Assessment and characteristics of S-NPP VIIRS Deep Blue and Dark Target aerosol properties under clean, polluted and fire scenarios over the Amazon

Atmospheric Environment, Год журнала: 2024, Номер 323, С. 120398 - 120398

Опубликована: Фев. 12, 2024

Язык: Английский

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Validation and Comparison of Long-Term Accuracy and Stability of Global Reanalysis and Satellite Retrieval AOD

Remote Sensing, Год журнала: 2024, Номер 16(17), С. 3304 - 3304

Опубликована: Сен. 5, 2024

Reanalysis and satellite retrieval are two primary approaches for obtaining large-scale long-term Aerosol Optical Depth (AOD) datasets. This study evaluates compares the accuracy, stability, error characteristics of MERRA-2, MODIS combined Dark Target Deep Blue (DT&DB), VIIRS DB AOD products globally regionally. The results indicate that MERRA-2 exhibits highest accuracy with an expected (EE, ±0.05 ± 20%) 83.24% mean absolute (MAE) 0.056, maintaining a stability 0.010 per decade. However, since ceased assimilating observations other than in 2014, its decreased by approximately 5.6% EE metric after 2014. (DB) product, 79.43% 0.016 decade, is slightly less accurate stable compared to AOD. DT&DB demonstrates 76.75% 0.011 Regionally, performs acceptably most areas, especially low-aerosol-loading regions, > 86% ~0.02 excels high-aerosol-loading such as Indian subcontinent, 69.14% 0.049 performance falls between across regions. Overall, each product meets metrics globally, but users need select appropriate analysis based on validation different

Язык: Английский

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Spatio-temporal variations of aerosol optical depth over Ukraine under the Russia-Ukraine war

Atmospheric Environment, Год журнала: 2023, Номер 314, С. 120114 - 120114

Опубликована: Окт. 2, 2023

Язык: Английский

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Comparisons of aerosol types and optical characters over Shouxian Area China observed from ground- and space-based systems

Optics Express, Год журнала: 2024, Номер 32(16), С. 27081 - 27081

Опубликована: Июнь 14, 2024

This study evaluates the performance of moderate-resolution Imaging spectroradiometer (MODIS) in aerosol optical depth(AOD) and Ångström exponent(AE) retrievals under high loading conditions across various types, utilizing ground-based space-borne measurements Shouxian, China. The intercomparison reveals cloud-aerosol LiDAR with orthogonal polarization's (CALIOP) efficacy detecting significant layers refinement sunphotometer-based type classification through CALIPSO, achieving approximately 80% accuracy. Analysis 2016-2017 data indicates substantial presence monthly mean AODs ranging from 0.35 to 0.72 at 550 nm, significantly above global average. predominant types were mixed-type (54.8%), desert dust (21.2%), urban/industrial(15.5%), biomass-burning (6.4%), continental (12.1%), frequent observations elevated long-range transported layers. MODIS AOD generally align sunphotometer but exhibit higher biases, especially increasing magnitudes. However, there is a notable difference between AE measurements, accurately assessing BBA showing varied other types. combination DD most accurate. Further analysis showed that biases are negatively correlated, these negative bias correlations show strong sensitivities. Monthly comparisons highlights varying performance, particularly during normalized vegetation index (NDVI) transitions, suggesting local cycles associated surface spectral reflectance changes impact retrieval accuracy conditions.

Язык: Английский

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Are the cloud-top heights retrieved from GOES-16/ABI and GOES-17/ABI consistent?

IEEE Transactions on Geoscience and Remote Sensing, Год журнала: 2024, Номер 62, С. 1 - 9

Опубликована: Янв. 1, 2024

Язык: Английский

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An Adaptive Dark-Target Algorithm for Retrieving Land AOD Applied to FY-4B/AGRI Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Год журнала: 2024, Номер 17, С. 14035 - 14049

Опубликована: Янв. 1, 2024

Язык: Английский

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Trends and classification of aerosol observed from MODIS sensor over Northern Europe and the Arctic

Atmospheric Pollution Research, Год журнала: 2024, Номер unknown, С. 102329 - 102329

Опубликована: Окт. 1, 2024

Язык: Английский

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Applying the Dark Target Aerosol Algorithm to MERSI-II: Retrieval and Validation of Aerosol Optical Depth over the Ocean

Advances in Atmospheric Sciences, Год журнала: 2024, Номер 41(12), С. 2446 - 2463

Опубликована: Окт. 28, 2024

Язык: Английский

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Global evaluation of NOAA-20 VIIRS dark target aerosol products over land and ocean

Atmospheric Environment, Год журнала: 2024, Номер unknown, С. 120949 - 120949

Опубликована: Ноя. 1, 2024

Язык: Английский

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