Nicu Barbu

Dr. Nicu Barbu

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 October 2018 in Meteorological Applications
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SSSabina Stefan
Sabina Stefan
NBNicu Barbu
Nicu Barbu
This study investigated the radar‐derived parameters in hail‐producing storms and compared two hail‐detection approaches in order to select the optimal method for real‐time hail detection for the southern part of Romania. A statistical analysis of radar parameters was made, and the thresholds for radar‐deriver parameters in hail‐producing storms were determined. In addition, the hail storms’ life cycle and diurnal and seasonal cycles of hail occurrence were investigated. The first algorithm developed in this study was based on the logistic regression model (LRM); the second one on the vertically integrated liquid (VIL) density algorithm. These algorithms were tested for the convective seasons (May–September) of 2014 and 2015. For the construction of the LRM, the composite reflectivity (CR), VIL and echo‐top high (ET) were used as predictors for the probability of hail occurrence determination for 43 hail events observed at the synoptic station located in the radar‐coverage area. The obtained statistics showed a marked diurnal cycle of hail occurrence with a maximum in the afternoon hours (1500–1800 LT), and the highest occurrence frequency of hail falls was in June. The results revealed that 93% of hail events occurred with 60 dBZ CR, 87% with 13 km ET, 100% with 55 kg/m2 VIL and 100% with 4.5 g/m3 VIL density. For the two hail‐detection methods’ performance comparison, a two‐by‐two contingency table was constructed and several statistical scores calculated. The LRM algorithm performed better than the VIL density algorithm.

1 April 2016 in Acta Geophysica
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NBNicu Barbu
Nicu Barbu
CBCristina Burada
Cristina Burada
SSSabina Stefan
Sabina Stefan
FGFlorinela Georgescu
Florinela Georgescu
Acta Geophysica Open Access Published: 01 April 2016 Changes in the Large-Scale Atmospheric Circulation over Romania Between 1961 and 2010 on Seasonal Basis Nicu Barbu1, Cristina Burada3, Sabina Stefan1 & Florinela Georgescu2 Acta Geophysica volume 64, pages 510–520 (2016)Cite this article 290 Accesses 7 Citations Metrics details Abstract The aim of this paper is to investigate the trends and shifts of the circulation types over Romania for 50-year period (1961–2010) on seasonal basis. In order to achieve this, two objective catalogues, namely GWT and WLK, from COST733 Action were employed. Daily circulation types were grouped according to the cyclonicity and anticyclonicity and were used to calculate the seasonal occurrence frequency of cyclonic and anticyclonic types. The trend of seasonal time series was investigated by using Mann–Kendall test and the shifts points were determined by using Pettitt test. The results reveal that the occurrence frequency of anti-cyclonic types increases in summer and winter seasons and the occurrence frequency of cyclonic ones decreases for the summer season (for alpha = 0.05). Download to read the full article text References Barbu, N., F. Georgescu, V. Ştefanescu, and S. Ştefan (2014), Large-scale mechanisms responsible for heat waves occurrence in Romania, Rom. J. Phys. 59, 9–10, 1109–1126. Google Scholar Bárdossy, A., and H.J. Caspary (1990), Detection of climate change in Europe by analyzing European atmospheric circulation patterns from 1881 to 1989, Theor. Appl. Climatol. 42, 3, 155–167, DOI: 10.1007/BF00866871. Article Google Scholar Beck, C., J. Jacobeit, and P.D. Jones (2007), Frequency and within-type variations of large-scale circulation types and their effects on low-frequency climate variability in Central Europe since 1780, Int. J. Climatol. 27, 4, 473–491, DOI: 10.1002/joc.1410. Article Google Scholar Birsan, M.V., and A. Dumitrescu (2014), Snow variability in Romania in connection to large-scale atmospheric circulation, Int. J. Climatol. 34, 1, 134–144, DOI: 10.1002/joc.3671. Article Google Scholar Bissolli, P., and E. Dittmann (2004), Objective weather types. In: Klimastatusbericht 2003, Deutscher Wetterdienst, Offenbach, 101–107 (in German). Google Scholar Dittmann, E., S. Barth, J.G. Lang, and J.G. Müller-Westermeier (1995), Objective weather type classification, Tech. Report 197, Deutscher Wetterdienst, Offenbach (in German). Google Scholar Geng, Q., and M. Sugi (2003), Possible change of extratropical cyclone activity due to enhanced greenhouse gases and sulfate aerosols–study with a highresolution AGCM, J. Climate 16, 13, 2262–2274, DOI: 10.1175/1520-0442(2003)162.0.CO;2. Article Google Scholar Georgescu, F., and S. Stefan (2010), Cyclonic activity over Romania in connection with the air circulation types, Rom. Rep. Phys. 62, 4, 878–886. Google Scholar Hess, P., and H. Brezowski (1952), Catalog of the European Large-Scale Weather Types, Tech. Report 33, Deutscher Wetterdienst, Offenbach, 39 pp. Google Scholar Hurrell, J.W., and C. Deser (2010), North Atlantic climate variability: The role of the North Atlantic Oscillation, J. Marine Syst. 79, 3–4, 231–244, DOI: 10.1016/j.jmarsys.2009.11.002. Article Google Scholar Huth, R., C. Beck, A. Philipp, M. Demuzere, Z. Ustrnul, M. Cahynová, J. Kyselý, and O.E. Tveito (2008), Classifications of atmospheric circulation patterns, Ann. N. Y. Acad. Sci. 1146, 105–152, DOI: 10.1196/annals.1446.019. Article Google Scholar Jacobeit, J., P. Jönsson, L. Bärring, C. Beck, and M. Ekström (2001), Zonal indices for Europe 1780-1995 and running correlations with temperature, Climatic Change 48, 1, 219–241, DOI: 10.1023/A:1005619023045. Article Google Scholar Jacobeit, J., R. Glaser, J. Luterbacher, and H. Wanner (2003), Links between flood events in central Europe since AD 1500 and large-scale atmospheric circulation modes, Geophys. Res. Lett. 30, 4, 1172, DOI: 10.1029/ 2002GL016433. Article Google Scholar Kalnay, E., M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, White, J. Woollen, Y. Zhu, A. Leetmaa, R. Reynolds, M. Chelliah, W. Ebisuzaki, W. Higgins, J. Janowiak, K.C. Mo, C. Ropelewski, J. Wang, R. Jenne, and D. Joseph (1996), The NCEP/NCAR 40-Year Reanalysis Project, Bull. Am. Meteorol. Soc. 77, 3, 437–471, DOI: 10.1175/ 1520-0477(1996)0772.0.CO;2. Article Google Scholar Kang, S.M., and J. Lu (2012), Expansion of the Hadley cell under global warming: winter versus summer, J. Climate 25, 24, 8387–8393, DOI: 10.1175/JCLI-D-12-00323.1. Article Google Scholar Kendall, M.G. (1975), Rank Correlation Methods, 4th ed., Charles Griffin, London. Google Scholar Kyselý, J. (2002), Temporal fluctuations in heat waves at Prague-Klementinum, the Czech Republic, from 1901–1997, and their relationships to atmospheric circulation, Int. J. Climatol. 22, 1, 33–50, DOI: 10.1002/joc.720. Article Google Scholar Lamb, H.H. (1972), British Isles Weather Types and Register of Daily Sequence of Circulation Patterns, 1861–1971, Geophysical Memoir, Vol. 116, Her Majesty’s Stationery Office, London, 85 pp. Google Scholar Mann, H.B. (1945), Non-parametric tests against trend, Econometrica 13, 3, 245–259, DOI: 10.2307/1907187. Article Google Scholar Marin, L., M.-V....

