Publications and Presentations

Journal Articles and Publications

Martinaitis, S. M., H. M. Grams, C. Langston, J. Zhang, and K. Howard, 2018: A real-time evaporation correction scheme for radar-derived mosaicked precipitation estimations. J. Hydrometeor., 19, 87–111. doi:10.1175/JHM-D-17-0093.1.

Qi, Y, and J. Zhang, 2017: A physically-based two-dimensional seamless reflectivity mosaic for radar QPE in the MRMS system. J. Hydrometeor., 18, 1327–1340. doi:10.1175/JHM-D-16-0197.1.

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., 18, 761–775. doi:10.1175/JHM-D-16-0179.1.

Martinaitis, S. M., and Coauthors, 2017: The HMT Multi-Radar Multi-Sensor Hydro Experiment. Bull. Amer. Meteor. Soc., 98, 347–359. doi:10.1175/BAMS-D-15-00283.1.

Grams, H. M., P.-E. Kirstetter, and J. J. Gourley, 2016: Naïve Bayesian precipitation type retrieval from satellite using a cloud-top and ground-radar matched climatology. J. Hydrometeor.17, 2649–2665. doi:10.1175/JHM-D-16-0058.1.

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. J. Hydrometeor.17, 1675–1691. doi:10.1175/JHM-D-15-0188.1.

Zhang, J., and Coauthors, 2016: Multi-Radar Multi-Sensor (MRMS) quantitative precipitation estimation: Initial operating capabilities. Bull. Amer. Meteor. Soc., 97, 621–637. doi:10.1175/BAMS-D-00174.1.

Cocks, S. B., S. M. Martinaitis, B. Kaney, J. Zhang, and K. Howard, 2016: MRMS QPE performance during the 2013-14 cool season. J. Hydrometeor., 17, 791–810. doi:10.1175/JHM-D-15-0095.1.

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. J. Hydrometeor., 16, 2345–2363. doi:10.1175/JHM-D-15-0020.1.

Zhang, J., Y. Qi., C. Langston, B. Kaney, and K. Howard, 2014: A real-time algorithm for merging radar QPEs with rain gauge observations and orographic precipitation climatology. J. Hydrometeor15, 1794–1809. doi:10.1175/JHM-D-13-0163.1.

Tang, L., J. Zhang, C. Langston, J. Krause, K. Howard, and V. Lakshmanan, 2014: A physically based precipitation–nonprecipitation radar echo classifier using polarimetric and environmental data in a real-time national system. Wea. Forecasting29, 1106-1119. doi:10.1175/WAF-D-13-00072.1.

Qi, Y., J. Zhang, B. Kaney, C. Langston, and K. Howard, 2014: Improving WSR-88D radar QPE for orographic precipitation using profiler observations. J. Hydrometeor.15, 1135–1151. doi:10.1175/JHM-D-13-0131.1.

Grams, H. M., J. Zhang, and K. L. Elmore, 2014: Automated identification of enhanced rainfall rates using the near-storm environment for radar precipitation estimates. J. Hydrometeor.15, 1238–1254. doi:10.1175/JHM-D-13-042.1.

Qi, Y., J. Zhang, and P. Zhang, 2013: A real-time automated convective and stratiform precipitation segregation algorithm in native radar coordinates. Q. J. R. Meteorol. Soc.139, 2233–2240. doi:10.1002/qj.2095.

Qi, Y., and J. Zhang, 2013: Correction of radar QPE errors associated with low and partially observed brightband layers. J. Hydrometeor.14, 1933–1943. doi:10.1175/JHM-D-13-040.1.

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. J. Hydrometeor.14, 1308–1322. doi:10.1175/JHM-D-12-0150.1.

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. Weather Radar and Hydrology, R. J. Moore, S. J. Cole, and A. J. Illingworth, Eds., International Association of Hydrological Science, 388–393. [Link]

Zhang, J., Y. Qi, D. Kingsmill, and K. Howard, 2012: Radar-based quantitative precipitation estimation for the cool season in complex terrain: Case studies from the NOAA Hydrometeorology Testbed. J. Hydrometeor.13, 1836–1854. doi:10.1175/JHM-D-11-0145.1.

