Description of a Python script to implement a probabilistic surrogate model for predicting tropical cyclone driven flood depth and extent

This document introduces a Python script for generating probabilistic predictions of tropical cyclone (TC) driven coastal flooding.

Publication Details

Journal
NOAA Institutional Repository
Published
2024-10-11
DOI
https://doi.org/10.25923/wyvn-4405
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Description of a Python script to implement a probabilistic surrogate model for predicting tropical cyclone driven flood depth and extent

NOAA Institutional Repository
Tropical and Extratropical Cyclones Research
article

Description of a Python script to implement a probabilistic surrogate model for predicting tropical cyclone driven flood depth and extent

article en

Abstract

This document introduces a Python script for generating probabilistic predictions of tropical cyclone (TC) driven coastal flooding.

NOAA Institutional Repository
Climate action
Openalex Percentile: Top 67%
Tropical and Extratropical Cyclones Research
DOIOpen Access PDFOpenAlex
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.

Description of a Python script to implement a probabilistic surrogate model for predicting tropical cyclone driven flood depth and extent · NOAA Institutional Repository (2024) | TGRS Research Map | TGRS