HR: 1340h
AN: H43E-0541    [Abstracts]
TI: Estimation of Average Rainfall Areal Reduction Factors in Texas Using NEXRAD Data
AU: Choi, J
EM: mashah@neo.tamu.edu
AF: Texas A&M University, Department of Civil Engineering 3136 TAMU, College Station, TX 77843-3136 United States
AU: Kim, D
EM: dekaykim@gmail.com
AF: Texas A&M University, Department of Civil Engineering 3136 TAMU, College Station, TX 77843-3136 United States
AU: * Olivera, F
EM: folivera@civil.tamu.edu
AF: Texas A&M University, Department of Civil Engineering 3136 TAMU, College Station, TX 77843-3136 United States
AB: In general, larger catchments are less likely than smaller catchments to experience high intensity storms over the whole of the catchment area. Therefore, the conversion of point precipitation into area-averaged precipitation is necessary whenever an area, large enough for rainfall not to be uniform, is to be modeled. However, while point precipitation has been well recorded because of the availability of rain gauge data, areal precipitation cannot be measured and its estimation has been a subject of research for the last decades. With the understanding that the NEXt generation RADar (NEXRAD) precipitation data distributed by the U.S. National Weather Service (NWS) is the best data with spatial coverage available for large areas, this paper addresses the estimation of areal reduction factors (ARFs) using these type of data. The study site is the 685,000-km2 area of the state of Texas. Storms were assumed to be elliptically shaped of different aspect ratios and orientations. It was found that, in addition to the storm duration and area, already considered in previous studies, ARFs depend also on the geographic region, the season of the year (summer or winter), and the precipitation depth. Storm shape and orientation were also studied.
DE: 1819 Geographic Information Systems (GIS)
DE: 1853 Precipitation-radar
DE: 1854 Precipitation (3354)
SC: Hydrology [H]
MN: Fall Meeting 2005