Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Hana Na
Institution:
Inje University
Observed institutions:
Inje University,
Chinese Academy of Sciences,
Institute of Atmospheric Physics
ORCID:
0000-0002-2265-0261
Observed ORCID:
0000-0002-2265-0261
OpenAlex ID:
A5020070119
A Study on the Pre-Survey and Plan for the Establishment of the Korean Typhoon Impact-Based Forecast
2024
·
Hana Na
, Woo-Sik Jung
·
Atmosphere
·
5
PDF
Construction of Typhoon Impact Based Forecast in Korea -Current Status and Composition-
2023
·
Hana Na
, Woo-Sik Jung
·
Journal of Environmental Science International
·
3
Paradigm Shift in Typhoon Forecasting for the Korean Peninsula: A Case Study on the Applicability of the Typhoon-Ready System
2025
·
Hana Na
, Woo-Sik Jung
·
Atmosphere
·
2
PDF
Administrative-District-Level Risk Indices for Typhoon-Induced Wind and Rainfall: Case Studies in Seoul and Busan, South Korea
2025
·
Hana Na
, Woo-Sik Jung
·
Atmosphere
·
1
PDF
Comparative Analysis of Air Pollution in Beijing and Seoul: Long-Term Trends and Seasonal Variations
2025
·
Hana Na
, Woo-Sik Jung
·
Atmosphere
·
1
PDF
Reply on RC1
2026
·
Hana Na
China–Korea Linked Typhoons: A transboundary sequential hazard framework for East Asian tropical cyclones
2026
·
Hana Na
, Woo-Sik Jung
PDF
Typhoon-Induced High PM10 Concentration Events in South Korea: A Comprehensive Analysis of Pre-, During, and Post-Typhoon Periods
2025
·
Hana Na
, Woo-Sik Jung
·
Atmosphere
PDF
Spatial Distribution of Strong Winds on the Korean Peninsula during the Non-Typhoon affecting Period
2021
·
Hana Na
, Woo-Sik Jung
·
Journal of Environmental Science International
Characteristics of Strong Winds on the Korean Peninsula during the Non-typhoon Period: Data Analysis for 116 Years from 1904 to 2019
2021
·
Hana Na
, Woo-Sik Jung
·
Journal of Korean Society for Atmospheric Environment
Characteristics of Monthly Maximum Wind Speed of Typhoons Affecting the Korean Peninsula
2019
·
Hana Na
, Woo-Sik Jung
·
Journal of Environmental Science International
Basic Data Construction for a Typhoon Disaster Prevention Model : Monthly Characteristics of Typhoon Rusa, Maemi, Kompasu, and Bolaven
2019
·
Hana Na
, Woo‐Sik Jung
·
Japan Geoscience Union
Show more works
View as search
Works count:
12
Citation count:
12
H-index:
2
I10-index:
Year
Topic
Type