Chapter 2
Statistical Analysis of Precipitation Extremes
Publication: Statistical Analysis of Hydrologic Variables: Methods and Applications
Abstract
Precipitation is the key hydrologic variable linking the atmosphere with land surface processes and plays a dominant role in the terrestrial hydroclimatic system. This chapter focuses on statistical analysis of precipitation data with an emphasis on extremes. Statistical methods used for analysis of bias in precipitation measurements and the design of rain gage networks are also discussed. Radar-based estimates are treated separately because their operation is primarily meant to obtain data for spatially varying precipitation. Satellite-based measurements are an emerging method for estimates of precipitation. Statistical analysis of extreme precipitation data is clearly explained, and the procedures that lead to the development of intensity-duration-frequency (IDF) curves and isopluvial contours, based on spatial interpolation, are examined. Assessment of extreme precipitation data under changing climate conditions and uncertainties associated with future climate change-based trends in extreme precipitation are also discussed.
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