Sentence examples for microwave brightness temperature from inspiring English sources

(bottom) Polar microwave brightness temperature (Tb, averaged over the latitude range 60° to 90°) and the unsigned polar magnetic field strength (B).

Our results indicate that the microwave brightness temperature at 19.35 GHz has higher sensitivity to the seismic anomalies in comparison to the other higher frequency channels.

A combination of microwave brightness temperature (Tb) at either two polarizations or two contrasting incidence angles was used to retrieve wg through regressed empirical logarithmic equations with good results, depending on the chosen configuration.

(Top) An overview of solar cycle 24 with respect to cycle 23 using three sets of observations: the international sunspot number (SSN in gray), polar magnetic field strength in the north and south polar regions (B, averaged over the latitude range 60° to 90°, thick lines), and the low-latitude microwave brightness temperature (Tb, averaged over 0 to 40°, thin lines).

(a) Coronal hole area in EUV, (b) coronal hole area that shows microwave enhancement (ME), (c) EUV intensity averaged over the coronal hole area, (d) and the microwave brightness temperature (Tb) averaged over the ME area (from Akiyama et al. 2013).

The satellite datasets used in this study include the coincident and collocated observation of SEVIRI infrared channels, microwave brightness temperature measured by TMI TRM M 1B11) and rain flag derived from TRMM PR measurement (TRM M2A25) for the area of north Algeria.

As an example application, we estimate performance rankings of landscape freeze/thaw (FT) observations derived from model soil temperatures, in-situ station air temperatures and satellite-observed microwave brightness temperatures in Alberta and Saskatchewan, Canada.

Newly developed GNSS-R signal processing techniques, exploiting favourable sampling geometries or instrument refinements, can now be used to extract such factors as significant wave height and roughness field directionality [38, 54] or to relate ocean roughness to surface brightness temperature measured at microwave frequencies [57, 58].

In the present paper, permittivity maps of equatorial lunar surface are generated using brightness temperature (TB) data obtained from Microwave Radiometer (MRM) of Chang'e-1 and physical temperature (TP) data obtained from Diviner of Lunar Reconnaissance Orbiter (LRO).

We applied a temporal change classification of 37 GHz brightness temperature (Tb) series from the Scanning Multichannel Microwave Radiometer (SMMR) and Special Sensor Microwave Imager (SSM/I) to classify daily FT status over global land areas where seasonal frozen temperatures influence ecosystem processes.

This algorithm, named as the Polynya Signature Simulation Method (PSSM), is based on simulating microwave images of polynya events by convolving an assumed brightness temperature distribution with the satellite antenna pattern.