Source characteristics of hazardous Chihuahuan Desert dust outbreaks

Rivera, N. I. Rivera; Gill, Thomas E.; Bleiweiss, Max P.; Hand, Jenny L.

doi:10.1016/j.atmosenv.2010.03.019

Cited by 77 publications

(59 citation statements)

References 55 publications

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“…In this approach, the use of satellite data is limited to selecting independently identified dust events for the purpose of methodological training. There are other approaches that rely predominantly on remote sensing data to pin-point dust events (Prospero et al, 2002;Lee et al, 2009;Rivera-Rivera et al, 2010). Our study proposes an alternative way to pinpoint dust events that can work complimentarily with these satellite-based methods to identify dust events.…”

Section: Discussionmentioning

confidence: 99%

“…With the rapid expansion of remote sensing data, several studies have attempted to detect dust outbreaks using satellite images and other derived products (Kauffman et al, 2000;Prospero et al, 2002;Rivera-Rivera et al, 2010;Lee et al, 2009). The pioneer works by Prospero and colleagues have associated dust sources with barren areas with "depressed" elevations relative to their surroundings (Ginoux et al, 2001) based on satellite-based global observations from the NIM-BUS 7 Total Ozone Mapping Spectrometer (TOMS) (Prospero et al, 2002).…”

Section: Q Tong Et Al: Long-term Dust Climatology In the Western Usmentioning

confidence: 99%

“…In Asia, an operational dust retrieval algorithm has been developed based on the FY-2C/SVISSR through combining visible and water vapor bands observations of the geostationary imager to distinguish dust plumes from surface objects and clouds (Hu et al, 2008). In the United States, data from both polarorbiting and geostationary satellites have been used to characterize source areas of large dust outbreaks (Lee et al, 2009;Rivera-Rivera et al, 2010). It should be mentioned that all of these dust source identification methods are based on satellite remote sensing that needs to be independently verified using ground observations.…”

Section: Q Tong Et Al: Long-term Dust Climatology In the Western Usmentioning

confidence: 99%

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Long-term dust climatology in the western United States reconstructed from routine aerosol ground monitoring

Tong

Wang

et al. 2012

Atmos. Chem. Phys.

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Abstract. This study introduces an observation-based dust identification approach and applies it to reconstruct longterm dust climatology in the western United States. Longterm dust climatology is important for quantifying the effects of atmospheric aerosols on regional and global climate. Although many routine aerosol monitoring networks exist, it is often difficult to obtain dust records from these networks, because these monitors are either deployed far away from dust active regions (most likely collocated with dense population) or contaminated by anthropogenic sources and other natural sources, such as wildfires and vegetation detritus. Here we propose an approach to identify local dust events relying solely on aerosol mass and composition from general-purpose aerosol measurements. Through analyzing the chemical and physical characteristics of aerosol observations during satellite-detected dust episodes, we select five indicators to be used to identify local dust records: (1) high PM 10 concentrations; (2) low PM 2.5 /PM 10 ratio; (3) higher concentrations and percentage of crustal elements; (4) lower percentage of anthropogenic pollutants; and (5) low enrichment factors of anthropogenic elements. After establishing these identification criteria, we conduct hierarchical cluster analysis for all validated aerosol measurement data over 68 IMPROVE sites in the western United States. A total of 182 local dust events were identified over 30 of the 68 locations from 2000 to 2007. These locations are either close to the four US Deserts, namely the Great Basin Desert, the Mojave Desert, the Sonoran Desert, and the Chihuahuan Desert, or in the high wind power region (Colorado). During the eight-year study period, the total number of dust events displays an interesting four-year activity cycle (one in 2000- The monthly frequency of dust events shows a peak from March to July and a second peak in autumn from September to November. The large quantity of dust events occurring in summertime also suggests the prevailing impact of windblown dust across the year. This seasonal variation is consistent with previous model simulations over the United States.

