Dust Outbreaks Research Articles

Large scale upper-level precursors for dust storm formation over North Africa and poleward transport to the Iberian Peninsula. Part I: An observational analysis

Abstract The analysis of three extreme African dust outbreaks over the Iberian Peninsula (IP) shows that a double Rossby wave breaking (RWB) process in the polar jet (PJ) creates the conditions for dust storm formation over subtropical deserts in North Africa and the restructuring of upper-level air flows critical for the dust transport poleward after ablation. Two consecutive anticyclonic RWBs initiate over the IP and the adjacent Atlantic, the first commencing 10 days before dust reaches the IP and the second three to five days later. The first RWB becomes quasi-stationary over the eastern Mediterranean when the second RWB develops. In turn, the first RWB blocks downstream propagation of the second, which is amplified by energy reflection poleward from the first break causing vortex intensification and equatorward propagation over the Atlas as well as a strengthening and coupling of the subtropical jet (STJ) to circulations in the ITCZ. Zonal flows are blocked and sustained low-level northeasterlies/easterlies are induced across northwest Africa. The three events present substantial differences in the location and geometry of key upper- and low-level subsynoptic features that organize the dust storms over the Sahara following the second break. Dust lifted by either the cold outflow from convective downdrafts or by orographic gravity waves interacts with terrain-induced and larger scale circulations and is transported to the IP. The location of the cyclonic large scale signal from the second RWB to the west or over the Atlas and the blocking of zonal flows are key for the poleward dust transport.

Impact of Saharan dust exposure on airway inflammation in patients with ischemic heart disease

Epidemiological studies found that increases in the concentrations of airborne particulate matter (PM) smaller than 10 microns diameter (PM10) in the ambient air due to desert dust outbreaks contribute to global burden of diseases, primarily as a result of increased risk of cardiovascular morbidity and mortality. No studies have investigated the possible association between desert dust inhalation and airway inflammation in patients with ischemic heart disease (IHD). Induced sputum was collected in 38 patients and analyzed to determine markers of airway inflammation (Transforming Growth Factor-β1 [TGF-β1] and hydroxyproline) concentrations. For the purpose of the investigation, PM10 and reactive gases concentrations measured in the European Air Quality Network implemented in the Canary Islands were also used. We identified Saharan desert dust using meteorology and dust models. Patients affected by smoking, chronic obstructive pulmonary disease (COPD), asthma, pulmonary abnormalities, acute bronchial or pulmonary disease were excluded. The median of age of patients was 64.71 years (56.35-71.54) and 14 (38.84%) of them were women. TGF-β1 and hydroxyproline in sputum were highly associated to PM10 inhalation from the Saharan desert. According to a regression model, an increase of 1 µg/m3 of PM10 concentrations due to desert dust, results in an increase of 3.84 pg/gwt of TGF-β1 (R2 adjusted = 89.69%) and of 0.80 μg/gwt of hydroxyproline (R2 adjusted = 85.28%) in the sputum of patients. The results of this study indicate that the exposure to high PM10 concentrations due to Saharan dust events are associated with intense inflammatory reaction in the airway mucosae of IHD-patients.

Chemical composition of rainwater under two events of aerosol transport: A Saharan dust outbreak and wildfires

A one-year campaign of joint sampling of aerosols and precipitation, carried out in León, Spain, allowed to study the impact of two special events that affected the air quality in the north of the country, on rainfall in the city: a period with wildfires and a Saharan dust intrusion. The wildfires that occurred in northern Portugal and northwestern Spain in August 2016 affected the chemistry of rainfall on 15 August 2016, causing an increase in concentrations of NH4+, Na+, Cl−, K+, Mg2+, Ca2+, SO42− and NO3− and in the concentrations of organic acids, which was reflected in the levels of soluble and insoluble organic carbon. This led to acidification of rainwater (pH = 4.8). The second precipitation event was registered between 11 and 14 February 2017, during which the rainwater was collected in four daily fractions (P1, P2, P3 and P4). The rain sample of 12 February (P2) coincided with a Saharan dust intrusion that reached northern Iberia that day. The chemical composition of P2 showed an increase in the Ca2+ (>800%), Mg2+ (71%), Cl− (62%), and SO42− (33%) concentrations, with respect to P1. The input of crustal elements to the atmosphere helped to neutralize the P2 rainwater, causing pH values higher than 6.5. Once the dust intrusion left the north of the Peninsula, the composition of rainwater P3 and P4 revealed a mixture of marine contribution with local anthropogenic emissions, as well as a decrease in ion concentrations and conductivity, and an increase in pH values.

