Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe DOI Creative Commons

Anna Moustaka,

Marios-Bruno Korras-Carraca, Kyriakoula Papachristopoulou

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(10), P. 1689 - 1689

Published: May 9, 2024

North Africa, the Middle East, and Europe (NAMEE domain) host a variety of suspended particles characterized by different optical microphysical properties. In current study, we investigate importance lidar ratio (LR) on Cloud-Aerosol Lidar with Orthogonal Polarization–Cloud-Aerosol Infrared Pathfinder Satellite Observations (CALIOP-CALIPSO) aerosol retrievals towards assessing aerosols’ impact Earth-atmosphere radiation budget. A holistic approach has been adopted involving collocated Aerosol Robotic Network (AERONET) observations, Radiative Transfer Model (RTM) simulations, as well reference measurements acquired using spaceborne (Clouds Earth’s Radiant Energy System-CERES) ground-based (Baseline Surface Radiation Network-BSRN) instruments. We are clear-sky shortwave (SW) direct radiative effects (DREs) 550 atmospheric scenes, identified within 2007–2020 period, in which primary tropospheric species (dust, marine, polluted continental/smoke, elevated smoke, clean continental) probed CALIPSO. RTM runs have performed relying CALIOP default DeLiAn (Depolarization ratio, Ångström exponent)-based aerosol-speciated LRs considered. The simulated fields from both configurations compared against those produced when AERONET AODs applied. Overall, leads to better results mainly mineral either solely recorded or coexist other (e.g., sea-salt). quantitative terms, errors DREs reduced ~26–27% at surface (from 5.3 3.9 W/m2) atmosphere −3.3 −2.4 W/m2). improvements become more significant (reaching up ~35%) for moderate-to-high loads (AOD ≥ 0.2).

Language: Английский

A comprehensive investigation of the causes of drying and increasing saline dust in the Urmia Lake, northwest Iran, via ground and satellite observations, synoptic analysis and machine learning models DOI
Nasim Hossein Hamzeh‎, Karim A. Shukurov, Kaveh Mohammadpour

et al.

Ecological Informatics, Journal Year: 2023, Volume and Issue: 78, P. 102355 - 102355

Published: Oct. 24, 2023

Language: Английский

Citations

17
Dust Events over the Urmia Lake Basin, NW Iran, in 2009–2022 and Their Potential Sources DOI Creative Commons

Abbas Ranjbar Saadat Abadi,

Karim A. Shukurov, Nasim Hossein Hamzeh‎

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2384 - 2384

Published: June 28, 2024

Nowadays, dried lake beds constitute the largest source of saline dust storms, with serious environmental and health issues in surrounding areas. In this study, we examined spatial–temporal distribution monthly annual events varying intensity (dust suspension, blowing dust, storms) vicinity desiccated Urmia Lake northwestern (NW) Iran, based on horizontal visibility data during 2009–2022. Dust storm exhibited different patterns, higher frequencies between March October, especially southern eastern parts Basin. Furthermore, intra-annual variations aerosol optical depth at 500 nm (AOD550) Ångström exponent 412/470 (AE) were investigated using Terra/Aqua MODIS (Moderate Resolution Imaging Spectroradiometer) over Basin (36–39°N, 44–47°E). Monthly distributions potential coarse (AE < 1) sources affecting lower troposphere reconstructed, synergizing AOD550 for AE 1 values HYSPLIT_4 backward trajectories. The reconstructed patterns compared spatial Terra Middle East Central Asia (20–70°E, 20–50°N). results showed that deserts Aral–Caspian arid region (ACAR) mostly contribute to load region, exhibiting frequency spring early summer. Local from further AOD, western part April. modeling (DREAM8-NMME-MACC) revealed high concentrations near-surface concentrations, which may have effects local population, while distant are main controlling factors loading

Language: Английский

Citations

5
The Importance of Wind Simulations over Dried Lake Beds for Dust Emissions in the Middle East DOI Creative Commons
Nasim Hossein Hamzeh‎,

