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Simulating the meteorology and PM
10
concentrations in Arizona dust storms using the Weather Research and Forecasting model with Chemistry (Wrf-Chem)
Peter Hyde,
Alex Mahalov
, Jialun Li
Engineering, Ira A. Fulton Schools of (IAFSE)
Mechanical and Aerospace Engineering
Mathematical and Statistical Sciences, School of (SoMSS)
Mathematical Computational Modeling Sciences Center, Simon A. Levin (MCMSC)
Sustainability Initiative
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Scopus citations
Overview
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Dive into the research topics of 'Simulating the meteorology and PM
10
concentrations in Arizona dust storms using the Weather Research and Forecasting model with Chemistry (Wrf-Chem)'. Together they form a unique fingerprint.
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Earth & Environmental Sciences
dust storm
68%
meteorology
57%
forecasting
45%
weather
40%
dust
17%
agricultural land
9%
fold
8%
health
8%
sea breeze
7%
flash flood
6%
land
6%
thunderstorm
6%
anthropogenic source
6%
surface wind
5%
simulation
5%
surface layer
5%
land surface
5%
farm
4%
remediation
4%
wind velocity
4%
water resource
4%
gulf
4%
speed
3%
policy
3%
climate
3%
particle
2%
river
2%
modeling
2%
comparison
2%
test
2%
Medicine & Life Sciences
Meteorology
100%
Weather
72%
Dust
63%
pinal
41%
Water Resources
11%
Stifle
9%
Rivers
7%
Oceans and Seas
7%
Climate
7%
Farms
7%
Health
6%
Air
5%
Guidelines
4%
Engineering & Materials Science
Meteorology
83%
Dust
59%
Thunderstorms
8%
Health
8%
Water resources
7%
Remediation
7%
Rivers
5%
Farms
5%
Air
3%
Chemical Compounds
Dust
64%
Chemistry
34%
Flood Reaction
10%
Simulation
9%
Remediation
7%
Surface
6%
Force
4%