Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …

It is well acknowledged that there are large uncertainties associated with radar-based
estimates of rainfall. Numerous sources of these errors are due to parameter estimation, the …

A new retrospective satellite-based precipitation dataset is constructed as a climate data
record for hydrological and climate studies. Precipitation Estimation from Remotely Sensed …

Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating
Capabilities in: Bulletin of the American Meteorological Society Volume 97 Issue 4 (2016) …

The National Mosaic and Multi-sensor QPE (Quantitative Precipitation Estimation), or “NMQ”,
system was initially developed from a joint initiative between the National Oceanic and …

Assessment and Implications of NCEP Stage IV Quantitative Precipitation Estimates for Product
Intercomparisons in: Weather and Forecasting Volume 31 Issue 2 (2016) Jump to Content …

Water resources management, forecasting, and decision making require reliable estimates
of precipitation. Extreme precipitation events are of particular importance because of their …

Ground‐based and satellite‐based lightning locating systems are the most common ways to
detect and geolocate lightning. Depending upon the frequency range of operation, LLSs …

Dense networks of short-range radars capable of mapping storms and detecting
atmospheric hazards are described. Composed of small X-band (9.4 GHz) radars spaced …

Applications of weather radar data to complex orography are manifold, as are the problems.
The difficulties start with the choice of suitable locations for the radar sites and their …