Five Years of Dust Episodes at the Southern Italy GAW Regional Coastal Mediterranean Observatory: Multisensors and Modeling Analysis

The Mediterranean area is a climate-change hotspot because of the natural and anthropogenic pollution pressure. The presence of natural aerosols, such as dust, influences solar radiation and contributes to the detection, in storm episodes, of significant concentrations of PM10 in Southern Italy, where generally fresh and clean air is due to local circulation, and particulate matter concentrations are very low. We present the results of medium-term observations (2015–2019) at Lamezia Terme GAW (Global Atmospheric Watch) Regional Observatory, with the purpose of identifying the dust incursion events by studying the aerosol properties in the site. To achieve this goal, the experimental data, collected by several instruments, have been also correlated with the large-scale atmospheric patterns derived by the ERA5 reanalysis dataset, in order to study the meteorological conditions that strongly influence dust outbreaks and their spatio-temporal behavior. An intense dust-outbreak episode, which occurred on 23–27 April 2019, was chosen as a case study; a detailed analysis was carried out considering surface and column optical properties, chemical properties, large-scale pattern circulation, air-quality modeling/satellite products, and back-trajectory analysis, to confirm the capability of the modeled large-scale atmospheric fields to correctly simulate the conditions mainly related to the desert dust-outbreak events.

Multi-Sensor Observation of a Saharan Dust Outbreak over Transylvania, Romania in April 2019

Mineral aerosols are considered to be the second largest source of natural aerosol, the Saharan desert being the main source of dust at global scale. Under certain meteorological conditions, Saharan dust can be transported over large parts of Europe, including Romania. The aim of this paper is to provide a complex analysis of a Saharan dust outbreak over the Transylvania region of Romania, based on the synergy of multiple ground-based and satellite sensors in order to detect the dust intrusion with a higher degree of certainty. The measurements were performed during the peak of the outbreak on April the 24th 2019, with instruments such as a Cimel sun-photometer and a multi-wavelength Raman depolarization lidar, together with an in-situ particle counter measuring at ground level. Remote sensing data from MODIS sensors on Terra and Aqua were also analyzed. Results show the presence of dust aerosol layers identified by the multi-wavelength Raman and depolarization lidar at altitudes of 2500–4000 m, and 7000 m, respectively. The measured optical and microphysical properties, together with the HYSPLIT back-trajectories, NMMB/BSC dust model, and synoptic analysis, confirm the presence of lofted Saharan dust layers over Cluj-Napoca, Romania. The NMMB/BSC dust model predicted dust load values between 1 and 1.5 g/m2 over Cluj-Napoca at 12:00 UTC for April the 24th 2019. Collocated in-situ PM monitoring showed that dry deposition was low, with PM10 and PM2.5 concentrations similar to the seasonal averages for Cluj-Napoca.

The statistical behavior of PM10 events over guadeloupean archipelago: Stationarity, modelling and extreme events

Environmental pollution management is one of the most important features in pollution risk assessment. Several studies have shown that exposure to particulate matter with an aerodynamic diameter of 10 μm or less, i.e. PM10, were associated to adverse health effects. To our knowledge, no study has yet investigated the modelling of PM10 frequency distribution and extreme events in the Caribbean basin. Here, the descriptive statistics and four theoretical distributions (lognormal, Weibull, Burr and stable) were used to fit the parent distribution of PM10 daily average concentrations in Guadeloupe archipelago with a database of 11 years. In order to determine the best distribution, the Kolmogorov–Smirnov statistic test (KS test) was computed as performance indicator value. With an annual average of 26.4 ± 16.1 μg/m3, the descriptive statistics highlighted that PM10 concentrations in Guadeloupe are lower than those measured in cities of Europe, Asia or Africa. Contrary to other megacities, we found that high PM10 levels in Guadeloupe are mainly due to natural large-scale sources, i.e. African dust. From May to September, i.e. high dust season, PM10 concentrations are 1.5 times larger since dust outbreaks are more frequent. A statistical stationarity threshold of 66 months is estimated using the distribution analysis. This underlines the cycle stability of African dust over this last decade. Concerning the statistical modelling, our results showed that Burr & Weibull mixture model is the best distribution to represent PM10 daily average concentrations with a first statistical behavior corresponding to the low dust season and an another to the high dust season. By analysing the extreme events statistic with the classical power-law distribution, we observed that Burr & Weibull mixture model could also improve the modelling of these events. In summary, the Burr & Weibull mixture model is suitable to model both classical and extreme events.

