Articles | Volume 15, issue 21
https://doi.org/10.5194/acp-15-12595-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-12595-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Nov 2015
Research article |
| 12 Nov 2015
Toward enhanced capability for detecting and predicting dust events in the western United States: the Arizona case study
NOAA/OAR/ARL, NOAA Center for Weather and Climate Prediction, College Park, MD 20740, USA
Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA
NOAA/OAR/ARL, NOAA Center for Weather and Climate Prediction, College Park, MD 20740, USA
Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD 20740, USA
P. Lee
NOAA/OAR/ARL, NOAA Center for Weather and Climate Prediction, College Park, MD 20740, USA
NOAA/OAR/ARL, NOAA Center for Weather and Climate Prediction, College Park, MD 20740, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD 20740, USA
NOAA/OAR/ARL, NOAA Center for Weather and Climate Prediction, College Park, MD 20740, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD 20740, USA
I. Stajner
NOAA/NWS/STI, Silver Spring, MD 20910, USA
R. B. Pierce
NOAA/NESDIS, Madison, WI 53706, USA
J. McQueen
NOAA/NWS/NCEP/EMC, NOAA Center for Weather and Climate Prediction, College Park, MD 20740, USA
J. Wang
NOAA/OAR/ARL, NOAA Center for Weather and Climate Prediction, College Park, MD 20740, USA
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Cited
12 citations as recorded by crossref.
- Wind-Blown Dust Modeling Using a Backward-Lagrangian Particle Dispersion Model D. Mallia et al. 10.1175/JAMC-D-16-0351.1
- Implications of a shrinking Great Salt Lake for dust on snow deposition in the Wasatch Mountains, UT, as informed by a source to sink case study from the 13–14 April 2017 dust event S. Skiles et al. 10.1088/1748-9326/aaefd8
- Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 P. Campbell et al. 10.5194/gmd-15-3281-2022
- Evaluation of the NAQFC driven by the NOAA Global Forecast System (version 16): comparison with the WRF-CMAQ during the summer 2019 FIREX-AQ campaign Y. Tang et al. 10.5194/gmd-15-7977-2022
- Spatial and seasonal variability in fine mineral dust and coarse aerosol mass at remote sites across the United States J. Hand et al. 10.1002/2016JD026290
- Concentrations of mineral aerosol from desert to plains across the central Rocky Mountains, western United States R. Reynolds et al. 10.1016/j.aeolia.2016.09.001
- Improved Dust Emission Reduction Factor in the ADAM2 Model Using Real-Time MODIS NDVI S. Lee et al. 10.3390/atmos10110702
- Decreasing Aerosol Loading in the North American Monsoon Region A. Raman et al. 10.3390/atmos7020024
- Quantifying the impact of cropland wind erosion on air quality: A high-resolution modeling case study of an Arizona dust storm J. Joshi 10.1016/j.atmosenv.2021.118658
- A descriptive study of dust storms and air quality in a semi-arid region of Mexico M. de Jesús Guevara-Macías et al. 10.1007/s11869-023-01365-6
- Simulating the meteorology and PM10 concentrations in Arizona dust storms using the Weather Research and Forecasting model with Chemistry (Wrf-Chem) P. Hyde et al. 10.1080/10962247.2017.1357662
- Modeling Regional Pollution Transport Events During KORUS‐AQ: Progress and Challenges in Improving Representation of Land‐Atmosphere Feedbacks M. Huang et al. 10.1029/2018JD028554
12 citations as recorded by crossref.
- Wind-Blown Dust Modeling Using a Backward-Lagrangian Particle Dispersion Model D. Mallia et al. 10.1175/JAMC-D-16-0351.1
- Implications of a shrinking Great Salt Lake for dust on snow deposition in the Wasatch Mountains, UT, as informed by a source to sink case study from the 13–14 April 2017 dust event S. Skiles et al. 10.1088/1748-9326/aaefd8
- Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 P. Campbell et al. 10.5194/gmd-15-3281-2022
- Evaluation of the NAQFC driven by the NOAA Global Forecast System (version 16): comparison with the WRF-CMAQ during the summer 2019 FIREX-AQ campaign Y. Tang et al. 10.5194/gmd-15-7977-2022
- Spatial and seasonal variability in fine mineral dust and coarse aerosol mass at remote sites across the United States J. Hand et al. 10.1002/2016JD026290
- Concentrations of mineral aerosol from desert to plains across the central Rocky Mountains, western United States R. Reynolds et al. 10.1016/j.aeolia.2016.09.001
- Improved Dust Emission Reduction Factor in the ADAM2 Model Using Real-Time MODIS NDVI S. Lee et al. 10.3390/atmos10110702
- Decreasing Aerosol Loading in the North American Monsoon Region A. Raman et al. 10.3390/atmos7020024
- Quantifying the impact of cropland wind erosion on air quality: A high-resolution modeling case study of an Arizona dust storm J. Joshi 10.1016/j.atmosenv.2021.118658
- A descriptive study of dust storms and air quality in a semi-arid region of Mexico M. de Jesús Guevara-Macías et al. 10.1007/s11869-023-01365-6
- Simulating the meteorology and PM10 concentrations in Arizona dust storms using the Weather Research and Forecasting model with Chemistry (Wrf-Chem) P. Hyde et al. 10.1080/10962247.2017.1357662
- Modeling Regional Pollution Transport Events During KORUS‐AQ: Progress and Challenges in Improving Representation of Land‐Atmosphere Feedbacks M. Huang et al. 10.1029/2018JD028554
Saved (final revised paper)
Saved (preprint)
Latest update: 20 Apr 2024
Short summary
We developed Arizona dust records in 2005-2013 using multiple surface and remote sensing observation data sets. The inter-annual variability of dust events was anticorrelated with three drought indicators (PDSI, satellite NDVI and soil moisture), and stronger dust activity was found in the afternoon than in the morning due to stronger winds and drier soil. Impact of a recent dust event accompanied by a stratospheric ozone intrusion was evaluated with various observational and modeling data sets.
We developed Arizona dust records in 2005-2013 using multiple surface and remote sensing...
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