MOP.P34: Clouds and Precipitation: Algorithms
Mon, 17 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 34
Session Type: Poster
Session Chair: Sarah Ringerud, NASA GSFC
Track: Atmosphere Applications

MOP.P34.1: Thin-cirrus detection from Artificial Neural Network and IASI-NG

Elisabetta Ricciardelli, Francesco Di Paola, Domenico Cimini, Salvatore Larosa, Filomena Romano, National Research Council of Italy, Italy; Guido Masiello, Pietro Mastro, Carmine Serio, University of Basilicata, Italy; Tim Hultberg, Thomas August, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Germany

MOP.P34.2: CloudSegNet: A DEEP LEARNING BASED SEGMENTATION METHOD FOR CLOUD DETECTION IN MULTISPECTRAL SATELLITE IMAGERY

Manoj Kaushik, ANAGHA S SARMA, Rama Rao Nidamanuri, Indian Institute of Space Science and Technology, India

MOP.P34.3: THIN CLOUD REMOVAL BASED ON THE SORTED SLOW FEATURE ANALYSIS FOR MULTISPECTRAL REMOTELY SENSED IMAGERY

Haitao Lyu, Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, China; Jiang Qian, University of Electronic Science and Technology of China, China

MOP.P34.4: Cloud Detection using Artificial Neural Network Over Snow and Ice Covered Polar Regions During Nighttime for CERES Edition 5

Sunny Sun-Mack, Patrick Minnis, Yan Chen, Gang Hong, Langley NASA / Science Systems and Applications, United States; William Smith Jr, Langley NASA, United States

MOP.P34.5: UNSUPERVISED DOMAIN ADAPTATION USING CYCLE GENERATIVE ADVERSARIAL NETWORKS FOR PRECIPITATION RETRIEVAL FROM SATELLITE MICROWAVE BRIGHTNESS TEMPERATURE IMAGES

Vibolroth Sambath, Natanaël Dubois-Quilici, Nicolas Viltard, Audrey Martini, Cécile Mallet, Laboratoire ATmosphère, Observation Spatiale (LATMOS), France

MOP.P34.6: ANALYZING RAINFALL TIME SERIES THROUGH COMPOSITE AND BINARY FUZZY RELATION OVER NORTH EAST INDIA

Rashmi Rekha Devi, Surajit Chattopadhyay, Amity University Kolkata, India

MOP.P34.7: VERTICAL MULTI-LAYER CLOUD MASK RECONSTRUCTION WITH PHYSICS-INFORMED DEEP NEURAL NETWORKS

Yiding Wang, Leah Ding, American University, United States; Jie Gong, Dong Wu, NASA Goddard Space Flight Center, United States

MOP.P34.8: A MACHINE LEARNING MODEL FOR RADAR QUANTITATIVE PRECIPITATION ESTIMATION IN BEIJING, CHINA

Ruiyang Zhou, Aofan Gong, Guangheng Ni, Tsinghua University, China

MOP.P34.9: THE INITIAL CAPABILITY OF X-BAND POLARIMETRIC RADAR TO GAP-FILL A S-BAND AND C-BAND RADAR NETWORK FOR CONVECTIVE RAINBANDS IN EASTERN CHINA

Yabin Gou, Miao Zhou, Wanlin Kong, Hangzhou Meteorological Bureau, China; Haonan Chen, Colorado University, China