Variations of energy fluxes with ENSO, IOD and intra seasonal variability of Indian summer monsoon over the Indian Monsoon region
KAUST DepartmentPhysical Science and Engineering (PSE) Division
Embargo End Date2023-04-01
Permanent link to this recordhttp://hdl.handle.net/10754/668879
MetadataShow full item record
AbstractVariations of energy fluxes with ENSO, IOD, and Intra-Seasonal Variability(ISV) of Indian Summer Monsoon Rainfall (ISMR) over the Indian monsoon region are examined using ECMWF Era Interim reanalysis over a period of 1979–2013. The composite anomalies of radiative fluxes, viz. shortwave and longwave, latent, and sensible heat as well as precipitation and winds are analyzed for the years associated with El Niño, La Niña, positive and negative IOD phases, active, and break phases of ISMRR with respect to the normal years. It is observed that, the lesser (more) precipitation over the region in the El Niño (La Niña) years is accompanied with enhanced (reduced) top of the atmosphere absorbed solar radiation and outgoing long wave radiation, as well as more (less) surface absorbed solar radiation, and surface sensible heat flux. During the positive IOD phase, enhanced convective activity and precipitation rainfall over the western Equatorial Indian Ocean, Arabian Sea, and west coast of India, with reduced rainfall over the eastern equatorial Indian ocean is accompanied with enhanced shortwave and long wave radiative fluxes over most parts of the Indian subcontinent. The conditions during the negative IOD phases are largely the opposite.
CitationBal, P. K., Dasari, H. P., Prasad, N., Salunke, P., & Parihar, R. S. (2021). Variations of energy fluxes with ENSO, IOD and intra seasonal variability of Indian summer monsoon over the Indian Monsoon region. Atmospheric Research, 105645. doi:10.1016/j.atmosres.2021.105645
SponsorsWe acknowledge the European Centre for Medium-Range Weather Forecasts (ECMWF) for making available the observational datasets. We wish to thank Saroj Kanta Mishra who suggested to work on this research problem, and helped us in the analyses. We also thank Abhishek Anand for some technical help in generating Fig. 1 of the paper. The referees provided very constructive and insightful suggestions, which led to substantial improvements in the final version. We also thank the editor for taking time in handling the peer review process for this manuscript. We acknowledge the European Centre for Medium-Range Weather Forecasts (ECMWF) for making available the observational datasets. This research work is partly supported by the DST Centre of Excellence in Climate Modeling, IIT Delhi.