{"id":14,"date":"2015-10-20T15:56:29","date_gmt":"2015-10-20T20:56:29","guid":{"rendered":"https:\/\/inside.nssl.noaa.gov\/mrms\/?page_id=14"},"modified":"2026-01-30T15:57:06","modified_gmt":"2026-01-30T21:57:06","slug":"publications","status":"publish","type":"page","link":"https:\/\/inside.nssl.noaa.gov\/mrms\/publications\/","title":{"rendered":"Journal Publications"},"content":{"rendered":"

Journal Articles Related to MRMS QPE<\/strong><\/em><\/p>\n

Martinaitis, S. M., J. Anthony, D. Meyer, and S. Rearden, 2025: Examination of STEPS nowcast parameter configurations for use with high-resolution MRMS instantaneous precipitation rates. Wea. Forecasting<\/em>, 40<\/strong>, 2089\u20132110, doi: 10.1175\/WAF-D-24-0240.1<\/a>.<\/p>\n

Osborne, A. P., J. Zhang, M. J. Simpson, K. W. Howard, and S. B. Cocks, 2023: Application of machine learning techniques to improve Multi-Radar Multi-Sensor (MRMS) precipitation estimates in the western United States. Artif. Intell. Earth Syst.<\/i>, 2<\/strong>, 220053, doi: 10.1175\/AIES-D-22-0053.1<\/a>.<\/p>\n

Martinaitis, S. M., S. Lincoln, D. Scholtzhauer, S. B. Cocks, and J. Zhang, 2023: A temporal gauge quality control algorithm as a method for identifying potential instrumentation malfunctions. J. Atmos. Oceanic Technol.<\/i>,\u00a040<\/b>, 265\u2013283, doi: 10.1175\/JTECH-D-22-0038.1<\/a>.<\/p>\n

Hanft, W., J. Zhang, and M. Simpson, 2023: Dual-pol VPR corrections for improved operational radar QPE in MRMS. J. Hydrometeor.<\/em>, 24<\/strong>, 353\u2013371, doi: 10.1175\/JHM-D-22-0010.1<\/a>.<\/p>\n

Ryzhkov, A., P. Zhang, P. Bukovcic, J. Zhang, and S. Cocks, 2022: Polarimetric radar quantitative precipitation estimation. Remote Sensing<\/em>, 14<\/strong>, 1695, doi: 10.3390\/rs14071695<\/a>.<\/p>\n

Gerard, A., S. M. Martinaitis, J. J. Gourley, K. W. Howard, and J. Zhang, 2021: An overview of the performance and operational applications of the MRMS and FLASH systems in recent significant urban flash flood events. Bull. Amer. Meteor. Soc.<\/em>, 102<\/strong>, E2165\u2013E2176, doi:10.1175\/BAMS-D-19-0273.1<\/a>.<\/p>\n

Martinaitis, S. M., S. B. Cocks, M. J. Simpson, A. P. Osborne, S. S. Harkema, H. M. Grams, J. Zhang, K. W. Howard, 2021: Advancements and Characteristics of Gauge Ingest and Quality Control within the Multi-Radar Multi-Sensor System. J. Hydrometeor.<\/em>, 22<\/strong>, 2455\u20132474, doi:10.1175\/JHM-D-20-0234.1<\/a>.<\/p>\n

Martinaitis, S. M., S. B. Cocks, A. P. Osborne, M. J. Simpson, L. Tang, J. Zhang, and K. W. Howard, 2021: The historic rainfalls of Hurricanes Harvey and Florence: A perspective from the Multi-Radar Multi-Sensor system. J. Hydrometeor.<\/em>,\u00a022<\/strong>, 721\u2013738. doi:10.1175\/JHM-D-20-0199.1<\/a>.<\/p>\n

Zhang, J., L. Tang, S. Cocks, P. Zhang, A. Ryzhkov, K. Howard, C. Langston, and B. Kaney, 2020: A dual-polarization radar synthetic QPE for operations. J. Hydrometeor.<\/em>,\u00a021<\/strong>, 2507\u20132521. doi:10.1175\/JHM-D-19-0194.1<\/a>.<\/p>\n

