TUP.P31.1

MODELING OF MEAN TROPOSPHERIC TEMPERATURE FROM CONVOLUTIONAL NEURAL NETWORKS

Diego Brum, Vale do Rio dos Sinos University-Unisinos, Brazil; Vinicius Francisco Rofatto, Federal University of Uberlândia-UFU, Brazil; Leonardo Scalco, Vale do Rio dos Sinos University-Unisinos, Brazil; Rafaela de Oliveira Pena, Federal University of Uberlândia-UFU, Brazil; Luiz Gonzaga Jr, Daniel C. Zanotta, Vale do Rio dos Sinos University-Unisinos, Brazil; Luiz Fernando Sapucci, Brazilian Institute of Space Research (INPE), Brazil; Mauricio Roberto Veronez, Vale do Rio dos Sinos University-Unisinos, Brazil
Session:
TUP.P31: Meteorology and Climate Poster
Track:
Atmosphere Applications
Location:
Poster Area 31
Presentation Time:
Tue, 18 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
John Kerekes, Rochester Institute of Technology
Session Managers:
Ge Jiang and Lanying Wang and Ayoti Banerjee and Shubham Awasthi
Presentation
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Resources
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Session TUP.P31
TUP.P31.1: MODELING OF MEAN TROPOSPHERIC TEMPERATURE FROM CONVOLUTIONAL NEURAL NETWORKS
Diego Brum, Vale do Rio dos Sinos University-Unisinos, Brazil; Vinicius Francisco Rofatto, Federal University of Uberlândia-UFU, Brazil; Leonardo Scalco, Vale do Rio dos Sinos University-Unisinos, Brazil; Rafaela de Oliveira Pena, Federal University of Uberlândia-UFU, Brazil; Luiz Gonzaga Jr, Daniel C. Zanotta, Vale do Rio dos Sinos University-Unisinos, Brazil; Luiz Fernando Sapucci, Brazilian Institute of Space Research (INPE), Brazil; Mauricio Roberto Veronez, Vale do Rio dos Sinos University-Unisinos, Brazil
TUP.P31.2: PREDICTING EXTREME CLIMATE IN THE YELLOW RIVER DELTA REGION BASED ON STATISTICAL DOWNSCALING AND DECISION TREE MODEL
Ping Zhang, Xiangguang Meng, Shizhe Yin, Huachang Jiang, Jilin University, China
TUP.P31.3: INSAR VS GNSS METEOROLOGY: HOW IMPORTANT IS THE SPATIAL DENSITY OF MEASUREMENTS?
Pedro Mateus, Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa (FCUL), Portugal; Giovanni Nico, Istituto per le Applicazioni del Calcolo (IAC), Consiglio Nazionale delle Ricerche (CNR), Italy; João Catalão, Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa (FCUL), Portugal
TUP.P31.4: MESO-SCALE STANDARD EVAPOTRANSPIRATION ‘CLIMATE’ CLASSIFICATION DERIVED FROM NUMERICAL WEATHER PREDICTION MODELS AND ARTIFICIAL INTELLIGENCE
Israel Pineda, Universidad San Francisco de Quito, Ecuador; Elisa Piispa, University of Iceland, Iceland; Scott Williams, New Mexico State University, United States; Maria Solis-Aulestia, Canegrowers Innisfail District, Australia
TUP.P31.5: ESTIMATION OF REGIONAL AIR POLLUTION IN XUZHOU CITY BASED ON WRF-CHEM MODEL
Wenhao Liu, Yong Xue, Xiaolu Ling, Jian Gao, Zeyu Tang, Shuhui Wu, Botao He, China University of Mining and Technology, China
TUP.P31.6: COMPARATIVE STUDY OF VARIOUS COMPONENTS OF ATMOSPHERIC GRADIENT IN RELATION TO RAINFALL OVER A REGION
Anik Naha Biswas, Yee Hui Lee, Ding Yu Heh, Nanyang Technological University, Singapore, Singapore; Shilpa Manandhar, Agency for Science, Technology and Research (A*STAR), Singapore
Resources
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