Generalizing Monin-Obukhov Similarity Theory (1954) for Complex Atmospheric Turbulence. [PDF]
Physical Review Letters, 2022 Monin-Obukhov similarity theory (MOST) forms the basis for parametrizations of turbulent exchange in virtually all numerical models of atmospheric flows.
I. Stiperski, M. Calaf
semanticscholar +1 more source
Atmospheric Turbulence Removal with Complex-Valued Convolutional Neural Network [PDF]
Pattern Recognition Letters, 2022 Atmospheric turbulence distorts visual imagery and is always problematic for information interpretation by both human and machine. Most well-developed approaches to remove atmospheric turbulence distortion are model-based.
N. Anantrasirichai
semanticscholar +1 more source
Learning to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty [PDF]
International Conference on Information Photonics, 2021 Atmospheric turbulence can significantly degrade the quality of images acquired by long-range imaging systems by causing spatially and temporally random fluctuations in the index of refraction of the atmosphere.
R. Yasarla, Vishal M. Patel
semanticscholar +1 more source
Seasonal Variability of the Daytime and Nighttime Atmospheric Turbulence Experienced by InSight on Mars [PDF]
Geophysical Research Letters, 2021 The InSight mission, featuring continuous high‐frequency high‐sensitivity pressure measurements, is in ideal position to study the active atmospheric turbulence of Mars.
A. Chatain +4 more
semanticscholar +1 more source
Deep learning wavefront sensing and aberration correction in atmospheric turbulence
PhotoniX, 2021 Deep learning neural networks are used for wavefront sensing and aberration correction in atmospheric turbulence without any wavefront sensor (i.e. reconstruction of the wavefront aberration phase from the distorted image of the object).
Kaiqiang Wang +9 more
semanticscholar +1 more source
The quantification and correction of wind-induced precipitation measurement errors [PDF]
Hydrology and Earth System Sciences, 2017 Hydrologic measurements are important for both the short- and long-term management of water resources. Of the terms in the hydrologic budget, precipitation is typically the most important input; however, measurements of precipitation are subject to large
J. Kochendorfer +10 more
doaj +1 more source
The Spatial Structure of Passively Simulated Atmospheric Boundary Layer Turbulence
Applied Sciences, 2021 Three types of turbulence fields were investigated using a research method combining wind tunnel tests and theoretical analysis to further explore the spatial structure of atmospheric boundary layer turbulence, which was passively simulated by a wind ...
Jiadong Zeng +3 more
doaj +1 more source
Atmospheric Turbulence and Fog Attenuation Effects in Controlled Environment FSO Communication Links
IEEE Photonics Technology Letters, 2022 Free-space optical (FSO) communication can be seen as a promising technology for point-to-point and back-hauling links in the next generation wireless networks (5G and beyond) where cell size may shrink to a few hundred meters.
A. Khan +5 more
semanticscholar +1 more source
Intercomparison of In Situ Sensors for Ground-Based Land Surface Temperature Measurements
Sensors, 2020 Land surface temperature (LST) is a key variable in the determination of land surface energy exchange processes from local to global scales. Accurate ground measurements of LST are necessary for a number of applications including validation of satellite ...
Praveena Krishnan +5 more
doaj +1 more source
Applied Sciences, 2021 The reciprocity of the atmospheric turbulence channel in the bidirectional atmospheric laser propagation link is experimentally tested. The bidirectional transceiving coaxial atmospheric laser propagation link is built by using a hot air convection-type ...
Yi Liu +4 more
doaj +1 more source