Tang, L., J. Zhang, M. Simpson, A. Arthur, H. Grams, Y. Wang, and C. Langston, 2020: Updates on the radar data quality control in the MRMS quantitative precipitation estimation system. J. Atmos. Oceanic Technol.<\/em>, 37<\/strong>, 1521\u20131537. doi:10.1175\/JTECH-D-19-0165.1<\/a>.<\/p>\n

Martinaitis, S. M., A. P. Osborne, M. J. Simpson, J. Zhang, K. W. Howard, S. B. Cocks, A. Arthur, C. Langston, and B. T. Kaney, 2020: A physically based multisensor quantitative precipitation estimation approach for gap-filling radar coverage. J. Hydrometeor.<\/em>, 21<\/strong>, 1485\u20131511. doi:10.1175\/JHM-D-19-0264.1<\/a>.<\/p>\n

Cocks, S. B.<\/span>,\u00a0L. Tang<\/span>,\u00a0P. Zhang<\/span>,\u00a0A. Ryzhkov<\/span>,\u00a0B. Kaney<\/span>,\u00a0K. Elmore<\/span>,\u00a0Y. Wang<\/span>,\u00a0J. Zhang<\/span>, and K. Howard<\/span>,\u00a02019<\/span>:\u00a0A prototype quantitative precipitation estimation algorithm for operational S-band polarimetric radar utilizing specific attenuation and specific differential phase. Part II: Performance verification and case study analysis<\/span>. J. Hydrometeor.<\/em>,\u00a020<\/span><\/strong>, 999\u20131014. doi:10.1175\/JHM-D-18-0070.1<\/a>.<\/p>\n

Wang, Y.<\/span>,\u00a0S. B. Cocks<\/span>,\u00a0L. Tang<\/span>,\u00a0A. Ryzhkov<\/span>,\u00a0P. Zhang<\/span>,\u00a0J. Zhang<\/span>, and K. Howard<\/span>,\u00a02019<\/span>:\u00a0A prototype quantitative precipitation estimation algorithm for operational S-band polarimetric radar utilizing specific attenuation and specific differential phase. Part I: Algorithm description<\/span>. J. Hydrometeor.<\/em>,\u00a020<\/span><\/strong>, 985\u2013997. doi:10.1175\/JHM-D-18-0071.1<\/a>.<\/p>\n

Rosenow, A. A., K. Howard, and J. Meitin, 2018: Gap-filling mobile radar observations of a snow squall in the San Luis Valley. Mon. Wea. Rev.<\/em>, 146<\/strong>, 2469\u20132481. doi:10.1175\/MWR-D-17-0323.1<\/a>.<\/p>\n

Martinaitis, S. M., H. M. Grams, C. Langston, J. Zhang, and K. Howard, 2018:\u00a0A real-time evaporation correction scheme for radar-derived mosaicked precipitation estimations.\u00a0J. Hydrometeor.<\/em>, 19<\/strong>, 87\u2013111. doi:10.1175\/JHM-D-17-0093.1<\/a>.<\/p>\n

Qi, Y, and J. Zhang, 2017: A physically-based two-dimensional seamless reflectivity mosaic for radar QPE in the MRMS system. J. Hydrometeor.<\/em>, 18<\/strong>, 1327\u20131340. doi:10.1175\/JHM-D-16-0197.1<\/a>.<\/p>\n

Cocks, S. B., J. Zhang, S. M. Martinaitis, Y. Qi, B. Kaney, and K. Howard, 2017: MRMS QPE performance east of the Rockies during the 2014 warm season. J. Hydrometeor.<\/em>, 18<\/strong>, 761\u2013775. doi:10.1175\/JHM-D-16-0179.1<\/a>.<\/p>\n

Martinaitis, S. M., and Coauthors, 2017: The HMT Multi-Radar Multi-Sensor Hydro Experiment. Bull. Amer. Meteor. Soc.<\/em>, 98<\/strong>, 347\u2013359. doi:10.1175\/BAMS-D-15-00283.1<\/a>.<\/p>\n

Grams, H. M., P.-E. Kirstetter, and J. J. Gourley, 2016: Na\u00efve Bayesian precipitation type retrieval from satellite using a cloud-top and ground-radar matched climatology.\u00a0J. Hydrometeor.<\/em>,\u00a017<\/strong>, 2649\u20132665. doi:10.1175\/JHM-D-16-0058.1<\/a>.<\/p>\n

