Satellite temperature correlations

Figure 1. On the basis of this observation, and in the absence of skin (< 1 mm) temperature measurements, sea surface radiance was calculated from 2.5-m temperatures and used in the algorithm to correct satellite temperatures to sea surface temperatures. This approach worked well in this study because the relative distribution of 2.5-m temperatures was correlated with the relative distribution of skin temperatures. This conlcusion was supported in two ways (1) the mean difference between surface temperature measured in samples collected in a bucket and the thermistor at 2.5 m was 0.1 °C, and (2) when 2.5-m temperatures were compared with cor-...

J. A. Jackson, also of this laboratory, has made room temperature nuclear magnetic resonance studies of the Knight shift of cadmium in slowly cooled CeCd, 45 alloys with different compositions and different histories. All CeCd 4 5 samples tested showed a major peak at almost the same position and shifted from that of metallic cadmium. One sample showed only this peak, while others clearly showed satellite peaks either at larger or at smaller shift. Possibly some samples had small amounts of both satellite peaks, and there was apparently some further difference in the shapes of satellite peaks and of the major peak these latter observations are tenuous, however, since they were near the resolution limit of the apparatus. The differences apparently do not correlate simply with composition however, they may correlate with differences in microphase structures. 

Temperature, The close correlation between sea surface temperature (2.5 m) and surface temperature as measured at the satellite is evident in... 

Fig. 12.8 Relative intensities of molecular ions from mass spectra of cyclic oligomers ( = 3-14) of cyclododecene, using sample temperatures from 150° to 370°C. Peaks with broken lines in (a), (b), and (c) have been amplified by a factor of 30. Allowance has been made for satellite peaks. The relative intensities at different temperatures are not correlated. Some of the lower members ( = 2, 3) of the series were removed before analysis...

The LST and total petroleum hydrocarbon (TPH) are positively correlated. The methodology followed is based on the fact that most of the satellites carry a thermal infra-red band which can be used for LST estimation. The spatio-temporal variation in the thermodynamic properties of surface material has been mapped in order to identify hydrocarbon polluted surfaces using Landsat TM data. Emissivity is a strong indicator of compositional variation in silicate minerals which make up the bulk of the earth s surface material. Emissivity affects the apparent temperature due to changes in the thermal properties of materials (conductivity, density, capacity, and inertia). There are several algorithms proposed to estimate LST from remotely sensed data. The most common of these are mono-window and split window methods [22-25], the latter was used initially to estimate sea surface temperature. 

Many of the late-type stars close enough to be detected by X-ray satellites have been observed. The X-ray luminosities Lxr are typically 10 " Lboi and the coronal temperatures are consistent with the solar coronal value. Support for the link between magnetic activity and coronal emission comes from the correlation between XR luminosity and stellar rotation frequency Lxr where n appears to be between unity and 2. 

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