Validation of SeaWiFS and MODIS aerosol products with globally distributed AERONET data

Mélin, Frédéric; Clerici, M.; Zibordi, Giuseppe; Holben, B. N.; Smirnov, A.

doi:10.1016/j.rse.2009.09.003

Cited by 56 publications

(20 citation statements)

References 107 publications

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“…Previous analysis, however, indicates that slight variations of location and size of the nearby satellite pixels sampling location may not significantly alter final comparisons [70]. Therefore, it is unlikely that the location of the 5 × 5 pixel-box used in the study significantly affected overall uncertainty and bias results.…”

Section: Atmospheric Correctionmentioning

confidence: 93%

Evaluation of MODIS-Aqua Atmospheric Correction and Chlorophyll Products of Western North American Coastal Waters Based on 13 Years of Data

et al. 2017

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Abstract:There is an increasing need for satellite-derived accurate chlorophyll-a concentration (chla) products to improve fisheries management in coastal regions. However, the methods used to derive these products have to be evaluated, so the associated uncertainties are known. The performance of three atmospheric correction methods, the near infrared (NIR), the shortwave infrared (SWIR), and the Management Unit of the North Seas Mathematical Models with an additional modification (MUMM + SWIR), and derived chla products based on the Moderate Resolution Imaging Spectroradiometer AQUA (MODIS) images acquired from 2002 to 2014 over the west coast of Canada and the United States were evaluated. The atmospherically corrected products and above-water reflectance were compared with in situ AERONET (N~650) and above-water reflectance (N~34) data, and the Ocean Color 3 MODIS (OC3M)-derived chla were compared with in situ chla measurements (N~82). The statistical analysis indicated that the MUMM + SWIR method was the most appropriate for this region, with relatively good retrievals of the atmospheric products, improved retrieval of remote sensing reflectance with bias lower than 20% for the OC3M bands, and improved retrievals of chla (r = 0.83, slope = 0.89, log RMSE = 0.33 mg m −3 for ±1 h). The poorest chla retrievals were achieved with the SWIR and NIR methods. These results represent the most comprehensive satellite data analysis of MODIS retrievals for this region and provide a framework for the MUMM + SWIR method that can be further tested in other coastal regions of the world.

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Section: Atmospheric Correctionmentioning

confidence: 93%

Evaluation of MODIS-Aqua Atmospheric Correction and Chlorophyll Products of Western North American Coastal Waters Based on 13 Years of Data

et al. 2017

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“…For example, in the southern latitudes (south of 40 • ) the sunphotometer AODs are low compared with satellite retrievals and modeling results. This discrepancy can be explained, at least partly, by uncertainties in aerosol production rates (Lewis and Schwartz, 2004), foam formation and its latitudinal distribution (Anguelova and Webster, 2006), by a process of quality control that excludes some residual cloud contamination (Zhang and Reid, 2010), by the accuracy of radiative transfer models used (Melin et al, 2010), and more accurate accounting for surface reflectance effects (Sayer et al, 2010).…”

Section: Comparison With Satellite Retrievals and Global Transport Momentioning

confidence: 99%

Maritime aerosol network as a component of AERONET – first results and comparison with global aerosol models and satellite retrievals

et al. 2011

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Abstract. The Maritime Aerosol Network (MAN) has been collecting data over the oceans since November 2006. Over 80 cruises were completed through early 2010 with deployments continuing. Measurement areas included various parts of the Atlantic Ocean, the Northern and Southern Pacific Ocean, the South Indian Ocean, the Southern Ocean, the Arctic Ocean and inland seas. MAN deploys Microtops handheld sunphotometers and utilizes a calibration procedure and data processing traceable to AERONET. Data collection included areas that previously had no aerosol optical depth (AOD) coverage at all, particularly vast areas of the Southern Ocean. The MAN data archive provides a valuable resource for aerosol studies in maritime environments. In the current paper we present results of AOD measurements over the oceans, and make a comparison with satellite AOD retrievals and model simulations.

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“…For example, in the southern latitudes (south of 40 • ) the sunphotometer AODs are low compared with satellite retrievals (Smirnov et al, 2006. This discrepancy can be explained, at least partly, by uncertainties in foam formation and its latitudinal distribution (Anguelova and Webster, 2006), by a process of quality control that excludes some residual cloud contamination (Zhang and Reid, 2010), by the accuracy of radiative transfer models used (Melin et al, 2010), and by more accurate accounting for surface reflectance effects in satellite retrievals (Sayer et al, 2010).…”

mentioning

confidence: 99%

Effect of wind speed on aerosol optical depth over remote oceans, based on data from the Maritime Aerosol Network

et al. 2012

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Abstract. The Maritime Aerosol Network (MAN) has been collecting data over the oceans since November 2006. The MAN archive provides a valuable resource for aerosol studies in maritime environments. In the current paper we investigate correlations between ship-borne aerosol optical depth (AOD) and near-surface wind speed, either measured (onboard or from satellite) or modeled (NCEP). According to our analysis, wind speed influences columnar aerosol optical depth, although the slope of the linear regression between AOD and wind speed is not steep (∼0.004-0.005), even for strong winds over 10 m s −1 . The relationships show significant scatter (correlation coefficients typically in the range 0.3-0.5); the majority of this scatter can be explained by the uncertainty on the input data. The various wind speed sources considered yield similar patterns. Results are in good agreement with the majority of previously published relationships between surface wind speed and ship-based or satellite-based AOD measurements. The basic relationships are similar for all the wind speed sources considered; however, the gradient of the relationship varies by around a factor of two depending on the wind data used.

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Validation of SeaWiFS and MODIS aerosol products with globally distributed AERONET data

Cited by 56 publications

References 107 publications

Evaluation of MODIS-Aqua Atmospheric Correction and Chlorophyll Products of Western North American Coastal Waters Based on 13 Years of Data

Evaluation of MODIS-Aqua Atmospheric Correction and Chlorophyll Products of Western North American Coastal Waters Based on 13 Years of Data

Maritime aerosol network as a component of AERONET – first results and comparison with global aerosol models and satellite retrievals

Effect of wind speed on aerosol optical depth over remote oceans, based on data from the Maritime Aerosol Network

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