Olivier Prat

Olivier Prat

Quantitative Precipitation Estimation Phone: +1 828.257.3141 Email: opprat@ncsu.edu Orcid: http://orcid.org/0000-0002-9289-5723

Biography

Dr. Olivier Prat has worked on precipitation science for over 10 years. His work bridges theoretical modeling and observations. As a postdoctoral researcher at Duke University, he developed dynamic algorithms for the evolution of the raindrop spectra under the influence of microphysical processes to be used for satellite and radar rainfall estimation. Since joining NCICS in 2010, Dr. Olivier Prat has worked on quantitative precipitation estimates (QPEs) derived from satellite, radar, and surface observations with a focus on rainfall patterns and precipitation extremes at various spatial and temporal scales. His most recent work is part of a broader effort to evaluate long-term multi-sensor QPEs in the perspective of developing Climate Data Records (CDRs) for precipitation. Dr. Olivier Prat authored/co-authored over 20 peer-reviewed scientific publications. He obtained a PhD in Physics from the University of Montpellier II (France), a Masters Degree in Fluid Mechanics from the University of Aix-Marseille II, and an Engineering Degree from the Ecole Centrale de Marseille.

Dr. Prat joined NCICS as a Postdoctoral Research Associate in August 2010 and moved to a Research Associate position in October, 2012.

Publications

2020

Morrison, H., M. van Lier-Walqui, A. M. Fridlind, W. W. Grabowski, J. Y. Harrington, C. Hoose, A. Korolev, M. R. Kumjian, J. A. Milbrandt, H. Pawlowska, D. J. Posselt, O. P. Prat, K. J. Reimel, S.-I. Shima, B. van Diedenhoven, and L. Xue, 2020: Confronting the challenge of modeling cloud and precipitation microphysics. Journal of Advances in Modeling Earth Systems, 12, e2019MS001689. http://dx.doi.org/10.1029/2019ms001689

Morrison, H., M. van Lier-Walqui, M. R. Kumjian, and O. P. Prat, 2020: A Bayesian approach for statistical-physical bulk parameterization of rain microphysics, Part I: Scheme description. Journal of the Atmospheric Sciences, 77, 1019–1041. http://dx.doi.org/10.1175/JAS-D-19-0070.1

Prat, O. P., and B. R. Nelson, 2020: Satellite Precipitation Measurement and Extreme Rainfall. In: Satellite Precipitation Measurement, Volume 2, V. Levizzani, C. Kidd, D.B. Kirshbaum, C.D. Kummerow, K. Nakamura, and F.J. Turk, Eds., Springer, 761–790. https://doi.org/10.1007/978-3-030-35798-6_16

van Lier-Walqui, M., H. Morrison, M. R. Kumjian, K. J. Reimel, O. P. Prat, S. Lunderman, and M. Morzfeld, 2020: A Bayesian approach for statistical-physical bulk parameterization of rain microphysics, Part II: Idealized Markov chain Monte Carlo experiments. Journal of the Atmospheric Sciences, 77, 1043–1064. http://dx.doi.org/10.1175/JAS-D-19-0071.1

2019

Kumjian, M. R., C. P. Martinkus, O. P. Prat, S. Collis, M. van Lier-Walqui, and H. C. Morrison, 2019: A Moment-Based Polarimetric Radar Forward Operator for Rain Microphysics. Journal of Applied Meteorology and Climatology, 58, 113-130. http://dx.doi.org/10.1175/JAMC-D-18-0121.1

Morrison, H., M. R. Kumjian, C. P. Martinkus, O. P. Prat, and M. van Lier-Walqui, 2019: A general N-moment normalization method for deriving rain drop size distribution scaling relationships. Journal of Applied Meteorology and Climatology, 58, 247-267. http://dx.doi.org/10.1175/JAMC-D-18-0060.1

2018

Ferraro, R., B. R. Nelson, T. Smith, and O. P. Prat, 2018: The AMSU-based Hydrological Bundle Climate Data Record – Description and comparison with other data sets, Remote Sensing, 10, 1640. https://doi.org/10.3390/rs10101640

Kim, B., D.-J. Seo, S. J. Noh, O. P. Prat, and B. R. Nelson, 2018: Improving multisensor estimation of heavy-to-extreme precipitation via conditional bias-penalized optimal estimation. Journal of Hydrology, 556, 1096-1109. http://dx.doi.org/10.1016/j.jhydrol.2016.10.052

