AUTHOR=Tavares Alexandra Lima , Da Silva Renato Oliveira , Do Carmo Alexandre Melo Casseb , Martins Gabriel Caixeta , Nascimento Wilson Da Rocha , Ferreira Douglas Batista Da Silva , Da Silva Marcio Sousa , Costa Carlos Eduardo Aguiar De Souza , Pontes Paulo Rógenes , Tedeschi Renata Gonçalves TITLE=Analysis of the wind regime at high spatial-temporal resolution in the itacaiúnas river watershed, eastern amazon JOURNAL=Frontiers in Earth Science VOLUME=10 YEAR=2023 URL=https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2022.1076695 DOI=10.3389/feart.2022.1076695 ISSN=2296-6463 ABSTRACT=

In the present study, hourly wind direction and speed data from six subregions along the Itacaiúnas River watershed (IRW), Eastern Amazon, are analyzed over a 1-year period. The data are acquired from six hydrometeorological stations located in areas of the IRW with different characteristics of land use and plant cover. Among the stations studied, Serra Leste (mine to pasture transition) stands out, with prevailing winds from the Southeast and the East-Southeast, in addition to higher wind speeds. In contrast, at the Salobo (forest) station, the lowest wind speeds are observed, and this station presents the highest percentage of calm winds (60%) in the series. In the analysis of the daytime (from 6 a.m. to 5 p.m.) and nighttime (from 6 p.m. to 5 a.m.) wind cycles, the breeze and mesoscale circulation system are identified. Predominantly northerly winds are observed acting on the Abadia Farm and IFPA Rural (Federal Institute of Education, Science and Technology of Pará) stations, both during the day and at night, overlapping with the local breeze effects. Daily (24 h) and associated breeze circulation (12 h) cycle frequency signals are identified through wavelet transform analyses of the wind for all stations. The interference from large-scale phenomena, such as the Intertropical Convergence Zone (ITCZ) and the South Atlantic Convergence Zone (SACZ), which operate in the region, is evident. Finally, the data show that the differences in wind patterns are also due to environmental aspects such as plant cover, land use, and topography.