Severe weather with heavy precipitation could bring unexpected hydrometeorological hazards, such as flash floods or landslides, which might become disasters that could cause significant injuries, deaths, infrastructure damage, transportation paralysis, and/or many other problems. These natural hazards occur all over the world, although their frequency and intensity are quite different from region to region. Therefore, it is critically important to accurately monitor and estimate the heavy precipitation so that the occurrence and intensity of associated hydrometeorological hazards can be well identified, detected, and forecasted. Currently, the most powerful technique to monitor/research the severe weather is through remote sensing (e.g., radar, satellite). Associated observations on the ground are necessary for calibrating remote sensing products and for providing accurate and high-resolution precipitation estimates and accurate flash flood forecasting and understanding of causation and geophysical process of these natural hazards. However, challenges remain in these research fields, and these difficulties may include the following: 1) how to improve the quality of observations by remote sensing; 2) analysis of remote sensing observations; 3) how to generate accurate radar and satellite quantitative precipitation estimation (QPE); 4) how to improve the skill of quantitative precipitation forecasts (QPF); 5) how to improve the monitoring of the hydrometeorological hazards; and 6) how to improve the skill of warning and forecasts for these hazards?

Based on the difficulties, challenges, and issues in studying extreme precipitation, we solicit high quality, original research contributions from radar meteorology, satellite meteorology, flash flood forecasting, hazards monitoring, and related fields related to research of hydrometeorological hazards.

Potential topics include but are not limited to the following:

• Signal processing of radar (e.g., X-, C-, and S-band) and satellite (e.g., TRMM and GPM) for severe weather detection and estimation
• Quantitative precipitation estimation (QPE) based on radar and satellite measurements
• Data quality control (QC) for radar and satellite precipitation data
• Short term quantitative precipitation forecasts (QPF)
• Multiple QPE products (radar, satellite, and gauge) merging technique and application
• Radar network product development (2D and 3D mosaic) and operational issues
• Database, data visualization, data merging, and data assimilation
• Identification of storm structure and evolution
• Monitoring, warning, and forecasting of flash floods
• Data assimilation of remote sensing and in situ observations for improved land surface modeling
• Hydrometeorological hazard emergency warning, management, and quantitative damage evaluation