Analysis of a Severe Dust Storm Event over China: Application of the WRF-Dust Model

Numerical and Synoptic Study of Emission, Transport and Identify Potential Sources of a Severe Dust Storm Over Middle East

One of the powerful tools in dust storms analysis that have recently found extensive application is atmospheric-chemistry numerical modeling. Spatial and temporal distribution of Middle Eastern dust for a severe dust event during 4-8 July 2009 was analyzed by Weather Research and Forecasting with Chemistry (WRF/Chem) model simulations and remote sensing observations. The HYSPLIT model is applie...

Monitoring of Dust Storm in the Midwest of Iran Case Study: Dust Storm June 16-19, 2015

This research was conducted to identify the dust storms in the Midwest of Iran from June 16 to 19, 2015. To investigate the synoptic conditions of the causes of this phenomenon, the ECMWF has an array of 0.125 degrees, including geopotential, omega, and sea level pressure, orbital and meridian components of the wind, specific humidity Soil moisture was applied to a depth of 10 cm. Similarly, fo...

Assimilating MODIS aerosol optical depth using WRF/Chem and GSI: Application to a Chinese dust storm

Assimilation of the Moderate Resolution Imaging Spectroradiometer (MODIS) total aerosol optical depth (AOD) retrieval products (at 550 nm wavelength) from both Terra and Aqua satellites have been developed within the National Centers for Environmental Prediction (NCEP) Gridpoint Statistical Interpolation (GSI) three-dimensional variational (3DVAR) data assimilation system. This newly developed ...

Dust storm simulation over Iran using HYSPLIT

Particulate matters have detrimental effects on human health, environment and economic. This pollutant may emit from anthropogenic or natural sources. On global scale, main proportion of natural particulate matter release to the atmosphere because of wind erosion from arid and semi-arid regions. Recently, the amount of dust coming from Arabian countries has dramatically increased, especially du...

A data assimilation method of the Ensemble Kalman Filter for use in severe dust storm forecasts over China