| 109 | | ORCHIDEE has now 2 drivers which are quite different in their conception. As discussed above the temporal interpolation is a little of a challenge so it is worth verifying how well it is done bu both driver and how important the differences are. This effort is undertaken here. |
| 110 | | |
| 111 | | The issue is particularly critical with the global forcing which are available at 3 or 6 hour interval and any shift in the date attributed to them impacts the interpolation in time and the variables given to ORCHIDEE. This issue is largely attenuated for point forcing where atmospheric conditions are available at a frequency higher than hourly. Thus the test here are carried out over the 5 global forcing data sets which are currently available to the community : |
| | 109 | ORCHIDEE has now 2 drivers which are quite different in their conception. As discussed above the temporal interpolation is a challenge so it is worth verifying how well it is done by both drivers and how important the differences are. This effort is undertaken here. |
| | 110 | |
| | 111 | The issue is particularly critical with global forcing which are available at 3 or 6 hour intervals as any shift in the date attributed to the data points impacts the interpolation in time for the variables ORCHIDEE. This issue is largely attenuated for site forcing where atmospheric conditions are available at a frequency higher than hourly. Thus, the tests preformed here are carried out over the 5 global forcing data sets which are currently available to the community : |
