The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT
Transactions ID Number: 29-480
Full Name: Alejandra Rojas Gonzalez
Position: Researcher
Age: ON
Sex: Female
Address: Dept. of Agricultural and Biosystems Engineering, University of Puerto Rico
Country: PUERTO RICO
Tel: 787 399 6772
Tel prefix: 001
Fax: 787 265 3853
E-mail address: harmsen1000@hotmail.com
Other E-mails: eric.harmsen@upr.edu
Title of the Paper: Performance Evaluation of MPE Rainfall Product at Hourly and Daily Temporal Resolution within a Hydro-Estimator Pixel
Authors as they appear in the Paper: Alejandra Rojas-González, Eric Harmsen and Sandra Cruz Pol
Email addresses of all the authors: alejandra_rojaspr@yahoo.com; , harmsen1000@hotmail.com, cruzpol@ece.uprm.edu;
Number of paper pages: 10
Abstract: A rain gauge network (28 rain gauges) was installed in western Puerto Rico (PR) within a 4km x 4km GOES satellite pixel. Located within the pixel is a well monitored sub-watershed of 3.55 km2, referred to here as the "testbed subwatershed" (TBSW). The rain gauge network was established to evaluate rainfall estimates from the GOES-based Hydro-Estimator (HE), NEXRAD radar and the Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) radar network, which has a high spatial resolution (≈ 200 m). Furthermore, the rain gauge network will provide a high temporal and spatial resolution rainfall dataset to be input into a distributed hydrologic model in the TBSW. The focus of this work is to evaluate the performance of the Multisensor Precipitation Estimation (MPE) product at 1-hour and 1-day temporal resolution within the 4km x 4km HE pixel for 2007. The MPE product is popular within the hydrologic modeling community due to its resolution and mean field !
bias correction computations in its coverage. Results for 2007 indicate that the highest rainfall measured by the rain gauges within the HE pixel area were September with an average and standard deviation of 241.75 mm and 73.3 mm, respectively; and August with 223.7 mm and 64.66 mm, respectively. While for the same months the MPE, produced a total monthly rainfall accumulation and standard deviation of 247.36 mm and 64.4 mm for September, respectively, and 233.68 mm and 36.54 mm for August, respectively. The mean and standard deviation daily field bias for these months were 1.08 and 1.5 for September, respectively, and 0.93 and 1.6 for August, respectively. The bias changed, when considering an hourly analysis, to 1.98 average and 5.45 standard deviation for August and 1.49 average and 3.01 standard deviation for September. Nevertheless the month that produced the largest mean bias was November with 2.24, and 2.6 standard deviation for daily rainfall accumulations; and a me!
an bias of 3.92 and 8.16 standard deviation for an hourly time step. I
n this study percentages of detection and false alarms were determined at two time scales.
Keywords: Multisensor Precipitation Estimation, NEXRAD products, rainfall variability, mean field bias
EXTENSION of the file: .pdf
Special (Invited) Session: Evaluation of MPE Radar Estimation Using a High Density Rain Gauge Network within a Hydro-Estimator Pixel and Small Sub Watershed
Organizer of the Session: 613-331
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