What question did this study set out to answer?

To introduce and validate the AERONET Version 3 algorithm, which automates cloud screening and quality control for near-real-time and post-processed aerosol optical depth measurements.

January 11, 2019Atmospheric measurement techniquesOpen Access

Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements

View Full Paper

Ask AI

Bookmark

To introduce and validate the AERONET Version 3 algorithm, which automates cloud screening and quality control for near-real-time and post-processed aerosol optical depth measurements.
Developed fully automated algorithms to screen clouds and identify instrument anomalies without manual intervention across the global Sun photometer network.
Incorporated filter-specific temperature characterizations across visible and near-infrared wavelengths along with updated trace gas and water vapor absorption coefficients.
Evaluated algorithm performance by comparing multiyear monthly averages across Version 2 and Version 3 databases, including time-matched observations and calibration uncertainty assessments.
Analysis of long-term monthly averages across the entire V3 and V2 databases showed a mean difference (V3 minus V2) of +0.002 with a standard deviation of ±0.02.
Time-matched monthly observations between V3 and V2 demonstrated close statistical agreement, with an average difference of −0.002 and a standard deviation of ±0.004.
Near-real-time aerosol optical depth data exhibited an average spectral bias of +0.02 and a one-sigma uncertainty of 0.02 compared to post-field calibrated values.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Validation study reveals high statistical agreement between automated AERONET Version 3 and legacy Version 2 aerosol optical depth data, indicating improved real-time quality control.

Cite This Study

Giles et al. (2019) studied this question.

synapsesocial.com/papers/69ff85fb6be84a7ac885439f https://doi.org/10.5194/amt-12-169-2019

View Full Paper

Ask AI

Bookmark

Implication

Validation study reveals high statistical agreement between automated AERONET Version 3 and legacy Version 2 aerosol optical depth data, indicating improved real-time quality control.

Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements

Key Points

Discussion

Implication

Cite This Study

Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements

Key Points

Discussion

Implication

Cite This Study

Keep reading

Keep reading