Research Article
Estimation of Solar Insolation and Angstrom–Prescott Coefficients Using Sunshine Hours over Nepal
Table 4
Comparison of empirical constants.
| Location | Altitude masl | Empirical constant (a) | Empirical constant (b) | a + b | Remark |
| Tikapur, Nepalgunj | >300 | 0.263 | 0.412 | 0.675 | Nepal | Kankai, Dharan, Dipayal | 300–500 | 0.191 | 0.527 | 0.718 | Dhunibesi, Darchula, Pulchowk, Khumaltar | 1001–1400 | 0.258 | 0.417 | 0.675 | Ilam, Okhaldhunga, Lumle | 1401–1800 | 0.224 | 0.561 | 0.785 | Jiri, Musikot, Jumla | 1801–3000 | 0.261 | 0.549 | 0.81 | South China (Guangzhou) | | 0.171 | 0.555 | 0.726 | [15] | South-west China (Lhasa) | | 0.214 | 0.552 | 0.766 | Jodhpur | 224 | 0.228 | 0.511 | 0.739 | [40] | Mumbai | 14 | 0.223 | 0.512 | 0.735 | Pune | 560 | 0.229 | 0.531 | 0.76 | Delhi | 216 | 0.222 | 0.372 | 0.594 | [41] | Shillong | 1600 | 0.229 | 0.295 | 0.524 | Nagpur | 310 | 0.235 | 0.279 | 0.514 | Kodaikanal | 2339 | 0.244 | 0.137 | 0.381 | Bangalore | 921 | 0.243 | 0.173 | 0.416 | Nandi Hills | 1474 | 0.242 | 0.178 | 0.42 | Bangkok | | 0.29 | 0.378 | 0.668 | [24] | Songkhala | | 0.264 | 0.491 | 0.755 |
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