TU4.P4.2
MONITORING LAND VEGETATION FROM FENGYUN-4 ADVANCED GEOSTATIONARY RADIATION IMAGER (AGRI) OBSERVATIONS
Xiuzhen Han, Shengqi Li, CMA National Satellite Meteorological Center, China
Session:
TU4.P4: Innovative Sciences and Technologies Developed for Detecting Severe Storms and Their Devastating Impacts on Life and Properties II Oral
Track:
Community-Contributed Sessions
Location:
Room P4
Presentation Time:
Tuesday, 5 August, 16:00 - 16:15
Presentation
Discussion
Resources
No resources available.
Session TU4.P4
TU4.P4.1: A MYSTERY OF THE INCONSISTENCY BETWEEN MICROWAVE POLARIMETRIC OBSERVATIONS AND RADIATIVE TRANSFER SIMULATIONS
Ziqiang Zhu, Fuzhong Weng, Earth System Modeling and Prediction Centre, China
TU4.P4.2: MONITORING LAND VEGETATION FROM FENGYUN-4 ADVANCED GEOSTATIONARY RADIATION IMAGER (AGRI) OBSERVATIONS
Xiuzhen Han, Shengqi Li, CMA National Satellite Meteorological Center, China
TU4.P4.4: INCREMENTAL LEARNING FOR POST-PROCESSING NWP MODEL TO DETECT WEATHER PHENOMENA
Marco Di Giacomo, Lorenzo G. Papale, Dario Cappelli, Tor Vergata University of Rome, Italy; Francesca Marcucci, CNMCA, Italy; Mario Papa, Geo-K, Italy; Fabio Del Frate, Tor Vergata University of Rome, Italy; Marios Tzouvaras, ERATOSTHENES Centre of Excellence, Cyprus
TU4.P4.5: RELIABLE SATELLITE-BASED FLOOD INFORMATION COULD HELP MITIGATE THE DESTRUCTIVE IMPACTS OF CATASTROPHIC HURRICANE FLOODING
Donglian Sun, George Mason University, United States; Satya Kalluri, NOAA, United States; Tianshu Yang, Sanmei Li, Meng Yuan, George Mason University, United States; Amit Misra, Microsoft, United States; Pingping Xie, NOAA, United States; Andrew Lomax, NESDIS, United States; Lihang Zhou, NOAA, United States
Resources
No resources available.