P Sreeraj
Biographic Data
| ID | 7992498 |
|---|---|
| NAME | P Sreeraj |
| GIVEN NAMES | P |
| FAMILY NAME | Sreeraj |
| SIGNATURE | SREERAJ P |
| AFFILIATIONS | Indian Institute of Tropical Meteorology |
| ORCID | 0000-0002-4233-6202 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Improved storm surge prediction and extreme sea level future projections in the Indian Ocean using deep learning
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 …
A probabilistic forecast for multi-year Enso using Bayesian convolutional neural network
A robust El Niño Southern Oscillation (ENSO) prediction is essential for monitoring the global climate, regional monsoons, and weather extremes. Despite dedicated efforts spanning decades, the precise prediction of ENSO events through numerical modeling beyond a couple of seasonal lead times remains a daunting challenge. The advent of deep learning-based approaches marks a transformative era in climate and weather prediction. However, many machin…
Extreme sea level rise along the Indian Ocean coastline
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
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…
A probabilistic forecast for multi-year Enso using Bayesian convolutional neural network
A robust El Niño Southern Oscillation (ENSO) prediction is essential for monitoring the global climate, regional monsoons, and weather extremes. Despite dedicated efforts spanning decades, the precise prediction of ENSO events through numerical modeling beyond a couple of seasonal lead times remains a daunting challenge. The advent of deep learning-based approaches marks a transformative era in climate and weather prediction. However, many machin…
Improved storm surge prediction and extreme sea level future projections in the Indian Ocean using deep learning
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) · Meteorology (2 works) · Oceanographic and Atmospheric Processes (2 works) · Oceanography (2 works) · Storm (2 works) · Storm surge (2 works) · Tropical and Extratropical Cyclones Research (2 works)