Radar subpixel-scale rainfall variability and uncertainty: lessons learned from observations of a dense rain-gauge network

N Peleg,E Morin,M Ben-Asher

doi:10.5194/hess-17-2195-2013

Abstract

Abstract. Runoff and flash flood generation are very sensitive to rainfall's spatial and temporal variability. The increasing use of radar and satellite data in hydrological applications, due to the sparse distribution of rain gauges over most catchments worldwide, requires furthering our knowledge of the uncertainties of these data. In 2011, a new super-dense network of rain gauges containing 14 stations, each with two side-by-side gauges, was installed within a 4 km2 study area near Kibbutz Galed in northern Israel. This network was established for a detailed exploration of the uncertainties and errors regarding rainfall variability within a common pixel size of data obtained from remote sensing systems for timescales of 1 min to daily. In this paper, we present the analysis of the first year's record collected from this network and from the Shacham weather radar, located 63 km from the study area. The gauge–rainfall spatial correlation and uncertainty were examined along with the estimated radar error. The nugget parameter of the inter-gauge rainfall correlations was high (0.92 on the 1 min scale) and increased as the timescale increased. The variance reduction factor (VRF), representing the uncertainty from averaging a number of rain stations per pixel, ranged from 1.6% for the 1 min timescale to 0.07% for the daily scale. It was also found that at least three rain stations are needed to adequately represent the rainfall (VRF < 5%) on a typical radar pixel scale. The difference between radar and rain gauge rainfall was mainly attributed to radar estimation errors, while the gauge sampling error contributed up to 20% to the total difference. The ratio of radar rainfall to gauge-areal-averaged rainfall, expressed by the error distribution scatter parameter, decreased from 5.27 dB for 3 min timescale to 3.21 dB for the daily scale. The analysis of the radar errors and uncertainties suggest that a temporal scale of at least 10 min should be used for hydrological applications of the radar data. Rainfall measurements collected with this dense rain gauge network will be used for further examination of small-scale rainfall's spatial and temporal variability in the coming years.

Highlights

Complex interactions exist between the spatial and temporal variability of rainfall and watershed hydrological responses (Morin et al, 2006)
In this paper we wish to first present our network to the hydrological community as part of the global effort to enhance the knowledge of small-scale rainfall variability and radar uncertainty; and secondly, to present three lessons learned from the first year of observations regarding (1) the spatial correlation of convective www.hydrol-earth-syst-sci.net/17/2195/2013/
The rainfall variance was estimated by the well-known variance reduction factor (VRF), which has been used by Krajewski et al (2000) and Villarini et al (2008) to quantify the uncertainty results from averaging a number of rain gauges

Summary

Introduction

Complex interactions exist between the spatial and temporal variability of rainfall and watershed hydrological responses (Morin et al, 2006). Rainfall is usually measured for hydrological applications by rain-gauge networks, weather radars or satellites. Habib et al (2001b) used this network to estimate the errors resulting from the use of tipping-bucket rain gauges with the aim of capturing the rainfall’s small-scale temporal variability.

Results

Conclusion