Wu, W., D. Kitzmiller, and S. Wu, 2012: Evaluation 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. J. Hydrometeor., 13, 1080–1093. doi:10.1175/JHM-D-11-064.1.

Zhang, J., and Coauthors, 2011: National Mosaic and Multi-Sensor QPE (NMQ) System: Description, results, and future plans. Bull. Amer. Meteor. Soc.92, 1321–1338. doi:10.1175/2011BAMS-D-11-00047.1.

KitzmillerD., and Coauthors, 2011Evolving multisensor precipitation estimation methods: Their impacts on flow prediction using a distributed hydrologic modelJ. Hydrometeor.1214141431. doi:10.1175/JHM-D-10-05038.1.

Zhang, J., and Y. Qi, 2010: A real-time algorithm for the correction of brightband effects in radar-derived QPE. J. Hydrometeor.11, 1157–1171. doi:10.1175/2010JHM1201.1.

Vasiloff, S. V., K. W. Howard, and J. Zhang, 2009: Difficulties with correcting radar rainfall estimates based on rain gauge data: A case study of severe weather in Montana on 16–17 June 2007. Wea. Forecasting24, 1334–1344. doi:10.1175/2009WAF2222154.1.

Zhang, J., C. Langston, and K. Howard, 2008: Brightband identification based on vertical profiles of reflectivity from the WSR-88D. J. Atmos. Oceanic Technol.25, 1859–1872. doi:10.1175/2008JTECHA1039.1.

Xu, X., K. Howard, and J. Zhang, 2008: An automated radar technique for the identification of tropical precipitation. J. Hydrometeor.9, 885–902. doi:10.1175/2007JHM954.1.

Vasiloff, S. V., and Coauthors, 2007: Improving QPE and very short term QPF: An initiative for a community-wide integrated approach. Bull. Amer. Meteor. Soc.88, 1899–1911. doi:10.1175/BAMS-88-12-1899.


Select Conference Presentations and Extended Abstracts

Zhang, J., K. W. Howard, L. Tang, S. M. Martinaitis, Y. Qi, S. B. Cocks, C. Langston, B. T. Kaney, and K. Cooper, 2018: Multi-Radar Multi-Sensor (MRMS) QPE products update—2016/2017. 32nd Conf. on Hydrology, Austin, TX, Amer. Meteor. Soc., 2B.4. [Link]

Rosenow, A. A., K. W. Howard, and J. Meitín, 2018: Gap-filling radar observations of a snow qquall at San Luis Valley Regional Airport. 6th Aviation, Range, and Aerospace Meteorology Special Symposium, Austin, TX, Amer. Meteor. Soc., 3.9A. [Link]

Reeves, H. D., 2018: On the interpolation of three-dimensional radar observations to flight levels. 6th Aviation, Range, and Aerospace Meteorology Special Symposium, Austin, TX, Amer. Meteor. Soc., 1.5. [Link]

Qi, Y., L. Tang and J. Zhang, 2018: Contaminated precipitation radar echo identification, removing, and filling using polarimetric and environmental data in the MRMS operational system. 2nd Conf. on Hydrology, Austin, TX, Amer. Meteor. Soc., 80. [Link]

Martinaitis, S. M., C. Langston, Y. Qi, S. B. Cocks, J. Zhang, and K. W. Howard, 2018: Current advancements and future direction of gauge ingest and quality control in the MRMS system. 32nd Conf. on Hydrology, Austin, TX, Amer. Meteor. Soc., 59. [Link]

Martinaitis, S. M., C. Langston, A. Osborne, J. Zhang, K. W. Howard, and Y. Qi, 2018: Advancing precipitation estimation in data-sparse regions—The MRMS Multi-Sensor QPE product. 32nd Conf. on Hydrology, Austin, TX, Amer. Meteor. Soc., 58. [Link]

Gerard, A., K. W. Howard, J. J. Gourley, T. Smith, and J. Zhang, 2018: Multiple Radar/Multiple Sensor (MRMS) system: Current and future role in the community analysis and nowcast framework. 8th Conf. on Transition of Research to Operations, Austin, TX, Amer. Meteor. Soc., 12B.1. [Link]

Cocks, S. B., L. Tang, Y. Wang, J. Zhang, A. Ryzhkov, P. Zhang, and K. W. Howard, 2018: Operational strengths and challenges for the new dual-pol MRMS QPE on a real-time system. 32nd Conf. on Hydrology, Austin, TX, Amer. Meteor. Soc., 4.3. [Link]

Cocks, S. B., L. Tang, Y. Wang, J. Zhang, A. Ryzhkov, P. Zhang, and K. W. Howard, 2018: MRMS precipitation estimates using specific attenuation. 32nd Conf. on Hydrology, Austin, TX, Amer. Meteor. Soc., 77. [Link]

Martinaitis, S. M., J. Zhang, and K. Howard, 2017: Upcoming improvements to the Multi-Radar Multi-Sensor (MRMS) quantitative precipitation estimation (QPE) product suite. 42nd Natl. Wea. Assoc. Annual Meeting, Garden Grove, CA. [Link]

Martinaitis, S. M., Y. Qi, C. Langston, J. Zhang, and K. Howard, 2017: Improving QPE coverage and estimation: The MRMS Multi-Sensor Merged QPE – Phase I. 42nd Natl. Wea. Assoc. Annual Meeting, Garden Grove, CA. [Link]

Zhang, J., Y. Qi, L. Tang, S. B. Cocks, Y. Wang, P. Zhang, A. Ryzhkov, C. Langston, and B. T. Kaney, 2017: MRMS dual-polarization radar synthetic QPE. 38th Conf. on Radar Meteorology, Chicago, IL, Amer. Meteor. Soc., 22B.3. [Link]

Tang, L., J. Zhang, P. Zhang, A. V. Ryzhkov, S. B. Cocks, and Y. Wang, 2017: Melting layer impact on the radar rainfall estimation using the specific attenuation. 38th Conf. on Radar Meteorology, Chicago, IL, Amer. Meteor. Soc., 258. [Link]

Tang, L., J. Zhang, Y. Qi. S. B. Cocks, and K. W. Howard, 2017: Radar beam blockage processes in the Multi-Radar Multi-Sensor system. 38th Conf. on Radar Meteorology, Chicago, IL, Amer. Meteor. Soc., 179. [Link]

Rosenow, A. A., K. W. Howard, and J. Meitín, 2017: Gap-filling mobile radar observations of a snow squall in the San Luis Valley. 38th Conf. on Radar Meteorology, Chicago, IL, Amer. Meteor. Soc., 220. [Link]

Reeves, H. D., L. Tang, J. Zhang, J. Brogden, and K. Howard, 2017: Quantifying the latency within mosaicked radar products and assessing impacts on operations. 38th Conf. on Radar Meteorology, Chicago, IL, Amer. Meteor. Soc., 61. [Link]

Tang, L., J. Zhang, A. Arthur, and C. Langston, 2017: Update to the blockage data for WSR-88D radars used in the MRMS system. 33rd Conf. on Environmental Information Processing Technologies, Seattle, WA, Amer. Meteor. Soc., 444. [Link]

Reeves, H. D., L. Tang, J. Zhang, J. Brogden, and K. W. Howard, 2017: Latency within mosaicked radar products and its effect on aviation operations. 18th Conf. on Aviation, Range, and Aerospace Meteor., Seattle, WA, Amer. Meteor. Soc., 14.3. [Link]

Reeves, H. D., and K. W. Howard, 2017: Multi-Radar/Multi-Sensor tools for aviation. 18th Conf. on Aviation, Range, and Aerospace Meteor., Seattle, WA, Amer. Meteor. Soc., 14.6. [Link]

Martinaitis, S. M., H. M. Grams, B. T. Kaney, S. S. Harkema, and K. W. Howard, 2017: The need for robust and accurate precipitation gauge metadata for radar-based QPE. 31st Conf. on Hydrology, Seattle, WA, Amer. Meteor. Soc., 1096. [Link]

Martinaitis, S. M., H. M. Grams, J. Zhang, K. W. Howard, and Y. Qi, 2017: Applying an evaporation correction scheme for real-time radar-based instantaneous rain rates. 31st Conf. on Hydrology, Seattle, WA, Amer. Meteor. Soc., 1092. [Link]

Harkema, S. S., H. M. Grams, S. M. Martinaitis, and B. T. Kaney, 2017: Impact of rain gauge location errors on verification of radar-based precipitation estimates. 31st Conf. on Hydrology, Seattle, WA, Amer. Meteor. Soc., 10.3. [Link]

Reeves, H. D., B. Entwhistle, and K. Howard, 2016: The MRMS aviation product suite expansion plans. 41st Natl. Wea. Assoc. Annual Meeting, Norfolk, VA, A.40. [Link]

Martinaitis, S. M., and Coauthors, 2016: Future updates for the MRMS QPE product suite. 41st Natl. Wea. Assoc. Annual Meeting, Norfolk, VA, 3A.2. [Link]

Martinaitis, S. M., H. Grams, Y. Qi, J. Zhang, and K. Howard, 2016: Improving surface rain rates by accounting for evaporation in MRMS radar-based QPE. 41st Natl. Wea. Assoc. Annual Meeting, Norfolk, VA, A.55. [Link]

Grams, H. M., J. J. Gourley, and P. E. Kirstetter, 2016: Integration of GOES-R into the Multi-Radar Multi-Sensor system for high resolution, seamless QPE in complex terrain. 17th Conf. on Mountain Meteor., Burlington, VT, Amer. Meteor. Soc., 14.3. [Link]

Zhang, J., Y. Qi, C. Langston, and B. T. Kaney, 2016: Local gauge correction of radar QPE in the Multi-Radar Multi-Sensor system. 30th Conf. on Hydrology, New Orleans, LA, Amer. Meteor. Soc., 8.1. [Link]

Tang, L., K. Elmore, J. Zhang, H. Grams, and K. W. Howard, 2016: Three dimensional aviation-specific hydrometeor classification for polarimetric WSR-88D network. Fifth Aviation, Range, and Aerospace Meteorological Special Symposium, New Orleans, LA, Amer. Meteor. Soc., 834. [Link]

Tang, L. J. Zhang, C. Langston, and K. Cooper, 2016: Canadian radar quality control in Multi-Radar Multi-Sensor system. Fifth Aviation, Range, and Aerospace Meteorological Special Symposium, New Orleans, LA, Amer. Meteor. Soc., 835. [Link]

Stumpf, G. J. and Coauthors, 2016: The Multiple-Radar / Multiple-Sensor products: The first year of NWS operations. 32nd Conf. on Environmental Information Processing Technologies, New Orleans, LA, Amer. Meteor. Soc., TJ7.3. [Link]

Qi, Y. and J. Zhang, 2016: Physically based two-dimensional seamless mosaic radar QPE in a national network. 30th Conf. on Hydrology, New Orleans, LA, Amer. Meteor. Soc., 562. [Link]

Martinaitis, S. M., Y. Qi, S. B. Cocks, J. Zhang, and K. Howard, 2016: Advancement of a real-time automated gauge quality control process Multi-Radar Multi-Sensor precipitation estimation. 30th Conf. on Hydrology, New Orleans, LA, Amer. Meteor. Soc., 3.1. [Link]

Martinaitis, S. M., Y. Qi, S. B. Cocks, L. Tang, C. Langston, B. T. Kaney, J. Zhang, and K. Howard, 2016: Development of a merged precipitation product for the automated Multi-Radar Multi-Sensor system. 30th Conf. on Hydrology, New Orleans, LA, Amer. Meteor. Soc., 553. [Link]

Cocks, S. B., S. M. Martinaitis, Y. Qi, H. Grams, K. W. Howard, and J. Zhang, 2016: MRMS QPE performance east of the Rockies during the 2014 warm season. 30th Conf. on Hydrology, New Orleans, LA, Amer. Meteor. Soc., 564. [Link]

Cocks, S. B., S. M. Martinaitis, K. W. Howard, and J. Zhang, 2016: MRMS QPE performance west of the Rockies during the 2013-2014 cool and warm seasons. 30th Conf. on Hydrology, New Orleans, LA, Amer. Meteor. Soc., 565. [Link]

Zhang, J., Y. Qi, S. Stevens, B. Kaney, C. Langston, K. Ortega, B. Nelson, K. Howard, and O. Prat, 2015: Multiple Year Reanalysis of Remotely Sensed Storms – Precipitation (MYRORSS-P). 40th Natl. Wea. Assoc. Annual Meeting, Oklahoma City, OK, BP-96. [Link]

Cocks, S. B., S. M. Martinaitis, K. Howard, and J. Zhang, 2015: MRMS QPE performance during the 2014 warm season. 40th Natl. Wea. Assoc. Annual Meeting, Oklahoma City, OK, CP-5. [Link]

Cocks, S. B., S. M. Martinaitis, K. Howard, and J. Zhang, 2015: Conducting site visits to facilitate the operations to research process with MRMS QPE. 40th Natl. Wea. Assoc. Annual Meeting, Oklahoma City, OK, CP-6. [Link]

Qi, Y., S. Martinaitis, S. Cocks, and J. Zhang, 2015: A real-time automated quality control of hourly rain gauge data based on multiple sensors in MRMS system. 40th Natl. Wea. Assoc. Annual Meeting, Oklahoma City, OK, CP-43. [Link]

Grams, H. M., J. J., Gourley, and P. Kirstetter, 2015: Integrating high resolution ground radar and satellite observations for rapidly updating precipitation estimates in data sparse regions. 40th Natl. Wea. Assoc. Annual Meeting, Oklahoma City, OK. [Link]

Wang, Y., P. Zhang, A. V. Ryzhkov, J. Zhang, L. Tang, and S. B. Cocks, 2015: Dual-polarization radar QPE using adjusted specific attenuation for different precipitation types. 37th Conf. on Radar Meteorology, Norman, OK, Amer. Meteor. Soc., 9A.4. [Link]

Zhang, J., Y. Qi, S. E. Stevens, B. Kaney, C. Langston, K. L. Ortega, B. R. Nelson, K. Howard, and O. P. Prat, 2015: Multiple Year Reanalysis of Remotely Sensed Storms — Precipitation (MYRORSS – P). 37th Conf. on Radar Meteorology, Norman, OK, Amer. Meteor. Soc., 190. [Link]

Cocks, S. B., S. M. Martinaitis, K. W. Howard, and J. Zhang, 2015: MRMS QPE performance during the 2014 warm season. 37th Conf. on Radar Meteorology, Norman, OK, Amer. Meteor. Soc., 11A.5A. [Link]

Cocks, S. B., Y. Wang, K. W. Howard, and J. Zhang, 2015: Single radar specific attenuation precipitation estimate comparison with MRMS Q3 and dual-pol QPE. 37th Conf. on Radar Meteorology, Norman, OK, Amer. Meteor. Soc., 9A.5. [Link]

Tang, L., D. Jorgensen, J. Zhang, Y. Wang, Y. Qi, K. Howard, D. J. Gochis, J. Busto, and J. Meitín, 2015: Snowfall rate estimation using X-band dual-polarization radar. 37th Conf. on Radar Meteorology, Norman, OK, Amer. Meteor. Soc., 11A.6. [Link]

Kirstetter, P. E., J. J. Gourley, Y. Hong, J. Zhang, S. Moazamigoodarzi, C. Langston, and A. Arthur, 2015: Probabilistic quantitative precipitation estimates with ground-based radar networks. 37th Conf. on Radar Meteorology, Norman, OK, Amer. Meteor. Soc., 10A.1. [Link]

Grams, H., P. E. Kirstetter, and J. J. Gourley, 2015: Expanding the “Multi-Sensor” in MRMS: Seamless high-resolution CONUS QPE in the GOES-R/GPM era. 37th Conf. on Radar Meteorology, Norman, OK, Amer. Meteor. Soc., 184. [Link]

Grams, H., J. J. Gourley, and P. E. Kirstetter, 2015: Advances in geostationary observations of cloud properties and QPE applications for complex terrain. 4th International Symposium on Earth-Science Challenges, Norman, OK, 56.

Martinaitis, S. M., S. B. Cocks, Y. Qi, B. T. Kaney, J. Zhang, and K. Howard, 2015: Understanding the impacts of winter precipitation on automated gauge observations within a real-time system. 4th International Symposium on Earth-Science Challenges, Norman, OK, 57.

Martinaitis, S. M., S. B. Cocks, Y. Qi, B. T. Kaney, J. Zhang, and K. Howard, 2015: An examination of frozen precipitation impacts on MRMS Q3 during winter precipitation events. 29th Conf. on Hydrology, Phoenix, AZ, Amer. Meteor. Soc., 2.3. [Link]

Cocks, S. B., S. M. Martinaitis, Y. Qi, J. Zhang, and K. Howard, 2015: MRMS Q3 performance during the 2013-14 cool season. 29th Conf. on Hydrology, Phoenix, AZ, Amer. Meteor. Soc., 2.5. [Link]

Langston, C. and K. Cooper, 2015: The MRMS system configuration to support research-to-operations process. 5th Conf. on Transition of Research to Operations. Phoenix, AZ, Amer. Meteor. Soc., 386. [Link]

Miller, M. B., and L. J. Cano, 2015: MRMS: A successful case of research-to-operations. 5th Conf. on Transition of Research to Operations. Phoenix, AZ, Amer. Meteor. Soc., 6.3. [Link]

Clark III, R., J. Gourley, Z. L. Flamig, E. M. Argyle, B. R. Smith, S. M. Martinaitis, L. P. Rothfusz, and Y. Hong, 2015: The inaugural Hazardous Weather Testbed – Hydrology (HWT-Hydro) Experiment. 31st Conf. on Environmental Information Processing Technologies. Phoenix, AZ, Amer. Meteor. Soc., J2.6. [Link]

Grams, H., J. Gourley, R. Rabin, and P. Kirstetter, 2014: Merging GOES-R ABI and TRMM/GPM observations with MRMS ground-based radar radar for real-time QPE in complex terrain. 47th American Geophysical Union Fall Meeting, San Francisco, CA, A11A-3008. [Link]

Cocks, S. B., J. Zhang, S. M. Martinaitis, and K. Howard, 2014: Inter-comparison of the MRMS radar QPE and gauge observations in a complex stratiform and convective rain event. 39th Natl. Wea. Assoc. Annual Meeting, Salt Lake City, UT, P1.66. [Link]

Martinaitis, S. M., Y. Qi, S. Cocks, L. Tang, B. Kaney, J. Zhang, and K. Howard, 2014. Improving MRMS Q3 precipitation estimation in the western United States: Preliminary results. 39th Natl. Wea. Assoc. Annual Meeting, Salt Lake City, UT, D3.4. [Link]

Howard, K., 2014: MRMS transition to NOAA operations. 30th Conf. on Environmental Information Processing Technologies. Atlanta, GA, Amer. Meteor. Soc., 2.2. [Link]

Zhang, J., K. Howard, S. Vasiloff, C. Langston, B. Kaney, Y. Qi, L. Tang, H. Grams, D. Kitzmiller, and J. J. Levit, 2014: Initial operating capabilities of quantitative precipitation estimation in the Multi-Radar Multi-Sensor system. 28th Conf. on Hydrology, Atlanta, GA, Amer. Meteor. Soc., 5.3. [Link]