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1 Ergebnisse
1
A Machine Learning Model For Radar Quantitative Precipitati..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Zhou, Ruiyang
;
Gong, Aofan
;
Ni, Guangheng
- p. 3823-3826 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10282719
RT T1
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
: T1
A Machine Learning Model For Radar Quantitative Precipitation Estimation In Beijing, China
UL https://suche.suub.uni-bremen.de/peid=ieee-10282719&Exemplar=1&LAN=DE A1 Zhou, Ruiyang A1 Gong, Aofan A1 Ni, Guangheng YR 2023 SN 2153-7003 K1 Reflectivity K1 Adaptation models K1 Rain K1 Machine learning algorithms K1 Radar measurements K1 Estimation K1 Geoscience and remote sensing K1 weather radar K1 quantitative precipitation estimate K1 Z − R relation K1 machine learning K1 Multi-layer perceptron SP 3823 OP 3826 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10282719 DO https://doi.org/10.1109/IGARSS52108.2023.10282719 SF ELIB - SuUB Bremen
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