研究目的
To evaluate the 'at-launch' codes of the GPM/DPR precipitation algorithms using synthetic data based on TRMM/PR observations to assess their accuracy in estimating precipitation rates.
研究成果
The KuPR and DPR algorithms showed similar total precipitation amounts to the true values, while the KaPR algorithm underestimated precipitation. The underestimation was most pronounced in high attenuation cases during strong precipitation events in the Tropics. Improvements in the attenuation correction method were verified to address the underestimation issue.
研究不足
The study focused on over-ocean estimates due to potential issues with surface echo simulation at Ka-band over land. The DSD parameter μ was assumed to be 3, consistent with current DPR-L2 algorithms, which may not capture all variability in real-world conditions.