A preliminary assessment of mineral dust outbreaks in Italian coastal cities

A preliminary assessment of mineral dust outbreaks in Italian coastal cities

Aerosol classification in Europe, Middle East, North Africa and Arabian Peninsula based on AERONET Version 3

Abstract The aerosol optical properties from Version 3 (V3) of AERONET are used to classify the aerosol types in Europe, Middle East/North Africa (MENA) and Arabian Peninsula, during 2008–2017. Quality-assured data of Single Scattering Albedo (SSA), Fine Mode Fraction (FMF) and Angstrom Exponent (AE) from 39 stations are used to classify the aerosol types, based on threshold limits of these optical properties. The aerosol type depends on the location and the sources of each region of study; for example, in Atlantic, Arabian Peninsula and MENA, the dominant aerosol type is coarse absorbing due to dust from Sahara and Arabian deserts. However, in Arabian Peninsula, fine particles are also observed in autumn and winter. In addition, the lower percentages of coarse absorbing particles across MENA are observed in the East because of increased fine particle emissions from human activities. In the stations of the Group A of South Europe, a bimodal size distribution is revealed and the dominant aerosol types are the fine-slightly absorbing and non-absorbing, followed by coarse absorbing due to Sahara dust outbreaks. In the stations of the Group B of South Europe, fine slightly absorbing and non-absorbing particles are primarily observed since the stations are located in urban/industrial regions. In Central and East Europe, the prevailing aerosol type is fine-non absorbing which is followed by the fine slightly absorbing aerosols from urban/industrial sites. The results of the aerosol type characterization are presumed to give a better assessment of regional climate and local air pollution. The proposed method could be used to compare aerosol classification results from satellite and chemical transport models, as well as for the validation of satellite data and the improved performance of models and remote sensing algorithms in the future.

Saharan Dust Events in the Dust Belt -Canary Islands- and the Observed Association with in-Hospital Mortality of Patients with Heart Failure

Recent studies have found increases in the cardiovascular mortality rates during poor air quality events due to outbreaks of desert dust. In Tenerife, we collected (2014–2017) data in 829 patients admitted with a heart failure diagnosis in the Emergency Department of the University Hospital of the Canaries. In this region, concentrations of PM10 and PM2.5 are usually low (~20 and 10 µg/m3), but they increase to 360 and 115 μg/m3, respectively, during Saharan dust events. By using statistical tools (including multivariable logistic regressions), we compared in-hospital mortality of patients with heart failure and exposure to PM10 and PM2.5 during dust and no-dust events. We found that 86% of in-hospital heart failure mortality cases occurred during Saharan dust episodes that resulted in PM10 > 50 µg/m3 (interquartile range: 71–96 µg/m3). A multivariate analysis showed that, after adjusting for other covariates, exposure to Saharan dust events associated with PM10 > 50 µg/m3 was an independent predictor of heart failure in-hospital mortality (OR = 2.79, 95% CI (1.066–7.332), p = 0.03). In conclusion, this study demonstrates that exposure to high Saharan dust concentrations is independently associated with in-hospital mortality in patients with heart failure.

Asian dust observed during KORUS-AQ facilitates the uptake and incorporation of soluble pollutants during transport to South Korea

The air quality of South Korea was the focus of the NASA/NIER KORean -United States Air Quality (KORUS-AQ) mission of 2016. KORUS-AQ was planned for the period after the spring peak in outbreaks of Asian dust. Regardless of this strategic planning, quantifiable dust was still observed via instrumentation on the NASA DC-8 in early May. A novel analysis of supermicron dust and associated supermicron ionic relationships was completed using two size dependent instruments. This supermicron dust provided surface area for heterogeneous chemistry between CaCO3, the gases HNO3, NO2, and SO2, and particulate (NH4)2SO4. Uptake of the pollutant gases is greatly enhanced by formation of an aqueous layer on the surface of the dust particles. More water is attracted to particles where uptake of HNO3 has replaced surface CaCO3 with Ca(NO3)2 generating a dynamic aqueous layer on the dust particle. We propose that particulate (NH4)2SO4 coagulated with dust to form (NH4)2Ca(SO4)2 on the particle surface, which rapidly formed CaSO4 and NH4+ in a Ca(NO3)2 facilitated aqueous layer. A conceptual model is proposed to explain these dust uptake chemical processes. We define the nanoequivalent concentration of supermicron SO42− plus NO3− over the nanoequivalent concentration of supermicron NH4+ plus Ca2+ as the Dust Pollution Index (DPI), used to quantify the extent to which carbonate dust has been modified. DPI values range from 0 (pure dust) to 1 (completely reacted); thus, it represents the conversion of CaCO3 into secondary salts. This mechanism should be used to better predict chemical dynamics in atmospheric models while also helping to further explain the importance of dust and secondary coating on cloud formation processes and dust optical properties. Air masses containing dust that traversed industrial China while mixing with polluted southern air had significantly higher DPI values (average = 0.82, 1σ = 0.10) compared to air masses that limited interaction with such pollution (average = 0.51, 1σ = 0.13).

