Journal Articles Journal Articles

MRMS-General:

Lakshmanan, V., T. Smith, K. Hondl, G. J. Stumpf, and A. Witt, 2006:  A real-time, three dimensional, rapidly updating, heterogeneous radar merger technique for reflectivity, velocity and derived products.  Wea. Forecasting, 21, 802–823.  http://dx.doi.org/10.1175/WAF942.1

Lakshmanan, V., A. Fritz, T. Smith, K. Hondl, G. J. Stumpf, 2007:  An automated technique to quality control radar reflectivity data. J. Appl. Meteor., 46, 288–305.  http://dx.doi.org/10.1175/JAM2460.1

Lakshmanan, V., T. M. Smith, G. J. Stumpf, K. D. Hondl, 2007:  The Warning Decision Support System—Integrated Information. Wea. Forecasting, 22, 596–612.  http://dx.doi.org/10.1175/WAF1009.1

Lakshmanan, V., J. Zhang, K. Howard, 2010: A Technique to Censor Biological Echoes in Radar Reflectivity Data. J. Atmos. Oceanic Technol., 49, 435–462.  http://dx.doi.org/10.1175/2009JAMC2255.1

Lakshmanan, V., J. Zhang, K. Hondl, C. Langston, 2012: A Statistical Approach to Mitigating Persistent Clutter in Radar Reflectivity Data. IEEE J. Select Topics in Applied Earth Observations and Remote Sensing, 5, 652–662.  Available here.

Lakshmanan, V., T. W. Humphrey, 2014: A MapReduce Technique to Mosaic Continental-Scale Weather Radar Data in Real-Time. IEEE J. Select Topics in Applied Earth Observations and Remote Sensing, 7, 721–732.  Available here.

Lakshmanan, V., C. Karstens, J. Krause, and L. Tang, 2014: Quality Control of Weather Radar Data Using Polarimetric Variables. J. Atmos. Oceanic Technol., 31, 1234–1249. http://dx.doi.org/10.1175/JTECH-D-13-00073.1

Langston, C. , J. Zhang, K. Howard, 2007: Four-Dimensional Dynamic Radar Mosaic. J. Atmos. Oceanic Technol., 24, 776–790.  http://dx.doi.org/10.1175/JTECH2001.1

Maddox, R., J. Zhang, J.J. Gourley, and K. Howard, 2002: Weather radar coverage over the contiguous United States. Wea. Forecasting, 17, 927–934. http://dx.doi.org/10.1175/1520-0434(2002)017%3C0927:WRCOTC%3E2.0.CO;2

Vasiloff, S. V., D. J. Seo, K. W. Howard, J. Zhang, D. H. Kitzmiller, M. G. Mullusky, W. F. Krajewski, E. A. Brandes, R. M. Rabin, D. S. Berkowitz, H. E. Brooks, J. A. McGinley, R. J. Kuligowski, B. G. Brown, 2007: Improving QPE and Very Short Term QPF: An Initiative for a Community-Wide Integrated Approach. Bull.  Amer. Met. Soc., 88, 1899–1911.  http://dx.doi.org/10.1175/BAMS-88-12-1899

Zhang, J. , K. Howard, W. Xia, C. langston, S. Wang, and Y. Qin, 2004: Three- and Four-Dimensional High-Resolution National Radar Mosaic. ERAD Publ. Ser, 2, 105–108.  Available here.

Zhang, J. , K. Howard, J. J. Gourley, 2005: Constructing three-dimensional multiple radar reflectivity mosaics: examples of convective storms and stratiform rain echoes. J. Atmos. Oceanic Technol., 22, 30–42.  http://dx.doi.org/10.1175/JTECH-1689.1

Zhang, J. , K. Howard, C. Langston, S. Vasiloff, B. Kaney, A. Arthur, S. Van Cooten, K. Kelleher, D. Kitzmiller, F. Ding, D. J. Seo, E. Wells, C. Dempsey, 2011: National Mosaic and Multi-sensor QPE (NMQ) System: Description, Results, and Future Plans. Bull.  Amer. Met. Soc., 92, 1321–1338. http://dx.doi.org/10.1175/2011BAMS-D-11-00047.1

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. https://www.nssl.noaa.gov/projects/q2/tutorial/images/mosaic/WRaH_Proceedings_Zhang-et-al_v3.pdf

 

MRMS-Severe:

Cintineo, J. L., T. M. Smith, V. Lakshmanan, H. E. Brooks, K. L. Ortega, 2012:  An objective high-resolution hail climatology of the contiguous United States. Wea. Forecasting, 27, 1235–1248.  http://dx.doi.org/10.1175/WAF-D-11-00151.1

Hobson, A., V. Lakshmanan, T. Smith, M. Richman, 2012:  An automated technique to categorize storm type from radar and near-storm environment data. Atmos. Research, 111, 104–113.  http://www.sciencedirect.com/science/article/pii/S0169809512000725

Lakshmanan, V., R. Rabin, V. DeBrunner, 2003: Multiscale storm identification and forecast. Atmos. Research, 67-68, 367–380.  http://www.sciencedirect.com/science/article/pii/S0169809503000681

