Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification

Similarities and Improvements of GPM Dual-Frequency Precipitation Radar (DPR) upon TRMM Precipitation Radar (PR) in Global Precipitation Rate Estimation, Type Classification and Vertical Profiling

Spaceborne precipitation radars are powerful tools used to acquire adequate and highquality precipitation estimates with high spatial resolution for a variety of applications in hydrological research. The Global Precipitation Measurement (GPM) mission, which deployed the first spaceborne Kaand Ku-dual frequency radar (DPR), was launched in February 2014 as the upgraded successor of the Tropical...

Radar-based quantitative precipitation estimation over arid, semi- arid and Mediterranean climate regimes in Israel

1 Introduction Accurate quantitative precipitation estimation (QPE) is one of the most important elements in meteorological and hydrologic analyses. It has been long recognized, however, that rain gauge networks are usually inadequate because of their limited distribution. During the last decades intense scientific efforts have been devoted to utilize remote sensing information for the estimati...

Precipitation estimation over radar gap areas based on satellite and adjacent radar observations

Continuous rainfall measurements from groundbased radars are crucial for monitoring and forecasting heavy rainfall-related events such as floods and landslides. However, complete coverage by ground-based radars is often hampered by terrain blockage and beam-related errors. In this study, we presented a method to fill the radar gap using surrounding radar-estimated precipitation and observations...

Quantitative Precipitation Estimation and Quantitative Precipitation Forecasting by the Japan Meteorological Agency

Incorporating Satellite Precipitation Estimates into a Radar-Gauge Multi-Sensor Precipitation Estimation Algorithm

Yuxiang He 1,2,* ID , Yu Zhang 3, Robert Kuligowski 4, Robert Cifelli 5 and David Kitzmiller 1 1 Office of Water Prediction (OWP), National Weather Service (NWS), NOAA, Silver Spring, MD 20910, USA; [email protected] 2 University Corporation for Atmospheric Research (UCAR), Boulder, CO 80307, USA 3 University of Texas at Arlington, Arlington, Texas 76019, USA; [email protected] 4 NOAA/NE...