Comparison of Methodologies for Assessing Desert Dust Contribution to Regional PM10 and PM2.5 Levels: A One-Year Study Over Portugal

Desert dust outbreaks may affect air quality. This study estimates the importance of African dust contribution to the PM10 and PM2.5 concentrations observed in rural regional background sites in Portugal. Desert dust contribution is evaluated by two different approaches: A measurement-approach methodology based on the monthly moving 40th percentile, and a model-approach methodology based on WRF-CHIMERE simulations, whose performance is also assessed within this work. Several desert dust episodes affected atmospheric aerosols in the planetary boundary layer over Portugal during 2016. Their intensity was variable, with at least two events (21–22 February and 27–28 October) contributing to exceedances to the PM10 daily limit value defined in the European Air Quality Directive. African dust contributions obtained for the year 2016 with the measurement-approach methodology are higher than the ones simulated by WRF-CHIMERE. Contributions to PM10 and to PM2.5 concentrations range from 0 to 90 µg m−3 and from 0 to 30 µg m−3, respectively, in most of the regions and days. Caution must be employed when using measurement-approach methodologies to quantify dust contributions to PM levels when forest fires occur simultaneously with the long-range transport of desert dust, as happened in August 2016.

Temporal variation of dust aerosol pollution in northern China

By employing the sandstorm dataset from meteorological station observations, the temporal and spatial variations in dust outbreak duration in the source regions and visibility variations over the downwind regions of northern China were analyzed over the past four decades. The statistics and wind field analyses reveal that after the early 2000s, the duration of dust outbreaks over the potential source areas of northern China had decreased by 63% compared with that in the 1970s, which suggests that the dust aerosol emission intensities in the region were significantly reduced. However, although the potential dust aerosol emission intensities were significantly reduced, the visibility during dust aerosol emission periods increased by only 25%. The emerging potential source areas in the eastern regions, variations in the wind field, increases in up-air winds, and decreases in surface winds all contribute to the observed continued high dust aerosol pollution in northern China since the early 2000s.

Particulate Matter Concentrations in a Middle Eastern City – An Insight to Sand and Dust Storm Episodes

In this study, the particulate matter mass (PM10 and PM2.5) concentrations we measured during May 2018–March 2019 in an urban atmosphere of Amman, Jordan. The results showed that the annual mean PM10 concentration was 64 ± 39 µg m–3 and the PM2.5/PM10 ratio was 0.8 ± 0.2. According to the Jordanian Air Quality standards (JS-1140/2006), the observed PM10 annual mean value was below the limit value but that of the PM2.5 was three times higher than the corresponding limit value. However, both exceeded the World Health Organization (WHO) air quality guideline values. In a larger perspective, the annual mean PM10 concentrations in Jordan were lower than what was reported in other cities in the Middle East but were higher when compared to other Mediterranean cities. During the measurement period, Jordan was affected by Sand and Dust Storm (SDS) episodes on 14 days. The source origins of these dust outbreaks were traced back to North Africa, the Arabian Peninsula, and the Levant. The 24-hour PM10 concentrations during these SDS episodes ranged between 108 and 188 µg m–3, which was about 3–6 times higher than the mean values during clean conditions (~33 µg m–3).

