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Proceedings ArticleDOI

Mitigating the impact of clouds on optical communications

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TLDR
In this article, a high-resolution cloud climatology based on NOAA Geostationary Environmental Operational Satellite (GOES) imager data is developed to study cloud effects on optical communications.
Abstract
NASA Jet Propulsion Laboratory (JPL) is interested in adding optical communications to its deep space communications network. Clouds adversely affect the transmission of optical communications. Mitigating the effects of clouds to achieve reliable communications requires a geographically diverse set of ground receiver stations. To study cloud effects on optical communications we have developed a high-resolution cloud climatology based on NOAA Geostationary Environmental Operational Satellite (GOES) imager data. The GOES imager includes multi-spectral channels, one visible and four infrared, at 4-km spatial resolution and 15-minute temporal resolution. Cloud detection is accomplished by modeling the radiance of the ground in the absence of clouds and comparing these to the actual radiance values from the imagery. A composite cloud decision is formed by objectively combining the results of the tests from the individual channels. Ground site selection studies are accomplished using the Lasercom Network Optimization Tool (LNOT). LNOT applies a discrete optimization algorithm to the cloud climatology dataset to find the optimal number and locations of ground stations for a given concept of operations. Applying LNOT to the JPL problem, we find that 90% availability could be achieved with 4-5 ground stations in the continental US (CONUS) and Hawaii. We also present the results of a pilot study that includes 6 months of cloud data over South America. We are continuing to expand our study by developing a global cloud analysis database, which will be used to identify the number and locations of global optical ground stations needed to achieve 90-97% availability. Currently, we are developing cloud detection capability over regions of interest in Europe, Africa, the Middle East, Asia and Australia based on the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) satellites: Meteosat-5, -7, -8 and NOAA GOES-9 imagery currently being operated by the Japanese Meteorological Agency (JMA)

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Citations
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Trends in satellite communications and the role of optical free-space communications [Invited]

TL;DR: This paper describes and compares the major features of radio and optical frequency communications systems in space and predicts the needs of future satellite communications.
Proceedings ArticleDOI

Deep-space to ground laser communications in a cloudy world

TL;DR: In this article, the TASC Lasercom Network Optimization Tool (LNOT) is used to determine optimal networks of receiving stations by analyzing cloud mask data from the continental United States, Hawaii, South America, Europe, northern and southern Africa, the Middle East, central and eastern Asia, and Australia.
Dissertation

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Journal ArticleDOI

Approximation methods for estimating the availability of optical ground networks

TL;DR: A new approach is presented for quantifying the availability of an optical ground network that is both computationally inexpensive and suitable for high-level architectural concept studies and several approximation methods are used to estimate the probability of having a certain number of space-to-ground links fail due to cloud coverage.
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Portable optical ground stations for satellite communication

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References
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Journal ArticleDOI

Advances in the Detection and Analysis of Fog at Night Using GOES Multispectral Infrared Imagery

TL;DR: In this article, a technique for the detection of fog and low clouds at night using multispectral infrared (IR) imagery from Geostationary Operational Environmental Satellites (GOES) is described.
Journal ArticleDOI

Stratus and Fog Products Using GOES-8–9 3.9-μm Data

TL;DR: In this paper, the authors discuss the potential for consistent, around-the-clock image products that can trace the movement and evolution of low, stratiform clouds using data from the GOES-8-9 imager.
Journal ArticleDOI

Snow/Cloud Discrimination with Multispectral Satellite Measurements

TL;DR: In this paper, a multispectral technique was developed and evaluated for discriminating between clouds, snow-covered land and snow-free land in satellite image data, based primarily on the derived channel 3 reflectance.
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