Low‐Temperature Signal Detection in Optically Pumped Rubidium Vapor

1970 ◽  
Vol 41 (12) ◽  
pp. 5025-5026
Author(s):  
Franklin G. Reick
2021 ◽  
Author(s):  
Devika Varma ◽  
Gert-Jan Reichart ◽  
Stefan Schouten

<p>For more than a decade TEX<sub>86</sub> and U<sup>K’</sup><sub>37</sub>, derived from ratios of biomarker lipids have widely been used as organic paleotemperature proxies. Yet, these proxies, especially TEX<sub>86</sub>, have several uncertainties associated with factors such as depth and seasonal biases which are complicating its application as an annual mean sea-surface temperature (SST) proxy. To constrain this impact, we performed a relatively simple modelling exercise where we use instrumental temperature and nutrient data from 40 locations across the globe to predict theoretical proxy values and compare them with measured core-top proxy values.</p><p>The model first uses instrumental nutrient and temperature data, and probability density functions to predict the theoretical depth occurrence of the source organisms of the two proxies. Additionally, seasonal bias was introduced by predicting seasonal occurrences using instrumental nutrient and chlorophyll data. This was used to calculate the depth- and season weighed temperature signal annually deposited in the sediment, which in turn was converted to theoretical proxy values using culture or mesocosm calibrations. This showed, as expected, that depth and seasonal biases introduced scatter in the correlation between theoretical proxy values and annual mean SST but still highly significant for both U<sup>K’</sup><sub>37</sub> (r<sup>2</sup>= 0.96), and TEX<sub>86</sub> (r<sup>2</sup>= 0.77). We find that the theoretical proxy values are much lower than measured proxy value for TEX<sub>86</sub>, which tentatively suggests that TEX<sub>86 </sub>might in fact be coming from shallower depths or that the mesocosm calibration is incorrect. Our model for U<sup>K’</sup><sub>37</sub> results in theoretical values similar to measured values except for low temperature locations. This might suggest an influence of seasonal bias towards more warmer summer seasons which is more pronounced in high latitudes than in tropics.</p>


2006 ◽  
Author(s):  
Masataka Shibamoto ◽  
Kazuhiro Matsumoto ◽  
Hidenori Takasugi ◽  
Masahiro Kato ◽  
N. Shinichi Takahashi

2002 ◽  
Vol 357 (1423) ◽  
pp. 831-847 ◽  
Author(s):  
Maggie Smallwood ◽  
Dianna J. Bowles

Plants are able to survive prolonged exposure to sub–zero temperatures; this ability is enhanced by pre–exposure to low, but above–zero temperatures. This process, known as cold acclimation, is briefly reviewed from the perception of cold, through transduction of the low–temperature signal to functional analysis of cold–induced gene products. The stresses that freezing of apoplastic water imposes on plant cells is considered and what is understood about the mechanisms that plants use to combat those stresses discussed, with particular emphasis on the role of the extracellular matrix.


1997 ◽  
pp. 15-28 ◽  
Author(s):  
Rajinder S. Dhindsa ◽  
Antonio F. Monroy ◽  
Veena Sangwan ◽  
Wojciech Kawczynski ◽  
Etienne Labbé

1993 ◽  
Vol 42 (2) ◽  
pp. 162-166 ◽  
Author(s):  
M. Breton ◽  
N. Cyr ◽  
P. Tremblay ◽  
M. Tetu ◽  
R. Boucher

2011 ◽  
Vol 25 (4) ◽  
pp. 366-371 ◽  
Author(s):  
Zhenyu Zhang ◽  
Defu Cheng ◽  
Mingchang Lian ◽  
Zhijian Zhou ◽  
Jun Wang

1962 ◽  
Vol I-11 (3) ◽  
pp. 215-223 ◽  
Author(s):  
M. E. Packard ◽  
B. E. Swartz

Sign in / Sign up

Export Citation Format

Share Document