Image reconstruction
; NASA
; Radiometers
; Satellite imagery
; Storms
; Weather forecasting
; Dust sources
; Dust storm
; GOCART
; Moderate resolution imaging spectroradiometer
; Normalized difference vegetation index datum
; NU-WRF
; Source identification
; Weather research and forecasting
; Dust
; atmospheric modeling
; dust
; dust storm
; MODIS
; NDVI
; regional pattern
; resolution
; satellite data
; source identification
; topography
; Article
; dust
; dust and dust related phenomena
; dust storm
; dynamic dust source
; environmental parameters
; Goddard Chemistry Aerosol Radiation and Transport model
; NASA Unified Research and Forecast model
; Normalized Difference Vegetation Index
; priority journal
; simulation
; surface property
; topography
; United States
; Arizona
; Phoenix
; United States
Scopus学科分类:
Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要:
A high-resolution dynamic dust source has been developed in the NASA Unified-Weather Research and Forecasting (NU-WRF) model to improve the existing coarse static dust source. In the new dust source map, topographic depression is in 1-km resolution and surface bareness is derived using the Normalized Difference Vegetation Index (NDVI) data from Moderate Resolution Imaging Spectroradiometer (MODIS). The new dust source better resolves the complex topographic distribution over the Western United States where its magnitude is higher than the existing, coarser resolution static source. A case study is conducted with an extreme dust storm that occurred in Phoenix, Arizona in 02–03 UTC July 6, 2011. The NU-WRF model with the new high-resolution dynamic dust source is able to successfully capture the dust storm, which was not achieved with the old source identification. However the case study also reveals several challenges in reproducing the time evolution of the short-lived, extreme dust storm events. � 2017 Elsevier Ltd
USRA at GSFC, Code 614, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Code 614, NASA Goddard Space Flight Center, Greenbelt, MD, United States; SSAI at GSFC, Code 606.0, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Code 610, NASA Goddard Space Flight Center, Greenbelt, MD, United States; NOAA, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
Recommended Citation:
Kim D,, Chin M,, Kemp E,et al. Development of high-resolution dynamic dust source function - A case study with a strong dust storm in a regional model[J]. Atmospheric Environment,2017-01-01,159