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Cheval Sorin Bulai Ana Croitoru Adina-Eliza Dorondel Ștefan Micu Dana Mihăilă Dumitru Sfîcă Lucian Tișcovschi Adrian 《Theoretical and Applied Climatology》2022,149(1-2):253-272
Theoretical and Applied Climatology - In the last decades, anthropogenic drivers have significantly influenced the natural climate variability of Earth’s atmosphere. Climate change has become... 相似文献
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Cristina?Florina?Ro?caEmail author Gabriela?Victoria?Harpa Adina-Eliza?Croitoru Ioana?Herbel Alexandru?Mircea?Imbroane Doina?Cristina?Burada 《Theoretical and Applied Climatology》2017,130(3-4):775-790
Land surface temperature is one of the most important parameters related to global warming. It depends mainly on soil type, discontinuous vegetation cover, or lack of precipitation. The main purpose of this paper is to investigate the relationship between high LST, synoptic conditions and air masses trajectories, vegetation cover, and soil type in one of the driest region in Romania. In order to calculate the land surface temperature and normalized difference vegetation index, five satellite images of LANDSAT missions 5 and 7, covering a period of 26 years (1986–2011), were selected, all of them collected in the month of June. The areas with low vegetation density were derived from normalized difference vegetation index, while soil types have been extracted from Corine Land Cover database. HYSPLIT application was employed to identify the air masses origin based on their backward trajectories for each of the five study cases. Pearson, logarithmic, and quadratic correlations were used to detect the relationships between land surface temperature and observed ground temperatures, as well as between land surface temperature and normalized difference vegetation index. The most important findings are: strong correlation between land surface temperature derived from satellite images and maximum ground temperature recorded in a weather station located in the area, as well as between areas with land surface temperature equal to or higher than 40.0 °C and those with lack of vegetation; the sandy soils are the most prone to high land surface temperature and lack of vegetation, followed by the chernozems and brown soils; extremely severe drought events may occur in the region. 相似文献
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Adina-Eliza Croitoru Iulian-Horia Holobaca Catalin Lazar Florin Moldovan Alexandru Imbroane 《Climatic change》2012,111(2):393-410
Air temperature variability and trends in Romania were analysed using monthly, seasonal, and annual datasets. Temperature
data of winter wheat season were also analysed. The Mann-Kendall test, Sen’s slope estimate, the sequential version of the
Mann-Kendall test, the Pettitt test and spatial and temporal hierarchical cluster analyses were used. First, the datasets
were checked for changing points. The 106-year period was divided into two long periods of 100 years each to verify the importance
of a very short interval in changing of general trends; after that it was divided into three shorter periods of 35–36 years
each. The main conclusions are as follows: the 6 years making up the difference between the two long periods are very important
in the context of the recent global warming; the three shorter periods analysis indicate some fluctuations rather than continuous
warming. The latest short period is the most relevant for global warming. Spatial hierarchical cluster analysis indicated
the existence of two distinctive groups. One of them, which includes stations in the south-east part of the country, seems
to be influenced by the Black Sea surface temperature. Temporal hierarchical cluster analysis reveals that annual data series
have the closest relation with the summer data series. Further, the impact of temperature changes on winter wheat phenology
was determined using a phenology simulation performed with the model from the Decision Support System for Agrotechnology Transfer
v. 4.0.2.0 platform. Earlier occurrences of anthesis and maturity were noticed for several regions in the country. 相似文献
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Adina-Eliza Croitoru Dorin Drignei Iulian-Horia Holobaca Carmen Sofia Dragota 《Theoretical and Applied Climatology》2012,108(1-2):9-18
Characterizing climatic changes in the high-altitude mountain regions helps scientists and policy makers understand the effects of such changes on water resources, economic development, and the health of ecosystems. This paper proposes a change-point analysis to determine the time and magnitude of summer temperature changes in the summit areas of Romanian Carpathians between 1961 and 2007. Due to their altitude, massiveness, and position, Romanian Carpathians are an important barrier for different types of air masses between Western and Southeastern Europe. The results show that the change in summer temperatures occurred shortly after 1980. The average magnitude of this change is consistent with changes occurring in other parts of Southern Europe in the same time period although the magnitude of changes at individual weather stations may differ substantially. We aided our analysis by a statistical method based on regression models with serially correlated ARMA errors. 相似文献
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Ioana?Herbel Adina-Eliza?CroitoruEmail author Adina?Viorica?Rus Cristina?Florina?Ro?ca Gabriela?Victoria?Harpa Antoniu-Flavius?Ciupertea Ionu??Rus 《Theoretical and Applied Climatology》2018,133(3-4):681-695
The association between heat waves and the urban heat island effect can increase the impact on environment and society inducing biophysical hazards. Heat stress and their associated public health problems are among the most frequent. This paper explores the heat waves impact on surface urban heat island and on the local economy loss during three heat periods in Cluj-Napoca city in the summer of 2015. The heat wave events were identified based on daily maximum temperature, and they were divided into three classes considering the intensity threshold: moderate heat waves (daily maximum temperature exceeding the 90th percentile), severe heat waves (daily maximum temperature over the 95th percentile), and extremely severe heat waves (daily maximum temperature exceeding the 98th percentile). The minimum length of an event was of minimum three consecutive days. The surface urban heat island was detected based on land surface temperature derived from Landsat 8 thermal infrared data, while the economic impact was estimated based on data on work force structure and work productivity in Cluj-Napoca derived from the data released by Eurostat, National Bank of Romania, and National Institute of Statistics. The results indicate that the intensity and spatial extension of surface urban heat island could be governed by the magnitude of the heat wave event, but due to the low number of satellite images available, we should consider this information only as preliminary results. Thermal infrared remote sensing has proven to be a very efficient method to study surface urban heat island, due to the fact that the synoptic conditions associated with heat wave events usually favor cloud free image. The resolution of the OLI_TIRS sensor provided good results for a mid-extension city, but the low revisiting time is still a drawback. The potential economic loss was calculated for the working days during heat waves and the estimated loss reached more than 2.5 mil. EUR for each heat wave day at city scale, cumulating more than 38 mil. EUR for the three cases considered. 相似文献
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Spatiotemporal distribution of aridity indices based on temperature and precipitation in the extra-Carpathian regions of Romania 总被引:2,自引:2,他引:0
Adina-Eliza Croitoru Adrian Piticar Alexandru Mircea Imbroane Doina Cristina Burada 《Theoretical and Applied Climatology》2013,112(3-4):597-607
In the last decades, droughts are a recurrent phenomena in many regions of the world, especially in the subtropics and mid-latitudes, affecting more and more the society. Aridity indices are often used to identify regions prone to that phenomenon. In this paper, we used data recorded in 30 locations in the extra-Carpathian areas of Romania over the period 1961–2007. The De Martonne aridity index (I DM) and the Pinna combinative index (I P) were employed in order to identify critical areas in the most important agricultural regions of the country. Monthly, seasonal, annual, and winter wheat and maize growing season datasets of I DM and annual values of I P were calculated. The trends were identified using the Mann–Kendall test and Sen’s slope, while ordinary Kriging technique was employed for interpolation. The main findings are that the most vulnerable to semi-aridity are the southeastern regions, especially during the warm period of the year, and that for Romania, the use of I DM is more appropriate compared to I P. 相似文献
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