Qi, Y., S. Martinaitis, J. Zhang, and S. Cocks, 2016: A real-time automated quality control of hourly rain gauge data based on multiple sensors in MRMS system.\u00a0J. Hydrometeor.<\/em>,\u00a017<\/strong>, 1675\u20131691. doi:10.1175\/JHM-D-15-0188.1<\/a>.<\/p>\n

Zhang, J., and Coauthors, 2016: Multi-Radar Multi-Sensor (MRMS) quantitative precipitation estimation: Initial operating capabilities.\u00a0Bull. Amer. Meteor. Soc.<\/em>, 97<\/strong>,\u00a0621\u2013637. doi:10.1175\/BAMS-D-00174.1<\/a>.<\/p>\n

Cocks, S. B., S. M. Martinaitis, B. Kaney, J. Zhang, and K. Howard, 2016: MRMS QPE performance during the 2013-14 cool season.\u00a0J. Hydrometeor.<\/i>, 17<\/strong>,\u00a0791\u2013810. doi:10.1175\/JHM-D-15-0095.1<\/a>.<\/p>\n

Martinaitis, S. M., S. B. Cocks, Y. Qi., B. T. Kaney, J. Zhang, and K. Howard, 2015: Understanding winter precipitation impacts on automated gauge observations within a real-time system.\u00a0J. Hydrometeor.<\/em>, 16<\/strong>, 2345\u20132363. doi:10.1175\/JHM-D-15-0020.1<\/a>.<\/p>\n

Zhang, J., Y. Qi., C. Langston, B. Kaney, and K. Howard, 2014:\u00a0A real-time algorithm for merging radar QPEs with rain gauge observations and orographic precipitation climatology.\u00a0J. Hydrometeor<\/i>,\u00a015<\/b>, 1794\u20131809. doi:10.1175\/JHM-D-13-0163.1<\/a>.<\/p>\n

Tang, L., J. Zhang, C. Langston, J. Krause, K. Howard, and V. Lakshmanan, 2014: A physically based precipitation\u2013nonprecipitation radar echo classifier using polarimetric and environmental data in a real-time national system.\u00a0Wea. Forecasting<\/em>,\u00a029<\/strong>, 1106-1119. doi:10.1175\/WAF-D-13-00072.1<\/a>.<\/p>\n

Qi, Y., J. Zhang, B. Kaney, C. Langston, and K. Howard, 2014:\u00a0Improving WSR-88D radar QPE for orographic precipitation using profiler observations.\u00a0J. Hydrometeor.<\/i>,\u00a015<\/b>, 1135\u20131151. doi:10.1175\/JHM-D-13-0131.1<\/a>.<\/p>\n

Grams, H. M., J. Zhang, and K. L. Elmore, 2014:\u00a0Automated identification of enhanced rainfall rates using the near-storm environment for radar precipitation estimates.\u00a0J. Hydrometeor.<\/em>,\u00a015<\/strong>, 1238\u20131254. doi:10.1175\/JHM-D-13-042.1<\/a>.<\/p>\n

Qi, Y., J. Zhang, and P. Zhang, 2013: A real-time automated convective and stratiform precipitation segregation algorithm in native radar coordinates.\u00a0Q. J. R. Meteorol. Soc.<\/em>,\u00a0139<\/strong>, 2233\u20132240. doi:10.1002\/qj.2095<\/a>.<\/p>\n

Qi, Y., and J. Zhang, 2013: Correction of radar QPE errors associated with low and partially observed brightband layers.\u00a0J. Hydrometeor.<\/i>,\u00a014<\/b>, 1933\u20131943. doi:10.1175\/JHM-D-13-040.1<\/a>.<\/p>\n

Chen, S., J. J. Gourley, Y. Hong, P. E. Kirstetter, J. Zhang, K. W. Howard, Z. L. Flamig, J. Hu, and Y. Qi, 2013: Evaluation and uncertainty estimation of NOAA\/NSSL next generation national mosaic QPE (Q2) over the Continental United States.\u00a0J. Hydrometeor.<\/em>,\u00a014<\/strong>, 1308\u20131322. doi:10.1175\/JHM-D-12-0150.1<\/a>.<\/p>\n

