Table 3 Percentages of the efficiency of the GPT2w simulation used to build the Low-variant Haines Index (LHI) and the Mid-variant Haines Index (MHI) during 2016 at the stations at the study area at mid-latitudes in South America, from the Atlantic coast up to the Andes pre-mountain range, listed in Table 2. Results are classified according to the Haines Index values (from 2 to 6); percentage of hits is in boldface. Note that LHI never reaches the maximum value of 6
From: Implementation of a GNSS meteorological model to the estimation of the Haines Index
Simulation efficiency (%) | |||
|---|---|---|---|
Haines Index value | Accuracy of HI | LHI | MHI |
2 to 3 Very low | Underestimation | 0.00% | 0.00% |
Hit | 43.33% | 29.72% | |
Overestimation | 11.58% | 17.72% | |
4 Low | Underestimation | 18.22% | 6.12% |
Hit | 8.85% | 7.93% | |
Overestimation | 3.86% | 5.89% | |
5 Moderate | Underestimation | 8.06% | 14.63% |
Hit | 4.85% | 10.02% | |
Overestimation | 0.00% | 1.22% | |
6 High | Underestimation | 0.05% | 4.30% |
Hit | 2.45% | ||