MOP1.PS: Data Assimilation and Numerical Weather Forecasting
Monday, 4 August, 14:15 - 15:45
Location: Poster Area
Session Type: Poster
Track: Atmosphere Applications
Poster Area

MOP1.PS.1: Potential of Radar-Based Nowcasting during Extreme Rainfall Events during Kerala Floods, India

Parvathy Thankachy P, Vaibhav Tyagi, Lekhraj Saini, Kavita Meena, Saurabh Das, Indian Institute of Technology Indore, India
Poster Area

MOP1.PS.2: The role of satellite observations and model resolution in enhancing the predictions of tropical cyclones

Isaac Moradi, University of Maryland, United States; Satya Kalluri, NOAA, United States
Poster Area

MOP1.PS.4: PSEUDO-WARMING EXPERIMENT OF HEAVY RAINFALL IN ARID REGIONS : A CASE STUDY OF IRAN

Yuhi Yoshino, Ryota Nakamura, Niigata University, Japan; Mahya Hoseini, K.N.Toosi University of Technology, Iran; Sunao Matsunaga, Niigata University, Japan; Mohsen Soltanpour, K.N.Toosi University of Technology, Iran
Poster Area

MOP1.PS.6: Construction of Global Land Surface Microwave Emissivity Atlas and Simulation of All Sky and All Surface Microwave Emissivity

Yonghong Liu, Fuzhong Weng, Center for Earth System Modeling and Prediction, China Meteorological Administration, China; Fei Tang, Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, China; Rui Li, School of Earth and Space Sciences, University of Science and Technology of China, China; Yang Han, Jun Yang, Center for Earth System Modeling and Prediction, China Meteorological Administration, China
Poster Area

MOP1.PS.7: Bias Correction of Wind Forecasts from the NOAA Global Ensemble Forecast System (GEFS) Using Machine Learning

Qianya Zhu, Haonan Chen, Colorado State University, United States
Poster Area

MOP1.PS.8: Investigating the optimal spatial resolution for assimilating ground-based GNSS atmospheric parameters to enhance weather nowcasting

Zhenzhen Peng, Monash University, Australia; Haobo Li, RMIT University, Australia
Poster Area

MOP1.PS.9: Automating Earth-system ML workflow towards reproducible sub-seasonal to seasonal forecasting benchmarking

Takuya Kurihana, Valentine Anantharaj, Moetasim Ashfaq, Oak Ridge National Laboratory, United States