[Introduction]
Hurricanes are among the most hazardous weather systems in the world. A better numerical prediction is the key to reducing its threats and damages. And a better initial condition is an essential part of better numerical prediction. Our MAP group is dedicated to improving the data assimilation for the numerical prediction of hurricanes. Our work includes but is not limited to the advances in data assimilation (DA) techniques and DA of advanced inner-core in-situ or remote observations (including airborne and ground-based radar observations as well as all-sky satellite observations). We have been working actively to contribute to both the scientific and operational communities. Parts of our work have been implemented into the operational Hurricane Weather Research and Forecasting (HWRF) system since 2017, and we are an active major developer for the next-generation operational hurricane model, the Hurricane Analysis and Forecasting System (HAFS).
Our most recent research includes:
* ======================================================================== *
Highlights of Recent and Ongoing Research
[The development of an advanced GSI-based hybrid Ensemble-Variational Data Assimilation system for HWRF]
From Lu, X., X. Wang, et al. (2017)
[Exploring the importance of background error covariance in the DA of high-resolution inner-core observations with HWRF]
From Lu, X., X. Wang, et al. (2017)
[Exploring the importance of vortex relocation in a continuously cycled EnVar DA and forecast system with HWRF]
From Lu, X., X. Wang, et al. (2017)
[Exploring the reason for spin-down in hurricane predictions with HWRF]
From Lu and Wang (2019)
[Exploring the Four-Dimensional Incremental Analysis Update (4DIAU) in rapidly evolving hurricane prediction with HWRF]
From Lu and Wang (2021)
[Comparing the 6Hourly-4DEnVar, Hourly-3DEnVar and 6Hourly-3DEnVar in the assimilation of inner-core observations for hurricane predictions with HWRF]
From Davis, B., X. Wang, et al. (2021); Lu, X., X. Wang, et al. (2017)
[Exploring the impact of assimilation of different inner-core observations in hurricanes with HWRF]
From Lu and Wang (2020)
[Exploring the DA of enhanced Atmospheric Motion Vectors (AMVs) for hurricane intensity predictions with HWRF]
From Lu, X., X. Wang, et al. (2022)
[Exploring the DA of ground-based radar observations in hurricane predictions with HWRF]
From Green, T., X. Wang, et al. (2022); Lu and Wang (2012; In Review)
[Exploring the DA of all-sky satellite radiance observations with HAFS]
[Exploring the Scale-Dependent Localization (SDL) DA method in hurricane predictions with HAFS]
[Exploring the Dynamics of mesoscale descending inflow to a secondary eyewall formation]
