%0 Journal Article %1 zhang2016multiradar %A Zhang, Jian %A Howard, Kenneth %A Langston, Carrie %A Kaney, Brian %A Qi, Youcun %A Tang, Lin %A Grams, Heather %A Wang, Yadong %A Cocks, Stephen %A Martinaitis, Steven %A Arthur, Ami %A Cooper, Karen %A Brogden, Jeff %A Kitzmiller, David %D 2016 %J Bulletin of the American Meteorological Society %K imported %N 4 %P 621-638 %R 10.1175/BAMS-D-14-00174.1 %T Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities %U https://doi.org/10.1175/BAMS-D-14-00174.1 %V 97 %X AbstractRapid 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.

@article{zhang2016multiradar, abstract = { AbstractRapid 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. }, added-at = {2018-07-01T13:42:06.000+0200}, author = {Zhang, Jian and Howard, Kenneth and Langston, Carrie and Kaney, Brian and Qi, Youcun and Tang, Lin and Grams, Heather and Wang, Yadong and Cocks, Stephen and Martinaitis, Steven and Arthur, Ami and Cooper, Karen and Brogden, Jeff and Kitzmiller, David}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2935f38edafeff6de122debc3fac7e5a2/mwigger}, doi = {10.1175/BAMS-D-14-00174.1}, eprint = {https://doi.org/10.1175/BAMS-D-14-00174.1}, interhash = {3076c9e59697fe5373e62c01eabc658b}, intrahash = {935f38edafeff6de122debc3fac7e5a2}, journal = {Bulletin of the American Meteorological Society}, keywords = {imported}, number = 4, pages = {621-638}, timestamp = {2018-09-14T09:59:55.000+0200}, title = {Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities}, url = {https://doi.org/10.1175/BAMS-D-14-00174.1}, volume = 97, year = 2016 }