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Section: Discussionmentioning

confidence: 99%

Section: Q Tong Et Al: Long-term Dust Climatology In the Western Usmentioning

confidence: 99%

Section: Q Tong Et Al: Long-term Dust Climatology In the Western Usmentioning

confidence: 99%

See 1 more Smart Citation

Long-term dust climatology in the western United States reconstructed from routine aerosol ground monitoring

Tong

Wang

et al. 2012

Atmos. Chem. Phys.

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“…To illustrate this, a dataset of dust source points identified using an established remote sensing technique (e.g. Bullard et al, 2008;Rivera Rivera et al, 2010) for 26 dust events between 2001 and 2009 was overlain on the map (Figure 2) and is summarized in Table 1. Although ephemeral and dry lakes cover only a small proportion of the region (<4%) they account for nearly half (48%) of the dust plumes.…”

Section: Comparison With Point Sources Of Dust Emissionmentioning

confidence: 99%

“…Percentage of dust sources per geomorphic class using the source point data in Figure 2 is shown in the grey column. Rivera et al, 2010). El Paso, Texas / Ciudad Juarez, Chihuahua, the largest metropolitan area within the desert, experiences approximately 15 dusty days per year (with visibility <10 km) (Novlan et al, 2007).…”

Section: Introduction and Rationalementioning

confidence: 99%

Geomorphology of the Chihuahuan Desert based on potential dust emissions

et al. 2011

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The Chihuahuan Desert of central northern Mexico and southern Arizona, New Mexico and Texas, USA, is a regionally significant dust 'hot-spot' in North America. Typical of other such hot-spots, this desert consists of a mosaic of geomorphological settings, each of which has a varying propensity for dust emission. Recently, a classification system of dust emission potential based on surface geomorphic characteristics that establishes a common framework for describing the land surface has been proposed. The classification is readily applicable to different dust source regions and designed to facilitate comparison of the relative potential dust contributions and emissivity of varying geomorphological environments in such regions.The map here (1:3,500,000) was compiled by applying the new classification to a base map of polygons from existing soil and landform maps that were produced by national government agencies. Within the study area, 11 of the 17 possible geomorphic classes were present, the most extensive being unarmoured, unincised high relief alluvial surfaces, which covered 43% of the area.As an example of how empirical dust source point data can be used with the classification, the satelliteobserved origins of dust plumes for 26 major wind erosion events from 2001 to 2009 were overlain on the map. Despite a total area of only 4%, ephemeral lakes were the source of 48% of the observed plumes. This map and the relationships derived from it provide the basis for developing equivalent maps in other dusty regions, and mark a step toward improving the representation and documentation of the strength of dust sources in numerical mineral aerosol models.

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Do MODIS‐defined dust sources have a geomorphological signature?

Baddock

Ginoux

Bullard

et al. 2016

Geophysical Research Letters

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The preferential dust source (PDS) scheme enables large‐scale mapping of geomorphology in terms of importance for dust emissions but has not been independently tested other than at local scales. We examine the PDS qualitative conceptual model of surface emissivity alongside a quantitative measurement of dust loading from Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue Collection 6 for the Chihuahuan Desert. The predicted ranked importance of each geomorphic type for dust emissions is compared with the actual ranked importance as determined from the satellite‐derived dust loading. For this region, the predicted variability and magnitude of dust emissions from most surface types present coincides with the observed characteristics demonstrating the significance of geomorphological controls on emission. The exception is for areas of low magnitude but persistent emissions such as alluvial surfaces where PDS overpredicts dustiness. As PDS is a good predictor of emissions and incorporates surface dynamics it could improve models of future dust emissions.

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Source characteristics of hazardous Chihuahuan Desert dust outbreaks

Cited by 77 publications

References 55 publications

Long-term dust climatology in the western United States reconstructed from routine aerosol ground monitoring

Long-term dust climatology in the western United States reconstructed from routine aerosol ground monitoring

Geomorphology of the Chihuahuan Desert based on potential dust emissions

Do MODIS‐defined dust sources have a geomorphological signature?

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