Results 41 to 50 of about 947,860 (252)
Rotary-wing small unmanned aircraft systems (sUAS) are increasingly being used for sampling thermodynamic and chemical properties of the Earth’s atmospheric boundary layer (ABL) because of their ability to measure at high spatial and temporal ...
Temple R. Lee +3 more
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Testing and development of transfer functions for weighing precipitation gauges in WMO-SPICE [PDF]
Weighing precipitation gauges are used widely for the measurement of all forms of precipitation, and are typically more accurate than tipping-bucket precipitation gauges.
J. Kochendorfer +18 more
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Site‐Specific Soil Properties of the US Climate Reference Network Soil Moisture
Core Ideas This study quantifies the variability of soils at US Climate Reference Network sites. Soil properties were determined from the analysis of soil core samples.
Timothy B. Wilson +7 more
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The authors wish to make the following correction to this paper [...]
Temple R. Lee +3 more
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This study employs the power spectrum inversion method to generate the phase screens of atmospheric turbulence over the sea, the theoretical model of the vortex beam array emitted by a focusing system through anisotropic non-Kolmogorov maritime ...
Hong Yu +5 more
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Restoration of Atmospheric Turbulence-degraded Images Based on Contrastive Learning [PDF]
Image degradation caused by atmospheric turbulence seriously affects the performance of downstream computer vision tasks such as object detection and image recognition.Existing deep learning-based image restoration models for atmospheric turbulence ...
MIAO Zhuang, CUI Haoran, ZHANG Qiyang, WANG Jiabao, LI Yang
doaj +1 more source
A statistical approach to surface renewal: The virtual chamber concept
In the stable conditions prevailing at night, concentrations of emitted gases (e.g., radon [Rn], carbon dioxide [CO2], methane [CH4], ammonia [NH3], and nitrous oxide [N2O]) build up at the surface, with intermittent interruptions due to the passage of ...
Bruce B. Hicks +6 more
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Atmospheric Turbulence Study with Deep Machine Learning of Intensity Scintillation Patterns
A new paradigm for machine learning-inspired atmospheric turbulence sensing is developed and applied to predict the atmospheric turbulence refractive index structure parameter using deep neural network (DNN)-based processing of short-exposure laser beam ...
A. Vorontsov +3 more
semanticscholar +1 more source
Quantitative Analysis of the Effect of Atmospheric Turbulence on a Bessel–Gaussian Beam
Suppressing the impact of atmospheric turbulence on laser beam propagation is a bottleneck problem in the application of free space optical communications, with the primary difficulty being the lack of a quantitative description of the effect of ...
Wei Wen
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The fractal turbulent–non-turbulent interface in the atmosphere
Abstract. With their constant increase in size, wind turbines are reaching unprecedented heights. Therefore, at these heights, they are influenced by wind conditions that have not yet been studied in detail. With increasing height, a transition to laminar conditions becomes more and more likely.
L. Neuhaus +5 more
openaire +3 more sources

