研究目的
Investigating the Aerosol Optical Depth and Angstrom Exponent and Their Relationships with Meteorological Parameters Over Lahore in Pakistan
研究成果
The research concludes that aerosol properties over Lahore vary seasonally, with highest AOD in July due to dust aerosols and lowest in February with urban/industrial aerosols. AE indicates fine mode dominance annually. Significant correlations exist between AOD/AE and meteorological parameters, with AOD positively correlated with temperature, dew point, etc., and negatively with pressure. AE shows positive correlations with humidity and pressure, and negative with temperature, etc. MODIS-AOD validation shows good agreement with AERONET-AOD (R2=0.632, RMSE=0.22). The findings enhance understanding of aerosol-climate interactions in the region.
研究不足
The study is limited to Lahore, Pakistan, and the period 2006-2014. Data quality depends on AERONET and MODIS retrievals, which may have uncertainties, especially over bright surfaces. The correlation analysis assumes linear relationships and may not capture non-linear effects. Meteorological data is from ground stations, which might not fully represent spatial variability.
1：Experimental Design and Method Selection:
The study uses AERONET data from 2006-2014 to analyze aerosol optical depth (AOD) at 500 nm and Angstrom exponent (AE) at 440/870 nm, and their correlations with meteorological parameters. MODIS-AOD data is validated against AERONET-AOD. Linear regression and correlation analysis are employed to assess relationships.
2：Sample Selection and Data Sources:
Data is sourced from the AERONET site in Lahore (31.52°N, 74.32°E), using level 2.0 quality-assured monthly average data. Meteorological data (temperature, dew point, humidity, mean sea level pressure, visibility, wind speed, rain, dust storm frequency) is obtained from the Pakistan Meteorological Department. MODIS data (MYD04.051 level 2 product) is used for validation.
3：52°N, 32°E), using level 0 quality-assured monthly average data. Meteorological data (temperature, dew point, humidity, mean sea level pressure, visibility, wind speed, rain, dust storm frequency) is obtained from the Pakistan Meteorological Department. MODIS data (MYD051 level 2 product) is used for validation.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Sun photometer (by CIMEL) from AERONET, MODIS satellite sensor on Aqua satellite, and meteorological instruments from PMD.
4：Experimental Procedures and Operational Workflow:
Data collection involves retrieving AERONET and MODIS data, interpolating AOD to 550 nm for comparison, and collocating observations within ±30 minutes of satellite overpass. Statistical analysis includes calculating monthly means, standard deviations, and correlation coefficients.
5：Data Analysis Methods:
Linear regression (y = mx + c) and Pearson correlation coefficients (r) are used to analyze relationships between AOD/AE and meteorological parameters. Validation includes scatter plots, R2, and root-mean-square error (RMSE).
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