The CYGNSS constellation of eight satellites was launched in December 2016 into a low inclination Earth orbit. Each satellite carries a four-channel bi-static radar receiver which measures signals transmitted by GPS satellites and scattered back into space by the Earth surface. Over the ocean, surface roughness, near-surface wind speed and air-sea latent heat flux are estimated from the direct measurements of surface scattering cross section. Over the land, estimates of soil moisture and flood inundation are also possible. An overview and the current status of the mission will be presented, together with highlights of recent scientific results.
The NASA Earth Venture Cyclone Global Navigation Satellite System (CYGNSS) is a spaceborne mission scheduled to launch in October 2016 that is focused on tropical cyclone (TC) inner core process studies. CYGNSS attempts to resolve one of the principle deficiencies with current TC intensity forecasts, which lies in inadequate observations and modeling of the inner core. CYGNSS is specifically designed to address these two limitations by combining the all-weather performance of GNSS bistatic ocean surface scatterometry with the sampling properties of a constellation of satellites. CYGNSS measurements of bistatic radar cross section of the ocean can be directly related to the near surface wind speed, in a manner roughly analogous to that of conventional ocean wind scatterometers. The technique has been demonstrated previously from space by the UK-DMC mission in 2005-6.
Global Navigation Satellite System (GNSS) based scatterometry offers breakthrough opportunities for wave, wind, ice,
and soil moisture remote sensing. Recent developments in electronics and nano-satellite technologies combined with
modeling techniques developed over the past 20 years are enabling a new class of remote sensing capabilities that
present more cost effective solutions to existing problems while opening new applications of Earth remote sensing. Key
information about the ocean and global climate is hidden from existing space borne observatories because of the
frequency band in which they operate. Using GNSS-based bi-static scatterometry performed by a constellation of microsatellites
offers remote sensing of ocean wave, wind, and ice data with unprecedented temporal resolution and spatial
coverage across the full dynamic range of ocean wind speeds in all precipitating conditions.
The NASA Cyclone Global Navigation Satellite System (CYGNSS) is a space borne mission being developed to study
tropical cyclone inner core processes. CYGNSS consists of 8 GPS bi-static radar receivers to be deployed on separate
micro-satellites in October 2016. CYGNSS will provide data to address what are thought to be the principle deficiencies
with current tropical cyclone intensity forecasts: inadequate observations and modeling of the inner core. The
inadequacy in observations results from two causes: 1) Much of the inner core ocean surface is obscured from
conventional remote sensing instruments by intense precipitation in the eye wall and inner rain bands. 2) The rapidly
evolving (genesis and intensification) stages of the tropical cyclone life cycle are poorly sampled in time by conventional
polar-orbiting, wide-swath surface wind imagers.
It is anticipated that numerous additional Earth science applications can also benefit from the cost effective high spatial
and temporal sampling capabilities of GNSS remote sensing. These applications include monitoring of rough and
dangerous sea states, global observations of sea ice cover and extent, meso-scale ocean circulation studies, and near
surface soil moisture observations. This presentation provides a primer for GNSS based scatterometry, an overview of
NASA's CYGNSS mission and its expected performance, as well as a summary of possible other GNSS based remote
sensing applications.
Recent developments in electronics and nanosatellite technologies combined with modeling techniques developed over
the past 20 years have enabled a new class of altimetry and wind remote sensing capabilities that offer markedly
improved performance over existing observatories while opening avenues to new applications. Most existing spaceborne
ocean altimetry and wind observatories are in polar low Earth orbits that maximize global coverage but result in either
large gaps at the tropics or long time intervals between geolocation measurement revisits. This, combined with their use
of radar systems operating in the C and Ku-bands, obscures key information about the ocean and the global climate.
Using GNSS-based bi-static scatterometry performed by a constellation of nanosatellites in a non-polar low Earth orbit
could provide ocean altimetry and wind data with unprecedented temporal resolution and spatial coverage across the full
dynamic range of ocean wind speeds in all precipitating conditions – all with a system cost substantially less than
existing and planned systems.
This paper contrasts the performance of a GNSS nanosatellite constellation with the existing monolithic remote sensing
observatories while identifying synergies of the systems that can be exploited to achieve a more complete understanding
of both ocean current and wind phenomena. Two specific applications are reviewed; ocean winds and ocean wave
altimetry. The recently awarded Cyclone Global Navigation Satellite System (CYGNSS) mission will be used for the
ocean wind comparison while a notional GNSS constellation will be used for comparison of the ocean wave altimetry
application. Design requirements, applications, and system implementation are presented for the GNSS nanosatellite
constellation.
Recent developments in millimeter-wave receiver have enabled new remote sensing capabilities. MMIC circuits
operating at frequencies as high as 200 GHz have enabled low-cost mass producible integrated receivers suitable for
array applications. We will describe several ground-based demonstrations of this technology including development of
integrated spectral line receivers for atmospheric remote sensing, a synthetic thinned aperture radiometer for atmospheric
sounding and imaging and polarimetric array radiometers for astrophysics applications.
The Geostationary Synthetic Thinned Aperture Radiometer, GeoSTAR, is a new concept for a microwave atmospheric
sounder intended for geostationary satellites such as the GOES weather satellites operated by NOAA. A small but fully
functional prototype has recently been developed at the Jet Propulsion Laboratory to demonstrate the feasibility of using
aperture synthesis in lieu of the large solid parabolic dish antenna that is required with the conventional approach.
Spatial resolution requirements dictate such a large aperture in GEO that the conventional approach has not been
feasible, and it is only now, with the GeoSTAR approach, that a GEO microwave sounder can be contemplated.
Others have proposed GEO microwave radiometers that would operate at sub-millimeter wavelengths to circumvent the
large-aperture problem, but GeoSTAR is the only viable approach that can provide full sounding capabilities equal to or
exceeding those of the AMSU systems now operating on LEO weather satellites and which have had tremendous impact
on numerical weather forecasting. GeoSTAR will satisfy a number of important measurement objectives, many of them
identified by NOAA as unmet needs in their GOES-R pre-planned product improvements (P3I) lists and others by
NASA in their research roadmaps and as discussed in a white paper submitted to the NRC Decadal Survey. The
performance of the prototype has been outstanding, and this proof of concept represents a major breakthrough in remote
sensing capabilities. The GeoSTAR concept is now at a stage of development where an infusion into space systems can
be initiated, either on a NASA sponsored research mission or on a NOAA sponsored operational mission. GeoSTAR is
an ideal candidate for a joint "research to operations" mission, and that may be the most likely scenario. Additional
GeoSTAR related technology development and other risk reduction activities are under way, and a GeoSTAR mission is
feasible in the GOES-R/S time frame, 2012-2014.
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