TUP.P34: Meteorology and Climate
Tue, 18 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 34
Session Type: Poster
Session Chair: John Kerekes, Rochester Institute of Technology
Track: Atmosphere Applications

TUP.P34.1: MODELING OF MEAN TROPOSPHERIC TEMPERATURE FROM CONVOLUTIONAL NEURAL NETWORKS

Diego Brum, Leonardo Scalco, Luiz Gonzaga Jr, Daniel C. Zanotta, Mauricio Roberto Veronez, Vale do Rio dos Sinos University-Unisinos, Brazil; Vinicius Francisco Rofatto, Rafaela de Oliveira Pena, Federal University of Uberlândia-UFU, Brazil; Luiz Fernando Sapucci, Brazilian Institute of Space Research (INPE), Brazil

TUP.P34.3: INSAR VS GNSS METEOROLOGY: HOW IMPORTANT IS THE SPATIAL DENSITY OF MEASUREMENTS?

Pedro Mateus, João Catalão, 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

TUP.P34.4: 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.P34.5: 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