Comparisons between aerovane and sonic anemometer wind measurements at Alcântara Launch Center

Fisch, Gilberto

doi:10.5028/jatm.2010.0201105110

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…The reference Reynolds number (Re) was 2.5 × 10 7 , with a characteristic length corresponding to the TMI height (33 m). The incident velocity direction was 70° (North-Northeast, NNE, mean wind direction obtained by reanalyzed data), which agrees with the prevailing winds of the ALC: northeast and east winds (Fisch 2010;Medeiros et al 2013). Some tests were carried out and the inlet turbulence intensity obtained for the convergence and validation of the simulation was determined by 5% (κ and ε were 0.17 m 2 •s -2 and 2.80 10 -4 m 2 •s -2 , respectively), the same value obtained for the wind tunnel measurements (Faria et al 2019) and close to observational values obtained by Fisch (1999).…”

Section: Boundary Conditionssupporting

confidence: 78%

Atmospheric Flow at Alcantara Launch Center

Klippel

Goulart

Fisch

et al. 2022

J. Aerosp. Technol. Manag.

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The Alcantara Launch Center (ALC) is the main Brazilian access to space. It is positioned over a complex terrain, and it has some important buildings for assembling, integration and launching activities, such as the Mobile Integration Tower. Being in a region of prevalent trade winds, the flow interaction between the complex terrain and the buildings can affect the safety of operations on the platform, and the dispersion of toxic gases emitted during the launching. The main objective of this work was to study the influence of topography and buildings on the atmospheric flow of ALC using computational fluid dynamics (CFD) techniques. Three geometries were considered: simplified terrain (case 1), smooth complex terrain (case 2), and roughness complex terrain (case 3). The flow conditions over ALC were simulated using the ANSYS Fluent 19.0 CFD commercial code. The numerical simulations used a realizable κ-ε to model turbulence effects and the results presented a good agreement with the in-situ field measurements for the most complex geometry (case 3). The topography clearly influences the flow pattern at ALC, with the cliff influence over the wind being the major cause for establishing the flow patterns.

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Section: Boundary Conditionssupporting

confidence: 78%

Atmospheric Flow at Alcantara Launch Center

Klippel

Goulart

Fisch

et al. 2022

J. Aerosp. Technol. Manag.

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“…Fisch (2010) documented potential differences in wind speed between the sensor types used in these two cruises, finding that the ultrasonic anemometer measurements can be 0.3 m s −1 faster than the aerovane for average speed and 1.0 m s −1 faster at maximum speeds [40] . We sampled a range of wind speeds within the average wind speeds experienced in the Fisch study.…”

Section: Methodsmentioning

confidence: 99%

Scales of Spatial Heterogeneity of Plastic Marine Debris in the Northeast Pacific Ocean

2013

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Plastic debris has been documented in many marine ecosystems, including remote coastlines, the water column, the deep sea, and subtropical gyres. The North Pacific Subtropical Gyre (NPSG), colloquially called the “Great Pacific Garbage Patch,” has been an area of particular scientific and public concern. However, quantitative assessments of the extent and variability of plastic in the NPSG have been limited. Here, we quantify the distribution, abundance, and size of plastic in a subset of the eastern Pacific (approximately 20–40°N, 120–155°W) over multiple spatial scales. Samples were collected in Summer 2009 using surface and subsurface plankton net tows and quantitative visual observations, and Fall 2010 using surface net tows only. We documented widespread, though spatially variable, plastic pollution in this portion of the NPSG and adjacent waters. The overall median microplastic numerical concentration in Summer 2009 was 0.448 particles m−2 and in Fall 2010 was 0.021 particles m−2, but plastic concentrations were highly variable over the submesoscale (10 s of km). Size-frequency spectra were skewed towards small particles, with the most abundant particles having a cross-sectional area of approximately 0.01 cm2. Most microplastic was found on the sea surface, with the highest densities detected in low-wind conditions. The numerical majority of objects were small particles collected with nets, but the majority of debris surface area was found in large objects assessed visually. Our ability to detect high-plastic areas varied with methodology, as stations with substantial microplastic did not necessarily also contain large visually observable objects. A power analysis of our data suggests that high variability of surface microplastic will make future changes in abundance difficult to detect without substantial sampling effort. Our findings suggest that assessment and monitoring of oceanic plastic debris must account for high spatial variability, particularly in regards to the evaluation of initiatives designed to reduce marine debris.

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Dynamic measurement applied to anemometer verification

Truyts

Reis

2022

Measurement

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Comparisons between aerovane and sonic anemometer wind measurements at Alcântara Launch Center

Cited by 5 publications

References 5 publications

Atmospheric Flow at Alcantara Launch Center

Atmospheric Flow at Alcantara Launch Center

Scales of Spatial Heterogeneity of Plastic Marine Debris in the Northeast Pacific Ocean

Dynamic measurement applied to anemometer verification

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