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1,363 results on '"Goswami, B."'

6. Bandgap Engineering and Visible Luminescence in Cubic Yttrium Oxide via Lanthanides Doping/Co-Doping

Author

Vats, R., Bhukkal, C., Goswami, B., Ahlawat, R., Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Khan, Zishan Husain, editor, Jackson, Mark, editor, and Salah, Numan A., editor

Published
2024
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22. Climate Change and Potential Demise of the Indian Deserts

Author

Rajesh, P. V. and Goswami, B. N.

Subjects
Physics - Atmospheric and Oceanic Physics, Physics - Geophysics
Abstract

In contrast to the wet gets wetter and dry gets drier paradigm, here, using observations and climate model simulations, we show that the mean rainfall over the semi-arid northwest parts of India and Pakistan has increased by 10 to 50 percent during 1901 to 2015 and is expected to increase by 50 to 200 percent under moderate greenhouse gas (GHG) scenarios, e.g, SSP2 4.5. The GHG forcing primarily drives the westward expansion of the Indian summer monsoon (ISM) rainfall and is a result of a westward expansion of the inter-tropical convergence zone (ITCZ), facilitated by a westward expansion of the Indian Ocean warm pool. While an adaptation strategy to increased hydrological disasters is a must, harvesting the increased rainfall would lead to a significant increase in food productivity, bringing transformative changes in the socio-economic condition of people in the region.

Published
2022

48. High ENSO-based 18-month lead Potential Predictability of Indian Summer Monsoon Rainfall

Author

Sharma, Devabrat, Das, Santu, and Goswami, B. N.

Subjects
Physics - Atmospheric and Oceanic Physics
Abstract

Scientific basis for long-lead seasonal prediction of Indian summer monsoon rainfall (ISMR) critical for water resource and crop strategy planning is lacking. Using a new predictor discovery method, here we show that the depth of 20 degree isotherm (D20) is least influenced by atmospheric noise and that the 18-month lead forecasts of ISMR have high potential skill (r = 0.86). The high potential predictability is due to smaller initial errors associated with the 18-month lead initial conditions and their slow growth associated with the El Nino and Southern Oscillation (ENSO). The potential skill arises not only from the correlation between ISMR and large-scale slowly varying D20 but also contributed significantly by that with the interannual small-scale D20 anomalies indicating a seminal role of the nonlinearity on the potential predictability. It is, therefore, imperative that a nonlinear predictor discovery as well as nonlinear prediction model is essential for realizing this potential predictability., Comment: 44 pages, 6 figures, 11 extended figures, 1 table

Published
2021

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