TY  - JOUR
AU  - Sprigg, William A.
AU  - Nicković, Slobodan
AU  - Galgiani, John N.
AU  - Pejanović, Goran
AU  - Petković, Slavko
AU  - Vujadinović, Mirjam
AU  - Vuković, Ana
AU  - Dacić, Milan
AU  - DiBiase, Scott
AU  - Prasad, Anup
AU  - El-Askary, Hesham
PY  - 2014
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3460
AB  - On 5 July 2011, a massive dust storm struck Phoenix, Arizona (USA), raising concerns for increased cases of valley fever (coccidioidomycosis, or, cocci). A quasi-operational experimental airborne dust forecast system predicted the event and provides model output for continuing analysis in collaboration with public health and air quality communities. An objective of this collaboration was to see if a signal in cases of valley fever in the region could be detected and traced to the storm - an American haboob. To better understand the atmospheric life cycle of cocci spores, the DREAM dust model (also herein, NMME-DREAM) was modified to simulate spore emission, transport and deposition. Inexact knowledge of where cocci-causing fungus grows, the low resolution of cocci surveillance and an overall active period for significant dust events complicate analysis of the effect of the 5 July 2011 storm. In the larger context of monthly to annual disease surveillance, valley fever statistics, when compared against PM10 observation networks and modeled airborne dust concentrations, may reveal a likely cause and effect. Details provided by models and satellites fill time and space voids in conventional approaches to air quality and disease surveillance, leading to land-atmosphere modeling and remote sensing that clearly mark a path to advance valley fever epidemiology, surveillance and risk avoidance.
PB  - Elsevier Sci Ltd, Oxford
T2  - Aeolian Research
T1  - Regional dust storm modeling for health services: The case of valley fever
EP  - 73
SP  - 53
VL  - 14
DO  - 10.1016/j.aeolia.2014.03.001
ER  - 

@article{
author = "Sprigg, William A. and Nicković, Slobodan and Galgiani, John N. and Pejanović, Goran and Petković, Slavko and Vujadinović, Mirjam and Vuković, Ana and Dacić, Milan and DiBiase, Scott and Prasad, Anup and El-Askary, Hesham",
year = "2014",
abstract = "On 5 July 2011, a massive dust storm struck Phoenix, Arizona (USA), raising concerns for increased cases of valley fever (coccidioidomycosis, or, cocci). A quasi-operational experimental airborne dust forecast system predicted the event and provides model output for continuing analysis in collaboration with public health and air quality communities. An objective of this collaboration was to see if a signal in cases of valley fever in the region could be detected and traced to the storm - an American haboob. To better understand the atmospheric life cycle of cocci spores, the DREAM dust model (also herein, NMME-DREAM) was modified to simulate spore emission, transport and deposition. Inexact knowledge of where cocci-causing fungus grows, the low resolution of cocci surveillance and an overall active period for significant dust events complicate analysis of the effect of the 5 July 2011 storm. In the larger context of monthly to annual disease surveillance, valley fever statistics, when compared against PM10 observation networks and modeled airborne dust concentrations, may reveal a likely cause and effect. Details provided by models and satellites fill time and space voids in conventional approaches to air quality and disease surveillance, leading to land-atmosphere modeling and remote sensing that clearly mark a path to advance valley fever epidemiology, surveillance and risk avoidance.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Aeolian Research",
title = "Regional dust storm modeling for health services: The case of valley fever",
pages = "73-53",
volume = "14",
doi = "10.1016/j.aeolia.2014.03.001"
}

Sprigg, W. A., Nicković, S., Galgiani, J. N., Pejanović, G., Petković, S., Vujadinović, M., Vuković, A., Dacić, M., DiBiase, S., Prasad, A.,& El-Askary, H.. (2014). Regional dust storm modeling for health services: The case of valley fever. in Aeolian Research
Elsevier Sci Ltd, Oxford., 14, 53-73.
https://doi.org/10.1016/j.aeolia.2014.03.001

Sprigg WA, Nicković S, Galgiani JN, Pejanović G, Petković S, Vujadinović M, Vuković A, Dacić M, DiBiase S, Prasad A, El-Askary H. Regional dust storm modeling for health services: The case of valley fever. in Aeolian Research. 2014;14:53-73.
doi:10.1016/j.aeolia.2014.03.001 .

