aim of the paper is to analyze the types of land cover in the area of East Sarajevo using methods based on remote sensing, in order to find out the degree of these spatial changes in the period from 2000-2012, and also to define spatial development trends. Within the European project of remote research of land cover types and forms of land use, namedCO-RINE Land Cover (CLC),spacious facilities were identified from middle and large scale spatial resolution, with 5 first-level classes, 15 subclasses, and 44 subclasses of the third level of cover. Analyzing the area of East Sarajevo there are identified 3 of the first-class level, 10 second-class, and 16 third-class level types. Geodataare related to three observation periods: 2000, 2006, and 2012, comparing the situation at the beginning of the period with the situation after 12 years.

We have used the Kolmogorov complexities and the Kolmogorov complexity spectrum to quantify the randomness degree in river flow time series of seven rivers with different regimes in Bosnia and Herzegovina, representing their different type of courses, for the period 1965–1986. In particular, we have examined: (i) the Neretva, Bosnia and the Drina (mountain and lowland parts), (ii) the Miljacka and the Una (mountain part) and the Vrbas and the Ukrina (lowland part) and then calculated the Kolmogorov complexity (KC) based on the Lempel–Ziv Algorithm (LZA) (lower—KCL and upper—KCU), Kolmogorov complexity spectrum highest value (KCM) and overall Kolmogorov complexity (KCO) values for each time series. The results indicate that the KCL, KCU, KCM and KCO values in seven rivers show some similarities regardless of the amplitude differences in their monthly flow rates. The KCL, KCU and KCM complexities as information measures do not “see” a difference between time series which have different amplitude variations but similar random components. However, it seems that the KCO information measures better takes into account both the amplitude and the place of the components in a time series.