Development of Dynamic Flood Forecasting Model Based on Large Scale Climatic Information

Lead PI: Hyun-Han Kwon

Unit Affiliation: Columbia Water Center (CWC)

September 2010 - August 2013
Inactive
Asia ; United States ; East Asia
Project Type: Research

DESCRIPTION: This project aims to develop a statistically based inference and modeling system for the conditional simulation of floods given climate attributes.

OUTCOMES: A stochastic modeling strategy for a comprehensive risk assessment with uncertainty estimation and the capacity to simulate risk under changing climate conditions, preserve spatial correlation for portfolio risk analysis

SPONSOR:

Chonbuk National University

FUNDED AMOUNT:

$98,364

RESEARCH TEAM:

Upmanu Lall, Rajagopalan Balaji, Naresh Devineni

COLUMBIA UNIVERSITY COLLABORATORS:

International Research Institute for Climate and Society (IRI)

KEYWORDS

floods climate financial instruments risk statistical modeling water

THEMES

Modeling and Adapting to Future Climate