Impacts of Desert Dust Outbreaks on Air Quality in Urban Areas

Air pollution has many adverse effects on health and is associated with an increased risk of mortality. Desert dust outbreaks contribute directly to air pollution by increasing particulate matter concentrations. We investigated the influence of desert dust outbreaks on air quality in Santa Cruz de Tenerife, a city located in the dust export pathway off the west coast of North Africa, using air-quality observations from a six-year period (2012–2017). During winter intense dust outbreaks PM 10 mean (24-h) concentrations increased from 14 μ g m − 3 to 98 μ g m − 3 , on average, and PM 2 . 5 mean (24-h) concentrations increased from 6 μ g m − 3 to 32 μ g m − 3 . Increases were less during summer outbreaks, with a tripling of PM 10 and PM 2 . 5 daily mean concentrations. We found that desert dust outbreaks reduced the height of the marine boundary layer in our study area by >45%, on average, in summer and by ∼25%, on average, in winter. This thinning of the marine boundary layer was associated with an increase of local anthropogenic pollution during dust outbreaks. NO 2 and NO mean concentrations more than doubled and even larger relative increases in black carbon were observed during the more intense summer dust outbreaks; increases also occurred during the winter outbreaks but were less than in summer. This has public health implications; local anthropogenic emissions need to be reduced even further in areas that are impacted by desert dust outbreaks to reduce adverse health effects.

PM events and changes in the chemical composition of urban aerosols: A case study in the western Mediterranean.

More than 400 PM1 and 400 PM10 daily samples were collected in the urban center of Elche (close to the Spanish Mediterranean coast) from February 2015 to February 2018. Samples were analyzed to determine the concentrations of major and trace components with the aim of evaluating the influence of specific pollution events on the chemical composition of both PM fractions. The concentrations of crustal elements in PM10 significantly increased during Saharan dust outbreaks, particularly titanium, which has been identified as a good tracer of these events in the study area. Sulfate and nitrate levels were also enhanced due to secondary aerosol formation on mineral dust particles. Local pollution episodes had a great impact on submicron nitrate, whose mean concentration was more than four times higher than on non-event days. The chemical mass closure method was used to reconstruct PM1 and PM10 concentrations. Reasonably good correlations between measured and reconstructed concentrations were obtained, except for PM10 samples collected during Saharan dust events. This was due to the underestimation of the dust contribution during these episodes. Moderate differences in the average chemical composition of PM10 were observed between event and non-event days. Regarding PM1, only local pollution episodes had a certain impact on its chemical composition.

Long-Term Aerosol Trends and Variability over Central Saudi Arabia Using Optical Characteristics from Solar Village AERONET Measurements

Natural and anthropogenic aerosols over the Kingdom of Saudi Arabia (KSA) play a major role in affecting the regional radiation budget. The long-term variability of these aerosols’ physical and optical parameters, including aerosol optical depth (AOD) and Ångström exponent (α), were measured at a location near central KSA using the Solar Village (SV) AERONET (Aerosol Robotic Network) station during the period December 1999–January 2013. The AERONET measurements show an overall increase in AOD on an annual basis. This upward trend is mainly attributed to a prolonged increase in the monthly/seasonal mean AOD during March–June and during August–September. In contrast, lower AOD values were observed during November–December. This can be attributed to a low frequency of dust outbreaks and higher precipitation rates. An overall, weak declining trend in α was observed, except during the summer. The spring and summer seasons experienced a pronounced increase in the number of coarse particles (~2 µm) during April 2006–January 2013 as compared to December 1999–March 2006, suggesting an increase in natural aerosol loadings. Using the HYSPLIT model, it was found that the March 2009 dust storm contributed to the mixing of long-transported dust with anthropogenic local emissions near the SV. The results suggest that extensive industrial activity contributed to the increase of anthropogenic emissions over KSA during the period April 2006–January 2013.

Impact of atmospheric aerosols on solar power

Atmospheric aerosols affect the power production of solar energy systems. Their impact depends on both the atmospheric conditions and the solar technology employed. By being a region with a lack in power production and prone to high solar insolation, West Africa shows high potential for the application of solar power systems. However, dust outbreaks, containing high aerosol loads, occur especially in the Sahel, located between the Saharan desert in the north and the Sudanian Savanna in the south. They might affect the whole region for several days with significant effects on power generation. This study investigates the impact of atmospheric aerosols on solar energy production for the example year 2006 making use of six well instrumented sites in West Africa. Two different solar power technologies, a photovoltaic (PV) and a parabolic through (PT) power plant, are considered. The daily reduction of solar power due to aerosols is determined over mostly clear-sky days in 2006 with a model chain combining radiative transfer and technology specific power generation. For mostly clear days the local daily reduction of PV power (at alternating current) (PVAC) and PT power (PTP) due to the presence of aerosols lies between 13 % and 22 % and between 22 % and 37 %, respectively. In March 2006 a major dust outbreak occurred, which serves as an example to investigate the impact of an aerosol extreme event on solar power. During the dust outbreak, daily reduction of PVAC and PTP of up to 79 % and 100 % occur with a mean reduction of 20 % to 40 % for PVAC and of 32 % to 71 % for PTP during the 12 days of the event.

