The development of rainfall retrievals from radar at Darwin
Submitter
Jackson, Robert — Argonne National Laboratory
Collis, Scott Matthew — Argonne National Laboratory
Area of research
Cloud Processes
Journal Reference
Science
We used four years of ground disdrometer observations to develop rainfall rate estimators for ARM scanning precipitation radars at the ARM Tropical Western Pacific site.
Impact
We were able to develop a rainfall estimator that is applicable for developing rainfall estimates from ARM radars sampling storms in the tropics.
Summary
We tested several different rainfall estimators on the C-band polarization radar data by comparing rainfall estimates from the rainfall estimators against the rainfall rate measurements from the ground-based disdrometer. We found that Colorado State University's blended rainfall rate algorithm, with adjustments to the coefficients used by the algorithm made in accordance with the disdrometer observations, provided the best estimate of rainfall for these storms.