2016

Nelson, B. R., O. P. Prat, D. J. Seo, and E. Habib, 2016: Assessment and implications of NCEP Stage IV quantitative precipitation estimates for product intercomparisons. Weather and Forecasting, 31, 371-394. http://dx.doi.org/10.1175/WAF-D-14-00112.1

Prat, O. P., and B. R. Nelson, 2016: On the Link between Tropical Cyclones and Daily Rainfall Extremes Derived from Global Satellite Observations. Journal of Climate, 29, 6127-6135. http://dx.doi.org/10.1175/JCLI-D-16-0289.1

2015

Ashouri, H., K.-L. Hsu, S. Sorooshian, D. K. Braithwaite, K. R. Knapp, L. D. Cecil, B. R. Nelson, and O. P. Prat, 2015: PERSIANN-CDR: daily precipitation Climate Data Record from multi-satellite observations for hydrological and climate studies. Bulletin of the American Meteorological Society, 96, 69-83. http://dx.doi.org/10.1175/BAMS-D-13-00068.1

Prat, O. P., and B. R. Nelson, 2015: Evaluation of precipitation estimates over CONUS derived from satellite, radar, and rain gauge data sets at daily to annual scales (2002–2012). Hydrology and Earth System Sciences, 19, 2037-2056. http://dx.doi.org/10.519 4/hess-19-2037-2015

2014

Kumjian, M. R., and O. P. Prat, 2014: The impact of raindrop collisional processes on the polarimetric radar variables. Journal of the Atmospheric Sciences. 71, 3052-3067. http://doi.org/10.1175/JAS-D-13-0357.1

Prat, O. P., and B. R. Nelson, 2014: Characteristics of annual, seasonal, and diurnal precipitation in the Southeastern United States derived from long-term remotely sensed data. Atmospheric Research. 144, 4-20. http://doi.org/10.1016/j.atmosres.2013.07.022

2013

Prat, O. P., and B. R. Nelson, 2013: Mapping the world’s tropical cyclone rainfall contribution overland using the TRMM Multi-satellite precipitation analysis. Water Resources Research. 49, 7236–7254. http://doi.org/10.1002/wrcr.20527

Prat, O. P., and B. R. Nelson, 2013: Precipitation contribution of tropical cyclones in the Southeastern United States from 1998 to 2009 using TRMM satellite data. Journal of Climate. 26, 1047-1062. http://doi.org/10.1175/JCLI-D-11-00736.1

2012

Prat, O. P., A. P. Barros, and F. Y. Testik, 2012: On the influence of raindrop collision outcomes on equilibrium drop size distributions. Journal of the Atmospheric Sciences. 69, 1534-1546. http://doi.org/10.1175/JAS-D-11-0192.1

2010

Prat, O. P., and A. P. Barros, 2010: Assessing satellite-based precipitation estimates in the Southern Appalachian Mountains using rain gauges and TRMM PR. Advances in Geosciences. 25, 143-153. http://doi.org/10.5194/adgeo-25-143-2010

Prat, O. P., and A. P. Barros, 2010: Ground observations to characterize the spatial gradients and vertical structure of orographic precipitation: Experiments in the inner region of the Great Smoky Mountains. Journal of Hydrology. 391, 141-156. http://doi.org/10.1016/j.jhydrol.2010.07.013

Barros, A. P., O. P. Prat, and F.Y. Testik, 2010: Size distribution of raindrops. Nature Physics. 6, 232. http://dx.doi.org/10.1038/nphys1646

2009

Prat, O. P., and A. P. Barros, 2009: Combining a rain microphysical model and observations: implications for radar rainfall estimation. 2009 IEEE radar conference, 1-2, 805-808. http://doi.org/10.1109/RADAR.2009.4977122

Prat, O. P., and A. P. Barros, 2009: Exploring the transient behavior of Z-R relationships: implications for radar rainfall estimation. Journal of Applied Meteorology and Climatology. 48, 2127-2143. http://doi.org/10.1175/2009JAMC2165.1

2008

Barros, A. P., O. P. Prat, P. Shrestha, F. Y. Testik, and L. F. Bliven. Revisiting Low and List (1982): evaluation of raindrop collision using laboratory observations and modeling. Journal of the Atmospheric Sciences, 65, 2983-2993. http://doi.org/10.1175/2008JAS2630.1

