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  • IFloodS 2013: A Field Campaign to Support the NASA-JAXA Global Precipitation Measurement Mission x
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Ibrahim Demir, Helen Conover, Witold F. Krajewski, Bong-Chul Seo, Radosław Goska, Yubin He, Michael F. McEniry, Sara J. Graves, and Walter Petersen

Center (GHRC) Distributed Active Archive Center (DAAC), a partnership between NASA’s Marshall Space Flight Center and the University of Alabama in Huntsville (UAH), have provided the GPM GV program with collaboration tools in order to facilitate the following: the exchange of planning information before each field campaign; collection of all data, mission science, project and instrument status reports, and other information during the campaign; and the provision of long-term archive and distribution

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Evan J. Coopersmith, Michael H. Cosh, Walt A. Petersen, John Prueger, and James J. Niemeier

. , and Gilmore B. J. , 2014b : Machine learning assessments of soil drying for agricultural planning. Comput. Electron. Agric., 104, 93–104 , doi: 10.1016/j.compag.2014.04.004 . Cosh, M. H. , and Brutsaert W. , 1999 : Aspects of soil moisture variability in the Washita ’92 study region . J. Geophys.Res. , 104 , 19 751 – 19 757 , doi: 10.1029/1999JD900110 . Entekhabi, D. , and Coauthors , 2010 : The Soil Moisture Active/Passive Mission (SMAP) . Proc. IEEE , 98 , 704 – 716 , doi: 10

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Kumar Vijay Mishra, Witold F. Krajewski, Radoslaw Goska, Daniel Ceynar, Bong-Chul Seo, Anton Kruger, James J. Niemeier, Miguel B. Galvez, Merhala Thurai, V. N. Bringi, Leonid Tolstoy, Paul A. Kucera, Walter A. Petersen, Jacopo Grazioli, and Andrew L. Pazmany

heterogeneous suite of scans for testing various engineering capabilities of the radars and cross validation with other instruments. The radars made polarimetric observations at multiple range resolutions (75 and 30 m) with oversampled range spacings of 75, 30, 15, and 7.5 m. These data were collected at the scan rate of 5° s −1 in both plan position indicator (PPI) and range–height indicator (RHI) scans. We had enabled the clutter filters in the XPOL signal processors during the IFloodS data collection

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Robert M. Beauchamp, V. Chandrasekar, Haonan Chen, and Manuel Vega

NPOL are compared using a plan position indicator (PPI) scan for 1.4° elevation at 2248 UTC 29 May 2013. The results are presented in Fig. 8 . The figure compares a D3R Ku band and an NPOL PPI scan of heavy convection embedded in stratiform rain observed at the same elevation and same time. Four radar measurements are considered: , , , and copolar correlation . Attenuation correction is applied to the observations of reflectivity and differential reflectivity presented here. Fig . 8. Radar

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Andrea Thorstensen, Phu Nguyen, Kuolin Hsu, and Soroosh Sorooshian

experiment planning, management, and research using cyberinfrastructure . J. Hydrometeor. , 16 , 1155 – 1170 , doi: 10.1175/JHM-D-14-0163.1 . Downer, C. , and Ogden F. , 2004 : GSSHA: Model to simulate diverse stream flow producing processes . J. Hydrol. Eng. , 9 , 161 – 174 , doi: 10.1061/(ASCE)1084-0699(2004)9:3(161) . Duan, Q. , Sorooshian S. , and Gupta V. , 1992 : Effective and efficient global optimization for conceptual rainfall–runoff models . Water Resour. Res. , 28 , 1015

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Bong-Chul Seo, Brenda Dolan, Witold F. Krajewski, Steven A. Rutledge, and Walter Petersen

. , Stocher E. F. , Kaye J. , and Kakar R. , 2013 : Global Precipitation Measurement (GPM) science implementation plan. NASA GSFC Doc., 162 pp. [Available online at http://pmm.nasa.gov/resources/documents/home .] Steiner, M. , and Smith J. A. , 2002 : Use of three-dimensional reflectivity structure for automated detection and removal of nonprecipitating echoes in radar data . J. Atmos. Oceanic Technol. , 19 , 673 – 686 , doi: 10.1175/1520-0426(2002)019<0673:UOTDRS>2.0.CO;2 . Steiner, M

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Haonan Chen, V. Chandrasekar, and Renzo Bechini

was operated in several modes, including the two-sweep (i.e., 0.7° and 1.4°) full plan position indicator (PPI), RHIs over the APU disdrometers, PPI sector (PPS) scans of precipitation systems over principal river basins, and “bird bath” scans that can be used for monitoring Z dr biases. The RHI sector scans covered an azimuth range of 8° above locations of ground-based instrumentation (e.g., APU disdrometers). The PPI and RHI scan tasks were repeated once every 3 min when precipitation was

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Bong-Chul Seo, Witold F. Krajewski, Felipe Quintero, Mohamed ElSaadani, Radoslaw Goska, Luciana K. Cunha, Brenda Dolan, David B. Wolff, James A. Smith, Steven A. Rutledge, and Walter A. Petersen

plans . Bull. Amer. Meteor. Soc. , 92 , 1321 – 1338 , https://doi.org/10.1175/2011BAMS-D-11-00047.1 . 10.1175/2011BAMS-D-11-00047.1 Zhang , J. , and Coauthors , 2016 : Multi-Radar Multi-Sensor (MRMS) quantitative precipitation estimation: Initial operating capabilities . Bull. Amer. Meteor. Soc. , 97 , 621 – 638 , https://doi.org/10.1175/BAMS-D-14-00174.1 . 10.1175/BAMS-D-14-00174.1

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Merhala Thurai, Kumar Vijay Mishra, V. N. Bringi, and Witold F. Krajewski

the Clear Creek Watershed. The XPOL-5 operated at range resolution of 75 m and scanned over the watershed (90°–310° sector) at the rate of 5° s −1 for both plan position indicator (PPI) and range–height indicator (RHI) scans. When targets of opportunity occurred within the XPOL-5 coverage, its scan sequence was as follows: a low-elevation full PPI surveillance scan at 5° s −1 , sector PPI scans at 5° s −1 over the watershed sector in elevations from 2° to 8° in increments of 1°, a birdbath

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Huan Wu, Robert F. Adler, Yudong Tian, Guojun Gu, and George J. Huffman

. Hayasaka , Y. Fukushima , and C. Liu , 2007 : A gauge-based analysis of daily precipitation over East Asia. J. Hydrometeor. , 8 , 607–626, doi: 10.1175/JHM583.1 . 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 . Zhang , K. , J. S. Kimball , R. R. Nemani , and S. W. Running , 2010 : A continuous satellite-derived global record

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