Lakshmanan, V., K. Hondl, R. Rabin, 2009: An efficient, general-purpose technique for identifying storm cells in geospatial images. J. Atmos. Oceanic Technol., 26, 523–537. http://dx.doi.org/10.1175/2008JTECHA1153.1

Lakshmanan, V., T. Smith, 2009: Data Mining Storm Attributes from Spatial Grids. J. Atmos. Oceanic Technol., 26, 2353–2365.  http://dx.doi.org/10.1175/2009JTECHA1257.1

Lakshmanan, V., T. Smith, 2010: An objective method of evaluating and devising storm tracking algorithms. Wea. Forecasting, 25, 721–729.  http://dx.doi.org/10.1175/2009WAF2222330.1

Lakshmanan, V., 2012: Image processing of weather radar reflectivity data: Should it be done in Z or dBZ?  Electronic J. of Severe Storm Meteor., 7, 1–4.  http://cimms.ou.edu/~lakshman/Papers/zordbz.pdf.

Lakshmanan, V., K. Hondl, C. Potvin, D. Priegnitz, 2013: An improved method to compute radar echo top heights. Wea. Forecasting, 28, 481–488, http://dx.doi.org/10.1175/WAF-D-12-00084.1

Lakshmanan, V., M. Miller, T. Smith, 2013: Quality control of accumulated fields by applying spatial and temporal constraints. J. Atmos. Oceanic Technol., 30, 745–757. http://dx.doi.org/10.1175/JTECH-D-12-00128.1

Miller, M. L., V. Lakshmanan, T. M. Smith, 2013: An Automated Method for Depicting Mesocyclone Paths and Intensities. Wea. Forecasting, 28, 570–585. http://dx.doi.org/10.1175/WAF-D-12-00065.1

Newman, J., V. Lakshmanan, P. Heinselman, M. Richman, T. Smith, 2013: Range-Correcting Azimuthal Shear in Doppler Radar Data. Wea. Forecasting, 28, 194–211.  http://dx.doi.org/10.1175/WAF-D-11-00154.1.

Ortega, K. L., T. M. Smith, K. L. Manross, K. A. Scharfenberg, A. Witt, A. G. Kolodziej, J. J. Gourley, 2009: The severe hazards analysis and verification experiment. Bull.  Amer. Met. Soc., 90, 1519–1530.  http://dx.doi.org/10.1175/2009BAMS2815.1

Smith, T. M., V. Lakshmanan, G. J. Stumpf, K. L. Ortega, K. Hondl, K. Cooper, K. M. Calhoun, D. M. Kingfield, K. L. Manross, R. Toomey, J. Brogden, 2016: Multi-Radar Multi-Sensor (MRMS) severe weather and aviation products: initial operating capabilities.  Bull. Amer. Meteor. Soc., in press.  http://dx.doi.org/10.1175/BAMS-D-14-00173.1

Stumpf, G. J., T. M. Smith, and C. Thomas, 2003:  The National Severe Storms Laboratory's contribution to severe weather warning improvement: Multiple-sensor severe weather applications.  Atmos. Research, 66, 657–669.  http://www.sciencedirect.com/science/article/pii/S0169809503000796

Xu, Q. , K. Nai, S. Liu, C. Karstens, T. Smith, Q. Zhao, 2013: Improved Doppler velocity dealiasing for radar data assimilation and storm-scale vortex detection.  Advances in Meteor., 2013, 517–526.  http://www.hindawi.com/journals/amet/2013/562386/

Yang, H., J. Zhang, and C. Langston, 2009: Synchronization of Radar Observations with Multi-Scale Storm Tracking.  Advances in Atmospheric Sciences (China). 26, 78–86.  Available here.

 

MRMS-QPE:

Chang, P. L., P. F. Lin, J. D. Jou, J. Zhang, 2009: An application of reflectivity climatology in constructing radar hybrid scan over complex terrains. J. Atmos. Oceanic Technol., 26, 1315–1327. http://dx.doi.org/10.1175/2009JTECHA1162.1

Chen, S., J. J. Gourley, Y. Hong, P. E. Kirstetter, J. Zhang, K. W. Howard, Z. L. Flamig, J. Hu, Y. Qi, 2013: Evaluation and uncertainty estimation of NOAA/NSSL next-generation National Mosaic Quantitative Precipitation Estimation product (Q2) over the Continental United States. J. Hydrometeor., 14, 1308–1322.  http://dx.doi.org/10.1175/JHM-D-12-0150.1

Chen, S., J. J. Gourley, Y. Hong, Q. Cao, N. Carr, P. E. Kirstetter, J. Zhang, and Z. L. Flamig, 2016: Using citizen science reports to evaluate estimates of surface precipitation type. Bull. Amer. Meteor. Soc., 97, 187-193. http://dx.doi.org/10.1175/BAMS-D-13-00247.1

Cocks, S. B., 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, 791–810. http://dx.doi.org/10.1175/JHM-D-16-0179.1.

Cocks, S. B., J. Zhang, S. M. Martinaitis, B. Kaney, J. Zhang, and K. Howard, 2016: MRMS QPE performance during the 2013-14 cool season. J. Hydrometeor., 17, 761–775. http://dx.doi.org/10.1175/JHM-D-15-0095.1.

