Preprints
https://doi.org/10.5194/gmd-2021-74
https://doi.org/10.5194/gmd-2021-74

Submitted as: development and technical paper 02 Jun 2021

Submitted as: development and technical paper | 02 Jun 2021

Review status: this preprint is currently under review for the journal GMD.

Implementation of aerosol data assimilation in WRFDA (V4.0.3) for WRF-Chem (V3.9.1) using the MADE/VBS scheme

Soyoung Ha Soyoung Ha
  • National Center for Atmospheric Research, Boulder, Colorado, USA

Abstract. The Weather Research and Forecasting model data assimilation (WRFDA) system, initially designed for meteorological data assimilation, is extended for aerosol data assimilation for the WRF model coupled with Chemistry (WRF-Chem). An interface between WRF-Chem and WRFDA is built for the Regional Atmospheric Chemistry Mechanism (RACM) chemistry and the Modal Aerosol Dynamics Model for Europe (MADE) coupled with the Volatility Basis Set (VBS) aerosol schemes. This article describes the implementation of the new interface for assimilating PM2.5, PM10, and four gas species (SO2, NO2, O3, and co) on the ground. And the effects of aerosol data assimilation are briefly examined through a month-long case study during the Korea-United States Air Quality (KORUS-AQ) period. It is demonstrated that the 3DVAR analysis can lead to consistent forecast improvements up to 26 %, diminishing most systematic bias errors for 24 h.

Soyoung Ha

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-74', Anonymous Referee #1, 27 Jul 2021
  • RC2: 'Comment on gmd-2021-74', Anonymous Referee #2, 15 Sep 2021

Soyoung Ha

Model code and software

WRFDA3.9.1_WRF-Chem Soyoung Ha https://doi.org/10.5281/zenodo.4594671

Soyoung Ha

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Short summary
To better initialize the aerosol species dominated over the East Asian region, the RACM-MADE-VBS scheme is chosen in the WRF-Chem model and its interface with the WRFDA 3DVAR system is newly implemented for the assimilation of surface PM2.5 and PM10. Through a case study during the Korea-United States Air Quality (KORUS-AQ) period, it is demonstrated that the analysis can lead to forecast improvements up to 26 % for 24 h, implying that surface aerosol concentrations are successfully assimilated.