MO4.P4.3
Evaluation of Microwave Land Surface Emissivity Retrieval Method
Jiaxin Tian, China Meteorological Administration Earth System Modeling And Prediction center, China
Session:
MO4.P4: Data Assimilation of Remote Sensing Data Oral
Track:
Community-Contributed Sessions
Location:
Room P4
Presentation Time:
Monday, 4 August, 16:15 - 16:30
Presentation
Discussion
Resources
No resources available.
Session MO4.P4
MO4.P4.1: Simulation and Assimilation of Carbon Dioxide Concentration in The Pearl River Delta Region Based on WRF-Chem
Wenhao Liu, China University of Mining and Technology, China; Yong Xue, Nanjing University of Information Science & Technology, China; Xiaolu Ling, Chenggang Li, Botao He, Liying Han, China University of Mining and Technology, China
MO4.P4.2: Evaluating the Role of Preprocessing in AMSR-E/2 Soil Moisture Data Assimilation
Visakh Sivaprasad, Johannes Keller, Forschungszentrum Jülich, Germany; Yorck Ewerdwalbesloh, Anne Springer, University of Bonn, Germany; Harry Vereecken, Carsten Montzka, Forschungszentrum Jülich, Germany
MO4.P4.3: Evaluation of Microwave Land Surface Emissivity Retrieval Method
Jiaxin Tian, China Meteorological Administration Earth System Modeling And Prediction center, China
MO4.P4.4: ACCURACY ASSESSMENT OF VERTICAL SOIL MOISTURE DISTRIBUTION DERIVED THROUGH DATA-DRIVEN APPROACHES AND AN ASSIMILATION-ENHANCED PHYSICAL MODEL USING P- AND L-BAND RADIOMETRY
Richa Prajapati, Indian Institute of Technology Bombay and Monash University, India; Foad Brakhasi, Jeffrey Walker, Monash University, Australia; Jayaluxmi Indu, Indian Institute of Technology Bombay, Australia
MO4.P4.5: Improving land carbon flux modelling by refining vegetation dynamics and assimilating soil moisture
Yuhui Wu, Hui Lu, Jiaxin Tian, Tsinghua University, China
Resources
No resources available.