Difference between revisions of "Category:Digital Roughness Data"
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The digital roughness models in WindPRO are based on open internet resources, all providing estimates of the roughness lengths or roughness classes based on remote sensing sources or land use databases. | The digital roughness models in WindPRO are based on open internet resources, all providing estimates of the roughness lengths or roughness classes based on remote sensing sources or land use databases. | ||
| + | ==A Word Of Caution == | ||
Note, that these sources - when considering wind energy applications - are typically not sufficient for a detailed and accurate roughness classification of a site. However, they may prove helpful for an initial analysis and as support for a more detailed analysis. Especially, the roughness levels assigned to the digitized areas need to be verified and normally needs adjustments by the user. | Note, that these sources - when considering wind energy applications - are typically not sufficient for a detailed and accurate roughness classification of a site. However, they may prove helpful for an initial analysis and as support for a more detailed analysis. Especially, the roughness levels assigned to the digitized areas need to be verified and normally needs adjustments by the user. | ||
Revision as of 23:54, 23 May 2013
The digital roughness models in WindPRO are based on open internet resources, all providing estimates of the roughness lengths or roughness classes based on remote sensing sources or land use databases.
A Word Of Caution
Note, that these sources - when considering wind energy applications - are typically not sufficient for a detailed and accurate roughness classification of a site. However, they may prove helpful for an initial analysis and as support for a more detailed analysis. Especially, the roughness levels assigned to the digitized areas need to be verified and normally needs adjustments by the user.
Pages in category "Digital Roughness Data"
The following 9 pages are in this category, out of 9 total.