Zhang, J., Y. Qi, K. Howard, C. Langston, and B. Kaney, 2012: Radar Quality Index (RQI) – A combined measure of beam blockage and VPR effects in a national network.\u00a0Weather Radar and Hydrology<\/em>, R. J. Moore, S. J. Cole, and A. J. Illingworth, Eds., International Association of Hydrological Science, 388\u2013393. [Link<\/a>]<\/p>\n

Zhang, J., Y. Qi, D. Kingsmill, and K. Howard, 2012:\u00a0Radar-based quantitative precipitation estimation for the cool season in complex terrain: Case studies from the NOAA Hydrometeorology Testbed.\u00a0J. Hydrometeor.<\/i>,\u00a013<\/b>, 1836\u20131854. doi:10.1175\/JHM-D-11-0145.1<\/a>.<\/p>\n

Wu, W., D. Kitzmiller, and S. Wu, 2012:\u00a0Evaluation of radar precipitation estimates from the National Mosaic and Multisensor Quantitative Precipitation Estimation System and the WSR-88D precipitation processing system over the Conterminous United States.\u00a0J. Hydrometeor.<\/em>, 13<\/strong>, 1080\u20131093. doi:10.1175\/JHM-D-11-064.1<\/a>.<\/p>\n

Zhang, J., and Coauthors, 2011:\u00a0National Mosaic and Multi-Sensor QPE (NMQ) System: Description, results, and future plans.\u00a0Bull. Amer. Meteor. Soc.<\/em>,\u00a092<\/strong>, 1321\u20131338. doi:10.1175\/2011BAMS-D-11-00047.1<\/a>.<\/p>\n

Kitzmiller,\u00a0<\/span>D., and Coauthors,\u00a02011<\/span>:\u00a0Evolving multisensor precipitation estimation methods: Their impacts on flow prediction using a distributed hydrologic model<\/span>.\u00a0J. Hydrometeor.<\/i><\/span>,\u00a012<\/b>,\u00a01414<\/span>\u20131431<\/span>. doi:10.1175\/JHM-D-10-05038.1<\/a>.<\/p>\n

Zhang, J., and Y. Qi, 2010: A real-time algorithm for the correction of brightband effects in radar-derived QPE.\u00a0J. Hydrometeor.<\/i>,\u00a011<\/b>, 1157\u20131171. doi:10.1175\/2010JHM1201.1<\/a>.<\/p>\n

Vasiloff, S. V., K. W. Howard, and J. Zhang, 2009:\u00a0Difficulties with correcting radar rainfall estimates based on rain gauge data: A case study of severe weather in Montana on 16\u201317 June 2007.\u00a0Wea. Forecasting<\/i>,\u00a024<\/b>, 1334\u20131344. doi:10.1175\/2009WAF2222154.1<\/a>.<\/p>\n

Zhang, J., C. Langston, and K. Howard, 2008: Brightband identification based on vertical profiles of reflectivity from the WSR-88D.\u00a0J. Atmos. Oceanic Technol.<\/em>,\u00a025<\/strong>, 1859\u20131872. doi:10.1175\/2008JTECHA1039.1<\/a>.<\/p>\n

Xu, X., K. Howard, and J. Zhang, 2008: An automated radar technique for the identification of tropical precipitation.\u00a0J. Hydrometeor.<\/em>,\u00a09<\/strong>, 885\u2013902. doi:10.1175\/2007JHM954.1<\/a>.<\/p>\n

Vasiloff, S. V., and Coauthors, 2007:\u00a0Improving QPE and very short term QPF: An initiative for a community-wide integrated approach.\u00a0Bull. Amer. Meteor. Soc.<\/em>,\u00a088<\/strong>, 1899\u20131911. doi:10.1175\/BAMS-88-12-1899<\/a>.<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Journal Articles Related to MRMS QPE Martinaitis, S. M., J. Anthony, D. Meyer, and S. Rearden, 2025: Examination of STEPS nowcast parameter configurations for use with high-resolution MRMS instantaneous precipitation… <\/p>\n

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