Prat, O. P., A. P. Barros, and C. R. Williams, 2008: An intercomparison of model simulations and VPR estimates of the vertical structure of warm stratiform rainfall during TWP-ICE. Journal of Applied Meteorology and Climatology, 47, 2797-2815. http://doi.org/10.1175/2008JAMC1801.1

2007

Prat, O. P., and A. P. Barros, 2007: A robust numerical solution of the stochastic collection-breakup equation for warm rain. Journal of Applied Meteorology and Climatology, 46, 1480-1497. http://doi.org/10.1175/JAM2544.1

Prat, O. P., and A. P. Barros, 2007: Exploring the use of a column model for the characterization of microphysical processes in warm rain: results for a homogeneous rainshaft model. Advances in Geosciences, 10, 145-152. http://doi.org/10.5194/adgeo-10-145-2007

Prat, O. P., and J. J. Ducoste, 2007: Simulation of flocculation in stirred vessels: Lagrangian versus Eulerian. Chemical Engineering Research and Design. 85: 207-219. http://doi.org/10.1205/cherd05001

Prat, O. P., T. Cloitre, and R. L. Aulombard, 2007: Thermal and mechanical properties of Silicon Tetrachloride (SiCl4) and Germanium Tetrachloride (GeCl4) on their vapor and liquid phases. Chemical Vapor Deposition, 13, 199-203. http://doi.org/10.1002/cvde.200604242

2006

Prat, O. P., and J. J. Ducoste, 2006: Modeling spatial distribution of floc size in turbulent processes using quadrature method of moment and computational fluid dynamics. Chemical Engineering Science, 61, 75-86. http://doi.org/10.1016/j.ces.2004.11.070

Presentations

2020

Morrison, H., M. Van Lier-Walqui, K. J. Reimel, O. P. Prat, M. R. Kumjian, S. Lunderman, and M. Morzfeld, 2020: Hierarchical approach to cloud microphysics scheme development using observations, physical models, Bayesian inference, and machine learning. SIAM Conference on Mathematics of Planet Earth (MPE20), Garden Grove, CA (online), August 3-14, 2020.

Nelson, B. R., O. P. Prat, and A. Arguez, 2020: Alternative precipitation normals based on NEXRAD quantitative precipitation estimates 100th Annual Meeting of the American Meteorological Society, Boston, MA, January 12-16, 2020.

Prat, O. P., A. M. Courtright, R. D. Leeper, B. R. Nelson, R. Bilotta, J. Adams, and S. Ansari, 2020: Operational near-real time drought monitoring using global satellite precipitation estimates. 2020 EGU General Assembly, Vienna, Austria (online), May 3-8, 2020.

Van Lier-Walqui, M., H. Morrison, M. R. Kumjian, K. J. Reimel, O. P. Prat, S. Lunderman, and M. Morzfeld, 2020: Statistical-physical microphysics parameterization schemes: A proposed framework for physically based microphysics schemes that learn from observations. 100th Annual Meeting of the American Meteorological Society, Boston, MA, January 12-16, 2020.

2019

Courtright, A. M., O. P. Prat, R. Bilotta, R. D. Leeper, B. R. Nelson, S. Ansari, K. Bevington, and A. Lang, 2019: Developing an interactive global drought information dashboard using remotely sensed near-real time monitoring. 2019 AGU Fall Meeting, San Francisco CA, December 9-13, 2019.

Prat, O. P., M. R. Kumjian, K. J. Riemel, H. Morrison, and M. Van Lier-Walqui, 2019: A comparison of bulk- and bin-microphysical schemes for warm rain processes and their polarimetric radar fingerprints : sensitivity analysis and implications for microphysical parameterizations. 2019 AGU Fall Meeting, San Francisco, CA, December 9-13, 2019.

Prat, O. P., R. D. Leeper, J. L. Matthews, B. R. Nelson, J. Adams, and S. Ansari, 2019: Using remotely sensed precipitation information and vegetation observations for early drought detection and near-real time monitoring on a global scale. 99th Annual Meeting of the American Meteorological Society, Phoenix, AZ, January 6-10, 2019.

Prat, O. P., B. R. Nelson, A. B. Courtright, R. D. Leeper, J. L. Matthews, and S. Ansari, 2019: Using remotely sensed precipitation information and vegetation observation from the NOAA/Climate Data Record (CDR) program for early drought detection and near-real time monitoring on a global scale. 2019 AMS Joint Satellite Conference, Boston, MA, September 28 - October 04, 2019.

