Matches in Data.gov.be for { ?s ?p The climate grids result from the spatial interpolation of observations. The interpolation method is adapted to each variable and temporal resolution. When possible, the involved statistical procedures integrate highly correlated ancillary data in addition to the observations. To cite a few examples, air temperature is affected by several factors such as the terrain elevation and the proximity of water surfaces. Solar radiation is mainly driven by cloud cover which can be characterized by Meteosat satellite data. ?g. }
Showing items 1 to 2 of
2
with 100 items per page.
- genid2491 label "The climate grids result from the spatial interpolation of observations. The interpolation method is adapted to each variable and temporal resolution. When possible, the involved statistical procedures integrate highly correlated ancillary data in addition to the observations. To cite a few examples, air temperature is affected by several factors such as the terrain elevation and the proximity of water surfaces. Solar radiation is mainly driven by cloud cover which can be characterized by Meteosat satellite data." @default.
- 3ae025c01a4748f29528a67c529affeb2-235c3cc561bd1db7 label "The climate grids result from the spatial interpolation of observations. The interpolation method is adapted to each variable and temporal resolution. When possible, the involved statistical procedures integrate highly correlated ancillary data in addition to the observations. To cite a few examples, air temperature is affected by several factors such as the terrain elevation and the proximity of water surfaces. Solar radiation is mainly driven by cloud cover which can be characterized by Meteosat satellite data." @default.