Poster Session 2 |
| | CURRENT AND FUTURE PRECIPITATION MEASUREMENTS POSTERS |
| | Organizers: A. P. Barros, Duke University, Durham, NC; Robert J. Kuligowski, NOAA/NESDIS, Camp Springs, MD
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| | P2.1 | Uncertainties in the retrieval of oceanic precipitation from passive microwave observations.
T. T. Wilheit, Texas A&M University, College Station,, TX; and S. Hong, K. Jin, and R. Weitz |
| | P2.2 | The NASA GES-DISC-DAAC Precipitation Data and Information Services Center (PDISC) 
Gilberto Vicente, NASA/GSFC, Greenbelt, MD; and H. Rui, B. Teng, Z. Liu, L. Lu, P. Hrubiak, J. Bonk, J. McManus, L. Chiu, and G. Leptoukh |
| | P2.3 | Studying the topography impact on rain retrieval from TRMM TMI measurements over the Korean Peninsula
Eun-Han Kwon, Seoul National University, Seoul, South Korea; and B. J. Sohn, D. E. Chang, M. H. Ahn, and S. Yang |
| | P2.4 | Retrieval of Drop Size Distribution from Simulated Dual-Frequency Radar Measurements
Stephen Joseph Munchak, Pennsylvania State University, State College, PA; and A. Tokay |
| | P2.5 | Principal components analysis of month-to-month precipitation variability for Downtown Los Angeles (1877-8 through 2003-4 seasons)
Charles J. Fisk, U.S. Navy, Point Mugu, CA |
| | P2.6 | New piezoelectric Vaisala RAINCAP® precipitation sensor
Atte Salmi, Vaisala Corporation, Helsinki, Finland; and J. Ikonen |
| | P2.7 | The effects of cold microphysical processes on surface precipitation variability. Part II: Tropical Precipitation
Jianzhong Wang, Hydrologic Research Center, San Diego, CA; and .. K. P. Georgakakos |
| | P2.8 | The Effects of Cold Microphysical Processes on Surface Precipitation Variability. Part I: Mid-latitude Precipitation
Jianzhong Wang, Hydrologic Research Center, San Diego, CA; and K. P. Georgakakos |
| | P2.9 | Evaluation of WRF with NASA/TRMM-3B42 and Polarimetric Radar Products
Sen Chiao, Howard University, Washington, DC; and E. Joseph, P. Kucera, and H. Laryea |
| | P2.10 | Comparison of TRMM rain rates using nonparametric statistical methods
Chunguang Yu, George Mason University, Fairfax, VA; and L. S. Chiu |
| | P2.11 | A multi-site evaluation of the range correction and convective-stratiform separation algorithms for improving WSR-88D rainfall estimates
Feng Ding, RS Information System and NOAA/NWS, Silver Spring, MD; and D. Kitzmiller, D. J. Seo, D. Riley, C. Dietz, C. Pham, and D. Miller |
| | P2.12 | Potential Improvement Areas for Hydrometeorological Observing and Forecasting in the GOES-R Era. Emphasis: Improving Precipitation Potential Estimates Using the HES Sensor
Steven Hoffert, The Boeing Company, Springfield, VA; and P. Zuzolo, K. Lausten, R. Domikis, B. Zuzolo, and G. Alexander |