Chun-Hsu Su

TL;DR: In this article, the state of the art of diamond-based single-photon emitters and their fabrication methodologies are discussed, and the main challenges and perspectives for employing diamond emitters in quantum information processing are discussed.

TL;DR: This study reviews existing error presentations and proposes the combined investigation of the SNR (expressed in logarithmic units), the unscaled error variances, and the soil moisture sensitivities of the data sets as an optimal strategy for the evaluation of remotely-sensed soil moisture data sets.

TL;DR: In this paper, the authors evaluate three soil moisture products from AMSR-E (Advanced Microwave Scanning Radiometer), ASCAT (Advanced Scatterometer) and SMOS (Soil Moisture and Ocean Salinity) on a common grid, against in-situ observations from southeast Australia.

TL;DR: In this article, satellite soil moisture data (SM-DA) is used to correct bias in soil moisture and streamflow in the ensemble generation process, and for seasonal biases and errors in the satellite data.

TL;DR: In this paper, the authors proposed a method to circumvent the three-data constraint by using lagged variables (LV) as instruments, which is suitable for circumstances where multiple data records are limited and the geophysical variable of interest is sampled at time intervals shorter than its temporal correlation length.