CYGNSS: Enabling the Future of Hurricane Prediction [Remote Sensing Satellites]

Ruf, Christopher S.; Lyons, Anthony P.; Unwin, Martin; Dickinson, John R.; Rose, Randy; Rose, Debi; Vincent, Michael A.

doi:10.1109/mgrs.2013.2260911

Cited by 215 publications

(99 citation statements)

References 11 publications

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“…It consists in computing feasible planning of communications between satellites or spacecraft (SC) and operations teams of Ground Station (GS). The problem arises in many real life applications and projects, such as hurricane prediction [11], tele imagery systems and earth observation [9], [13], etc.…”

Section: Introductionmentioning

confidence: 99%

A Tabu Search Algorithm for Ground Station Scheduling Problem

Xhafa

Herrero

Barolli

et al. 2014

2014 IEEE 28th International Conference on Advanced Information Networking and Applications

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Section: Introductionmentioning

confidence: 99%

A Tabu Search Algorithm for Ground Station Scheduling Problem

Xhafa

Herrero

Barolli

et al. 2014

2014 IEEE 28th International Conference on Advanced Information Networking and Applications

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“…Dropsondes have extracted data from eyes and eyewalls of hurricanes, as well as from the surrounding environment. A Cyclone Global Navigation Satellite System has been also presented as a tool for hurricane prediction [147]. Hurricane-induced ocean waves are examined by Chen and Curcic [148].…”

Section: Hurricanesmentioning

confidence: 99%

Current Efforts for Prediction and Assessment of Natural Disasters: Earthquakes, Tsunamis, Volcanic eruptions, Hurricanes, Tornados, and Floods

2017

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Abstract. This article presents a state-of-the-art review of di erent methods, signal and image processing techniques, and statistical analyses used for prediction and assessment of natural disasters including earthquakes, tsunamis, volcanic eruptions, hurricanes, tornadoes, and oods. Application of the big data paradigm to the aforementioned natural disasters is also discussed. The research for increasingly more sophisticated computational models will continue to achieve more accurate predictions of various natural disasters.

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“…1.5.3;Ulaby et al, 1986 or Zavorotny andVoronovich, 2000), and the receiver antenna would be able to discriminate a reflection. This is the case of dedicated Global Navigation Satellite System (GNSS) reflectometry missions such as NASA's CyGNSS (Ruf et al, 2013). However, during an occultation, the signal has low elevation over the horizon, and a reflection does not reverse the polarization.…”

Section: Introductionmentioning

confidence: 99%

“…Receivers that track the reflection exist, although their focus is mostly the measurement of this diffuse scatter of random phase, a signature of the sea state. Recently, two spaceborne missions specifically dedicated to collecting GPS reflected signals have been launched into Low Earth Orbit: UK's TDS-1, in 2014 (Unwin et al, 2016) and NASA's CYGNSS, in 2016, (Ruf et al, 2013). ESA is also investigating a GNSS reflectometry (GNSSR) experiment from the International Space Station, the GEROS-ISS (Wickert et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Information content in reflected signals during GPS Radio Occultation observations

2018

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Abstract. The possibility of extracting useful information about the state of the lower troposphere from the surface reflections that are often detected during GPS radio occultations (GPSRO) is explored. The clarity of the reflection is quantified, and can be related to properties of the surface and the low troposphere. The reflected signal is often clear enough to show good phase coherence, and can be tracked and processed as an extension of direct non-reflected GPSRO atmospheric profiles. A profile of bending angle vs. impact parameter can be obtained for these reflected signals, characterized by impact parameters that are below the apparent horizon, and that is a continuation at low altitude of the standard non-reflected bending angle profile. If there were no reflection, these would correspond to tangent altitudes below the local surface, and in particular below the local mean sea level. A forward operator is presented, for the evaluation of the bending angle of reflected GPSRO signals, given atmospheric properties as described by a numerical weather prediction system. The operator is an extension, at lower impact parameters, of standard bending angle operators, and reproduces both the direct and reflected sections of the measured profile. It can be applied to the assimilation of the reflected section of the profile as supplementary data to the direct section. Although the principle is also applicable over land, this paper is focused on ocean cases, where the topographic height of the reflecting surface, the sea level, is better known a priori.

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CYGNSS: Enabling the Future of Hurricane Prediction [Remote Sensing Satellites]

Cited by 215 publications

References 11 publications

A Tabu Search Algorithm for Ground Station Scheduling Problem

A Tabu Search Algorithm for Ground Station Scheduling Problem

Current Efforts for Prediction and Assessment of Natural Disasters: Earthquakes, Tsunamis, Volcanic eruptions, Hurricanes, Tornados, and Floods

Information content in reflected signals during GPS Radio Occultation observations

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