Riemel, K. J., M. Van Lier-Walqui, M. R. Kumjian, O. P. Prat, and H. Morrison, 2019: How much can we learn about rain microphysics from polarimetric radar observations? An investigation of information content and parameter estimation using the Bayesian Observationally-constrained Statistical-physical Scheme (BOSS). 2019 AGU Fall Meeting, San Francisco CA, December 9-13, 2019.

Van Lier-Walqui, M., H. Morrison, M. R. Kumjian, C. Martinkus, O. P. Prat, and K. J. Reimel, 2019: Probabilistic observational constraint of a microphysics scheme with flexible structural complexity. 2019 ARM/ASR Joint User Facility and PI Meeting, Rockville, MD, June 10-13, 2019.

2018

Kumjian, M. R., C. P. Martinkus, O. P. Prat, S. Collis, H. Morrison, and M. Van Lier-Walqui, 2018: A moment-based polarimetric radar forward operator for rain microphysics. ERAD 2018: 10th European Conference on Radar in Meteorology and Hydrology, Ede-Wageningen, Netherlands, July 2-6, 2018.

Kumjian M. R., C. Martinkus, O. P. Prat, M. Van Lier-Walqui, H. Morrison, and S. Collis, 2018: General moment-based methods for DSD normalization and a polarimetric radar forward operator. 2018 ARM/ASR Joint User Facility and PI Meeting, Vienna, VA, March 19-23, 2018.

Morrison, H., M. van Lier-Walqui, M. R. Kumjian, and O. P. Prat, 2018: Uncertainty in microphysical models and the development of a Bayesian approach for statistical-physical parameterization of warm microphysics. 15th AMS Conference on Cloud Physics, Vancouver, Canada, July 9-13, 2018.

Nelson, B. R., and O. P. Prat, 2018: Maximum precipitation estimates from five environmental data records with varying resolutions and periods of record. 2018 AGU Fall Meeting, Washington, DC, December 10-14, 2018.

Prat, O. P., R. D. Leeper, J. E. Bell, B. R. Nelson, J. Adams, and S. Ansari, 2018: Toward earlier drought detection using remotely sensed precipitation data from the Reference Environmental Data Record (REDR) CMORPH. 2018 EGU General Assembly, Vienna, Austria, April 8-13, 2018.

Prat, O. P., R. D. Leeper, B. R. Nelson, J. Adams, and S. Ansari, 2018: Toward earlier drought detection using remotely sensed precipitation data and application to the Carolinas. Carolinas Climate Resilience Conference. Columbia, SC, October 29-31, 2018.

Prat, O. P., R. D. Leeper, J. L. Matthews, B. R. Nelson, J. Adams, and S. Ansari, 2018: Toward earlier drought detection using remotely sensed precipitation information and vegetation observations from the Reference Environmental Data Record (REDR) program. 2018 AGU Fall Meeting, Washington, DC, December 10-14, 2018.

Riemel, K. J., M. Van Lier-Walqui, M. R. Kumjian, O. P. Prat, and H. Morrison, 2018: How much can we learn about rain microphysics from polarimetric radar observations? An investigation of information content and parameter estimation using the Bayesian Observationally-constrained Statistical-physical Scheme (BOSS). 2018 AGU Fall Meeting, Washington, DC, December 10-14, 2018.

Shannon, A., S. Ingram, M. VonHegel, O. P. Prat, B. R. Nelson, M. Hutchins, and A. Stein, 2018: Utilizing precipitation estimates from NASA and NOAA earth observations satellites to enhance decision support for extreme events in the Carolinas. Carolinas Climate Resilience Conference. Columbia, SC, October 29-31, 2018.

Van Lier-Walqui, M., H.. Morrison, M. R. Kumjian, O. P. Prat, and K. Riemel, 2018: How best to add structural complexity to cloud microphysics parameterizations? 2018 AGU Fall Meeting, Washington DC, December 10-14, 2018.

Van Lier-Walqui, M., M. R. Kumjian, H. Morrison, O. P. Prat, J. Turk, K. Riemel, J. Harrington, A. Jensen, and R. Schrom, 2018: Estimation of observational and forward-simulators uncertainties in the context of microphysical studies using doppler spectra and polarimetric radar observations. ERAD 2018: 10th European Conference on Radar in Meteorology and Hydrology, Ede-Wageningen, Netherlands, July 2-6, 2018.

