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Atmospheric absorption attenuates electromagnetic waves as they propagate through space. In the V-band, there is a notable peak in atmospheric absorption that impacts antenna calibration and measurement accuracy. In this article, we investigated atmospheric absorption attenuation under different environmental conditions. Based on the investigation, the effect on antenna gain measurements was analysed and an atmospheric absorption correction method was proposed to correct the gain. By applying the method, the antenna gain value increased by approximately 0.05 dB around 60 GHz for a standard gain horn antenna case. Taking atmospheric absorption into consideration at certain frequencies will lower the measurement uncertainty, which is important for high-accuracy gain measurement.

Swarm-C satellite, a new instrument for atmospheric study, has been the focus of many studies to evaluate its usage and accuracy. This paper takes the Swarm-C satellite as a research object to verify the Swarm-C accelerometer’s inversion results. This paper uses the two-row orbital elements density inversion to verify the atmospheric density accuracy results of the Swarm-C satellite accelerometer. After the accuracy of the satellite data is verified, this paper conducts comparative verification and empirical atmospheric model evaluation experiments based on the Swarm-C accelerometer’s inversion results. After comparing with the inversion results of the Swarm-C semi-major axis attenuation method, it is found that the atmospheric density obtained by inversion using the Swarm-C accelerometer is more dynamic and real-time. It shows that with more available data, the Swarm-C satellite could be a new high-quality instrument for related studies along with the well-established satellites. After evaluating the performance of the JB2008 and NRLMSISE-00 empirical atmospheric models using the Swarm-C accelerometer inversion results, it is found that the accuracy and real-time performance of the JB2008 model at the altitude where the Swarm-C satellite is located are better than the NRLMSISE-00 model.

Atmospheric effects have a significant impact on the performance of airborne and space laser systems. Traditional models used to predict propagation effects rely heavily on simplified assumptions of the atmospheric properties and their interactions with laser systems. In the engineering domain, these models need to be continually improved in order to develop tools that can predict laser beam propagation with high accuracy and for a wide range of practical applications such as LIDAR (light detection and ranging), free-space optical communications, remote sensing, etc. The underlying causes of laser beam attenuation in the atmosphere are examined in this paper, with a focus on the dominant linear effects: absorption, scattering, turbulence, and non-linear thermal effects such as blooming, kinetic cooling, and bleaching. These phenomena are quantitatively analyzed, highlighting the implications of the various assumptions made in current modeling approaches. Absorption and scattering, as the dominant causes of attenuation, are generally well captured in existing models and tools, but the impacts of non-linear phenomena are typically not well described as they tend to be application specific. Atmospheric radiative transfer codes, such as MODTRAN, ARTS, etc., and the associated spectral databases, such as HITRAN, are the existing tools that implement state-of-the-art models to quantify the total propagative effects on laser systems. These tools are widely used to analyze system performance, both for design and test/evaluation purposes. However, present day atmospheric radiative transfer codes make several assumptions that reduce accuracy in favor of faster processing. In this paper, the atmospheric radiative transfer models are reviewed highlighting the associated methodologies, assumptions, and limitations. Empirical models are found to offer a robust analysis of atmospheric propagation, which is particularly well-suited for design, development, test and evaluation (DDT&E) purposes. As such, empirical, semi-empirical, and ensemble methodologies are recommended to complement and augment the existing atmospheric radiative transfer codes. There is scope to evolve the numerical codes and empirical approaches to better suit aerospace applications, where fast analysis is required over a range of slant paths, incidence angles, altitudes, and atmospheric conditions, which are not exhaustively captured in current performance assessment methods.

