However, regional errors relating to systematic model biases and inadequate representation of tropospheric aerosols are likely to remain.
We fit a 3rd-order polynomial to the RMSE pattern to characterize these errors (Additional file 2: Figure S9), and applied this model to the predicted carbon stock map to estimate regional mapping errors.
As a result, they will be pondering the strange movements of the orange tide and seek its meaning in nebulous terms of shifting tribal allegiance, tactical manoeuvres, regional swings, polling errors, honeymoons and holiday romances.
We applied the reverse contrast SE > SS to evaluate regional brain activation during error processing including affective responses that might differ between stop success and error trials.
In order to provide a quantitative regional assessment of the error and bias after normalisation by the reference region, we computed the relative MAE and ME between the normalised reference PET (R = P E T C T / m e a n r e f ) and each of the PETs corrected with the synthetic μ-maps (I = P E T p C T / m e a n r e f ).
For two standard test cases we successfully estimate the error of regional potential energy, track its evolution, and compare it to standard ensemble techniques.
We highlight the need for greater effort in selecting data sources at the suitable spatial resolution, matching regional peculiarities and minimizing error and uncertainty.
The distribution of the aggregated prediction error of regional wind farms is selected as the criterion to evaluate the accuracy of different spatial models.
Dohm et al. [10] focus on the Solexa 1G sequencing platform and measure aspects such as error rates, regional coverage, and biases towards particular sequences.
Exposure error for regional sources, for example, sulfur, is probably low because of its homogeneity within the study area.