Gourley, J. J., R. A. Maddox, D. W. Burgess, K. W. Howard, 2002: An exploratory multisensor technique for quantitative estimation of stratiform rainfall. J. Hydrometeor., 3, 166–180. http://dx.doi.org/10.1175/1525-7541(2002)003%3C0166:AEMTFQ%3E2.0.CO;2

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. http://dx.doi.org/10.1175/JHM-D-13-042.1.

Kirstetter, P.-E., Y. Hong, J.J. Gourley, S. Chen, Z. Flaming, J. Zhang, M. Schwaller, W. Petersen, E. Amitai, 2012:  Toward a Framework for Systematic Error Modeling of Spaceborne Precipitation Radar with NOAA/NSSL Ground Radar-based National Mosaic QPE, J. Hydrometeor., 13, 1285–1300.  http://dx.doi.org/10.1175/JHM-D-11-0139.1

Kirstetter, P. E., Y. Hong, J. J. Gourley, M. Schwaller, W. Petersen, J. Zhang, 2013: Comparison of TRMM 2A25 products, version 6 and version 7, with NOAA/NSSL ground radar-based National Mosaic QPE. J. Hydrometeor., 14, 661–669.  http://dx.doi.org/10.1175/JHM-D-12-030.1

Kitzmiller, D. , S. Van Cooten, F. Ding, K. Howard, C. Langston, J. Zhang, H. Moser, Y. Zhang, J. Gourley, D. Kim, D. Riley, 2011: Evolving multisensor precipitation estimation methods: Their impacts on flow prediction using a distributed hydrologic model. J. of Hydrometeor., 12, 1414–1431. http://dx.doi.org/10.1175/JHM-D-10-05038.1

Liu, S., G. DiMego, S. Guan, V. Krishna Kumar, D. Keyser, Q. Xu, K. Nai, P. Zhang, L. Liu, J. Zhang, K. Howard, and J. Ator, 2016: WSR-88D radar data processing at NCEP.  Wea. Forecasting, 31, 2047-2055.  http://dx.doi.org/10.1175/WAF-D-16-0003.1

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. http://dx.doi.org/10.1175/JHM-D-15-0020.1.

Qi, Y. and J. Zhang, 2013: Correction of Radar QPE Errors Associated with Low and Partially Observed Bright Band Layers.  J. Hydrometeor., 14, 1933–1943. http://dx.doi.org/10.1175/JHM-D-13-040.1

Qi, Y., J. Zhang, Q. Cao, Y. Hong, X.-M. Hu, 2013: Correction of Radar QPE Errors for Non-Uniform VPRs in Mesoscale Convective Systems Using TRMM Observations.  J.  Hydrometeor., 14, 1672–1682. http://dx.doi.org/10.1175/JHM-D-12-0165.1.

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

Qi, Y., J. Zhang, P. Zhang, Q. Cao, 2013: VPR correction of bright band effects in radar QPEs using polarimetric radar observations.  J.  Geographical Res.: Atmos, 118, 3627–3633.  http://dx.doi.org/10.1002/jgrd.50364

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. http://dx.doi.org/10.1175/JHM-D-13-0131.1.

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. http://dx.doi.org/10.1175/JHM-D-15-0188.1.

Qi, Y., and J. Zhang, 2017: A physically based two-dimensional seamless reflectivity mosaic for radar QPE in the MRMS system. J. Hydrometeor., In press. http://dx.doi.org/10.1175/JHM-D-16-0197.1.

Tang, L., J. Zhang, C. Langston, J. Krause, K. Howard, and V. Lakshmanan, 2014: A physically based precipitation/non-precipitation radar echo classifier using polarimetric and environmental data in a real-time national system. Wea. Forecasting, 29, 1106–1119.  http://dx.doi.org/10.1175/WAF-D-13-00072.1

Vasiloff, S., K. 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. Forecasting., 24, 1334–1344. http://dx.doi.org/10.1175/2009WAF2222154.1

Wang, Y., J. Zhang, A. V. Ryzhkov, and L. Tang, 2013: C-Band Polarimetric Radar QPE Based on Specific Differential Propagation Phase for Extreme Typhoon Rainfall. J. Atmos. Oceanic Tech., 30, 1354-1370.  doi: http://dx.doi.org/10.1175/JTECH-D-12-00083.1.

Wang, Y., P. Zhang, A. V. Ryzhkov, J. Zhang, and P.-L. Chang, 2014: Utilization of specific attenuation for tropical rainfall estimation in complex terrain. J. Hydrometeor., 15, 2250-2266. http://dx.doi.org/10.1175/JHM-D-14-0003.1.

Wang, Y., J. Zhang, P.-L. Chang, and Q. Cao, 2015: Radar vertical profile of reflectivity correction with TRMM observations using a neural network approach. J. Hydrometeor., 16, 2230-2247. http://dx.doi.org/10.1175/JHM-D-14-0136.1.

