@article{fdi:010082780,
  title = {{T}owards an efficient storm surge and inundation forecasting system over the {B}engal delta : chasing the {S}upercyclone {A}mphan},
  author = {{K}han, {M}. {J}. {U}. and {D}urand, {F}abien and {B}ertin, {X}. and {T}estut, {L}. and {K}rien, {Y}. and {I}slam, {A}. {K}. {M}. {S}. and {P}ezerat, {M}. and {H}ossain, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {B}ay of {B}engal is a well-known breeding ground to some of the deadliest cyclones in history. {D}espite recent advancements, the complex morphology and hydrodynamics of this large delta and the associated modelling complexity impede accurate storm surge forecasting in this highly vulnerable region. {H}ere we present a proof of concept of a physically consistent and computationally efficient storm surge forecasting system tractable in real time with limited resources. {W}ith a state-of-the-art wave-coupled hydrodynamic numerical modelling system, we forecast the recent {S}upercyclone {A}mphan in real time. {F}rom the available observations, we assessed the quality of our modelling framework. {W}e affirmed the evidence of the key ingredients needed for an efficient, real-time surge and inundation forecast along this active and complex coastal region. {T}his article shows the proof of the maturity of our framework for operational implementation, which can particularly improve the quality of localized forecast for effective decision-making over the {B}engal delta shorelines as well as over other similar cyclone-prone regions.},
  keywords = {{INDIE} ; {BANGLADESH} ; {BENGALE} {BAIE}},
  booktitle = {},
  journal = {{N}atural {H}azards and {E}arth {S}ystem {S}ciences},
  volume = {21},
  numero = {8},
  pages = {2523--2541},
  ISSN = {1561-8633},
  year = {2021},
  DOI = {10.5194/nhess-21-2523-2021},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082780},
}