Global and regional quantitative precipitation estimates (QPEs) are critical for understanding climate variability and hydrometeorological cycles, detecting natural disasters, improving flash flood and weather forecasts, and effectively managing the use of Earth's freshwater resources. However, obtaining accurate QPEs is a challenging task  in many areas of the world due to sparse gauge networks, complex terrain, and global water cycle acceleration. Recent advances in radar and satellite remote sensing of precipitation are progressing rapidly, with the aims of providing accurate and high-resolution precipitation estimates, accurate flash flood forecasting, and understanding the causes and underlying processes of these natural hazards. This session invites high quality, original research contributions from radar and satellite meteorology and associated data sciences, including improved QPE retrievals from satellite and radar remote observations and novel methods to produce multi-sensor QPEs by merging multiple satellite/radar products and/or in-situ observations. Assessments of remotely sensed QPE product performance, as well as demonstrations of the applicability of remotely sensed QPEs for improved weather and hazards forecasting or understanding of hydrometeorological processes are also encouraged.

Submitters:  Janice L. Bytheway, CIRES, Boulder, CO; Haonan Chen, Colorado State University and NOAA Physical Sciences Laboratory, Boulder, CO and Ryan Gonzalez, Department of Atmospheric Science, Colorado State University, Fort Collins, CO