22 citations · 66 across the 7 of their papers we have counts for
7 papers
Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
Da Fan, David John Gagne, Steven J. Greybush +3
This study evaluated the probability and uncertainty forecasts of five recently proposed Bayesian deep learning methods relative to a deterministic residual neural network (ResNet)…
Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations
Da Fan, Steven J. Greybush, David John Gagne +1
Convection initiation (CI) nowcasting remains a challenging problem for both numerical weather prediction models and existing nowcasting algorithms. In this study, object-based pro…
Maximum likelihood estimation of cloud height from multi-angle satellite imagery
E. Anderes, B. Yu, V. Jovanovic +4
We develop a new estimation technique for recovering depth-of-field from multiple stereo images. Depth-of-field is estimated by determining the shift in image location resulting fr…
Time correlations and 1/f behavior in backscattering radar reflectivity measurements from cirrus cloud ice fluctuations
K. Ivanova, T. P. Ackerman, E. E. Clothiaux +3
The state of the atmosphere is governed by the classical laws of fluid motion and exhibits correlations in various spatial and temporal scales. These correlations are crucial to un…
A case study of stratus cloud base height multifractal fluctuations
K. Ivanova, H. N. Shirer, E. E. Clothiaux +4
The complex structure of a typical stratus cloud base height (or profile) time series is analyzed with respect to the variability of its fluctuations and their correlations at all…
Evaluating the quality of ground-based microwave radiometer measurements and retrievals using detrended fluctuation and spectral analysis methods
K. Ivanova, E. E. Clothiaux, H. N. Shirer +3
Time series both of microwave radiometer brightness temperature measurements at 23.8 and 31.4 GHz and of retrievals of water vapor and liquid water path from these brightness tempe…