TH2.R1.4
Analysing the spatiotemporal evolution of major climate indices contribution to seasonal–decadal rainfall variability over the Murray-Darling Basin (1904-2023)
Maryam Tabatabaeiasl, Sten Claessens, Curtin University, Australia; Joseph Awange, The Hong Kong Polytechnic University, Australia; Mehdi Khaki, University of Newcastle, Australia; Jielong Wang, The Hong Kong Polytechnic University, Australia
Session:
TH2.R1: Theory and Applications of Precipitation Remote Sensing Oral
Track:
Atmosphere Applications
Location:
Morgan
Presentation Time:
Thursday, 13 August, 11:45 - 12:00
Session Co-Chairs:
Kwo-Sen Kuo, University of Maryland, College Park and Robert Schrom, University of Maryland, College Park and Chandra V Chandrasekar, Colorado State university
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Session TH2.R1
TH2.R1.1: Estimates of ice particle mass-dimensional relations from imaging probes
Robert Schrom, Kwo-Sen Kuo, University of Maryland, College Park, United States
TH2.R1.2: DEEP LEARNING SUPER RESOLUTION FOR SATELLITE CLOUD MASK DOWNSCALING
Angelos Georgakis, Valentina Kanaki, Giorgos Giannopoulos, Stella Girtsou, Ioannis Kontogiorgakis, Charalampos Kontoes, NATIONAL OBSERVATORY OF ATHENS, Greece; Kostas Philippopoulos, National and Kapodistrian University of Athens, Greece
TH2.R1.3: Cross-Validation for EarthCARE Cloud Profiling Radar (CPR) using Ground Based Observations
Minda Le, V. chandrasekar, colorado state university, United States
TH2.R1.4: Analysing the spatiotemporal evolution of major climate indices contribution to seasonal–decadal rainfall variability over the Murray-Darling Basin (1904-2023)
Maryam Tabatabaeiasl, Sten Claessens, Curtin University, Australia; Joseph Awange, The Hong Kong Polytechnic University, Australia; Mehdi Khaki, University of Newcastle, Australia; Jielong Wang, The Hong Kong Polytechnic University, Australia
TH2.R1.5: Machine Learning Based Hydrometeor Classification for Dual-Polarization Radar
Songjian Tan, Haonan Chen, V. Chandrasekar, Colorado State University, United States
Resources
No resources available.