Mechanical and Thermal Properties

Vollath, D.

doi:10.1007/978-3-662-10719-5_1

Cited by 2 publications

(2 citation statements)

References 446 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the SRT server daily receives the output data of an accurate weather forecast model (WRFM 8 ) managed by the agency responsible for the regional hydroweather forecasts, ARPAS 9 , see bottom panel in figure 2. The WRFM output provides a reliable forecast of opacity, brightness temper ature and the water molecule concentration, in the atmos pheric layers over the SRT site.…”

Section: Atmosphere Monitoring Systemmentioning

confidence: 99%

“…The Control Centre includes a central processing unit in which the Trimble GPSNet software processes receiver data on an epoch by epoch basis in order to create correction streams for field users [9]. In addition, the software archives reference station data and atmospheric biases (zenith ion ospheric and tropospheric delays), for post processing services.…”

Section: Sardinia Gps Networkmentioning

confidence: 99%

See 1 more Smart Citation

An atmosphere monitoring system for the Sardinia radio telescope

Buffa

Bolli

Sanna

et al. 2016

Meas. Sci. Technol.

View full text Add to dashboard Cite

The Sardinia Radio Telescope (SRT) is a new facility managed by the Italian National Institute for Astrophysics (INAF). SRT will detect the extremely faint radio wave signals emitted by astronomical objects in a wide frequency range from decimeter to millimeter wavelengths. Especially at high frequencies (>10 GHz), bad weather conditions and interactions between signal and atmospheric constituents (mainly water and oxygen molecules) can strongly affect the radio astronomic observation reducing the antenna performances, for instance, increasing the pointing error or decreasing the sensitivity. Thus, modern ground-based telescopes are usually equipped with systems able to examine in real-time several atmospheric parameters (opacity, integrated water vapor, etc.), and in some cases to forecast the weather conditions (wind, rain, snow, etc.), in order to ensure the antenna safety and support the schedule of the telescope observations. Here, we describe the Atmosphere Monitoring System (AMS) realized with the aim to improve the SRT operative efficiency. It consists of a network of different sensors such as radiometers, radiosondes, weather stations, GPS and some well-established weather models. After a validation of the scheme, we successfully tested the AMS in two real practical scenarios, comparing the AMS outcomes with those of independent techniques. In the first one we were able to detect an incoming storm front applying different techniques (GPS, radiometer and the weather forecast model), while in the last one we modeled the SRT antenna system temperature at 22 GHz processing the AMS data set.

show abstract

Section: Atmosphere Monitoring Systemmentioning

confidence: 99%

Section: Sardinia Gps Networkmentioning

confidence: 99%