The model outputs matched quite well ground observations when ground LST data were used, while differences increased when MODIS and SEVIRI LST were used.
When the data and the simulations are plotted in the force-elongation plane (bottom row in Fig. 4) it appears clear that the models' output matches the data only for the first 0.5 mm or so, and then they diverge.
In other words, the number of hit rate or the number of times in which the model output matches to the observation.
The variables must be determined such that the model's outputs match the ground reality reflected in archived measurements such as time-varying traffic counts observed across several days.
It is much (up to 300 times) faster than classical, model-based approaches while outputs match those of state-of-the-art methods such as sNMF.
Model outputs were matched to target data for 90, 100 and 110% of resting sarcomere length.
Model outputs are matched to a minimal set of measurements, including features from the aortic and pulmonary artery pressure waveforms, stroke volume, heart rate, global end diastolic volume (GEDV), and mitral and tricuspid valve closure times, all of which are commonly available.
In the 4 January issue of Science, a group of researchers describe a new top-down approach: They plugged different combinations of values for fundamental properties of the climate system into a computer model and looked to see how well the model's output matched long-term observations.
Theoretical modelling outputs perfectly match our results obtained from photo-physical studies of the processes leading to enhanced photocurrent.
