P2.6
An evaluation of the spatial and temporal climatological properties of operational multi-sensor precipitation grids from several River Forecast Centers
PAPER WITHDRAWN
Seann Reed, NOAA, Silver Spring, MD; and F. Moreda, D. H. Kitzmiller, and M. B. Smith
The NOAA National Weather Service (NWS) Hydrology Laboratory (HL) is actively researching the use of NEXRAD-based multi-sensor precipitation grids to drive distributed hydrologic models for improving river and stream forecasts. The quality of the available gridded precipitation archives has important implications for how quickly and widely distributed models may be adopted for operational use. With the increasing accumulation of multi-sensor (radar, gauge, satellite) precipitation archives, it is now possible to use multi-sensor archives for hydrologic model calibration. However, there are several factors limit the quality of the radar-based products and the degree to which they are viable for use in hydrologic model calibration and forecasting. For example, one difficulty is that the multi-sensor precipitation estimation algorithms have been improving over time and thus some of the multi-sensor operational archives have non-stationary statistical properties. In addition, hourly, real-time reporting stations that are available for operational production of multi-sensor grids may be sparse compared with the number of daily precipitation stations that may be available at a later time. This paper will examine the spatial and temporal characteristics of monthly cumulative precipitation grids derived from archived, operational, multi-sensor grids and compare them to the available PRISM monthly grids. Although similar studies have been done in the past, larger areas (multiple NWS River Forecast Centers (RFCs)) and longer multi-sensor archives will be analyzed here. The paper will also compare monthly grids derived from reanalysis using the HL Multi-sensor Precipitation Estimator (MPE) with those from the Arkansas-Red Basin RFC operational archives and with PRISM. Both spatial and temporal consistency of the multi-sensor archives will be examined. The temporal analysis will be accomplished by generating time series for sample grid blocks or basins. The results will help to define strategies for distributed hydrologic model parameter estimation, testing, and implementation.
Poster Session 2, Hydrology Posters
Wednesday, 1 February 2006, 2:30 PM-4:00 PM, Exhibit Hall A2
Previous paper Next paper