HR: 0800h
AN: H11F-0363    [Abstracts]
TI: An Automated Correction Technique for Weighing Type Bucket Rain Gauge Measurements
AU: * Nayak, A
EM: anuragnayak@cc.usu.edu
AF: Dr. David Chandler, Department of Plants, Soils and Biometeorology, Utah State University, Logan, UT 84322 United States
AU: Gupta, R
EM: ritugupta@cc.usu.edu
AF: Dr. David Chandler, Department of Plants, Soils and Biometeorology, Utah State University, Logan, UT 84322 United States
AU: Chandler, D G
EM: david.chandler@usu.edu
AF: Dr. David Chandler, Department of Plants, Soils and Biometeorology, Utah State University, Logan, UT 84322 United States
AU: McNamara, J P
EM: jmcnamar@boisestate.edu
AF: Dr. Jim P. McNamara, Department of Geosciences, Boise State University, 1910 University, Boise, ID 83725 United States
AB: Accurate precipitation data is one of the most important inputs for hydrological modeling. Errors in precipitation records from weighing type bucket rain gauges may be introduced from missing data, bucket decanting, wind and electronic sensor drift. Manual correction of these errors in precipitation data records can be extremely tedious and time consuming. An automated methodology for correcting the errors has been developed and applied at two weather stations located in the Dry Creek watershed near Boise ID for years 2000-2003. The method uses the MatLab code to correct the hourly precipitation by scanning the data on a 24 hours moving window. The method was successful at filtering periodic and instantaneous noise to provide useful and realistic hourly rainfall records for input to surface hydrological models. The corrected cumulative annual precipitation was within 96 to 99% of the measured annual total precipitation. The incremental record may then easily be scaled to match the measured annual total precipitation at the user's discretion.
DE: 5445 Meteorology (3346)
DE: 1800 HYDROLOGY
DE: 1894 Instruments and techniques
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting