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P Swapna

Biographic Data

ID7998463
NAMEP Swapna
GIVEN NAMESP
FAMILY NAMESwapna
SIGNATURESWAPNA P
AFFILIATIONSIndian Institute of Tropical Meteorology
ORCID0000-0002-7441-7496
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Arctic sea-ice decline causes intense summer monsoon precipitation events over South Asia under greenhouse warming

    Open Access•N Sandeep, Sandeep Narayanasetti et al.•ARTICLE•Environmental Research Letters•2025

    Arctic sea-ice decline has been accelerating under greenhouse warming. In this study, we investigate the tropical precipitation response to declining Arctic sea-ice using observations and climate model simulations. Observational evidence and idealized model experiments in which the Arctic becomes seasonally ice free under greenhouse warming reveal association between the Arctic sea-ice decline and intense precipitation events (IPEs) over South As…

  • Improved storm surge prediction and extreme sea level future projections in the Indian Ocean using deep learning

    Open Access•P Sreeraj, P Swapna et al.•ARTICLE•Environmental Research Letters•2025

    Accurate storm surge and extreme sea level (ESL) prediction is crucial for effective coastal flood monitoring and hazard management. However, dynamical models for the Indian Ocean often exhibit significant biases compared to historic tide gauge (TG) based sea level records, highlighting the need for improved methods. To address this gap, we applied a long short-term memory (LSTM) deep learning network to reconstruct hourly storm surges across 29 …

  • Extreme sea level rise along the Indian Ocean coastline

    Open Access•P Sreeraj, P Swapna et al.•ARTICLE•Environmental Research Letters•2022

    Anthropogenic sea-level rise poses challenges to coastal areas globally. The combined influence of rising mean sea level (MSL) and storm surges exacerbate the extreme sea level (ESL). Increasing ESL poses a major challenge for climate change adaptation of nearly 2.6 billion inhabitants in the Indian Ocean region. Yet, knowledge about past occurrences of ESL and its progression is limited. Combining multiple tide-gauge and satellite-derived sea-le…

No prominent works on this page.

  • Extreme sea level rise along the Indian Ocean coastline

    Open Access•P Sreeraj, P Swapna et al.•ARTICLE•Environmental Research Letters•2022

    Anthropogenic sea-level rise poses challenges to coastal areas globally. The combined influence of rising mean sea level (MSL) and storm surges exacerbate the extreme sea level (ESL). Increasing ESL poses a major challenge for climate change adaptation of nearly 2.6 billion inhabitants in the Indian Ocean region. Yet, knowledge about past occurrences of ESL and its progression is limited. Combining multiple tide-gauge and satellite-derived sea-le…

  • Arctic sea-ice decline causes intense summer monsoon precipitation events over South Asia under greenhouse warming

    Open Access•N Sandeep, Sandeep Narayanasetti et al.•ARTICLE•Environmental Research Letters•2025

    Arctic sea-ice decline has been accelerating under greenhouse warming. In this study, we investigate the tropical precipitation response to declining Arctic sea-ice using observations and climate model simulations. Observational evidence and idealized model experiments in which the Arctic becomes seasonally ice free under greenhouse warming reveal association between the Arctic sea-ice decline and intense precipitation events (IPEs) over South As…

  • Improved storm surge prediction and extreme sea level future projections in the Indian Ocean using deep learning

    Open Access•P Sreeraj, P Swapna et al.•ARTICLE•Environmental Research Letters•2025

    Accurate storm surge and extreme sea level (ESL) prediction is crucial for effective coastal flood monitoring and hazard management. However, dynamical models for the Indian Ocean often exhibit significant biases compared to historic tide gauge (TG) based sea level records, highlighting the need for improved methods. To address this gap, we applied a long short-term memory (LSTM) deep learning network to reconstruct hourly storm surges across 29 …

Climatology (3 works) · Environmental Science (3 works) · Geography (3 works) · Geology (3 works) · Oceanography (3 works) · Climate change (2 works) · Global warming (2 works) · Meteorology (2 works) · Oceanographic and Atmospheric Processes (2 works) · Storm (2 works)

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