AI-based accuracy improvement of precipitation mapping for the Korean Peninsula

Category

Published in:

Abstracts of the ICA
Vol. 10.2025 (15.12.2025), art. no. 223, p. 1-2

Volume:

10.2025

Publication date:

15.12.2025

URN:

urn:nbn:de:0307-20260401-004-6

DOI:

10.5194/ica-abs-10-223-2025

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-2, 686,24 kB) : 1 Textdatei (PDF)

Keywords:

Global Precipitation Measuremet; GPM; Local Data Assimilation and Prediction System; LDAPS; Radar^GND; Automated Surface Observing System; ASOS; Random Forest^GND; Globales Niederschlagsmesssystem; Lokales Datenassimilations- und Vorhersagesystem; Automatisiertes Bodenbeobachtungssystem

Geographic:

Korean Peninsula
Koreanische Halbinsel

Geographic coordinates:

123.92578125 32.76510611841506...

OpenStreetMap

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-10-223-2025

URL:

https://ica-abs.copernicus.org/articles/10/223/2025/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/10/223/2025/ica-abs-10-223-2025.pdf

Hosting institution:

Pukyong National University (PKNU) [KR]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

Hyoju Park, Yangwon Lee

Bibliographic notes:

Published in: Abstracts of the ICA, Volume 10, 2025 - 32nd International Cartographic Conference (ICC 2025); 17–22 August 2025, Vancouver, Canada; Editors: Mir Abolfazl Mostafavi, Jonathan Li, and Emmanuel Stefanakis | https://ica-abs.copernicus.org/articles/10/index.html