Van Lier-Walqui, M., M. R. Kumjian, H. Morrison, O. P. Prat, K. Riemel, J. Harrington, A. Jensen, and R. Schrom, 2018: Leveraging radar observations to probabilistically inform new classes of microphysical parameterization schemes. ERAD 2018: 10th European Conference on Radar in Meteorology and Hydrology, Ede-Wageningen, Netherlands, July 2-6, 2018.

Van Lier-Walqui, H. Morrison, M. R. Kumjian, M., C. Martinkus, O. P. Prat, and K. J. Reimel, 2018: Probabilistic observational constraint of a microphysics scheme with flexible structural complexity. 2018 ARM/ASR Joint User Facility and PI Meeting, Vienna, VA, March 19-23, 2018.

2017

Kim, B., S. Noh, D.-J. Seo, O. P. Prat, and B. R. Nelson, 2017: Improving multi-sensor estimation of heavy-to-extreme precipitation via conditional bias-penalized optimal estimation. 97th Annual Meeting of the American Meteorological Society, Seattle, WA, January 22-26, 2017.

Kumjian M. R., C. Martinkus, O. P. Prat, M. Van Lier-Walqui, and H. Morrison, 2017: Development of a Polarimetric Radar Forward Operator for the Bayesian Observationally Constrained Statistical-physical Scheme (BOSS). 2017 ARM/ASR Joint User Facility and PI Meeting, Vienna, VA, March 13-16, 2017.

Kumjian, M. R., C. Martinkus, O. P. Prat, S. Collis, H. Morrison, and M. Van Lier-Walqui, 2017: A moment-based polarimetric radar forward operator for rain microphysics. 2017 AGU Fall Meeting, New Orleans, LA, December 11-15, 2017.

Martinkus, C., M. R. Kumjian, O. P. Prat, S. Collis, M. van Lier-Walqui, and H. Morrison, 2017: Development of a moment-based polarimetric radar forward operator, 38th Conference on Radar Meteorology, Chicago, IL, August 28 – September 1, 2017.

Morrison, H., M. R. Kumjian, O. P. Prat, M. van Lier-Walqui, and C. Martinkus, 2017: A Generalized drop size distribution normalization method for bulk microphysics schemes. 2017 AGU Fall Meeting, New Orleans, LA, December 11-15, 2017.

Nelson, B. N., O. P. Prat, and R. D. Leeper, 2017: Use of NEXRAD radar-based observations for quality control of in-situ rain gauge measurements. 2017 AGU Fall Meeting, New Orleans, LA, December 11-15, 2017.

Nelson, B. R, O. P. Prat, S. E. Stevens, J. Zhang, K. Howard, and Y. Qi, 2017: NOAA’s NEXRAD reanalysis – Use case and applications. 23rd AMS Conference on Applied Climatology, Asheville, NC, June 26-28, 2017.

Prat, O. P., B. R. Nelson, and R. Ferraro, 2017: Evaluation of the AMSU-A,B Hydro-Bundle suite of products for hydrological and climate applications. 23rd AMS Conference on Applied Climatology, Asheville, NC, June 26-28, 2017.

Prat, O. P., B. R. Nelson, E. Nickl, and R. Ferraro, 2017: Evaluation of daily extreme precipitation derived from long-term global satellite Quantitative Precipitation Estimates (QPEs). 2017 AGU Fall Meeting, New Orleans, LA, December 11-15, 2017.

Van Lier-Walqui, M., M. R. Kumjian, C. Martinkus, H. Morrison, and O. P. Prat, 2017: Constraining and estimating microphysical parameterization uncertainty using polarimetric radar observations and the Bayesian Observationally-constrained Statistical-physical Scheme (BOSS), a novel probabilistic microphysics framework. 30th AMS Conference on Climate Variability and Change, 24th AMS Conference on Probability and Statistics in the Atmospheric Sciences, and the 16th AMS Conference on Artificial Intelligence and its Applications to the Environmental Sciences, Baltimore, MD, July 28-29, 2017.

Van Lier-Walqui, M., H. Morrison, M. R. Kumjian, O. P. Prat, and C. Martinkus, 2017: The Bayesian Observationally Constrained Statistical-physical Scheme (BOSS), a novel microphysical parameterization framework that effectively leverages uncertain observational information. 2017 ARM/ASR Joint User Facility and PI Meeting, Vienna, VA, March 13-16, 2017.

