This review prepared for the fourth International Workshop on Tropical Cyclone Landfall
Processes (IWTCLP-4) summarizes the most recent (2015-2017) theoretical and practical …

A deep learning convolutional neural network model is used to explore the possibilities of
estimating tropical cyclone (TC) intensity from satellite images in the 37-and 85–92-GHz …

Differences in the inner-core structure of intensifying [IN; intensity increase of at least 20 kt
(24 h)− 1, where 1 kt= 0.51 ms− 1] and steady-state [SS; intensity remaining between±10 kt …

New multi-lead-time versions of three statistical probabilistic tropical cyclone rapid
intensification (RI) prediction models are developed for the Atlantic and eastern North Pacific …

The structure and evolution of Hurricane Earl (2010) during its rapid intensification as
sampled by aircraft is studied here. Rapid intensification occurs in two stages. During the …

Tropical cyclone (TC) intensity change is controlled by both environmental conditions and
internal storm processes. We show that TC 24‐hr subsequent intensity change (DV24) is …

The structural evolution of the inner core and near-environment throughout the life cycle of
Hurricane Edouard (2014) is examined using a synthesis of airborne and satellite …

In this study, the results of a forecast from the operational Hurricane Weather Research and
Forecast (HWRF) system for Hurricane Earl (2010) are verified against observations and …

Abstract Using a 15-yr (1998–2012) multiplatform dataset of passive microwave satellite
data [tropical cyclone–passive microwave (TC-PMW)] for Atlantic and east Pacific storms …

TRMM satellite 3B42 rainfall estimates for 133 landfalling tropical cyclones (TCs) over China
during 2001–15 are used to examine the relationship between TC intensity and rainfall …