Norel Rimbu

Dr. Norel Rimbu

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Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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1 November 2004 in Quaternary Science Reviews
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Journal Article
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JKJung-Hyun Kim
Jung-Hyun Kim
NRNorel Rimbu
Norel Rimbu
SLStephan J. Lorenz
Stephan J. Lorenz
GLGerrit Lohmann
Gerrit Lohmann
SNSeung-Il Nam
Seung-Il Nam
RSRalph R. Schneider
Ralph R. Schneider

19 March 2003 in Geophysical Research Letters
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Journal Article
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NRNorel Rimbu
Norel Rimbu
GLGerrit Lohmann
Gerrit Lohmann
JKJ.‐H. Kim
J.‐H. Kim
HAH. W. Arz
H. W. Arz
RSR. Schneider
R. Schneider

22 June 2004 in Climate Dynamics
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Journal Article
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NRNorel Rimbu
Norel Rimbu
GLGerrit Lohmann
Gerrit Lohmann
SLS. J. Lorenz
S. J. Lorenz
JKJ. H. Kim
J. H. Kim
RSR. R. Schneider
R. R. Schneider

14 August 2002 in International Journal of Climatology
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NRNorel Rimbu
Norel Rimbu
CBConstanţa Boroneanţ
Constanţa Boroneanţ
CBCarmen Buţă
Carmen Buţă
MDMihai Dima
Mihai Dima
The decadal variability (>5 years) of the Danube river flow in the lower basin and its connection with the North Atlantic Oscillation (NAO) is analysed for the period 1931–95. Associated linkages with precipitation (PP) in the European sector, global sea surface temperature (SST) and atmospheric circulation for the period 1931–81, and the 500 hPa geopotential heights (G500) over the Northern Hemisphere for the period 1948–95 are also investigated.The results show that there is an out‐of‐phase relationship between the time series of the Danube river flow anomalies and the NAO index. The time series of a PP index, defined as the average of normalized precipitation anomalies over a large area including the Danube basin, presents a time evolution similar to that of the river flow anomalies.The correlation maps between the river flow anomalies and global SST show coherent large‐scale patterns. High values of the Danube river flow are associated with a tripole‐like SST structure in the North Atlantic similar to that appearing during the negative phase of the NAO, and with negative SST anomalies in the central North Pacific and positive SST anomalies in the eastern and central tropical Pacific. Physically consistent sea level pressure and 500 hPa geopotential height are obtained. Copyright © 2002 Royal Meteorological Society.

7 December 2004 in Geophysical Research Letters
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NRNorel Rimbu
Norel Rimbu
MDM. Dima
M. Dima
GLGerrit Lohmann
Gerrit Lohmann
SSSabina Stefan
Sabina Stefan

25 November 2014 in Journal of Geophysical Research: Atmospheres
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NRNorel Rimbu
Norel Rimbu
GLGerrit Lohmann
Gerrit Lohmann
MIMonica Ionita
Monica Ionita
The dominant modes of blocking frequency variability in the Atlantic‐European region are evaluated for the 1871–2010 period. An Empirical Orthogonal Function (EOF) analysis of a two‐dimensional blocking indicator field reveals three dominant EOFs, describing about 35% of interannual to multidecadal blocking variability. The first EOF captures an out‐of‐phase blocking frequency anomaly over Greenland and Western Europe regions. The corresponding principal component time series is strongly correlated with the North Atlantic Oscillation index but shows also significant correlations with indices of the East Atlantic, Scandinavian, and East Atlantic‐Western Russia patterns. The second EOF shows a dominant center over the North Sea region as well as a less pronounced center with anomalies of the same sign over southeastern Greenland. The multidecadal variations of this mode of blocking variability are related with a basin wide North Atlantic sea surface temperature anomaly which projects partly on the Atlantic Multidecadal Oscillation (AMO). The third mode is an east‐west dipole of blocking frequency anomalies from Scandinavian and southern Greenland regions and shows enhanced variability at ~20 year time scales. The coherent variations of the time coefficients of this pattern with open solar flux suggest a possible solar influence on blocking variability at these time scales. Furthermore, the dominant patterns of blocking variability are related with distinct anomaly patterns in the occurrence of extreme low temperature events over Europe at interannual to multidecadal time scales. AMO as well as the solar signals was detected also in the corresponding extreme low temperature blocking patterns. We argue that multivariate analysis of blocking indicators gives additional information about blocking and related extreme climate phenomena variability and predictability comparative with classical sectorial approach.