Abstract
Since the spatial resolutions between MERIS water vapor products and ASAR data are greatly different, the elevation-dependent ONN water vapor correction model is not sufficient in precision for spatial interpolation, especially in the area with large local elevation changes. In order to solve the problem, spaital interpolation methods, i.e. ordinary Kriging and von Karman Kriging, are proposed to combine with the ONN model for spatial interpolation. In order to correct the local over-smoothing in the Kriging model, Yamamoto's modified Kriging method was applied for spatial interpolation of regional atmospheric residuals. The results show that total atmospheric distribution in the studied area is the sum of the local atmospheric residual estimation and global ONN interpolation result. According to the cross-validation of the three different interpolation methods, von Karman Kriging for residual interpolation+ONN terrain model has better results than the other two methods in ERMSE, EMAE, EMREand ESTD. Additionally, von Karman Kriging for residual interpolation is more fit to the spatial distribution characteristics of the atmosphere, which is beneficial to correct the local over-smoothing in the von Karman Kriging for residual interpolation+ONN terrain model.
| Original language | English |
|---|---|
| Pages (from-to) | 3542-3547 |
| Number of pages | 6 |
| Journal | Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) |
| Volume | 43 |
| Issue number | 9 |
| Publication status | Published - 1 Sept 2012 |
| Externally published | Yes |
Keywords
- MERIS water vapor products
- ONN model
- Ordinary Kriging
- Von Karman Kriging model
ASJC Scopus subject areas
- Condensed Matter Physics
- Geotechnical Engineering and Engineering Geology
- Metals and Alloys
- Materials Chemistry