weichun_tao@kaust_edu_sa
New Member
I replaced the PCT_PFT, PCT_URBAN, PCT_LAKE, PCT_WETLAND, PCT_GLACIER with high resolution land use data, and have some questions:
1. From the physiology of PFT, there is quantitative relation between leaf and stem with pft. Considering we have both PFT and LAI data, when the PFT data is changed, will there be contradiction between the calculated leaf and stem project area to the LAI data? Should I change the LAI data as well?
2. When PCT_URBAN is repalced by high resolution data, the variables related to urban, such as canyon height, albedo and so on, turns out to be no valid value for some place. Therefore, I have to interpolate these variables also. Is there any tools to do interpolation? Is this the proper way to do high resolution modeling?
Any advice is appreciated very much.
Weichun
1. From the physiology of PFT, there is quantitative relation between leaf and stem with pft. Considering we have both PFT and LAI data, when the PFT data is changed, will there be contradiction between the calculated leaf and stem project area to the LAI data? Should I change the LAI data as well?
2. When PCT_URBAN is repalced by high resolution data, the variables related to urban, such as canyon height, albedo and so on, turns out to be no valid value for some place. Therefore, I have to interpolate these variables also. Is there any tools to do interpolation? Is this the proper way to do high resolution modeling?
Any advice is appreciated very much.
Weichun