The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 28-161
Full Name: Nazario Ramirez-Beltran
Position: Professor
Age: ON
Sex: Male
Address: P.O. Box 9043, Mayaguez Puerto Rico, 00680
Country: PUERTO RICO
Tel: 787-265-3819
Tel prefix:
Fax: 787-265-3820
E-mail address: nazario@ece.uprm.edu
Other E-mails: nazario@uprm.edu
Title of the Paper: Rainfall Estimation from Convective Storms Using the Hydro-Estimator and NEXRAD
Authors as they appear in the Paper: Nazario D. Ramirez-Beltran, Robert J. Kuligowski, Eric W. Harmsen, Joan M. Castro, Sandra Cruz-Pol, and Melvin J. Cardona
Email addresses of all the authors: nazario@ece.uprm.edu,Bob.Kuligowski@noaa.gov,eharmsen@uprm.edu,joanmanuelcastro@yahoo.com,SandraCruzPol@ieee.org,cardonam@gmail.com
Number of paper pages: 12
Abstract: Validation of the Hydro-Estimator (HE) and the Next Generation Radar (NEXRAD) during heavy storms over Puerto Rico (PR) is reported. The HE is a high resolution rainfall retrieval algorithm based on satellite and numerical weather prediction model data. The accuracy of the HE and the NEXRAD rainfall estimates can be measured by decomposing the rainfall process into sequences of discrete (rain / no rain) and continuous (rainfall rate) random variables. Validation results are based on five heavy storms that seriously impacted human life and the economy of PR during the period 2003 to 2005. The average discrete validation results indicate acceptable hit rate values for both the HE and NEXRAD (0.76 vs. 0.87) and reasonable discrete bias ratios (1.04 vs. 0.73) but a very low of probability of detection of rain for both the HE and NEXRAD (0.36 vs. 0.52). The HE shows an overestimation on average whereas the NEXRAD exhibits underestimation in the continuous validatio!
n results (continuous bias ratio of 1.14 vs 0.70 for NEXRAD), which contributes to moderate overall errors for the HE and NEXRAD in terms of root mean squared error (2.14 mm vs. 1.66 mm) and mean absolute error (0.96 mm vs. 0.77 mm). The HE algorithm was designed to operate over US continental areas and satisfactory results have been reported. However, over tropical regions it was determined that warm clouds can generate substantial rainfall amounts that are not detected by the HE algorithm. It is known that precipitation processes in clouds with warm tops are very sensitive to the microphysical structure of their tops. Specifically, precipitation processes are more efficient when water droplets or/and ice particles grow to larger sizes. It has been shown that the uses of the reflected portion of the near-infrared during the daytime indicates the presence large cloud-top particles and suggest rain in warm-top clouds. It has been used the effective radius of clouds parti!
cles to detect raining clouds. However, the available algorithms to e
stimate the effective radius are designed to operate over ice clouds. We are in the process of developing an algorithm to extract the microphysical structure for rainy warm top clouds, and the first step of this algorithm is to estimate the emittance of near infrared window, which is described in this paper.
Keywords: validation, NEXRAD, Hydro-Estimator, retrieval algorithm, rain rate, GOES, brightness temperature
EXTENSION of the file: .pdf
Special (Invited) Session: Validation and Strategies to Improve the Hydro-Estimator and NEXRAD over Puerto Rico
Organizer of the Session: 591-789.pdf
How Did you learn about congress:
IP ADDRESS: 136.145.151.91