Wen, Y., Q. Cao, P. E. Kirstetter, Y. Hong, J. J. Gourley, J. Zhang, G. Zhang, B. Yong, 2013: Incorporating NASA spaceborne radar data into NOAA National Mosaic QPE system for improved precipitation measurement: A physically based VPR identification and enhancement method. J. Hydrometeor., 14, 1293–1307.  http://dx.doi.org/10.1175/JHM-D-12-0106.1

Wen, Y., P. E. Kirstetter, Y. Hong, J. J. Gourley, Q. Cao, J. Zhang, Z. Flamig, and X. Xue, 2016: Evaluation of a method to enhance real-time, ground radar-based rainfall estimates using climatological profiles of reflectivity from space. J. Hydrometeor., 17, 761–775.  http://dx.doi.org/10.1175/JHM-D-15-0062.1

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. http://dx.doi.org/10.1175/JHM-D-11-064.1.

Xu, X. , K. Howard, J. Zhang, 2008: An Automated Radar Technique for the Identification of Tropical Precipitation. J. Hydrometeor., 9, 885–902.  http://dx.doi.org/10.1175/2007JHM954.1

Zhang, J. , C. Langston, K. Howard, 2008: Bright Band Identification Based On Vertical Profiles of Reflectivity from the WSR-88D. J. Atmos. Oceanic Technol., 25, 1859–1872. http://dx.doi.org/10.1175/2008JTECHA1039.1

Zhang, J., K. Howard, P.-L. Chang, P. T.-K. Chiu, et al., 2008: High-Resolution QPE System for Taiwan.  Data Assimilation for Atmospheric, Oceanic, and Hydrologic Applications. S. K. Park, L. Xu, Ed(s), Springer-Verlag, 147–162.  Available here.

Zhang, J. , Y. Qi, 2010: A real-time algorithm for the correction of bright band effects in radar-derived precipitation estimation. J. Hydrometeor., 11, 1157–1171.  http://dx.doi.org/10.1175/2010JHM1201.1

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. http://dx.doi.org/10.1175/JHM-D-11-0145.1.

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. Hydrometeor., 15, 1795–1809.  http://journals.ametsoc.org/doi/abs/10.1175/JHM-D-13-0163.1

Zhang, J., K. Howard, C. Langston, B. Kaney, Y. Qi, L. Tang, H. Grams, Y. Wang, S. Cocks, S. Martinaitis, A. Arthur, K. Cooper, J. Brogden, D. Kitzmiller, 2015: Multi-Radar Multi-Sensor (MRMS) quantitative precipitation estimation: Initial operating capabilities. Bull. Amer. Meteor. Soc., 97, 621-638. http://dx.doi.org/10.1175/BAMS-D-14-00174.1.

Conference Manuscripts Conference Manuscripts

MRMS-General:

Howard, K., 2014: MRMS transition to NOAA operations. 30th Conf. on Environmental Information Processing Technologies. Atlanta, GA, Amer. Meteor. Soc., 2.2. https://ams.confex.com/ams/94Annual/webprogram/Paper242265.html

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. https://ams.confex.com/ams/95Annual/webprogram/Paper268534.html

Smith, T. M., D. L. Andra, Jr., M. P. Foster, G. J. Stumpf, D. W. Burgess, 2011: Research-to-Operations in the NOAA Hazardous Weather Testbed's Experimental Warning Program. Extended Abstracts, 1st Conf. on Transition of Research to Operations: Successes, Plans and Challenges, Seattle, WA, USA, American Meteorological Society, 823.

Smith, T. M., D. L. Andra, M. P. Foster, 2012: The NOAA Hazardous Weather Testbed's Experimental Warning Program. Proc. The Conference on Weather Warnings and Communication, Oklahoma City, OK, USA, AMS, J2.6.

Stumpf, G. J., D. M. Kingfield, J. G. LaDue, R. A. Prentice, S. B. Cocks, S. M. Martinaitis, T. C. Meyer, A. V. Bates, J. D. Hardy, C. S. Spannagle, M. J. Taraldsen, and A. C. Wood, 2016: The Multiple-Radar / Multiple-Sensor products: The first year of NWS operations. 32nd Conf. on Environmental Information Processing Technologies, New Orleans, LA, Amer Met. Soc., TJ7.3. https://ams.confex.com/ams/96Annual/webprogram/Paper288036.html

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 Met. Soc., 834. https://ams.confex.com/ams/96Annual/webprogram/Paper282713.html

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 Met. Soc., 835. https://ams.confex.com/ams/96Annual/webprogram/Paper282745.html

Zhang, J., S. Wang, and B. Clarke, 2004: WSR-88D reflectivity quality control using horizontal and vertical reflectivity structure.  Preprints, The 11th Conference on Aviation, Range, and Aerospace Meteorology. Amer. Meteor. Soc.  4-8 October 2004, Hyannis, MA. CD-ROM, paper 5.4.

 

MRMS-Severe:

Burnett, M. L., T. M. Smith, V. Lakshmanan, 2010: Improvements on Cluster Identification and Tracking in a New Circulation Detection Algorithm. Extended Abstracts, 26th Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, Atlanta, GA, USA, AMS, 53. http://ams.confex.com/ams/90annual/techprogram/paper_162496.htm

Cintineo, J. L., T. M. Smith, V. Lakshmanan, K. L. Ortega, 2009: A real-time automated method to determine forecast confidence associated with tornado warnings. Extended Abstracts, 25th Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, Phoenix, AZ, USA, American Meteorological Society, 4B.1.  http://ams.confex.com/ams/89annual/techprogram/paper_150730.htm

Cintineo, J. L., T. M. Smith, V. Lakshmanan, S. Ansari, 2011: An automated system for processing the Multi-Year Reanalysis Of Remotely-Sensed Storms (MYRORSS). Extended Abstracts, 27th Conference on Interactive Information Processing Systems (IIPS), Seattle, WA, USA, AMS, J9.3. http://ams.confex.com/ams/91Annual/webprogram/Paper182332.html.

