Pedro Quiroga

Hi Morten, Thanks for the prompt response, I was checking the help section and apparently there is a way to convert polygons to line, to get both roughnesses, the polygons option only has the internal roughness of each polygon, and as you mentioned is stored in a separate DBF file. We are evaluating another option, we have a matrix with, X and Y coordinates and its respective roughness, we have a code in Matlab to create a .map file that writes the coordinates of a squared polygon for each roughness value in the matrix and as we know the roughness and location of each matrix element we can write as well the left side roughness, it is valid this approach (using a roughness polygon per element in the matrix)? Thanks. Best regards Pedro

Hi support team. I'm working with a land-use map from Landsat which was converted to shapefile using Arcgis, this map was imported into the WAsP Map Editor, and then the attributes were specificated, my doubt is regarding the right and left-roughness, since shapefile only has one attribute of roughness per polygon (called gridcode), so my map has the same values for both roughness. Could you give me an idea of how to assign each roughness? Thanks for your help.

Hi support team, I want to use results from a mesoscale model to make cross predictions in WAsP, I’ve read some papers where two maps are used, one mesoscale map to remove the effects over the mesoscale simulations, and a microscale map to insert the terrain effects with a better resolution. Is this procedure do manually? I mean, you use the mesoscale map to generate the GWC, then replace the previous map with the microscale map and make predictions over desired sites. In that case, is it possible to use the cross prediction script without recalculating the GWC?

Thanks for your reply. One more question, when I insert a met station, Does WAsP consider it as an obstacle?

Hi support team, I’m working with a cross validation in WAsP, and I want to evaluate if we can improve the wind speed prediction if we make a cross prediction by atmospheric stability regime. The idea is to filter the time series of observed data by stability regime and create an OWC for neutral, stable and unstable condition, and each OWC will be used to predict a neutral, stable and unstable wind speed distribution. My question is if make sense to make a weighted sum of each of the predicted histogram in order to have a global prediction of each site? a similar idea of emergent distribution, which is a weighted sum of wind speed distribution per directional sector.

Hi support team I´m working on a site validation and I'm having problems with the roughness map, so far I've read that there is some options to obtain the land use map, the first one is the GWA database, the second one is digitizing the lines in google earth or WAsP map editor. I tried downloading the NASA LPDAAC > MODIS Land Cover dataset then I saved this file as Surfer Grid (.grd) and load in WAsP map editor but I'm having values greater than 100. I'm using the wrong database? Isn't it the right procedure? There is another alternative to obtain this map? Thanks in advance