Autonomous vehicles are regarded as future transport mechanisms that drive the vehicles without the need of drivers. The photonic-based radar technology is a promising candidate for delivering attractive applications to autonomous vehicles such as self-parking assistance, navigation, recognition of traffic environment, etc. Alternatively, microwave radars are not able to meet the demand of next-generation autonomous vehicles due to its limited bandwidth availability. Moreover, the performance of microwave radars is limited by atmospheric fluctuation which causes severe attenuation at higher frequencies. In this work, we have developed coherent-based frequency-modulated photonic radar to detect target locations with longer distance. Furthermore, the performance of the proposed photonic radar is investigated under the impact of various atmospheric weather conditions, particularly fog and rain. The reported results show the achievement of significant signal to noise ratio (SNR) and received power of reflected echoes from the target for the proposed photonic radar under the influence of bad weather conditions. Moreover, a conventional radar is designed to establish the effectiveness of the proposed photonic radar by considering similar parameters such as frequency and sweep time.

This paper proposes a new elliptical dual-band antenna with a crescent slot with the advantages of compactness, lightweightness, low cost, and easy installation for 5G mmWave applications. The radiating element is obtained by Boolean manipulation of three ellipses of unequal length to short axis ratio, the resulting crescent slot defining its dual-band characteristics. The -10 dB impedance bandwidth of 23.8—31.6 GHz at 28 GHz and a bandwidth range of 36.8—40.6 GHz at 38 GHz are achieved, completely covering the currently applicable n257, n258, n260 and n261 mmWave bands and filtering out the unlicensed 31—36 GHz band. Dimensions of the single element are 10 mm by 7 mm. In addition, to reduce the interference caused by atmospheric attenuation, a conventional feeder network is combined with the designed antenna element to form a 1 × 4 line array to improve the gain. The antenna array with total dimensions of 20 × 25 mm 2 is modeled in 0.254 mm thick Rogers 5880 substrate. As a result of the array configuration, 10.4 dBi gain and a 95% radiation efficiency are achieved in the 28 GHz band. Meanwhile, at the 38GHz band, the gain is 10.4 dBi and the radiation efficiency is 95%. The proposed antenna meets the 5G communication requirements well and can be a better candidate in the mmWave band range.

The planetary albedo is partitioned into a component due to atmospheric reflection and a component due to surface reflection by using shortwave fluxes at the surface and top of the atmosphere in conjunction with a simple radiation model. The vast majority of the observed global average planetary albedo (88%) is due to atmospheric reflection. Surface reflection makes a relatively small contribution to planetary albedo because the atmosphere attenuates the surface contribution to planetary albedo by a factor of approximately 3. The global average planetary albedo in the ensemble average of phase 3 of the Coupled Model Intercomparison Project (CMIP3) preindustrial simulations is also primarily (87%) due to atmospheric albedo. The intermodel spread in planetary albedo is relatively large and is found to be predominantly a consequence of intermodel differences in atmospheric albedo, with surface processes playing a much smaller role despite significant intermodel differences in surface albedo. The CMIP3 models show a decrease in planetary albedo under a doubling of carbon dioxide—also primarily due to changes in atmospheric reflection (which explains more than 90% of the intermodel spread). All models show a decrease in planetary albedo due to the lowered surface albedo associated with a contraction of the cryosphere in a warmer world, but this effect is small compared to the spread in planetary albedo due to model differences in the change in clouds.

Attenuation of the W-band (95 GHz) radar signal by atmospheric ice particles has long been neglected in cloud microphysics studies. In this work, 95-GHz airborne multibeam cloud radar observations in tropical stratiform ice anvils are used to estimate vertical profiles of 95-GHz attenuation. Two techniques are developed and compared, using very different assumptions. The first technique examines statistical reflectivity differences between repeated aircraft passes through the same cloud mass at different altitudes. The second technique exploits reflectivity differences between two different pathlengths through the same cloud, using the multibeam capabilities of the cloud radar. Using the first technique, the two-way attenuation coefficient produced by stratiform ice particles ranges between 1 and 1.6 dB km −1 for reflectivities between 13 and 18 dB Z , with an expected increase of attenuation with reflectivity. Using the second technique, the multibeam results confirm these high attenuation coefficient values and expand the reflectivity range, with typical attenuation coefficient values of up to 3–4 dB km −1 for reflectivities of 20 dB Z . The potential impact of attenuation on precipitating-ice-cloud microphysics retrievals is quantified using vertical profiles of the mean and the 99th percentile of ice water content derived from noncorrected and attenuation-corrected reflectivities. A large impact is found on the 99th percentile of ice water content, which increases by 0.3–0.4 g m −3 up to 11-km height. Finally, T-matrix calculations of attenuation constrained by measured particle size distributions, ice crystal mass–size, and projected area–size relationships are found to largely underestimate cloud radar attenuation estimates.

