JpGU-AGU Joint Meeting 2026

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-TT Technology &Techniques

[A-TT49] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

Wed. May 27, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

5:15 PM - 7:00 PM

[ATT49-P03] GNSS-R Wind Speed Retrieval under High Wind Conditions:
A Neural Network Approach with TRITO

*ZAN HAN HUANG1, SHIH-CHIAO TSAI1, ChihYing Chen2, KO-FENG LO1 (1. National Defense University, 2. Academia Sinica)

Keywords:TRITON, mean square slope(MSS), ERA5, NCEPGFS, feedforward neural network(FNN), CCMP