Session Data Assimilation Methodology Advancement for Numerical Weather Prediction


Papers:
Impacts of Implementing a New GNSS-RO Quality Control and Error Model on Global Numerical Weather Prediction at NOAA
Christopher P. Riedel, UCAR/CAPESS@OAR/ORTA/QOSAP, Norman, OK; and J. Sjoberg, R. A. Anthes, L. Cucurull, and X. Li

Advancements in Convective-Scale Meteorological Data Assimilation: Integrating FY4A AGRI Radiances with the MOTOR-DA System
Yali Wu, Shenzhen Institute of Meteorological Innovation, Shenzhen, Guangdong, China; and Y. N. Xie and Z. Qin

Leveraging Multi-Scale Radar Data Assimilation to Investigate Multi-Scale Convection Events in Taiwan
Lawrence Jing-Yueh Liu, National Central University, Zhongli Dist., Taoyuan City, Taiwan; and S. C. Yang, H. L. Yeh, K. J. Lin, and P. L. Chang

Hybrid Gain Data Assimilation in the Taiwan Global Forecast System (TGFS)
Chih-Chien Chang, National Central University, Taoyuan City, Taiwan, Taiwan; and S. C. Yang and G. Y. Lien

Scalability and Forecast Impact when Varying Spatial Resolution, Ensemble Size and Observation Density in an Operational LETKF-based Ensemble Prediction System
Mark Buehner, Environment and Climate Change Canada, Dorval, QC, Canada; and S. J. Baek, E. Lapalme, and J. F. Caron

Submission Deadline: Thursday, 31 August 2023



See more of: 28th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Ocean, and Land Surface
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