Abbas Ranjbar Saadat Abadi,

Dimitris G. Kaskaoutis

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 15(1), P. 24 - 24

Published: Dec. 24, 2023

Dust storms are one of the major environmental hazards affecting Middle East countries, and largely originate in vast deserts narrow dried lake beds. This study analyzes inter-annual variation dust weather conditions from 2000 to 2020 using data obtained ten meteorological stations located around (completely or partly) lakes Northwest (Urmia Lake) South (Bakhtegan Iran. Since wind regime is most important factors controlling emissions source areas, speed simulations Weather Research Forecasting (WRF) Model for 134,113 grid points covering area, with a resolution 5 km, were analyzed compared measurements at Urmia Bakhtegan Lakes 2005 2015. The analysis shows that annual number days was highly variable, presenting significant increase Lake during 2008–2011 2007–2012. Eleven years WRF mean diurnal patterns revealed highest 10 m occurred mostly local noon (12 15 UTC), generally coinciding majority reported codes within this time frame, as result association between (dust conditions) these basins. Consequently, accurate simulation has high importance unbiased numerical prediction forecasting conditions. comparison measured monthly WRF-simulated model overestimated all but performed better reconstructing speeds Lake. Furthermore, notable differences observed simulated directions, thus leading uncertainties dust-plume transport.

Language: Английский

Citations

12
CALIPSO Overpasses During Three Atmospheric Pollen Events Detected by Hirst-Type Volumetric Samplers in Two Urban Cities in Greece DOI Creative Commons

Archontoula Karageorgopoulou,

E. Giannakaki,

Christos Stathopoulos

et al.

Atmosphere, Journal Year: 2025, Volume and Issue: 16(3), P. 317 - 317

Published: March 10, 2025

Vertically retrieved optical properties by Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) were investigated in the case of three selected events over Athens Thessaloniki with documented high pollen concentrations. Hirst-type volumetric samplers used to detect characterize during CALIPSO overpasses. Only cases a total concentration greater than 400 grains m−3 for at least two hours per day considered severe events, while model simulations exclude presence other depolarizing aerosol types. This study provides mean values lidar-derived inside detected layers; i.e., represent atmosphere pollen, urban cities Greece. Specifically, observed layers, one particulate color ratios 0.652 ± 0.194, 0.638 0.362, 0.456 0.284, depolarization 8.70 6.26%, 28.30 14.16%, 8.96 6.87%, respectively, misclassified as marine-dusty marine, dust, polluted dust. In intense presence, vertical profiles aerobiological monitoring methods may be synergistically better atmospheric layers.

Language: Английский

Citations

0
The “Dust Haze” Effect in the Atmosphere of a Megapolis DOI
D. P. Gubanova, А. С. Гинзбург, А. А. Виноградова

et al.

Doklady Earth Sciences, Journal Year: 2025, Volume and Issue: 522(1)

Published: April 15, 2025

Language: Английский

Citations

0
Simulation and synoptic investigation of a severe dust storm originated from the Urmia Lake in the Middle East DOI Creative Commons
Nasim Hossein Hamzeh‎,

Abbas Ranjbar Saadat Abadi,

Karim A. Shukurov

et al.

Atmósfera, Journal Year: 2024, Volume and Issue: 38, P. 531 - 555

Published: April 22, 2024

Dried lake beds are one of the largest sources dust in world, causing environmental problems surrounding areas. In this study, desiccated Urmia Lake was primary source for all nearby synoptic stations during April 24-25, 2017 episode. Synoptic analysis revealed that heavy storm triggered by a strong Black Sea cyclone and low-pressure system over central Iraq conjunction with vast high-pressure system. HYSPLIT-based trajectory showed high PM10 recorded region on 23-26, 2017, influenced western Azerbaijan, south Caspian Sea, southwestern Kazakhstan, northwestern Uzbekistan, Turkmenistan. The dustiest air masses (PM10 > 400 µg m–3) affected Azerbaijan. Furthermore, WRF-Chem model run to evaluate spatial distribution particles study region. vertical profile simulated concentration ascended 5 km from lake. schemes accurately propagation Lake; however, AFWA GOCART fluctuating changes were earlier than measured surface at five around 2017. maximum amount anticipated simulation 12 h mass throughout period.

