Journal article
Radar Rainfall Estimation for Ground Validation Studies of the Tropical Rainfall Measuring Mission
Journal of applied meteorology (1988), Vol.36(6), pp.735-747
06/01/1997
DOI: 10.1175/1520-0450-36.6.735
Abstract
Abstract This study presents a multicomponent rainfall estimation algorithm, based on weather radar and rain gauge network, that can be used as a ground-based reference in the satellite Tropical Rainfall Measuring Mission (TRMM). The essential steps are constructing a radar observable, its nonlinear transformation to rainfall, interpolation to rectangular grid, constructing several timescale accumulations, bias adjustment, and merging of the radar rainfall estimates and rain gauge data. Observations from a C-band radar in Darwin, Australia, and a local network of 54 rain gauges were used to calibrate and test the algorithm. A period of 25 days was selected, and the rain gauges were split into two subsamples to apply cross-validation techniques. A Z–R relationship with continuous range dependence and a temporal interpolation scheme that accounts for the advection effects is applied. An innovative methodology was used to estimate the algorithm controlling parameters. The model was globally optimized by using an objective function on the level of the final products. This is equivalent to comparing hundreds of Z–R relationships using a uniform and representative performance criterion. The algorithm performance is fairly insensitive to the parameter variations around the optimum. This suggests that the accuracy limit of the radar rainfall estimation based on power-law Z–R relationships has been reached. No improvement was achieved by using rain regime classification prior to estimation.
Details
- Title: Subtitle
- Radar Rainfall Estimation for Ground Validation Studies of the Tropical Rainfall Measuring Mission
- Creators
- Grzegorz J Ciach - Iowa Institute of Hydraulic Research, University of Iowa, Iowa City, IowaWitold F Krajewski - Iowa Institute of Hydraulic Research and Department of Civil Engineering, University of Iowa, Iowa City, IowaEmmanouil N Anagnostou - Iowa Institute of Hydraulic Research, University of Iowa, Iowa City, IowaMary L Baeck - Iowa Institute of Hydraulic Research, University of Iowa, Iowa City, IowaJames A Smith - Department of Civil Engineering and Operations Research, Princeton University, Princeton, New JerseyJeffrey R McCollum - Iowa Institute of Hydraulic Research, University of Iowa, Iowa City, IowaAnton Kruger - Iowa Institute of Hydraulic Research, University of Iowa, Iowa City, Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of applied meteorology (1988), Vol.36(6), pp.735-747
- DOI
- 10.1175/1520-0450-36.6.735
- ISSN
- 0894-8763
- eISSN
- 1520-0450
- Language
- English
- Date published
- 06/01/1997
- Academic Unit
- Civil and Environmental Engineering; Electrical and Computer Engineering
- Record Identifier
- 9983991948902771
Metrics
12 Record Views