dc.contributor.advisor |
ETTAMMAL, SUHAS |
en_US |
dc.contributor.author |
ALEENA, M J |
en_US |
dc.date.accessioned |
2021-07-26T04:36:30Z |
|
dc.date.available |
2021-07-26T04:36:30Z |
|
dc.date.issued |
2021-07 |
|
dc.identifier.citation |
34 |
en_US |
dc.identifier.uri |
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6104 |
|
dc.description.abstract |
The horizontal structure, propagation characteristics, and the physical processes influencing the strength and interannual variability of convectively coupled Kelvin waves
(CCKW) are studied using satellite observation and reanalysis data. An approach of
amplitudebased classification of waves is used in this study. The convective signals
of CCKW and the major domains of CCKW activity are identified by applying empirical
orthogonal function analysis on CCKW wavenumberfrequency filtered OLR anomaly
data. The waves are found to be dominant in Pacific and Atlantic domains. The CCKW
activity over the Pacific domain exhibited a maximum during the MayJune months,
whereas the CCKW maximum over the Atlantic domain is during MarchMay. This
suggested that a portion of CCKW over Atlantic might be independent of that over
Pacific. Supporting this, the Pacific and Atlantic CCKW variance is identified to have
an out of phase relationship during the five strong and weak CCKW activity years in
each domain. The amplitudes of Pacific and Atlantic CCKW are found to be indeed
depended on the largescale background state. CCKW amplitudebased composite
analysis revealed a strong linear relationship between the amplitude of the CCKWs
and El Nino like background state. It was observed that the central Pacific El Nino like
background state favors the CCKWs over the Pacific, whereas the eastern Pacific El
Nino like background state supports the CCKWs over the Atlantic. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
Atmospheric waves |
en_US |
dc.subject |
Interannual variability |
en_US |
dc.title |
Factors influencing strength and variability of Convectively Coupled Kelvin Wave |
en_US |
dc.type |
Thesis |
en_US |
dc.type.degree |
BS-MS |
en_US |
dc.contributor.department |
Dept. of Earth and Climate Science |
en_US |
dc.contributor.registration |
20161072 |
en_US |