scholarly journals High-frequency temperature variability mirrors fixed differences in thermal limits of the massive coral Porites lobata

2018 ◽  
Vol 221 (24) ◽  
pp. jeb188581 ◽  
Author(s):  
Daniel J. Barshis ◽  
Charles Birkeland ◽  
Robert J. Toonen ◽  
Ruth D. Gates ◽  
Jonathon H. Stillman
Keyword(s):  
High Frequency ◽  
Temperature Variability ◽  
Massive Coral ◽  
Thermal Limits ◽  
Porites Lobata ◽  
Frequency Temperature

scholarly journals High frequency temperature variability reduces the risk of coral bleaching

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Aryan Safaie ◽  
Nyssa J. Silbiger ◽  
Timothy R. McClanahan ◽  
Geno Pawlak ◽  
Daniel J. Barshis ◽  
...  
Keyword(s):  
Coral Bleaching ◽  
High Frequency ◽  
Temperature Variability ◽  
Frequency Temperature

scholarly journals Author Correction: High frequency temperature variability reduces the risk of coral bleaching

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Aryan Safaie ◽  
Nyssa J. Silbiger ◽  
Timothy R. McClanahan ◽  
Geno Pawlak ◽  
Daniel J. Barshis ◽  
...  
Keyword(s):  
Coral Bleaching ◽  
High Frequency ◽  
Temperature Variability ◽  
Frequency Temperature

scholarly journals Persistent Effect of Temperature on GDP Identified from Lower Frequency Temperature Variability

2021 ◽  
Author(s):  
Bernardo Bastien-Olvera ◽  
Frances Moore
Keyword(s):  
Climate Change ◽  
Temperature Variation ◽  
Cost Benefit ◽  
Temperature Variability ◽  
Effect Of Temperature ◽  
Economic Sectors ◽  
Human Welfare ◽  
Economic Productivity ◽  
Economic Output ◽  
Frequency Temperature

Abstract It is well established that temperature variability affects a range of outcomes relevant to human welfare, including health (Gasparrini et al., 2017) emotion and mood (Baylis et al., 2018), and productivity across a number of economic sectors (Carleton & Hsiang, 2016; Dell et al., 2014). However, a critical and still unresolved empirical question is whether temperature variation has a long-lasting effect on economic productivity and, therefore, whether damages compound over time in response to long-lived changes in temperature expected with climate change. Several studies have identified a relationship between temperature and GDP (Burke et al., 2015; Dell et al., 2012; Kalkuhl & Wenz, 2020), but empirical evidence as to the persistence of these effects is still weak. This paper presents a novel approach to isolate the persistent component of temperature effects on output using lower frequency temperature variation. Using three different datasets we find that longer temperature anomalies affect GDP growth as much or more than short-lived anomalies, implying persistent and therefore cumulative effects of climate change on economic output. The population-weighted global effect of -0.8 pp per degree is sufficient to reduce per-capita income in 2100 by 44% under RCP6, approximately an order of magnitude larger than damages currently represented in cost-benefit integrated assessment models (Diaz & Moore, 2017).

Assessment of detection limits of fiber-optic distributed temperature sensing for detection of illicit connections

2013 ◽  
Vol 67 (12) ◽  
pp. 2712-2718 ◽  
Author(s):  
Jaap Nienhuis ◽  
Cornelis de Haan ◽  
Jeroen Langeveld ◽  
Martijn Klootwijk ◽  
François Clemens
Keyword(s):  
High Frequency ◽  
Fiber Optic ◽  
Detection Limits ◽  
Temperature Sensing ◽  
Distributed Temperature Sensing ◽  
Monitoring Equipment ◽  
Sewer Systems ◽  
Set Up ◽  
Frequency Temperature ◽  
Storm Sewer

Distributed temperature sensing (DTS) with fiber-optic cables is a powerful tool to detect illicit connections in storm sewer systems. High-frequency temperature measurements along the in-sewer cable create a detailed representation of temperature anomalies due to illicit discharges. The detection limits of the monitoring equipment itself are well-known, but there is little information available on detection limits for the discovery of illicit connections, as in mixing of sewers, and attenuation also plays an important role. This paper describes the results of full-scale experiments aiming to quantify the detection limits for illicit connections under various sewer conditions. Based on the results, a new monitoring set-up for (partially) filled sewer conduits has been proposed.

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