Sea level rise along the coast of Bangladesh under different climate scenarios

The low-lying coastal plain of Bangladesh is highly vulnerable to flooding, sea level rise (SLR), and vertical land motion. Tounderstand SLR dynamics, IWM, in collaboration with the UK Met Office, conducted a comprehensive study analyzing zonal and seasonal variations under different climate change scenarios. The research also examines the influence of freshwater inflows from the Ganges, Brahmaputra, and Meghna basins on local SLR. Using the MIKE modeling system - comprising the Basin Model, National River Model, and Bay of Bengal Model - the study simulated basin flows and seasonal variations under various greenhouse gas emission scenarios. The National River Model generated boundary flows and water levels for the Bay of Bengal Model, which estimated SLR along the coastline. Results show that future precipitation and temperature changes will significantly affect river flows, especially during winter when increased precipitation drives higher runoff. Under medium and high emission scenarios, projected SLRs are approximately 0.19 m and 0.32 m by 2045 and 2061, and 0.46 m and 0.61 m by 2093 and 2090, respectively, compared to 2006. Regional projections for three Bangladeshi coastal locations range between 0.14 m and 0.74 m, slightly lower than the global range of 0.17 m to 0.84 m. The findings align with Bangladesh Delta Plan estimates (0.2-1.0 m by 2100) but indicate less variability in the northern Bay of Bengal compared to global projections. This study underscores the critical need for integrating localized SLR dynamics into coastal management and adaptation planning for Bangladesh.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-08
DOI
https://doi.org/10.5281/zenodo.17854984
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sea level rise along the coast of Bangladesh under different climate scenarios

Zenodo (CERN European Organization for Nuclear Research)
Coastal wetland ecosystem dynamics
article

Sea level rise along the coast of Bangladesh under different climate scenarios

article en

Abstract

The low-lying coastal plain of Bangladesh is highly vulnerable to flooding, sea level rise (SLR), and vertical land motion. Tounderstand SLR dynamics, IWM, in collaboration with the UK Met Office, conducted a comprehensive study analyzing zonal and seasonal variations under different climate change scenarios. The research also examines the influence of freshwater inflows from the Ganges, Brahmaputra, and Meghna basins on local SLR. Using the MIKE modeling system - comprising the Basin Model, National River Model, and Bay of Bengal Model - the study simulated basin flows and seasonal variations under various greenhouse gas emission scenarios. The National River Model generated boundary flows and water levels for the Bay of Bengal Model, which estimated SLR along the coastline. Results show that future precipitation and temperature changes will significantly affect river flows, especially during winter when increased precipitation drives higher runoff. Under medium and high emission scenarios, projected SLRs are approximately 0.19 m and 0.32 m by 2045 and 2061, and 0.46 m and 0.61 m by 2093 and 2090, respectively, compared to 2006. Regional projections for three Bangladeshi coastal locations range between 0.14 m and 0.74 m, slightly lower than the global range of 0.17 m to 0.84 m. The findings align with Bangladesh Delta Plan estimates (0.2-1.0 m by 2100) but indicate less variability in the northern Bay of Bengal compared to global projections. This study underscores the critical need for integrating localized SLR dynamics into coastal management and adaptation planning for Bangladesh.

Zenodo (CERN European Organization for Nuclear Research)
Met Office (GB), Institute of Water Modelling (BD), University of Rajshahi (BD)
Life below water
Openalex Percentile: Top 35%
Coastal wetland ecosystem dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.