Research Article
A Comparative Study on Performance of Analysis Nudging and 3DVAR in Simulation of a Heavy Rainfall Event Using WRF Modeling System
Table 4
The same as Table
3 but for day 2 valid at 0300 UTC of 27 June 2005.
| Stations | Latitude (deg N) | Longitude (deg E) | Day 2 | OBS | CNTL | NUD | 3DV |
| Gandevi | 20.8 | 72.9 | 11 | 6 | 10 | 12 | Valsad | 20.7 | 72.9 | 13 | 8 | 10 | 12 | Pardi | 20.5 | 72.9 | 21 | 14 | 16 | 20 | Chikhili | 21.5 | 73.9 | 12 | 4 | 4 | 8 | Bansda | 20.7 | 73.3 | 12 | 8 | 8 | 11 | Kamrej | 21.3 | 72.9 | 10 | 13 | 15 | 15 | Silvassa | 20.3 | 73.0 | 10 | 5 | 6 | 8 | Surat | 21.2 | 72.8 | 11 | 8 | 8 | 12 | Dhandhuka | 22.3 | 71.9 | 7 | 4 | 4 | 6 | Mangrol | 21.1 | 70.1 | 7 | 4 | 5 | 6 | Palsana | 21.1 | 73.0 | 5 | 3 | 3 | 4 | Bardoli | 21.1 | 73.1 | 8 | 5 | 5 | 6 | Valod | 21.1 | 73.2 | 7 | 4 | 6 | 6 | Vapi | 20.4 | 72.9 | 9 | 7 | 10 | 12 | Daman | 20.4 | 72.8 | 13 | 8 | 8 | 10 | Rajpipla | 21.7 | 73.5 | 7 | 4 | 4 | 5 |
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