The widespread availability of Land Surface Temperature (LST) data from various sources presents a contemporary challenge for urban climate studies: how to efficiently compare these data with the results of traditional methods of temperature monitoring, which typically assume measurements at 2 m under sheltered conditions. In this line, the current study is based primarily on data extracted from a network of 31 points of hourly temperature monitoring at the 2 m level (Tair2m), in use between 2019 and 2021, in the city of Suceava in north-eastern Romania. These data allowed a detailed mapping for each hourly time step through multiple regression, adjusted by IDW, which was identified as the best interpolation method of Tair2m. These data were analyzed in parallel with LST data derived from Landsat imagery available in the analyzed period for 35 summer days with no or low cloud cover. The mapping results of both the Tair2m and LST data describe the main characteristics of the Suceava urban agglomeration (SvMA) heat island, which presents polynuclear features with intensities—as expressed by the temperature difference between the cores of the heat island and the surrounding rural areas—spanning during the summer noontime between 3.0 °C based on Tair2m and 7.1 °C on LST, respectively. The values of the Tair2m–LST differences were 0.68 °C on average, ranging from 5.33 to −19.17 °C, directly proportional to the imperviousness ratio (IMD) values, reaching the highest values in the local climate zones (LCZs) with a high built-up ratio (up to −19.17 °C) and the lowest (0.5 ÷ −0.5 °C) for those with bare soils, with isolated bushes and trees, with few or no buildings. The study results could serve as a tool to downscale the LST data to the level of Tair2m, which is useful for interpretation of the data derived from these commonly used tools in urban climate monitoring.

Currently, there is little information regarding the recent spatiotemporal dynamics of upper timberline in the Carpathian Mountains. We reconstructed the temporal (1887–2018) and spatial dynamics of upper timberline in the Rodna Mountains (Eastern Carpathians) based on seven sets of maps and aerial photographs and explained its variability in relation to three main drivers: air temperature, land morphometry and anthropogenic pressure. The impact of natural drivers (temperature, morphometry) on timberline position was evaluated using a high-resolution digital elevation model, local and regional instrumental and modelled climate databases. The impact of anthropogenic factors on timberline position was documented from published sources such as local paleolimnological studies and historical documents. Results show that timberline rose on average with 113 ± 2 m on the northern slope of the Rodna Mts (currently reaching 1640 m above sea level (a.s.l.)) and with 182 ± 2 m on the southern slope (up to an elevation of 1539 m a.s.l.). Our results suggest that this pattern might be connected with the rising temperature over the recent decades. On the northern slope where land morphometry restricts anthropogenic activities, timberline reached the highest elevation. On the more accessible southern slope, anthropogenic land-use changes likely moderated timberline elevational rise under increasing temperatures.

The study analyzes with priority the bioclimatic conditions for tourist activities in two famous tourist areas in western Romania [(Băile Felix–Băile 1 Mai (BF_1 M) – Stâna de Vale – Vlădeasa and, respectively Băile Herculane (BH) - Semenic], from the perspective of the potential of health tourism and in the subsidiary of sports and camping tourism. Such researches are missing for western Romania. The main working tools in the evaluation of the tourist valences of the bioclimate include: the spatio-temporal analysis of the Physiologically Equivalent Temperature (PET) bioclimatic index, of the TCI climate-tourism index and of the climate-tourism schemes (CTIS). PET, TCI and CTIS were calculated and drawn up based on the daily data of the meteorological elements included in their calculation for the period 1961–2019. The bioclimate is analyzed as an element of potential that can increase (through a better evaluation and knowledge) the attractiveness and sustainability of the health tourism in the already established resorts (BF_1 M, BH) and can develop sports and camping tourism in the direction of the two proposed axes (Stâna de Vale – Vlădeasa și Semenic), with the decongestion of the resorts from the base the mountains. The proposed objectives consist inmulti-criteria evaluation, promotion and sustainable exploitation of the bioclimatic (and spa) resources of the six tourist destinations, but it also aims to increase the level of attention and information of all those interested, by promoting the bioclimatic and climate-tourism assets of complementary tourist destinations (Stâna de Vale, Vlădeasa, Semenic). The results obtained from the PET statistics show that between 25 and 39 % of the days of a year are comfortable, and the TCI statistics show that between 54 and 69 % of the days are favorable for the practice of tourism. PET and TCI highlight that from mid-April to mid-October the bioclimatic conditions for health tourism are good at BF_1 M and BH and that, only in the months of December–February the balneoclimatic procedures carried out outside the treatment bases are subject to climatic restrictions. Sports tourism has few temporal restrictions, and camping tourism restricts its duration, from April to October in lowland resorts, to May to September in mountain tourist destinations. CTIS shows that the resorts in western Romania have the most favorable bioclimatic and climate-tourism conditions in Romania.

This study analyzes for the first time uniformly and causally the level of pollution and air quality for the NE-Romania Region, one of the poorest region in the European Union. Knowing the level of pollution and air quality in this region, which can be taken as a benchmark due to its positional and economic-geographical attributes, responds to current scientific and practical needs. The study uses an hourly database (for five pollutants and five climate elements), from 2009 to 2020, from 19 air quality monitoring stations in northeastern Romania. Pollutant levels were statistically and graphically/cartographically modeled for the entire 2009–2020 interval on the distributive-spatial and regime, temporal component. Inter-station differences and similarities were analyzed causally. Taking advantage of the emergency measures between March 16 and May 14, 2020, we observed the impact of the event on the regional air quality in northeastern Romania. During the emergency period, the metropolitan area of Suceava (with over 100,000 inhabitants) was quarantined, which allowed us to analyze the impact of the quarantine period on the local air quality. We found that, in this region, air quality falls into class I (for NO₂, SO₂ and CO), II for O₃ and III for PM₁₀. During the lockdown periods NO₂ and SO₂ decreased for the entire region by 8.6 and 14.3%, respectively, and in Suceava by 13.9 and 40.1%, respectively. The causes of the reduction were anthropogenic in nature.

The study evaluates the variability of water balance using different indices for the period 1961–2018 in Cotnari and surroundings, in the middle part of the Moldavian Plateau (MP), Romania. With the aid of statistical analysis and remote sensing, we discovered that the Cotnari's SPEI (Standardized Precipitation and Evapotranspiration Index) variability is characterized by severe values that alternate between significant excess and significant deficits. According to SPEI, between 57.2 and 61.4% of the months were near normal in terms of water balance. There were between 19.3 and 25.1% months with water excess and between 17.1 and 20.8% with water deficit. The links between NDVI and SPEI become stronger as SPEI reaches extreme values (above 1.5 units or below −1.5 units). The water balance indicates a decrease in available water resources.