Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product

In this paper, time extension methods, originally designed for clear-sky land surface conditions, are used to estimate high-spatial resolution surface daily longwave (LW) radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. The performance of four time methods were first tested by using ground based flux measurements that were collected from 141 global sites. Combined with the accuracy of daily LW radiation estimated from the instantaneous GLASS LW radiation, the linear sine interpolation method performs better than the other methods and was employed to estimate the daily LW radiation as follows: The bias/Root Mean Square Error (RMSE) of the linear sine interpolation method were -6.30/15.10 W/m(2) for the daily longwave upward radiation (LWUP), -1.65/27.63 W/m(2) for the daily longwave downward radiation (LWDN), and 4.69/26.42 W/m(2) for the daily net longwave radiation (LWNR). We found that the lengths of the diurnal cycle of LW radiation are longer than the durations between sunrise and sunset and we proposed increasing the day length by 1.5 h. The accuracies of daily LW radiation were improved after adjusting the day length. The bias/RMSE were -4.15/13.74 W/m(2) for the daily LWUP, -1.3/27.52 W/m(2) for the daily LWDN, and 2.85/25.91 W/m(2) for the daily LWNR. We are producing long-term surface daily LW radiation values from the GLASS LW radiation product.

Automated summary

This study utilizes time extension methods to estimate high-spatial resolution surface daily longwave radiation, with the linear sine interpolation method showing the best performance. Adjusting the day length improves the accuracy of daily longwave radiation estimations.