{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T14:39:37Z","timestamp":1774276777944,"version":"3.50.1"},"reference-count":53,"publisher":"Copernicus GmbH","issue":"4","license":[{"start":{"date-parts":[[2020,11,5]],"date-time":"2020-11-05T00:00:00Z","timestamp":1604534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Wind Energ. Sci."],"abstract":"<jats:p>Abstract. The digital terrain model (DTM), the representation of earth's surface at regularly spaced intervals, is the first input in the computational modelling of atmospheric flows. The ability of computational meshes based on high- (2\u2009m; airborne laser scanning, ASL), medium- (10\u2009m; military maps, Mil) and low-resolution (30\u2009m; Shuttle Radar Topography Mission, SRTM) DTMs to replicate the Perdig\u00e3o experiment site was appraised in two ways: by their ability to replicate the two main terrain attributes, elevation and slope, and by their effect on the wind flow computational results. The effect on the flow modelling was evaluated by comparing the wind speed, wind direction and turbulent kinetic energy using VENTOS\u00ae\/2 at three locations, representative of the wind flow in the region.\nIt was found that the SRTM was not an accurate representation of the Perdig\u00e3o site. A 40\u2009m mesh based on the highest-resolution data yielded an elevation error of less than 1.4\u2009m and an RMSE of less than 2.5\u2009m at five reference points compared to 5.0\u2009m in the case of military maps and 7.6\u2009m in the case of the SRTM.\nMesh refinement beyond 40\u2009m yielded no or insignificant changes on the flow field variables, wind speed, wind direction and turbulent kinetic energy. At least 40\u2009m horizontal resolution \u2013 threshold resolution \u2013 based on topography available from aerial surveys is recommended in computational modelling of the flow over Perdig\u00e3o.<\/jats:p>","DOI":"10.5194\/wes-5-1469-2020","type":"journal-article","created":{"date-parts":[[2020,11,5]],"date-time":"2020-11-05T04:30:40Z","timestamp":1604550640000},"page":"1469-1485","source":"Crossref","is-referenced-by-count":15,"title":["The digital terrain model in the computational modelling of the flow over the Perdig\u00e3o site: the appropriate grid size"],"prefix":"10.5194","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5223-0057","authenticated-orcid":false,"given":"Jos\u00e9 M. L. M.","family":"Palma","sequence":"first","affiliation":[]},{"given":"Carlos A. M.","family":"Silva","sequence":"additional","affiliation":[]},{"given":"V\u00edtor C.","family":"Gomes","sequence":"additional","affiliation":[]},{"given":"Alexandre","family":"Silva Lopes","sequence":"additional","affiliation":[]},{"given":"Teresa","family":"Sim\u00f5es","sequence":"additional","affiliation":[]},{"given":"Paula","family":"Costa","sequence":"additional","affiliation":[]},{"given":"Vasco T. P.","family":"Batista","sequence":"additional","affiliation":[]}],"member":"3145","published-online":{"date-parts":[[2020,11,5]]},"reference":[{"key":"ref1","unstructured":"Alves, J.: Perdig\u00e3o Terrestrial Survey (tower 20\/tse04), Tech. rep., Low\nEdge Consult Lda, Portugal, terrestrial survey around tower 20\/tse04, by Low\nEdge Consult Lda, under contract, 2018.\u2002a"},{"key":"ref2","unstructured":"Batista, V., Gomes, V., and Palma, J.: Perdig\u00e3o: computational mesh (ALS.NE.20), https:\/\/doi.org\/10.34626\/uporto\/gvtg-0g24, 2020a.\u2002a"},{"key":"ref3","unstructured":"Batista, V., Gomes, V., and Palma, J.: Perdig\u00e3o: computational mesh (ALS.NE.40), https:\/\/doi.org\/10.34626\/uporto\/ybwb-es40, 2020b.\u2002a"},{"key":"ref4","unstructured":"Batista, V., Gomes, V. and Palma, J.: Perdig\u00e3o: computational mesh (ALS.NE.80), https:\/\/doi.org\/10.34626\/uporto\/mwd6-9h81, 2020c.\u2002a"},{"key":"ref5","unstructured":"Batista, V., Gomes, V., and Palma, J.: Perdig\u00e3o: computational mesh (ALS.SW.20), https:\/\/doi.org\/10.34626\/uporto\/4t5v-r909, 2020d.\u2002a"},{"key":"ref6","unstructured":"Batista, V., Gomes, V., and Palma, J.: Perdig\u00e3o: computational mesh (ALS.SW.40), https:\/\/doi.org\/10.34626\/uporto\/w0jp-jf72, 2020e.\u2002a"},{"key":"ref7","unstructured":"Batista, V., Gomes, V., and Palma, J.: Perdig\u00e3o: computational mesh (ALS.SW.80), https:\/\/doi.org\/10.34626\/uporto\/9eaq-4t35, 2020f.\u2002a"},{"key":"ref8","unstructured":"Carvalho, J.: Stationarity periods during the Perdig\u00e3o campaign, Master's\nthesis, Faculty of Engineering of the University of Porto,\navailable at: https:\/\/repositorio-aberto.up.pt\/bitstream\/10216\/122036\/2\/348346.pdf (last access: 20\u00a0October\u00a02020),\n2019.\u2002a"},{"key":"ref9","doi-asserted-by":"crossref","unstructured":"Castro, F., Palma, J., and Lopes, A.\u00a0S.: Simulation of the Askervein Flow.\nPart 1: Reynolds Averaged Navier-Stokes Equations (k\u2212\u03b5\nTurbulence Model), Bound.-Lay. 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