Sensitivity of numerical simulation of early rapid intensification of Hurricane Emily (2005) to cloud microphysical and planetary boundary layer parameterizations

X Li, Z Pu - Monthly Weather Review, 2008 - journals.ametsoc.org
An advanced research version of the Weather Research and Forecasting (ARW) Model is
used to simulate the early rapid intensification of Hurricane Emily (2005) using grids nested …

The impact of microphysical schemes on hurricane intensity and track

WK Tao, JJ Shi, SS Chen, S Lang, PL Lin… - Asia-Pacific Journal of …, 2011 - Springer
During the past decade, both research and operational numerical weather prediction
models [eg the Weather Research and Forecasting Model (WRF)] have started using more …

Impact of satellite radiance data on simulations of Bay of Bengal tropical cyclones using the WRF-3DVAR modeling system

A Routray, UC Mohanty, KK Osuri… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This study attempts to evaluate whether assimilating radiance observations in the Weather
Research and Forecasting (WRF) model could improve track, intensity, and precipitation …

The influence of assimilating dropsonde data on typhoon track and midlatitude forecasts

M Weissmann, F Harnisch, CC Wu… - Monthly Weather …, 2011 - journals.ametsoc.org
A unique dataset of targeted dropsonde observations was collected during The Observing
System Research and Predictability Experiment (THORPEX) Pacific Asian Regional …

Assimilation of high-resolution satellite-derived atmospheric motion vectors: Impact on HWRF forecasts of tropical cyclone track and intensity

C Velden, WE Lewis, W Bresky… - Monthly Weather …, 2017 - journals.ametsoc.org
It is well known that global numerical model analyses and forecasts benefit from the routine
assimilation of atmospheric motion vectors (AMVs) derived from meteorological satellites …

The impact of satellite-derived wind data assimilation on track, intensity and structure of tropical cyclones over the North Indian Ocean

KK Osuri, UC Mohanty, A Routray… - International Journal of …, 2012 - Taylor & Francis
In the present satellite era, remote-sensing data are more useful to improve the initial
condition of the model and hence the forecast of tropical cyclones (TCs) when they are in the …

An Assessment of Dropsonde Sampling Strategies for Atmospheric River Reconnaissance

M Zheng, R Torn, L Delle Monache… - Monthly Weather …, 2024 - journals.ametsoc.org
During a 6-day intensive observing period in January 2021, Atmospheric River
Reconnaissance (AR Recon) aircraft sampled a series of atmospheric rivers (ARs) over the …

Improved forecast skill through the assimilation of dropsonde observations from the Atmospheric River Reconnaissance program

M Zheng, L Delle Monache… - Journal of …, 2021 - Wiley Online Library
Landfalling atmospheric rivers (ARs) over the western US are responsible for∼ 30%–50%
of the annual precipitation, and their accurate forecasts are essential for aiding water …

Impact of airborne Doppler radar data assimilation on the numerical simulation of intensity changes of Hurricane Dennis near a landfall

Z Pu, X Li, J Sun - Journal of the atmospheric sciences, 2009 - journals.ametsoc.org
Accurate forecasting of a hurricane's intensity changes near its landfall is of great
importance in making an effective hurricane warning. This study uses airborne Doppler …

[HTML][HTML] Impacts of assimilating CYGNSS satellite ocean-surface wind on prediction of landfalling hurricanes with the HWRF model

Z Pu, Y Wang, X Li, C Ruf, L Bi, A Mehra - Remote Sensing, 2022 - mdpi.com
This study examines the impacts of assimilating ocean-surface winds derived from the NASA
Cyclone Global Navigation Satellite System (CYGNSS) on improving the short-range …