Ferebee, T. R., K. L. Ortega, K. A. Scharfenberg, 2011: Evaluation of NWS storm-based warnings using gridded products. Preprints, 23rd Conference on Interactive Information Processing Systems, Seattle, WA, USA, American Meteorological Society, 11.  http://ams.confex.com/ams/91Annual/webprogram/Paper180618.html

Labriola, J., K. Ortega, D. Kingfield, M. Miller, 2013:  Investigating the relationship of multi-radar multi-sensor parameters to tornado intensity.  Available online here.

Manross, K. L., T. M. Smith, J. T. Ferree, and G. J. Stumpf, 2008: An on-demand user interface for requesting multi-radar, multi-sensor time accumulated products to support severe weather verification. Extended Abstracts, 24th Conf. on Interactive Information Processing Systems, New Orleans, LA, Amer. Meteor. Soc., P2.13.  http://ams.confex.com/ams/88Annual/techprogram/paper_134621.htm

Meyer, T. C., J. M. Erlingis, K. L. Ortega, 2010: Comparing radar signatures to high-resolution hail reports. Preprints, 26th Conference on Interactive Information Processing Systems, Atlanta, GA, USA, American Meteorological Society, 396.  http://ams.confex.com/ams/90annual/techprogram/paper_163028.htm

Mustered, S. K., K. L. Ortega, 2012:  Investigation of radar variables and near surface environments for developing a surface hail fall product. Extended Abstracts, 28th Conference on Interactive Information Processing Systems, New Orleans, LA, USA, American Meteorological Society, 14. https://ams.confex.com/ams/92Annual/webprogram/Paper201120.html

Ortega, K. L., T. M. Smith, G. J. Stumpf, J. Hocker, and L. López, 2005:  A comparison of multi-sensor hail diagnosis techniques.  Preprints, 21st Intl. Conf. on Interactive Information Processing Systems for Meteor., Oceanography, and Hydrology, San Diego, CA, Amer. Meteor. Soc., P1.11.

Ortega, K. L., T. M. Smith and G. J. Stumpf, 2006:  Verification of multi-sensor, multi-radar hail diagnosis techniques.  Preprints, Symp. on the Challenges of Severe Convective Storms.  Atlanta, GA, Amer. Meteor. Soc., P1.1.

Ortega, K. L., A. G. Kolodziej, J. Young, C. J. Wilson, A. Witt, T. M. Smith, 2008: Evaluating hail diagnosis techniques using high resolution verification. Extended Abstracts, 24th Conference on Severe Local Storms, Savannah, GA, USA, American Meteorological Society, CD-ROM, P6.5.  http://ams.confex.com/ams/24SLS/techprogram/paper_142039.htm

Ortega, K. L., 2010: Evaluating the use of reflectivity heights for hail detection with high-resolution hail reports. Preprints, 25th Conference on Severe Local Storms, Denver, CO, USA, American Meteorological Society, P4.13.  http://ams.confex.com/ams/25SLS/techprogram/paper_176163.htm

Ortega, K. L., T. M. Smith, J. Zhang, C. Langston, Y. Qi, S. E. Stevens, J. E. Tate, 2012: The multi-year reanalysis of remotely sensed storms (MYRORSS) project. Extended Abstracts, 26th Conference on Severe Local Storms, Nashville, TN, USA, American Meteorological Society, 74.  https://ams.confex.com/ams/26SLS/webprogram/Paper211413.html

Scharfenberg, K. A., T. M. Smith, and G. J. Stumpf, 2005:  The testing of NSSL multi-sensor applications and data from prototype platforms in NWS forecast operations.  Preprints, 21st Conf. on Wea. Analysis and Forecasting, Washington, DC, USA, Amer. Meteor. Soc., 6A.2.

Smith, T. M., K. L. Elmore, G. J. Stumpf, and V. Lakshmanan, 2003: Detection of rotation and boundaries using two-dimensional, local, linear least squares estimates of velocity derivatives.  Preprints, 31st Conf. on Radar Meteor., Seattle, WA, Amer. Meteor. Soc., 310-313.

Smith, T. M., and G. J. Stumpf, 2005:  Multi-sensor storm cell identification and analysis.  Preprints, 21st Intl. Conf. on Interactive Information Processing Systems for Meteor., Oceanography, and Hydrology, San Diego, CA, Amer. Meteor. Soc., P1.10.

Stumpf, G. J., T. M. Smith, K. L. Manross, and A. E. Gerard, 2003:  Warning Decision Support System - Integrated Information (WDSS-II).  Part II:  Real-time test at Jackson Mississippi NWSFO.  Preprints, 19th Intl. Conf. on Interactive Information and Processing Systems for Meteor., Oceanography, and Hydrology, Long Beach, CA, Amer. Meteor. Soc., P1.36 - CD preprints.