25 May 2021 in Meteorological Applications
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AUAna Denisa Urlea
Ana Denisa Urlea
NBNicu Barbu
Nicu Barbu
SASimona Andrei
Simona Andrei
SŞSabina Ştefan
Sabina Ştefan
The goal of this article is to investigate how the Romanian air space would be affected by a potential large eruption of Vesuvius volcano. In order to characterize the potential impact of such an event on the Romanian air space, we simulated the ash plume transport from a hypothetical explosive eruption with a significant magnitude, that is, Volcanic Explosivity Index (VEI 4). The volcanic ash cloud transport towards Romania was described by using the mass distribution from the HYbrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) for Volcanic Ash numerical model. To assess the dominant air circulation types, an adaptation of the WetterLagenKlassification (WLK) classification scheme was used. The results emphasized that a long‐wave trough and southwesterly flow in upper levels would favour the direct transport of volcanic ash cloud towards the Romanian air space. Non‐negative matrix factorization method has been used to identify the atmospheric layer with the maximum values of mass. The simulation results reveal that the maximum values of averaged mass were obtained at an altitude around 7 km.

2 August 2015 in Theoretical and Applied Climatology
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NBNicu Barbu
Nicu Barbu
VCV. Cuculeanu
V. Cuculeanu
SSS. Stefan
S. Stefan

26 January 2024 in Theoretical and Applied Climatology
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CNCristian Necula
Cristian Necula
SSSabina Stefan
Sabina Stefan
MBMarius-Victor Birsan
Marius-Victor Birsan
NBNicu Barbu
Nicu Barbu
INIon-Andrei Nita
Ion-Andrei Nita

13 April 2018 in EPJ Web of Conferences
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AUAna Denisa Urlea
Ana Denisa Urlea
ABAndreea Boscornea
Andreea Boscornea
SVSorin Nicolae Vâjâiac
Sorin Nicolae Vâjâiac
FŢFlorica Ţoancă
Florica Ţoancă
NBNicu Barbu
Nicu Barbu
IBIonuț Bunescu
Ionuț Bunescu
Three case studies of Saharan dust intrusions over southern Romania were performed. For these studies the database from the ceilometers located at Magurele and Strejnic was used. In addition, the meteorological conditions were analyzed using the WLK Catalogue based on the Objektive Wetterlagenklassifikation classification of the weather types [1]. This catalogue uses information from three basic tropospheric levels: 925, 700 and 500 hPa, and information on the precipitable water content over the entire atmosphere column. Geopotential fields at 925hPa and 500hPa are used for establishing the cyclonicity or anticyclonicity, while the U and V components of wind at 700hPa for establishing the dominant direction of the wind flow. For better understanding of the atmospheric parameters we performed HYSPLIT dispersion and trajectories analysis in conjunction with DREAM model output data.