Unnikrishnan C.K.

Dr. Unnikrishnan C.K.

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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1 June 2012 in Meteorological Applications
Verified
Journal Article
Open access
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MRM. Rajeevan
M. Rajeevan
UCUnnikrishnan C.K.
Unnikrishnan C.K.
JBJyoti Bhate
Jyoti Bhate
KKK. Niranjan Kumar
K. Niranjan Kumar
PSP. P. Sreekala
P. P. Sreekala
South peninsular India experiences a large portion of the annual rainfall during the northeast monsoon season (October to December). In this study, the facets of diurnal, intra‐seasonal and inter‐annual variability of the northeast monsoon rainfall (the NEMR) over India have been examined. The analysis of satellite derived hourly rainfall reveals that there are distinct features of diurnal variation over the land and oceans during the season. Over the land, rainfall peaks during the late afternoon/evening, while over the oceans an early morning peak is observed. The harmonic analysis of hourly data reveals that the amplitude and variance are the largest over south peninsular India. The NEMR also exhibits significant intra‐seasonal variability on a 20–40 day time scale. Analysis also shows significant northward propagation of the maximum cloud zone from south of equator to the south peninsula during the season. The NEMR exhibits large inter‐annual variability with the co‐efficient of variation (CV) of 25%. The positive phases of ENSO and the Indian Ocean Dipole (IOD) are conducive for normal to above normal rainfall activity during the northeast monsoon. There are multi‐decadal variations in the statistical relationship between ENSO and the NEMR. During the period 2001–2010 the statistical relationship between ENSO and the NEMR has significantly weakened. The analysis of seasonal rainfall hindcasts for the period 1960–2005 produced by the state‐of‐the‐art coupled climate models, ENSEMBLES, reveals that the coupled models have very poor skill in predicting the inter‐annual variability of the NEMR. This is mainly due to the inability of the ENSEMBLES models to simulate the positive relationship between ENSO and the NEMR correctly. Copyright © 2012 Royal Meteorological Society

6 April 2011 in Climate Dynamics
Verified
Journal Article
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MRM. Rajeevan
M. Rajeevan
UCUnnikrishnan C.K.
Unnikrishnan C.K.
BPB. Preethi
B. Preethi

15 May 2012 in Climate Dynamics
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Journal Article
Closed access
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MRM. Rajeevan
M. Rajeevan
PRP. Rohini
P. Rohini
KKKondapalli Niranjan Kumar
Kondapalli Niranjan Kumar
JSJ. Srinivasan
J. Srinivasan
UCUnnikrishnan C.K.
Unnikrishnan C.K.

1 March 2019 in Atmospheric Research
Verified
Journal Article
Closed access
DJDharmadas Jash
Dharmadas Jash
ERE.A. Resmi
E.A. Resmi
UCUnnikrishnan C.K.
Unnikrishnan C.K.
RSR.K. Sumesh
R.K. Sumesh
TST.S. Sreekanth
T.S. Sreekanth
KRK.K. Ramachandran
K.K. Ramachandran

1 October 2019 in Atmospheric Research
Verified
Journal Article
Closed access
RSR.K. Sumesh
R.K. Sumesh
ERE.A. Resmi
E.A. Resmi
UCUnnikrishnan C.K.
Unnikrishnan C.K.
DJDharmadas Jash
Dharmadas Jash
TST.S. Sreekanth
T.S. Sreekanth
KRK.K. Ramachandran
K.K. Ramachandran

11 August 2021 in Remote Sensing
Verified
Journal Article
Open access
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BSBalaji kumar Seela
Balaji kumar Seela
JJJAYALAKSHMI JANAPATI
JAYALAKSHMI JANAPATI
UCUnnikrishnan C.K.
Unnikrishnan C.K.
Pay-Liam LinPay-Liam Lin
Pay-Liam Lin
Jui Le LohJui Le Loh
Jui Le Loh
MRMannem Venkatrami Reddy
Mannem Venkatrami Reddy
The current study summarizes the raindrop size distributions (RSDs) characteristic of the North Indian Ocean (NIO) tropical cyclones (TCs) measured with ground-based disdrometers installed at the coastal (Thiruvananthapuram, 8.5335°N, 76.9047°E) and inland (Kadapa, 14.4742°N, 78.7098°E) stations in south India. The NIO TCs observed at the coastal station showed more mid- and large-size drops (>1 mm) than the inland station. On the other hand, for both inland and coastal stations, small and mid-size drops (<3 mm) primarily contributed to the total number concentration and rainfall rate. The RSDs of the NIO TCs segregated into precipitation types (stratiform and convective) demonstrated the presence of more mid- and large-size drops at the coastal station. The RSD relations of the NIO TCs, which are used in rain retrieval algorithms of remote sensing (global precipitation measurement) radars, exhibited contrasts between the coastal and inland station. Further, the NIO TCs’ rainfall kinetic energy relations, which are crucial in rainfall erosivity studies, estimated for the coastal station revealed dissimilar characteristics to that of the inland station. The conceivable thermo-dynamical and microphysical processes that are accountable for the disparities in the NIO TCs RSDs measured at the coastal and inland stations are also elucidated in this work.