We present five-year monitoring results of 225 GHz zenith opacity using a tipping radiometer at Thule Air Base (Pituffik), Greenland, where the Greenland Telescope is currently located. The site shows a clear seasonal variation with average opacity lower by a factor of two during winter compared with summer, similar to Greenland Summit. The 25%, 50%, and 75% quartiles of the 225 GHz opacity during the winter months of November through April are 0.14, 0.17, and 0.22, respectively. These values are three times larger than those at the Greenland Summit, and the astronomical observing efficiency in this band is about an order of magnitude better at the Summit than at the Thule Air Base. 225 GHz opacity continuously less than 0.2 for 100–200 hr (i.e., for about a week) occurs about 20 times per year, and on several occasions it even reaches up to 300–400 hr (i.e., about two weeks). These statistics indicate that Thule is a very good site for millimeter astronomy that needs very stable opacity conditions, such as continuum camera observations or VLBI observations that span over several days. Estimated transmission spectra in the winter season show that most of the time (75% quartile) observations at frequencies below 300 GHz are possible with modest atmospheric attenuation (opacities < 0.5), and at frequencies below 350 GHz for a quarter of the time. Although the atmospheric transmission is low (only up to ∼20%), the 650 GHz and 850 GHz windows are also accessible for 5% of the wintertime. For about 50% of the summertime, it is possible to observe around the frequency of 220 GHz, which overlaps with the current EHT observation frequency of 221.1 GHz, with modest atmospheric attenuation (opacities < 0.5). On the other hand, the 350 GHz window is very difficult to observe in the summertime.

This work addresses aspects of industrial noise produced by the facilities of oil extraction near Yasuní National Park, located in the Ecuadorian Amazon region. The acoustic sources within this kind of facilities could influence in the wildlife behavior, which could impact negatively on the species. The acoustic wave radial propagation model in an open field is proposed through a geometric divergence attenuation, atmospheric absorption effect, dispersion effects due to obstacles, and soil effects. The initial model without obstacles makes predictions based on an algorithm considering that the data are associated to a GPS position, the first propagation model without obstacles determines the level of sound pressure for each quasi-horizontal measurement ( x, y ). Then, dispersion factors are incorporated through the NORD2000 model to consider the local flora that introduces reflection and dispersion phenomena which are in the environment considering geometric measurements estimated in situ. The pressure level of the model without obstacles decreases as the frequency increases, but with less intensity compared to the pressure level of the model with obstacles. As the frequency increases, there are important fluctuations since the attenuating factors influence more than the correction factors.

Gm-APD LiDAR in the detection of long-distance targets, the laser by the atmospheric effects of attenuation is serious, so that the target echo sparse, easy to cause the target distance like edge missing, details of fuzzy and other problems, the traditional method can’t make targeted treatment of the above problems. Therefore, this paper proposes a Gm-APD LIDAR distance image recovery method based on intensity image target edge guidance. The method introduces one-dimensional intensity information as an aid, combines the inverse distance weighting function to guide the reconstruction of the target edge contour information of the distance image, and then applies morphological image processing to correct the target distance value in a partition, and recovers a distance image with sharp edges and clear details. Experiments are carried out on the distance targets, and the results show that the method improves the target restoration by 19.21% and the peak signal-to-noise ratio by 3.12% compared with the concave morphology restoration algorithm, which verifies the advantages and effectiveness of the method proposed in this paper.