Sentence examples for temporal lag from inspiring English sources
"temporal lag" is a perfectly valid and usable term in written English
It is often used to refer to the amount of time between two related events or changes. For example, "There was a noticeable temporal lag between the rise in unemployment and the decrease in public sector spending."
Nonetheless, increase in the temporal lag between calibration and validation periods reduces the overall performance gap between the three parameter transfer schemes.
We further demonstrate that the superiority of temporal parameter transfer scheme is preserved even when: (1) spatial distance between donor and receiver catchments is reduced, or (2) temporal lag between calibration and validation periods is increased.
The main contribution to the force increase is found to originate from the increased rotational speed, but a significant part is also due to the temporal lag in turbine wake development.
A correlator estimates the channel from the received signal y(j)(t) at each sensor j, and temporal lag s, with the help of the pseudo-noise sequence p(n) of N p symbols, z_{s}^{(j)}left(t right) = frac{1}{{{N_{p}}}}sumlimits_{n} {{y^{left(j right)}}left {t + {tau_{s}} + nT} right){p^left(n right)} (5).
Three key factors enable quantification of the surface subsurface coupling: a sampling design to overcome the temporal lag and spatial displacement between surface and subsurface processes; data on the size partitioning of net primary production (NPP) and subsequent transformations prior to export; estimates of the ratio of algal- to faecal-mediated vertical export flux.
We found a temporal lag between peak seasons for poultry and wild bird outbreaks on the Qinghai-Tibet Plateau (Fisher's Exact Test, p = 0.008, Fig. 6a).
This work examines the effect of temporal lags in energy storage in both terrestrial and aquatic ecosystems.
Analyses show energy storage terms have unique temporal lags that vary between ecosystem and time of year, from having zero lag to several hour timelags within terrestrial ecosystems, depending primarily on water content.
The temporal lags can vary not only with respect to the temporal scales of groundwater processes, but also the different identified groundwater regions, which can associate with distinct physical mechanisms.
Understory species diversity displayed a greater response to urbanization than did canopy diversity, suggesting temporal lags in canopy response to disturbances associated with present and recent land-use changes.
Therefore GPR applications can be extended beyond spatial interpolation to regression problems, estimating the weights of observed values form temporal lags and spatial points using the known covariance structures.