Sprigg, William A., Nicković, Slobodan, Galgiani, John N., Pejanović, Goran, Petković, Slavko, Vujadinović, Mirjam, Vuković, Ana, Dacić, Milan, DiBiase, Scott, Prasad, Anup, El-Askary, Hesham, "Regional dust storm modeling for health services: The case of valley fever" in Aeolian Research, 14 (2014):53-73,
https://doi.org/10.1016/j.aeolia.2014.03.001 . .

TY  - JOUR
AU  - Vuković, Ana
AU  - Vujadinović, Mirjam
AU  - Pejanović, Goran
AU  - Andrić, J.
AU  - Kumjian, M.R.
AU  - Djurdjević, V.
AU  - Dacić, M.
AU  - Prasad, A.K.
AU  - El-Askary, Hesham
AU  - Paris, B.C.
AU  - Petković, S.
AU  - Nicković, Slobodan
AU  - Sprigg, W.A.
PY  - 2014
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3538
AB  - A dust storm of fearful proportions hit Phoenix in the early evening hours of 5 July 2011. This storm, an American haboob, was predicted hours in advance because numerical, land-atmosphere modeling, computing power and remote sensing of dust events have improved greatly over the past decade. High-resolution numerical models are required for accurate simulation of the small scales of the haboob process, with high velocity surface winds produced by strong convection and severe downbursts. Dust productive areas in this region consist mainly of agricultural fields, with soil surfaces disturbed by plowing and tracks of land in the high Sonoran Desert laid barren by ongoing draught. Model simulation of the 5 July 2011 dust storm uses the coupled atmospheric-dust model NMME-DREAM (Non-hydrostatic Mesoscale Model on E grid, Janjic et al., 2001; Dust REgional Atmospheric Model, Nickovic et al., 2001; Perez et al., 2006) with 4 km horizontal resolution. A mask of the potentially dust productive regions is obtained from the land cover and the normalized difference vegetation index (NDVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS). The scope of this paper is validation of the dust model performance, and not use of the model as a tool to investigate mechanisms related to the storm. Results demonstrate the potential technical capacity and availability of the relevant data to build an operational system for dust storm forecasting as a part of a warning system. Model results are compared with radar and other satellite-based images and surface meteorological and PM10 observations. The atmospheric model successfully hindcasted the position of the front in space and time, with about 1 h late arrival in Phoenix. The dust model predicted the rapid uptake of dust and high values of dust concentration in the ensuing storm. South of Phoenix, over the closest source regions (similar to 25 km), the model PM10 surface dust concentration reached similar to 2500 mu g m(-3), but underestimated the values measured by the PM10 stations within the city. Model results are also validated by the MODIS aerosol optical depth (AOD), employing deep blue (DB) algorithms for aerosol loadings. Model validation included Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), equipped with the lidar instrument, to disclose the vertical structure of dust aerosols as well as aerosol subtypes. Promising results encourage further research and application of high-resolution modeling and satellite-based remote sensing to warn of approaching severe dust events and reduce risks for safety and health.
PB  - Copernicus Gesellschaft Mbh, Gottingen
T2  - Atmospheric Chemistry and Physics
T1  - Numerical simulation of "an American haboob"
EP  - 3230
IS  - 7
SP  - 3211
VL  - 14
DO  - 10.5194/acp-14-3211-2014
ER  - 