Stumpf, G. J., T. M. Smith, K. L. Manross, V. Lakshmanan, and K. D.  Hondl, 2003:  Severe weather warning application development at NSSL using multiple radars and multiple sensors.  Preprints, 31st Conf. on Radar Meteor., Seattle, WA, Amer. Meteor. Soc., 555-558.

Stumpf, G. J., T. M. Smith, V. Lakshmanan, K. L. Manross, and K. D. Hondl, 2004:  Status of Multiple‑Sensor Severe Weather Application Development at NSSL.   Preprints, 20th Intl. Conf. on Interactive Information and Processing Systems for Meteor., Oceanography, and Hydrology, Seattle, WA, Amer. Meteor. Soc., 12.3a - CD preprints.

Stumpf, G. J., T. M. Smith, and J. Hocker, 2004:  New Hail Diagnostic Parameters Derived by Integrating Multiple Radars and Multiple Sensors.  Preprints, 22nd Conference on Severe Local Storms, Hyannis, MA, Amer. Meteor. Soc., P7.8.

Stumpf, G. J., B. C. Baranowski, D. M. Kingfield, K. M. Kuhlman, K. L. Manross, C. W. Siewert, T. M. Smith, S. Stough, 2010: Real-time severe convective weather warning exercises at the Experimental Warning Program 2010 (EWP2010). Extended Abstracts, 25th Conference on Severe Local Storms, Denver, CO, USA, American Meteorological Society, 7B.2.

Stumpf, G. J., T. M. Smith, K. L. Ortega, S. Stough, 2011: Geospatial verification of experimental severe weather warnings. Preprints, 24th Conference on Weather and Forecasting, Seattle, WA, USA, American Meteorological Society, 99.  http://ams.confex.com/ams/91Annual/webprogram/Paper182827.html

Tilly, D. E., R. W. Przybylinski, T. M. Smith, 2006: Overview of the 2005 and Spring 2006 WDSS-II Demonstration at WFO St. Louis. Preprints, 23rd Conference on Severe Local Storms, St. Louis, MO, USA, AMS, CD-ROM, P5.2.  http://ams.confex.com/ams/23SLS/techprogram/paper_115487.htm

Visco, T. , V. Lakshmanan, T. M. Smith, K. L. Ortega, 2010: Diagnosis of azimuthal shear associated with tornadoes. Preprints, 26th Conference on Interactive Information Processing Systems, Atlanta, GA, USA, American Meteorological Society, 393.  http://ams.confex.com/ams/90annual/techprogram/paper_160516.htm

Wilson, C. J., K. L. Ortega, V. Lakshmanan, 2009: Evaluating multi-radar, multi-sensor hail diagnosis with high resolution hail reports. Extended Abstracts, 25th Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, Phoenix, AZ, USA, American Meteorological Society, P2.9.  http://ams.confex.com/ams/89annual/techprogram/paper_146206.htm

 

MRMS-QPE:

Brown, A. , S. Van Cooten, K. Howard, K. Willingham, J. Zhang, C. Langston, 2011: Analysis of National Mosaic and Multi-sensor Quantitative Precipitation Estimates during warm season rainfall events in Oklahoma. Preprints, Hydrologic Prediction and Verification for Water and Energy Resources and Other Applications- 25th Conference on Hydrology, Seattle, WA, USA, American Meteorological Society, 377.  http://ams.confex.com/ams/91Annual/webprogram/Paper179837.html

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. http://www.nwas.org/meetings/nwa2014/extendedabstracts/NWA2014_P1.66_Cocks_etal.pdf

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. https://ams.confex.com/ams/95Annual/webprogram/Paper268098.html

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. https://ams.confex.com/ams/37RADAR/webprogram/Paper275812.html

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. https://ams.confex.com/ams/37RADAR/webprogram/Paper275808.html

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. http://www.nwas.org/meetings/nwas15/abstracts-html/2579.html

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. http://www.nwas.org/meetings/nwas15/abstracts-html/2432.html

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 Met. Soc., 564. https://ams.confex.com/ams/96Annual/webprogram/Paper289616.html

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 Met. Soc., 565. https://ams.confex.com/ams/96Annual/webprogram/Paper289793.html

Dodson, A., S. Van Cooten, K. Howard, J. Zhang, X. Xu, 2008: Assessing Vertical Profiles of Reflectivity (VPR's) To Detect Extreme Rainfall: Implications for Flash Flood Monitoring and Prediction. Preprints, 22nd Conference on Hydrology- Session 1, Weather To Climate Scale Hydrological Forecasting, New Orleans, LA, USA, AMS, CD-ROM, 1.5.

Fang, M., J. Zhang, J.K. Williams, and J.A. Craig, 2008: Three-dimensional mosaic of the eddy dissipation rate fields from WSR-88Ds, The 13th Conf. on Aviation, Range, and Aerospace Meteorology. Amer. Meteor. Soc.  21–24 Jan. 2008, New Orleans, LA. paper P4.5.

Gourley, J.J., A.T. Arthur, J. Zhang, R.A. Maddox, K.W. Howard, and T. Vasquez, 2001: QIWI - A web-based flash flood monitoring tool. Preprints 13th International Conf. on Radar Meteor., Munich, Germany, Amer. Meteor. Soc., 17-19.

