  A new resolvent-based method is developed to predict the space-time
properties of the flow field. To overcome the deterioration of the prediction
accuracy with the increasing distance between the measurements and predictions
in the Resolvent-Based Estimation (RBE), the newly proposed method utilizes the
RBE to estimate the relative energy distribution near the wall rather than the
absolute energy directly estimated from the measurements. Using this extra
information from RBE, the new method modifies the energy distribution of the
spatially uniform and uncorrelated forcing that drives the flow system by
minimizing the norm of the cross-spectral density (CSD) tensor of the error
matrix in the near-wall region in comparison with the RBE-estimated one, and
therefore it is named as the Resolvent-informed White-noise-based Estimation
(RWE) method. For validation, three time-resolved direct numerical simulation
(DNS) datasets with the friction Reynolds numbers $Re_\tau = 180$, 550, and 950
are generated, with various locations of measurements ranging from the
near-wall region ($y^+ = 40$) to the upper bound of the logarithmic region
($y/h \approx 0.2$) for the predictions. Besides the RWE, three existing
methods, i.e., the RBE, the $\lambda$-model, and the White-noise-Based
Estimation (WBE), are also included for the validation. The performance of the
RBE and $\lambda$-model in predicting the energy spectra shows a strong
dependence on the measurement locations. The newly proposed RWE shows a low
sensitivity on $Re_{\tau}$ and the measurement locations, which may range from
the near-wall region to the upper bound of the logarithmic region, and has a
high accuracy in predicting the energy spectra.