2016

Kumjian, M. R., O. P. Prat, M. Van Lier-Walqui, H. Morrison, and C. Martinkus, 2016: Using polarimetric radar observations and probabilistic inference to develop the Bayesian Observationally-constrained Statistical physical Scheme (BOSS), a novel microphysical parameterization framework. 2016 AGU Fall Meeting, San Francisco, CA, December 12-16, 2016.

Morrison, H., M. v. Lier-Walqui, M. R. Kumjian, and O. P. Prat, 2016: Synthesis of observations and models using a new Bayesian framework for microphysical parameterization. 17th International Conference on Clouds and Precipitation, Manchester, UK, July 25-29, 2016.

Nelson, B. R., O. P. Prat, and S. E. Stevens, 2016: Assessment of NOAA’s NEXRAD reanalysis. 2016 AGU Fall Meeting, San Francisco, CA, December 12-16, 2016.

Prat, O. P. , R. D. Leeper, S. E. Stevens, B. R. Nelson, D. R. Easterling, and K. E. Kunkel, 2016: Long-term quantification of extreme precipitation in relation with tropical and extra-tropical cyclonic activity over the Carolinas. Carolinas Climate Resilience Conference, Charlotte, NC, September 12-14, 2016.

Prat, O. P., and B. R. Nelson, 2016: Evaluation of satellite Quantitative Precipitation Estimates (QPEs) products. 2016 AGU Fall Meeting, San Francisco, CA, December 12-16, 2016.

Prat, O. P., B. R. Nelson, and R. Ferraro, 2016: Evaluation of satellite Quantitative Precipitation Estimates (QPEs) products. CICS Science Conference, College Park, MD, November 29 - December 1, 2016.

Prat, O. P. , B. R. Nelson, E. Nickl, R. Adler, R. Ferraro, S. Sorooshian, and P. Xie, 2016: Global evaluation of satellite based Quantitative Precipitation Estimates (QPEs) from the Reference Environmental Data Records (REDRs), EGU General Assembly, Vienna, Austria, April 17-22, 2016.

Van Lier-Walqui, M., H. Morrison, M. R. Kumjian, and O. P. Prat, 2016: Rain microphysics uncertainty quantification and development of a polarimetric radar forward simulator for the Bayesian Observationally-constrained Statistical-physical Scheme (BOSS). 2016 AGU Fall Meeting, San Francisco, CA, December 12-16, 2016.

2015

Barros, A. P., A. M. Wilson, D. K. Miller, J. Tao, D. P. Genereux, O. P. Prat, W. A. Petersen, N. A. Brunsell, M. D. Petters, and Y. Duan, 2015: Science-grade observing systems as process observatories: Mapping and understanding nonlinearity and multiscale memory with models and observations. 2015 AGU Fall Meeting, San Francisco, CA, December 14-18, 2015.

Kim, B., D.-J. Seo, B. R. Nelson, and O. P. Prat, 2015: Improving Multisensor Precipitation Estimation via Conditional Bias-Penalized Optimal Estimation. 2015 EWRI World Environmental & Water Resources Congress, Austin, TX, May 17-21, 2015.

Nelson, B. R., D. Kim, O. P. Prat, S. E. Stevens, J. Zhang, and K. Howard, 2015: NOAA's NEXRAD Reprocessing Effort - Bias assessment and adjustment of a long-term high-resolution quantitative precipitation estimates. 37th AMS conference on radar meteorology, Norman, OK, September 13-18, 2015.

Nelson, B. R., O. P. Prat, and L. Vasquez, 2015: Precipitation Climate Data Records. 2015 AGU fall meeting, San Francisco, CA, December 14-18, 2015.

Prat, O. P. , B. R. Nelson, S. E. Stevens, E. Nickl, D.-J. Seo, B. Kim, J. Zhang, and Y. Qi, 2015: Merging radar Quantitative Precipitation Estimates (QPEs) from the high-resolution NEXRAD reanalysis over CONUS with rain-gauge observations. 2015 AGU fall meeting, San Francisco, CA, December 14-18, 2015.

Prat, O. P. , B. R. Nelson, S. E. Stevens, E. Nickl, and L. Vasquez, 2015: Toward the development of an evaluation framework of climate data records for precipitation. 2015 NOAA Climate Data Record (CDR) Program Annual Meeting, Asheville, NC, August 3-7, 2015.

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 AMS conference on radar meteorology, Norman, OK, September 13-18, 2015.

