A new-generation sand and dust storm forecasting system GRAPES_CUACE/Dust: Model development, verification and numerical simulation

Abstract

Based on the new-generation Global/Regional Assimilation and PrEdiction System (GRAPES) developed by the Numerical Prediction Research Center, China Meteorological Administration and the Chinese Unified Atmospheric Chemistry Environment for Dust Atmospheric Chemistry Module (CUACE/Dust) developed by the Centre for Atmosphere Watch and Services (CAWAS) of the Chinese Academy of Meteorological Sciences (CAMS), the China sand and dust storm forecasting system GRAPES /CUACE-Dust model has been established. The latest data of land desertification, optical properties of China sand and dust aerosols, daily soil moisture and snow cover over China main land was introduced in this system. The system showed good performance in mass conservation. The comparisons of real-time prediction outputs with surface observations and aerosol indices derived from TOMS ozone spectrophotometers (TOMS AI) indicate that the model can predict the outbreak, development, transport and depletion processes of sand and dust storms accurately over China and the East Asian region. The system makes real-time quantitative prediction of a series of elements including sand and dust injection from the surface, dry and wet deposition amount, dust concentration and optical depth. We selected 7 major dust storms occurring in April 2006 and analyzed the spatiotemporal distribution patterns of dust emission, dry and wet deposition and atmospheric load in this paper. The results showed that about 225 million tons of dust were emitted into the atmosphere from the deserts over east Asia in that month. The 3 major sand and dust sources were just as the following: The deserts in northern Inner Mongolia and the boundary area around China-Mongolia were the first dust sources with a contribution of 153 million tons accounting for 68% of the total emission. The Taklimakan Desert ranked second and contributed approximately 40 million tons accounting for 17% of the dust emission.The Onqin Daga Sandland emitted about 15 million tons or 7% of the total emission. The contributions from other deserts, sandy lands and abandoned farmlands were about only 8% of the total dust emission. The total deposition over the East Asian region in April 2006 was 136 million tons. The regional distribution of dust deposition showed that the 3 major sources were also the major deposition areas. The deposition amount in the 3 major sources accounted for 78% of the total with about 135 million tons falling back to the source regions. The secondary deposition area was the China mainland downriver, where more than 2 million tons deposited accounting for 16% of the total deposition. The deposition over the region east of 120°E including China off-shore regions, Korean Peninsula, Japan and the West Pacific took only 6% of the total deposition, which was about 850000 tons. The analysis on dry and wet deposition showed that dry deposition dominated in the process, accounting for 94% of the total sand and dust depositions in the period and wet deposition only was around for 6%, since it was general...

Mesoscale modeling study of the interactions between aerosols and PBL meteorology during a haze episode in Jing–Jin–Ji (China) and its nearby surrounding region – Part 1: Aerosol distributions and meteorological features

“…Components of the CUACE atmospheric chemistry model include an emission inventory and process system; gaseous, physical aerosol and chemistry processes; and related thermodynamic equilibrium modules for processing the transformation between gas and particle matter (Gong and Zhang, 2008;Wang et al, 2009Wang et al, , 2010. The CUACE module tracer consists of 66 gas species and seven species of aerosols, with 12 particle size bins.…”

Modeling study of PM<sub>2.5</sub> pollutant transport across cities in China's Jing–Jin–Ji region during a severe haze episode in December 2013

“…The new-generation Global/Regional Assimilation and PrEdiction System (GRAPES_Meso) and the Chinese Unified Atmospheric Chemistry Environment (CUACE) model developed by the Chinese Academy of Meteorological Science (CAMS), the CMA, were integrated to build an online chemical weather forecasting model, GRAPES-CUACE, focusing especially on haze pollution forecasting in China and East Asia Wang et al, 2009). GRAPES_Meso was adopted as the numerical weather prediction model for aerosol determination.…”

“…regional air quality and climate models) on various temporal and spatial scales. It has thus been integrated online with GRAPES_Meso to produce the GRAPES-CUACE model (Wang et al, 2009(Wang et al, , 2010(Wang et al, , 2015a. Dust particles are divided into 12 size bins , following guidelines provided by the measurement of soil dust size in Chinese desert regions during 1994-2001 .…”

Detection of critical PM<sub>2.5</sub> emission sources and their contributions to a heavy haze episode in Beijing, China, using an adjoint model

“…The GRAPES-CUACE is an online coupled atmospheric chemistry modeling system (Wang et al, 2009;Zhou et al, 2012;Jiang et al, 2015) developed by the China Meteorological Administration (CMA). GRAPES-Meso is a regional meteorological model (Xue et al, 2008) within GRAPES-CUACE, and CUACE is an atmospheric chemistry modeling system independent of meteorological and climate models.…”