Language: Английский

Citations

3
Long-Term Wind and Air Temperature Patterns in the Southeastern Region of Iran through Model Simulation and Ground Observations DOI Creative Commons
Nasim Hossein Hamzeh‎,

Abbas Ranjbar Saadat Abadi,

Khan Alam

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(8), P. 993 - 993

Published: Aug. 19, 2024

Dust storms are one of the important natural hazards that affect lives inhabitants all around world, especially in North Africa and Middle East. In this study, wind speed, direction, air temperature patterns investigated dustiest cities Sistan Basin, Zahedan City, located southeast Iran, over a 17-year period (2004–2020) using WRF model ground observation data. The city is near dust source mostly affected by local storms. World Meteorology Organization (WMO) dust-related codes show was dust, with 52 percent total events occurring during (2004–2021). city’s weather station reported 17.5% 43% were minimum maximum dusty days, respectively, 2004–2021. summer July considered season month city. Since temperature, direction factors rising propagation, these meteorological simulated Weather Research Forecasting (WRF) for station. model’s output found to be highly correlated data; however, simulation overestimated when compared data study (2004–2020). had reasonable performance class frequency distribution at station, demonstrating 42.6% between 0.5 2, which good agreement (42% range 0.5–2). So, effectively despite overestimating speed as well minimum, maximum, average temperatures period.

Language: Английский

Citations

2
Long-Range Atmospheric Transport of Dust from the Caspian Sea Region to the Arctic Zone of the European Part of Russia in December 2023 DOI
D. P. Gubanova, А. А. Виноградова, Е. И. Котова

et al.

Doklady Earth Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 11, 2024

Language: Английский

Citations

2
Spatio-Temporal Distribution of PM2.5 and PM10 Concentrations and Assessment of Public Health Risk in the Three Most Polluted Provinces of Iran DOI Open Access
Abbas Ranjbar Saadatabadi, Nasim Hossein Hamzeh‎, Dimitris G. Kaskaoutis

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 17(1), P. 44 - 44

Published: Dec. 25, 2024

This study examines the spatio-temporal variations of ambient air pollution from fine particulates below 2.5 µm (PM2.5) and particulate matter 10 (PM10) in three most polluted provinces Iran, namely Tehran, Isfahan, Khuzestan, over a 6-year period (2016–2021). The results reveal distinct patterns PM10 PM2.5 concentrations since highest levels occur winter, while is lowest March to May. Khuzestan experiences summer due dust storms, Isfahan exhibits annual similar Tehran. Strong correlations are observed between at stations Tehran Provinces, suggesting common sources variation both coarse PM, with average PM2.5/PM10 ratios 0.39–0.42, dominance dust. Furthermore, analysis identifies role atmospheric stability, wind speed, storms controlling PM provinces. Lifetime cancer risks have been identified as unacceptably high, exceeding threshold limit 10−4, Hazard Quotient (HQ) values above 1 indicate high non-carcinogenic potential risk, particularly Province. Excess Cancer Risk (ELCR) for exposure populated Province range 139.4 × 10−6 263.2 10−6, underscoring significant across various monitoring sites. emphasizes urgent need targeted control measures each province effectively mitigate adverse health effects associated concentrations.

Language: Английский

Citations

2
Forecasting Wetland Transformation to Dust Source by Employing CA-Markov Model and Remote Sensing: A Case Study of Shadgan International Wetland DOI

Vaad Khanfari,

Hossein Mohammad Asgari,

Ali Dadollahi-Sohrab

et al.

Wetlands, Journal Year: 2024, Volume and Issue: 44(7)

Published: Sept. 11, 2024

Language: Английский

Citations

1