Hui-Chuan Lin

TL;DR: An overview of the scientific capabilities of WRFDA is provided, and together with results from sample operation implementations at the U.S. and international levels, the challenges associated with balancing academic, research, and operational data assimilation requirements in the context of the WRF effort to date are discussed.

TL;DR: WRF 4D-Var uses the WRF model as a constraint to impose a dynamic balance on the assimilation and is shown to implicitly evolve the background error covariance and to produce the flow-dependent nature of the analysis increments.

TL;DR: In this article, the authors used the Community Radiative Transfer Model (CRTM) to calculate AOD using GOCART aerosol variables as input, and the AOD forward model and corresponding Jacobian model were developed within the CRTM and used in the 3DVAR minimization algorithm to compute the AOC cost function and its gradient with respect to 3D aerosol mass concentration.

TL;DR: In this article, the authors assimilated AOD and surface PM2.5 observations with the National Centers for Environmental Prediction (NCEP) Gridpoint Statistical Interpolation (GSI) three-dimensional variational (3DVAR) data assimilation system.

TL;DR: The Arctic System Reanalysis, version 2 (ASRv2) as mentioned in this paper is a multi-agency, university-led retrospective analysis (reanalysis) of the greater Arctic region using blends of the polaroptimized version of the Weather Research and Forecasting (Polar WRF) Model and three-dimensional variational data assimilated observations for a comprehensive integration of the regional climate of the Arctic for 2000-12.