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1
Uncertainty Quantification of Multi-Satellite Precipitation..:
, In:
2023 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)
,
Wang, Liping
;
Chen, Yun-Lan
;
Chen, Haonan
.. - p. 218-219 , 2023
Link:
https://doi.org/10.23919/USNC-URSINRSM57470.2023.10043..
RT T1 <cTitle>2023 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)</cTitle>: T1 <Title>Uncertainty Quantification of Multi-Satellite Precipitation Products with Deep Learning: A Case Study over Taiwan</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10043170&Exemplar=1&LAN=DE A1 Wang, Liping A1 Chen, Yun-Lan A1 Chen, Haonan A1 Chen, Chia-Rong A1 Liao, Wen-Wei Tony YR 2023 K1 Training K1 Precipitation K1 Uncertainty K1 Rain K1 Satellite broadcasting K1 Estimation K1 Sensor phenomena and characterization SP 218 OP 219 LK http://dx.doi.org/https://doi.org/10.23919/USNC-URSINRSM57470.2023.10043170 DO https://doi.org/10.23919/USNC-URSINRSM57470.2023.10043170 SF ELIB - SuUB Bremen
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