Description of a Python script to implement a probabilistic surrogate model for predicting tropical cyclone driven flood depth and extent
Year: 2024
Type: article
Abstract: This document introduces a Python script for generating probabilistic predictions of tropical cyclone (TC) driven coastal flooding.
Source: NOAA Institutional Repository
DOI: 10.25923/wyvn-4405
Authors: Daneshvar, Fariborz, Mani, Soroosh, Pringle, William J., Moghimi, Saeed, Myers, Edward
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: green
OpenAlex ID: W6908273950
FWCI:
Cites:
Cited by:
Related to: