Insights into Atmospheric Predictability through Global Convection-Permitting Model
Simulations in: Journal of the Atmospheric Sciences Volume 75 Issue 5 (2018) Jump to …

Imbalance refers to the departure from the large-scale primarily vortical flows in the
atmosphere and ocean whose motion is governed by a balance of Coriolis, pressure …

In this study, we use machine learning (ML) to improve hail prediction by postprocessing
numerical weather prediction (NWP) data from the new High-Resolution Ensemble Forecast …

Three sets of idealized, cloud-resolving simulations are performed to investigate the
sensitivity of tropical cyclone (TC) structure and intensity to the height and depth of …

This study explores the controlling factors of the uncertainties and error growth at different
spatial and temporal scales in forecasting the high-impact extremely heavy rainfall event that …

Warm‐sector torrential rainfall (WR) in the South China monsoon region has long been a
forecasting challenge because of the limited capability of numerical models in heavy rainfall …

We present the encoder-forecaster convolutional long short-term memory (LSTM) deep-
learning model that powers Microsoft Weather's operational precipitation nowcasting …

Abstract The NCAR Whole Atmosphere Community Climate Model (WACCM) is used to
investigate the dynamical influence of the lower and middle atmosphere on the upper …

Using Convection-Allowing Ensembles to Understand the Predictability of an Extreme
Rainfall Event in: Monthly Weather Review Volume 144 Issue 10 (2016) Jump to Content …

The Dependence of the Predictability of Mesoscale Convective Systems on the Horizontal Scale
and Amplitude of Initial Errors in Idealized Simulations in: Journal of the Atmospheric Sciences …