DOPPLER-RADAR ESTIMATES OF PRECIPITATION
The next step in research will be to better describe such uncertainty trends in order to cascade the resulting distri- butions into application models such as rainfall-runoff models. Other compu- tational models that incorporate pre- cipitation data that can utilize these results include groundwater, water conservation, environmental, contami- nation, agricultural, soil-strength analy- sis (e.g., levees, earthen dams, slope stability, highway embankments, etc.), among other applications. By cascad- ing the input Doppler Radar data into the provided distribution of uncertainty trends developed in the current work, developing a distribution of outcomes for precipitation for subsequent use in other models (e.g. a stochastic “random walk” approach) that operate off the precipita- tion estimates is possible. Further, it is necessary for the continuing assembly of comparative data in order to provide an exhaustive representation, if pos- sible, of all data comparisons. With such diligence, one can update the uncer- tainty estimates as data are collected and synthesized to better develop the uncertainty distributions displayed in this work.
References
1. Austin, P. M. (1987). Relation between Measured Radar Reflectivity and Surface Rainfall. Monthly Weather Review,115(5), 1053-1070.
2. Baeck, M. L., & Smith, J. A. (1998). Rainfall Estimation by the WSR-88D for Heavy Rainfall Events. Weather and Forecasting, 13(2), 416-436.
3. Barnston, A. G., & Thomas, J. L. (1983). Rainfall Measurement Accuracy in FACE: A Comparison of Gauge and Radar Rainfalls. Journal of Climate and Applied Meteorology, 22(12), 2038-2052.
4. Brandes, E. A., Vivekanandan, J., & Wilson, J. W. (1999). A Comparison of Radar Reflectivity Estimates of Rainfall from Collocated Radars. Journal of Atmospheric and Oceanic Technology,16(9), 1264-1272.
5. Dinku, T., Anagnostou, E. N., & Borga, M. (2002). Improving Radar- Based Estimation of Rainfall over Complex Terrain. Journal of Applied Meteorology,41(12), 1163-1178.
6. Gourley, J. J., Maddox, R. A., Howard, K. W., & Burgess, D. W. (2002). An Exploratory Multisensor Technique for Quantitative Estimation of Stratiform Rainfall. Journal of Hydrometeorology, 3(2), 166-180.
7. Fulton, R. (2000). Hydrometeorology Group’s Projects and Plans for Improving WSR88D Rainfall
www.aipg.org
Figure 7 - DREP bands in increments of 0.25 (from -1 to 8) with kernel density estimates applied to each individual band and Box and Whisker Plots overlaid for additional fidelity.
Jan.Feb.Mar 2019 • TPG 25
Figure 6 - DREP bands in increments of 0.25 (from -1 to 8) with kernel density estimates applied to each individual band.
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