Gourley, J. J., J. Zhang, R. A. Maddox, C. M. Calvert, and K. W. Howard, 2001: A real-time precipitation monitoring algorithm - quantitative precipitation estimation and segregation using multiple sensors (QPE SUMS). Preprints, Symp. on Precipitation Extremes: Prediction, Impacts, and Responses. 14-19 January 2001, Albuquerque, NM.  Amer. Meteor. Soc., 57-60.

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. https://agu.confex.com/agu/fm14/meetingapp.cgi/Paper/10500

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.

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. https://ams.confex.com/ams/37RADAR/webprogram/Paper275252.html

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. http://www.nwas.org/meetings/nwas15/abstracts-html/2558.html

Lakshmanan, V., J. Zhang, and C. Langston, 2008: Quality control of Canadian radar reflectivity data. Proceedings, The 5th European Conference on Radar in Meteorology and Hydrology. 30 June – 4 July 2008, Helsinki, Finland.

Langston, C., and J. Zhang, 2004: An automated algorithm for radar beam occultation. Preprints, The 11th Conference on Aviation, Range, and Aerospace Meteorology. Amer. Meteor. Soc.  4-8 October 2004, Hyannis, MA.  CD-ROM, paper 5.16.

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. https://ams.confex.com/ams/95Annual/webprogram/Paper269004.html

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. http://www.nwas.org/meetings/nwa2014/extendedabstracts/NWA2014_D3.4_Martinaitis_etal.pdf

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. https://ams.confex.com/ams/95Annual/webprogram/Paper267157.html

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., 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 Met. Soc., 553. https://ams.confex.com/ams/96Annual/webprogram/Paper284055.html

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 Met. Soc., 3.1. https://ams.confex.com/ams/96Annual/webprogram/Paper284075.html

Moser, H. , J. Zhang, K. Howard, 2012: Automated identification of enhanced rainfall rates for radar-based QPE using the near storm environment data. Preprints, 26th Conf. on Hydrology, New Orleans, LA, USA, Amer. Meteor. Soc, CD-ROM, 6.3.  https://ams.confex.com/ams/92Annual/flvgateway.cgi/id/19495?recordingid=19495

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. http://www.nwas.org/meetings/nwas15/abstracts-html/2661.html

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 Met. Soc., 562. https://ams.confex.com/ams/96Annual/webprogram/Paper289600.html

Seo, D. J., C. R. Kondragunta, K. Howard, S. V. Vasiloff, and J. Zhang, 2005: The national mosaic and multisensor QPE (NMQ) project-status and plans for a community testbed for high-resolution multisensor quantitative precipitation estimation (QPE) over the United States. Preprints, 19th Conf. on Hydrology, Amer. Meteor. Soc., 10-13 Jan. 2005, San Diego, CA, CD-ROM, paper 1.3.

Tang, L., J. Zhang, Y. Wang, K. Howard, 2011: Identification of biological and anomalous propagation echoes in weather radar observations – an image processing approach. The 35th Conf. on Radar Meteorology. Amer. Meteor. Soc.  26–30 Sept. 2009, Pittsburg, PA. http://ams.confex.com/ams/35Radar/webprogram/Paper191296.html

Tang, L., J. Zhang, C. Langston, K. Howard, 2013: Quality Control of Reflectivity Field Using Co-polar Correlation Coefficient and Environmental Data. The 36th Conf. on Radar Meteorology. Amer. Meteor. Soc.  16–20 Sept. 2013, Breckenridge, CO.

Tang, L., J. Zhang, Y. Qi, C. Langston, K. Howard, 2013: Non-Standard Blockage Mitigation for National Radar QPE Products. The 36th Conf. on Radar Meteorology. Amer. Meteor. Soc.  16–20 Sept. 2013, Breckenridge, CO.

Tang, L., J. Zhang, Y. Wang, 2013: Polarimetric Weather Radar Applications in Severe Weather. The 2nd China-US Symposium on Meteorology. 25–27 June. 2013, Qingdao, Shandong Province, China.

Tang, L., J. Zhang, Y. Wang, 2013: Uncertainty Analyses of the Operational WSR-88D Hydrometeor Classification Product. The 36th Conf. on Radar Meteorology. Amer. Meteor. Soc.  16–20 Sept. 2013, Breckenridge, CO.

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. https://ams.confex.com/ams/37RADAR/webprogram/Paper276107.html

Van Cooten, S., K. Kelleher, K. Howard, J. Zhang, et al., 2011: Coastal and Inland FLooding Observation and Warning (CI-FLOW) Project-An Assesment of Research Outcomes From An Integrated Hydrologic Prediction System for Coastal Watersheds. Preprints, 25th Conference on Hydrology, Seattle, WA, USA, American Meteorological Society, 7.4.

Vasiloff, S. , J. Zhang, K. Howard, J. Krause, L. Tang, S. B. Cocks, H. Moser, D. S. Berkowitz, C. Langston, B. Kaney, 2012: Dual-polarization and Q2 algorithm performance during Hurricane Irene. Preprints, 26th Conf. on Hydrology, New Orleans, LA, USA, Amer. Meteor. Soc, CD-ROM, 8.3.  https://ams.confex.com/ams/92Annual/flvgateway.cgi/id/20324?recordingid=20324

Wang, B., J. Zhang, W. Xia, K. Howard, and X. Xu, 2008: Analysis of radar and gauge rainfall during the warm season in Oklahoma, The 22nd Conf. on Hydrology. Amer. Meteor. Soc.  20–24 Jan. 2008, New Orleans, LA. paper P2.1.

