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TY  - JOUR
AU  - Rüttgers, Mario
AU  - Jeon, Soohwan
AU  - Lee, Sangseung
AU  - You, Donghyun
TI  - Prediction of Typhoon Track and Intensity Using a Generative Adversarial Network With Observational and Meteorological Data
JO  - IEEE access : practical research, open solutions
VL  - 10
SN  - 2169-3536
CY  - New York, NY
PB  - IEEE
M1  - RWTH-2022-05400
SP  - 48434-48446
PY  - 2022
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000793810600001
DO  - DOI:10.1109/ACCESS.2022.3172301
UR  - https://publications.rwth-aachen.de/record/847507
ER  -