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Publications (19)
In the present study, a sea surface temperature-based index named global-scale interdecadal variability (GIV) encompassing the combined variability of Atlantic multidecadal oscillation (AMO) and interdecadal Pacific oscillation (IPO) has been proposed. The warm phase of GIV exhibits a "cold AMO-like" pattern in the Atlantic basin and a "warm IPO-li...
The El Niño-Southern Oscillation (ENSO) is the dominant driver of climate variability globally. ENSO cycle describes the fluctuations in the sea surface temperature in the eastern equatorial Pacific and has a periodicity of 2–7 years. El Niño (warm phase) and La Niña (cold phase) are two opposite phases of the ENSO cycle. Generally, ENSO–Indian sum...
The climate system exhibits various modes of internal natural variability. The successful simulation and prediction of these modes can increase confidence in the coupled global climate models used for climate predictions. In this chapter, an attempt has been made to understand the linkage between the Pacific decadal variability and the Indian summe...
During 2015, the southwest monsoon (SWM) rainfall over the country remained deficient with seasonal rainfall of about 86% of the long period average (Table 1.1). Last year, the seasonal rainfall deficiency over the country as a whole was 12% (www.imd.gov.in). Thus, this is a fourth episode of two consecutive years, with deficient monsoon, similar t...
In this study the role of an Indian Ocean heating dipole anomaly in the transition of the North Atlantic European (NAE) circulation response to El Niño-Southern Oscillation (ENSO) from early to late winter is analyzed using 20th century reanalysis and simulations from the fifth Coupled Model Intercomparison Project (CMIP5). It is shown that in earl...
Change in hot extremes is one of the accepted evidence and also a global indicator of an anthropogenic climate change, which has serious environmental and economic impacts. In the present study, the India Meteorological Department gridded temperature data is used to characterize hot extremes over India in terms of frequency and intensity. Results p...
The present study aims to provide a relevant ground for attaining deeper perception about the teleconnection between the Atlantic multidecadal oscillation (AMO) and the Indian summer monsoon rainfall (ISMR) in observations as well as in 30 models from the World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 5 (CMIP5)....
The eastern Pacific Ocean received a record highest number of sub-tropical convective activities during boreal summer (June–September) of 2015, since last four decades. The associated rainfall distribution was also atypical with anomalously enhanced rainfall extending from equator to sub-tropical central-eastern Pacific. The present analysis reveal...
The present study evaluates the fidelity of 32 models from the fifth Coupled Model Intercomparison Project (CMIP5) in simulating the observed teleconnection of Interdecadal Pacific Oscillation (IPO) with Indian summer monsoon rainfall (ISMR). Approximately two-thirds of the models show well-defined spatial pattern of IPO over the Pacific basin and...
In this study the teleconnection from the tropical south Atlantic to the Indian monsoon has been assessed in observations and in 32 models from the World Climate Research Program (WCRP) Coupled Model Intercomparison Project Phase 5 (CMIP5). All models show that the regression pattern of tropics-wide Atlantic sea surface temperature (SST) anomalies...
In a nonlinear, chaotic dynamical system, there are typically regions in which an infinitesimal error grows and regions in which it decays. If the observer does not know the evolution law, recourse is taken to non-dynamical methods, which use the past values of the observables to fit an approximate evolution law. This fitting can be local, based on...
This study provides a pertinent ground for acquiring deeper insight about the low-frequency variability of precipitation and its extremes over India and its homogeneous monsoon regions under the combined interplay of both the Atlantic multidecadal oscillation (AMO) and the interdecadal Pacific oscillation (IPO). The percent of variance in the total...
The satellite datasets, namely, the Tropical Rainfall Measuring Mission (TRMM) MultiSatellite Precipitation Analysis (TMPA) product, 3B42 version 6 and Global Precipitation Climatology Project (GPCP) one-degree-daily (1DD) from NASA Goddard Space Flight Center, have been validated against the ground truth' rain-gauge data from the India Meteorologi...
Annual, seasonal, and monthly trends in surface air temperature were
examined over India during the period 1901-2003. Besides this, annual
and seasonal trends were also scrutinized in view of global warming
concerns during the 2 non-global (1901-1909 and 1946-1975) and global
(1910-1945 and 1976-2003) warming periods as defined by
Intergovernmental...
ISMR with its annual, seasonal and daily variability affects most of social, economic and human activities throughout the Indian subcontinent. In particular, the drought and floods not only affect all types of agricultural products but is also responsible for loss of human lives and property. Late or prolonged monsoon break can lead to catastrophic...
The spectral analysis of gridded rainfall data obtained from 1384 rain gauge stations by India Meteorological Department demonstrates not much change in low-frequency components of decadal spectra of all India and its four subregions, namely, southwest, southeast, central, and northwest, during the last 10 decades. However, the dominant as well as...
Rainfall is not uniform over space and time. The All India rainfall shows yearly, seasonal as well as daily variability. Thus it is essential to know the Intraseasonal and Interannual variability of rainfall for proper crop management. The Indian Meteorological Department (IMD) gridded rainfall data has been used in the present study. The Daily Rai...
The Massachusetts Institute of Technology Global Circulation Model (MITgcm) was installed on Linux High Performance Cluster Computing System with 18 nodes and 144 (36 * Intel Quad core) processors. The model was configured for the southern hemisphere (0⁰E-356⁰E & 70⁰S-40⁰S). The model output is stored after every 10 days. In the present study, the...
The Massachusetts Institute of Technology Global Circulation Model (MITgcm) was installed on Linux High Performance Cluster Computing System with 18 nodes and 144 (36 * Intel Quad core) processors. The model was configured for the southern hemisphere (0⁰E-356⁰E & 70⁰S-40⁰S) to simulate the Antarctic sea ice concentration (AnSIC) over the last three...