2014

Gassert, K. , K. Kunkel, B. R. Nelson, O. P. Prat, and S. E. Stevens, 2014: Examination of the spatial correlation between gauge precipitation data and gridded radar data for the determination of sufficient in-situ network coverage. 2014 AGU Fall Meeting, San Francisco, CA, December 15-19, 2014.

Kumjian, M. R., and O. P. Prat., 2014: The impact of raindrop collisional processes on the polarimetric radar variables. ERAD 2014: 8th European Conference on Radar in Meteorology and Hydrology, Garmisch-Partenkirchen, Germany, September 1-5, 2014.

Leeper, R. D., O. P. Prat, and B. O. Blanton, 2014: Evaluating the sensitivity of the Weather Research and Forecasting (WRF) model for tropical cyclones impacting the Carolinas. Carolinas Climate Resilience Conference, Charlotte, North Carolina, April 28-29, 2014.

Nelson, B. R. , S. E. Stevens, O. P. Prat, C. Langston, K. Ortega, J. Zhang, Y. Qi, K. Howard, and T. Smith, 2014: The National Mosaic and Multi-sensor Quantitative Precipitation Estimate (NMQ/Q2) reanalysis effort. International Weather Radar and Hydrology symposium. International Weather Radar and Hydrology Symposium, Washington, DC, April 7-10, 2014.

Prat, O. P., and M. R. Kumjian, 2014: Transient behavior of polarimetric signatures of warm rain microphysical processes. International Weather Radar and Hydrology Symposium, Washington, DC, April 7-10, 2014.

Prat, O. P. , R. D. Leeper, and B. O. Blanton, 2014: Comparison of WRF model-simulated TCs and multi-sensor precipitation estimates over the Carolinas. Carolinas Climate Resilience Conference, Charlotte, North Carolina, April 28-29, 2014.

Prat, O. P. , and B. R. Nelson, 2014: Toward the development of an evaluation framework of Climate Data Records for precipitation: A characterization of CONUS rainfall using a suite of satellite, radar, and rain gauge QPE products. 94th annual meeting of the American Meteorological Society, Atlanta, Georgia, February 2-6, 2014.

Prat, O. P. , B. R. Nelson, S. E. Stevens, and D.-J. Seo, 2014: Long-term large-scale bias-adjusted precipitation estimates at high spatial and temporal resolution derived from the National Mosaic and Multi-sensor QPE (NMQ/Q2) precipitation reanalysis over CONUS. ERAD 2014: 8th European Conference on Radar in Meteorology and Hydrology, Garmish-Partenkirchen, Germany, September 1-5, 2014.

Prat, O. P. , B. R. Nelson, S. E. Stevens, D.-J. Seo, and B. Kim, 2014: Long-term large-scale bias-adjusted precipitation estimates at high spatial and temporal resolution derived from the National Mosaic and Multi-sensor QPE (NMQ/Q2) precipitation reanalysis over CONUS. 2014 AGU fall meeting, San Francisco, CA, USA, December 15-19, 2014.

Prat, O. P. , B. R. Nelson, S. E. Stevens, D.-J. Seo, J. Zhang, and K. Howard, 2014: Assessment of bias in the National Mosaic and Multi-Sensor QPE (NMQ/Q2) reanalysis radar-only estimate. 2014 AGU fall meeting, San Francisco, CA, USA, December 15-19, 2014.

Prat, O. P. , B. R. Nelson, and L. Vasquez, 2014: Characterization of CONUS rainfall using a multi-sensor approach: Evaluation of radar-based, satellite-based, and ground-based QPE products. International Weather Radar and Hydrology Symposium, Washington, DC, April 7-10, 2014.

Prat, O. P. , B. R. Nelson, L. Vasquez, R. Ferraro, S. Rudlosky, and J. J. Wang, 2014: Evaluation of satellite based Quantitative Precipitation Estimates (QPEs) over CONUS (2002-2012): Comparison with surface and radar precipitation datasets. 7th Workshop of the International Precipitation Working Group (IPWG), Tsukuba, Japan, November 17-21, 2014.

Stevens, S. E. , B. R. Nelson, K. E. Kunkel, O. P. Prat, and T. Karl, 2014: Relationship among high rainfall rates, atmospheric moisture, and temperature based on high-resolution radar-based precipitation estimates. 2014 AGU Fall Meeting, San Francisco, CA, December 15-19, 2014.