Performance evaluation of some rain rate conversion models for microwave propagation studies
Abstract
An important characteristic of rainfall levels at a particular place is the statistical distribution of rainfall rate. In this paper, 5min integration time rainfall data for the Northcentral region of Nigeria was obtained from the Tropospheric Data Acquisition Network (TRODAN), Anyigba, Nigeria. Also, 1min integration time rainfall was measured at Minna, Nigeria. In order to obtain the optimal rain rate model suitable for this region, two globally recognised rain rate models were critically evaluated and compared with the 1min measurements. These are the ITUR P.8377 and LavergnatGole (LG) models. The results obtained showed that the ITUR P.8377 and LG models respectively underestimated the measured rain rate by 7.3 mm/h and 9 mm/h at time percentage exceedance of 0.1%, while they underestimated the measured rain rate by 23.4 mm/h and 13 mm/h respectively at 0.01%. At 0.001%, the measured rain rate was overestimated by the ITUR P.8377 and LG models by 27.4 mm/h and 3 mm/h respectively. Further performance evaluation of the predefined models was carried out using different error metrics such as sum of absolute error (SAE), mean absolute error (MAE), root mean square error (RMSE), standard deviation (STDEV) and Spearman's rank correlation. The results obtained adjudged the LavergnatGole model as the best rain rate prediction model for this region.
 Publication:

Advances in Space Research
 Pub Date:
 May 2021
 DOI:
 10.1016/j.asr.2021.01.055
 Bibcode:
 2021AdSpR..67.3098I
 Keywords:

 Cumulative distribution;
 Integration time;
 Rain Rate