@article{
author = "Vuković, Ana and Vujadinović, Mirjam and Pejanović, Goran and Andrić, J. and Kumjian, M.R. and Djurdjević, V. and Dacić, M. and Prasad, A.K. and El-Askary, Hesham and Paris, B.C. and Petković, S. and Nicković, Slobodan and Sprigg, W.A.",
year = "2014",
abstract = "A dust storm of fearful proportions hit Phoenix in the early evening hours of 5 July 2011. This storm, an American haboob, was predicted hours in advance because numerical, land-atmosphere modeling, computing power and remote sensing of dust events have improved greatly over the past decade. High-resolution numerical models are required for accurate simulation of the small scales of the haboob process, with high velocity surface winds produced by strong convection and severe downbursts. Dust productive areas in this region consist mainly of agricultural fields, with soil surfaces disturbed by plowing and tracks of land in the high Sonoran Desert laid barren by ongoing draught. Model simulation of the 5 July 2011 dust storm uses the coupled atmospheric-dust model NMME-DREAM (Non-hydrostatic Mesoscale Model on E grid, Janjic et al., 2001; Dust REgional Atmospheric Model, Nickovic et al., 2001; Perez et al., 2006) with 4 km horizontal resolution. A mask of the potentially dust productive regions is obtained from the land cover and the normalized difference vegetation index (NDVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS). The scope of this paper is validation of the dust model performance, and not use of the model as a tool to investigate mechanisms related to the storm. Results demonstrate the potential technical capacity and availability of the relevant data to build an operational system for dust storm forecasting as a part of a warning system. Model results are compared with radar and other satellite-based images and surface meteorological and PM10 observations. The atmospheric model successfully hindcasted the position of the front in space and time, with about 1 h late arrival in Phoenix. The dust model predicted the rapid uptake of dust and high values of dust concentration in the ensuing storm. South of Phoenix, over the closest source regions (similar to 25 km), the model PM10 surface dust concentration reached similar to 2500 mu g m(-3), but underestimated the values measured by the PM10 stations within the city. Model results are also validated by the MODIS aerosol optical depth (AOD), employing deep blue (DB) algorithms for aerosol loadings. Model validation included Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), equipped with the lidar instrument, to disclose the vertical structure of dust aerosols as well as aerosol subtypes. Promising results encourage further research and application of high-resolution modeling and satellite-based remote sensing to warn of approaching severe dust events and reduce risks for safety and health.",
publisher = "Copernicus Gesellschaft Mbh, Gottingen",
journal = "Atmospheric Chemistry and Physics",
title = "Numerical simulation of "an American haboob"",
pages = "3230-3211",
number = "7",
volume = "14",
doi = "10.5194/acp-14-3211-2014"
}

Vuković, A., Vujadinović, M., Pejanović, G., Andrić, J., Kumjian, M.R., Djurdjević, V., Dacić, M., Prasad, A.K., El-Askary, H., Paris, B.C., Petković, S., Nicković, S.,& Sprigg, W.A.. (2014). Numerical simulation of "an American haboob". in Atmospheric Chemistry and Physics
Copernicus Gesellschaft Mbh, Gottingen., 14(7), 3211-3230.
https://doi.org/10.5194/acp-14-3211-2014

Vuković A, Vujadinović M, Pejanović G, Andrić J, Kumjian M, Djurdjević V, Dacić M, Prasad A, El-Askary H, Paris B, Petković S, Nicković S, Sprigg W. Numerical simulation of "an American haboob". in Atmospheric Chemistry and Physics. 2014;14(7):3211-3230.
doi:10.5194/acp-14-3211-2014 .

Vuković, Ana, Vujadinović, Mirjam, Pejanović, Goran, Andrić, J., Kumjian, M.R., Djurdjević, V., Dacić, M., Prasad, A.K., El-Askary, Hesham, Paris, B.C., Petković, S., Nicković, Slobodan, Sprigg, W.A., "Numerical simulation of "an American haboob"" in Atmospheric Chemistry and Physics, 14, no. 7 (2014):3211-3230,
https://doi.org/10.5194/acp-14-3211-2014 . .