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Publication - Dr Jun Zhang

    Radar and rain gauge rainfall discrepancies driven by changes in atmospheric conditions

    Citation

    Song, Y, Han, D & Zhang, J, 2017, ‘Radar and rain gauge rainfall discrepancies driven by changes in atmospheric conditions’. Geophysical Research Letters, vol 44., pp. 7303-7309

    Abstract

    This study explores humidity impacts on radar-gauge rainfall discrepancies in three-dimensional spatial fields. The results indicate that the radar overestimates rainfall when relative humidity is low, whereas the increment of rainfall is detected by the gauge when relative humidity maintains high. The proposed linear models exhibit desirable fitting correlations between the mean relative humidity and the average rainfall deficits especially in the cold season with a higher correlation coefficient r (0.837). The results of model generalizations show a considerable improvement in the radar-gauge rainfall agreement as RMSE declines evidently from 4.002 mm/h to 1.057 mm/h for rainfall events in the cold season and from 4.615 mm/h to 1.048 mm/h in the warm season. This is the first study as a proof of concept in quantifying relative humidity impacts on radar-gauge rainfall discrepancies in three-dimensional fields, which is worthwhile considered as an essential component in radar data correction for hydrometeorological applications.

    Full details in the University publications repository