Name
Abstract | ||
|---|---|---|
Surface shortwave net radiation (SSNR) is a key component of the surface radiation budget. In this paper, we refined a direct estimation approach to retrieve daily SSNR estimates from combined Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) data. The retrieved MODIS SSNR estimates were validated against measurements at seven stations of the Surface Radiation Budget Network. We also compared the MODIS retrievals with three existing SSNR products: the Clouds and the Earth's Radiant Energy System (CERES) products, the North American Regional Reanalysis (NARR) data, and the ERA-Interim reanalysis data from the European Centre for Medium-Range Weather Forecasts. MODIS data at 1 km were upscaled to mitigate the mismatch between site measurements and satellite retrievals. Among the four data sets, the aggregated MODIS retrievals agreed best with in situ measurements, with a root-mean-square error (rmse) of 23.1 W/m2 and a negative bias of 6.7 W/m2. The CERES products have a slightly larger rmse of 24.2 W/m2 and a positive bias of 7.6 W/m2. Both reanalysis data (NARR and ERA-Interim) overestimate daily SSNR and have much larger uncertainties. Monthly satellite SSNR data are more accurate than daily values, and the scaling issue in validating monthly MODIS SSNR retrievals is also less prominent. Averaged with a window size of 23 km, the two MODIS sensors can estimate monthly SSNR with an rmse error of 11.6 W/m 2, representing an improvement of 2.4 W/m2 over the CERES products. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TGRS.2015.2424716 | IEEE Trans. Geoscience and Remote Sensing |
Keywords | Field | DocType |
clouds and the earth's radiant energy system (ceres),era-interim,moderate resolution imaging spectroradiometer (modis),north american regional reanalysis (narr),shortwave net radiation,surface radiation budget | Data set,Moderate-resolution imaging spectroradiometer,Satellite,Remote sensing,Shortwave,Mean squared error,Radiation,Mathematics | Journal |
Volume | Issue | ISSN |
53 | 10 | 0196-2892 |
Citations | PageRank | References |
4 | 0.52 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Debashish Niyogi | 1 | 163 | 49.43 |
| Shunlin Liang | 2 | 611 | 116.22 |
| Tao He | 3 | 53 | 8.30 |
| Shi, Q. | 4 | 4 | 0.52 |