Wang, Y., J. Zhang, A. V. Ryzhkov, L. Tang, and K. Howard, 2011: Quantitative precipitation estimation using specific differential propagation phase in typhoon system in Taiwan.  The 35th Conf. on Radar Meteorology. Amer. Meteor. Soc.  26–30 Sept. 2009, Pittsburg, PA. http://ams.confex.com/ams/35Radar/webprogram/Paper191443.html

Wang, Y., P. Zhang, A. Rychkov, J. Zhang, P.-L. Chang, 2013: The application of specific attenuation for rainfall estimation in complex terrain in Taiwan. The 36th Conf. on Radar Meteorology. Amer. Meteor. Soc.  16–20 Sept. 2013, Breckenridge, CO.

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. https://ams.confex.com/ams/37RADAR/webprogram/Paper276103.html

Zhang, J., J. J. Gourley, W. Xia, and K. Howard, 2002: 3D multi-radar reflectivity mosaic for the CIWS domain. Preprints, The 10th Conference on Aviation, Range, and Aerospace Meteorology. 13-16 May 2002, Portland, Oregon, J107-J109.

Zhang, J., K. Howard, W. Xia, and J.J. Gourley, 2003: Comparison of Objective Analysis Schemes for the WSR-88D Radar Data. Preprints, The 31th Conference on Radar Meteorology. 5-12 August 2003, Seattle, Washington, 907-910.

Zhang, J., and S. Wang, 2004: An automated 2-D multi-pass velocity dealiasing scheme.  Preprints, The 11th Conference on Aviation, Range, and Aerospace Meteorology. Amer. Meteor. Soc.  4-8 October 2004, Hyannis, MA. CD-ROM, paper 5.5.

Zhang, J., K. Howard, and S. Wang, 2006: Single radar Cartesian grid and adaptive radar mosaic system.  Preprints, The 12th Conference on Aviation, Range, and Aerospace Meteorology. Amer. Meteor. Soc.  29 Jan. -2 Feb. 2006, Atlanta, GA.  CD-ROM, paper 1.8.

Zhang, J., C. Langston, and K. Howard, 2006: Vertical profiles of reflectivity for different precipitation regimes. Proceedings, The 4th European Conference on Radar in Meteorology and Hydrology. 18-22 Sept. 2006, Barcelona, Spain, 225-228.

Zhang, J., C. Langston, K. Howard, and B. Clarke, 2006: Gap-filling in 3D radar mosaic analysis using vertical profile of reflectivity.  Preprints, The 12th Conference on Aviation, Range, and Aerospace Meteorology. Amer. Meteor. Soc.  29 Jan. -2 Feb. 2006, Atlanta, GA.  CD-ROM, paper 1.9.

Zhang, J., K. Howard, and X. Xu, 2008: A warm season radar QPE algorithm using adaptive Z-R relationships.  Proceedings (CD-ROM), World Environmental and Water Resources Congress 2008. Amer. Soc. Civil Engineers, 12–16 May 2008, Honolulu, HI.

Zhang, J., C. Langston, and K. Howard, et al., 2008: Three-dimensional radar mosaic integrating WSR-88Ds and Canadian radar network.  Preprints, The 13th Conf. on Aviation, Range, and Aerospace Meteorology. Amer. Meteor. Soc.  21–24 Jan. 2008, New Orleans, LA. paper P4.4.

Zhang, J., and Y. Qi, 2009: Correction of bright band effects in radar observations from plain areas. Preprints, The 34th Conf. on Radar Meteorology. Amer. Meteor. Soc.  5–9 Oct. 2009, Williamsburg, VA. Paper P14.5.

Zhang, J. , Y. Qi, K. Howard, 2012: A real-time algorithm for merging radar QPEs with rain gauge observations and orographic precipitation climatology. Preprints, The 7th European Conf. on Radar in Meteorology and Hydrology, Toulouse, France, Météo France, CD-ROM, QPE_419.

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.  Proceedings, International Symposium on Weather Radar and Hydrology, IAHS Publ. 351-25 (2012).

Zhang, J., K Howard, S. Vasiloff, C. Langston, B. Kaney, Y. Qi, L. Tang, H. Grams, D. Kitzmiller, and J. Levit, 2014: Initial operating capabilities of quantitative precipitation estimation in the multi-radar multi-sensor system. 28th Conf. on Hydrology, Amer. Meteor. Soc. 2-6 Feb. 2014, Atlanta, GA.  Paper 5.3. https://ams.confex.com/data/manuscript/ams/94Annual/Paper_240487_manuscript_1686_0.pdf.

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. https://ams.confex.com/ams/37RADAR/webprogram/Paper275352.html

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. http://www.nwas.org/meetings/nwas15/abstracts-html/2641.html

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 Met. Soc., 8.1. https://ams.confex.com/ams/96Annual/webprogram/Paper283260.html