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Ting-Chi Wu
Ting-Chi Wu
Cooperative Institute for Research in the Atmosphere
Atmospheric sciences
Data assimilation
Meteorology
Water vapor
Mathematics
13
Papers
38
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Assimilating GOES-R Latent Heating in FV3 using Machine Learning
2020
Yoonjin Lee
Kyle Hilburn
Milija Zupanski
Ting-Chi Wu
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RAMS-MLEF Atmosphere-Aerosol Coupled Data Assimilation: A Case Study of A Dust Event over the Arabian Peninsula on 4 August 2016
2018
Atmospheric Chemistry and Physics
Ting-Chi Wu
Milija Zupanski
Stephen M. Saleeby
Anton Kliewer
Lewis D. Grasso
Qijing Bian
Samuel A. Atwood
Yi Wang
Jun Wang
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Improvements to Cloud-Top Brightness Temperatures Computed from the CRTM at 3.9 μm
2018
Monthly Weather Review
Lewis D. Grasso
Daniel T. Lindsey
Yoo-Jeong Noh
Christopher O’Dell
Ting-Chi Wu
Fanyou Kong
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Advancing Littoral Zone Aerosol Prediction via Holistic Studies in Regime-Dependent Flows: August 3-9, 2016 Middle East Dust Event
2017
Jeremy E. Solbrig
Steven D. Miller
S. C. van den Heever
Sonia M. Kreidenweis
Min Oo
Milija Zupanski
Jianglong Zhang
Jun Wang
Robert E. Holz
Steven Albers
Louie Grasso
A. Kliewer
J. Bukowski
Jungmin Park
Stephen M. Saleeby
Ting-Chi Wu
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The GSI capability to assimilate TRMM and GPM hydrometeor retrievals in HWRF
2016
Quarterly Journal of the Royal Meteorological Society
Ting-Chi Wu
Milija Zupanski
Lewis D. Grasso
Paula J. Brown
Christian D. Kummerow
John A. Knaff
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Citations (9)
1