Saharan Dust Modeling Over the Mediterranean Basin and Central Europe: Does the Resolution Matter?

The Mediterranean Basin is frequently affected by desert dust outbreaks coming from the north of Africa. The presence of this type of particulate matter (PM) joint to others (in particular, anthropogenic pollution from the intense human activities) makes the air quality over this region a worrying issue. In this sense, an accurate characterization of the dust transport is essential. This study tries to shed some light on the sensitivity of dust modeling to the spatial resolution by using the online integrated meteorological-chemical model (WRF-Chem). Three simulations only differing on spatial resolution (D1 at 1.32$^\circ$, D2 at 0.44$^\circ$ and D3 at 0.11$^\circ$), during a representative omega-blocking situation over Europe causing Saharan dust transport over the Mediterranean and central Europe were evaluated against MODIS and AERONET. This evaluation revealed an improvement in the model AOD representation when resolution becomes finer, specially over the Saharan desert dust affected area. These discrepancies between resolutions could be attributed to changes both in thermodynamics and dynamics, since AOD is sensitive to aerosol mass, size distribution and water uptake. Relative humidity (RH) and PM-ratio (PM$_{2.5}$/PM$_{10}$) present non-local differences due to the increase of the resolution as a consequence of changes in the long-range transport spatial pattern. Henceforth, the comparison of wind speed and direction, geopotencial height and sea level pressure (SLP) against ERA5 data shows a better representation of the dynamical patterns when decreasing spatial resolution.

Estimation of PM10 Levels and Sources in Air Quality Networks by Digital Analysis of Smartphone Camera Images Taken from Samples Deposited on Filters.

This paper explores the performance of smartphone cameras as low-cost and easily accessible tools to provide information about the levels and origin of particulate matter (PM) in ambient air. We tested the concept by digital analysis of the images of daily PM10 (particles with diameters 10 µm and smaller) samples captured on glass fibre filters by high-volume aerosol samplers at urban and rural locations belonging to the air quality monitoring network of Extremadura (Spain) for one year. The images were taken by placing the filters inside a box designed to maintain controlled and reproducible light conditions. Digital image analysis was carried out by a mobile colour-sensing application using red, green, blue/hue, saturation, value/hue, saturation, luminance (RGB/HSV/HSL) parameters, that were processed through statistical procedures, directly or transformed to greyscale. The results of the study show that digital image analysis of the filters can roughly estimate the concentration of PM10 within an air quality network, based on a significant linear correlation between the concentration of PM10 measured by an official gravimetric method and the colour parameters of the filters’ images, with better results in the case of the saturation parameter (SHSV). The methodology based on digital analysis can discriminate urban and rural sampling locations affected by different local particle-emitting sources and is also able to identify the presence of remote sources such as Saharan dust outbreaks in both urban and rural locations. The proposed methodology can be considered as a useful complement to the aerosol sampling equipment of air quality network field units for a quick estimation of PM10 in the ambient air, through a simple, accessible and low-cost procedure, with further miniaturization potential.

Role of atmospheric nutrient pollution in stimulating phytoplankton growth in small area and shallow depth water bodies: Arabian Gulf and the sea of Oman

Limited investigations into the role of dust deposition in enhancing phytoplankton growth in small and shallow water areas have been reported in the remote sensing literature. In this work, we show that phytoplankton growth was stimulated by nutrients supplied by dust deposition over sea water following three major dust storms that blew over the Arabian Gulf (AG) and the Sea of Oman (SO). Shallow water conditions, as those found in the AG and SO, limit convection and the role of mixing processes in supplying nutrients and in mediating bloom growth. Using satellite data, we analyzed three major dust events over the AG and SO in 2009, 2012, and 2015, and the phytoplankton bloom enhancement that ensued. We used the Mixed Layer Depth model to simulate water mixing and convection currents during and after the high dust events. We also applied the Regional Climate Model RegCM 4.5 to derive dust depositions patterns over AG and SO following the dust outbreak. Additionally, we computed potential requirement versus supply of nitrogen, phosphorus, and iron nutrients to support the observed phytoplankton growth using published nutrient data. Carbon to nitrogen to phosphorus, and carbon to chlorophyll ratios were obtained from in situ measurements in the AG and SO. Shallow depth mixed layers can likely still supply phosphate, but not enough nitrate and iron, leading to potential nitrate and dissolved iron limitations. Our work shows that dust storms are playing a significant role in providing nitrate supplies to support phytoplankton growth in shallow waters such as the AG and SO.