Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities

Jian Zhang(National Oceanic and Atmospheric Administration), Kenneth W. Howard(National Oceanic and Atmospheric Administration), Carrie Langston(Cooperative Institute for Mesoscale Meteorological Studies), Brian Kaney(Cooperative Institute for Mesoscale Meteorological Studies), Youcun Qi(Cooperative Institute for Mesoscale Meteorological Studies), Lin Tang(Cooperative Institute for Mesoscale Meteorological Studies), Heather M. Grams(Cooperative Institute for Mesoscale Meteorological Studies), Yadong Wang(Cooperative Institute for Mesoscale Meteorological Studies), Stephen B. Cocks(Cooperative Institute for Mesoscale Meteorological Studies), Steven M. Martinaitis(Cooperative Institute for Mesoscale Meteorological Studies), Ami Arthur(Cooperative Institute for Mesoscale Meteorological Studies), Karen Cooper(Cooperative Institute for Mesoscale Meteorological Studies), Jeff W. Brogden(Cooperative Institute for Mesoscale Meteorological Studies), David Kitzmiller
Bulletin of the American Meteorological Society
August 4, 2015
Cited by 655

Abstract

Abstract Rapid advancements of computer technologies in recent years made the real-time transferring and integration of high-volume, multisource data at a centralized location a possibility. The Multi-Radar Multi-Sensor (MRMS) system recently implemented at the National Centers for Environmental Prediction demonstrates such capabilities by integrating about 180 operational weather radars from the conterminous United States and Canada into a seamless national 3D radar mosaic with very high spatial (1 km) and temporal (2 min) resolution. The radar data can be integrated with high-resolution numerical weather prediction model data, satellite data, and lightning and rain gauge observations to generate a suite of severe weather and quantitative precipitation estimation (QPE) products. This paper provides an overview of the initial operating capabilities of MRMS QPE products.


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