Evaluation of a Method to Enhance Real-Time, Ground Radar–Based Rainfall Estimates Using Climatological Profiles of Reflectivity from Space

AbstractOver mountainous terrain, ground weather radars face limitations in monitoring surface precipitation as they are affected by radar beam blockages along with the range-dependent biases due to beam broadening and increase in altitude with range. These issues are compounded by precipitation structures that are relatively shallow and experience growth at low levels due to orographic enhancement. To improve surface precipitation estimation, researchers at the University of Oklahoma have demonstrated the benefits of integrating the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) products into the ground-based NEXRAD rainfall estimation system using a vertical profile of reflectivity (VPR) identification and enhancement (VPR-IE) approach. However, the temporal resolution of TRMM limits the application of VPR-IE method operationally. To implement the VPR-IE concept into the National Mosaic and Multi-Sensor QPE (NMQ) system in real time, climatological VPRs from 11 years of TRMM PR obse...

[1]  Jian Zhang,et al.  Evaluation and Uncertainty Estimation of NOAA/NSSL Next-Generation National Mosaic Quantitative Precipitation Estimation Product (Q2) over the Continental United States , 2013 .

[2]  Urs Germann,et al.  Mesobeta Profiles to Extrapolate Radar Precipitation Measurements above the Alps to the Ground Level , 2002 .

[3]  Hervé Andrieu,et al.  Identification of Vertical Profiles of Radar Reflectivity for Hydrological Applications Using an Inverse Method. Part II: Formulation. , 1995 .

[4]  Yang Hong,et al.  Incorporating NASA Spaceborne Radar Data into NOAA National Mosaic QPE System for Improved Precipitation Measurement: A Physically Based VPR Identification and Enhancement Method , 2013 .

[5]  Emmanouil N. Anagnostou,et al.  On the use of real‐time radar rainfall estimates for flood prediction in mountainous basins , 2000 .

[6]  Frédéric Fabry,et al.  Long-Term Radar Observations of the Melting Layer of Precipitation and Their Interpretation , 1995 .

[7]  Yang Hong,et al.  Empirical conversion of the vertical profile of reflectivity from Ku‐band to S‐band frequency , 2013 .

[8]  Jian Zhang,et al.  A Real-Time Algorithm for the Correction of Brightband Effects in Radar-Derived QPE , 2010 .

[9]  Robert A. Houze,et al.  Stratiform Rain in the Tropics as Seen by the TRMM Precipitation Radar , 2003 .

[10]  Isztar Zawadzki,et al.  Error Statistics of VPR Corrections in Stratiform Precipitation , 2005 .

[11]  B. Boudevillain,et al.  A Physically Based Identification of Vertical Profiles of Reflectivity from Volume Scan Radar Data , 2013 .

[12]  Automated Identification of Enhanced Rainfall Rates Using the Near-Storm Environment for Radar Precipitation Estimates , 2014 .

[13]  M. Kitchen,et al.  Real-time correction of weather radar data for the effects of bright band, range and orographic growth in widespread precipitation , 1994 .

[14]  H. Andrieu,et al.  Identification of Vertical Profiles of Reflectivity from Volume Scan Radar Data , 1999 .

[15]  Jian Zhang,et al.  National mosaic and multi-sensor QPE (NMQ) system description, results, and future plans , 2011 .

[16]  Silas C. Michaelides,et al.  Range adjustment for ground-based radar, derived with the spaceborne TRMM precipitation radar , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Yang Hong,et al.  Statistical and Physical Analysis of the Vertical Structure of Precipitation in the Mountainous West Region of the United States Using 11+ Years of Spaceborne Observations from TRMM Precipitation Radar , 2013 .

[18]  Hervé Andrieu,et al.  Identification of Vertical Profiles of Reflectivity for Correction of Volumetric Radar Data Using Rainfall Classification , 2010 .

[19]  Yang Hong,et al.  Probabilistic precipitation rate estimates with ground‐based radar networks , 2015 .

[20]  P. Tabary,et al.  The New French Operational Radar Rainfall Product. Part I: Methodology , 2007 .

[21]  B. Efron.  Bootstrap Methods: Another Look at the Jackknife , 1979 .

[22]  Jian Zhang,et al.  Weather Radar Coverage over the Contiguous United States , 2002 .

[23]  Yang Hong,et al.  Enhancing Quantitative Precipitation Estimation Over the Continental United States Using a Ground-Space Multi-Sensor Integration Approach , 2014, IEEE Geoscience and Remote Sensing Letters.

[24]  Jian Zhang,et al.  Systematical evaluation of VPR- identification and enhancement (VPR-IE) approach for different precipitation types , 2014, Asia-Pacific Environmental Remote Sensing.

[25]  I. Zawadzki,et al.  Real-Time Comparisons of VPR-Corrected Daily Rainfall Estimates with a Gauge Mesonet , 2005 .