Open AccessEffects of Rain Gauge Temporal Resolution on the Specification of a Z–R Relationship
Author(s) -
Punpim Puttaraksa Mapiam,
Nutchanart Sriwongsita,
Siriluk Chumchean,
Ashish Sharma
Publication year - 2009
Publication title -
journal of atmospheric and oceanic technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.774
H-Index - 124
eISSN - 1520-0426
pISSN - 0739-0572
DOI - 10.1175/2009jtecha1161.1
Subject(s) - radar , scaling , rain gauge , environmental science , range (aeronautics) , scale (ratio) , gauge (firearms) , meteorology , exponent , temporal resolution , remote sensing , multiplicative function , temporal scales , mathematics , precipitation , geography , physics , computer science , cartography , geometry , linguistics , philosophy , archaeology , quantum mechanics , biology , composite material , ecology , telecommunications , mathematical analysis , materials science
The weather radar is an efficient alternative for measuring spatially varying rainfall covering a large area at a high temporal resolution. This paper studies the impact of rainfall gauge temporal resolution on optimal relationships between radar reflectivity (Z) and rainfall rate (R). Four datasets of radar reflectivity and corresponding rain gauge rainfall data from Sydney and Brisbane, Australia, and one dataset from Bangkok, Thailand, were used in the analysis. Climatological Z–R relationships were calibrated using rainfall aggregated over 1–24 h to investigate the evidence of temporal scaling in the Z–R calibrated parameters. This analysis points to an increase in the multiplicative term (the A parameter) of the Z–R relationship as temporal resolutions become finer. This pattern is repeated in all the datasets analyzed. Thereafter, a simple scaling hypothesis was proposed to develop transformations that could scale the A parameter in the Z–R relation across a range of temporal resolutions. This scaling relationship was found to be suitable, with the scaling exponent attaining values close to 0.055 across all the datasets analyzed. The proposed relationship has a significant role in radar rainfall estimation studies, especially in regions where subdaily gauge rainfall measurements are not readily available to ascertain optimal Z–R parameters.