Assessment of severe aerosol events from NASA MODIS and VIIRS aerosol products for data assimilation  and climate continuity

Gumber, Amanda; Reid, Jeffrey S.; Holz, Robert E.; Eck, Thomas F.; Hsu, N. Christina; Levy, Robert C.; Zhang, Jianglong; Veglio, Paolo

doi:https://doi.org/10.5194/amt-16-2547-2023

Articles | Volume 16, issue 10

https://doi.org/10.5194/amt-16-2547-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-16-2547-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 10

Research article

|

26 May 2023

Research article |

| 26 May 2023

Assessment of severe aerosol events from NASA MODIS and VIIRS aerosol products for data assimilation and climate continuity

Amanda Gumber, Jeffrey S. Reid, Robert E. Holz, Thomas F. Eck, N. Christina Hsu, Robert C. Levy, Jianglong Zhang, and Paolo Veglio

Supplement

https://doi.org/10.5194/amt-16-2547-2023-supplement

Data sets

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 D. M. Giles, A. Sinyuk, M. G. Sorokin, J. S. Schafer, A. Smirnov, I. Slutsker, T. F. Eck, B. N. Holben, J. R. Lewis, J. R. Campbell, E. J. Welton, S. V. Korkin, and A. I. Lyapustin https://doi.org/10.5194/amt-12-169-2019

MODIS Atmosphere L2 Aerosol Product R. Levy and C. Hsu https://doi.org/10.5067/MODIS/MYD04_L2.006

MCD19A2 MODIS/Terra+Aqua Land Aerosol Optical Depth Daily L2G Global 1km SIN Grid V006 Alexi Lyapustin and Yujie Wang https://doi.org/10.5067/MODIS/MCD19A2.006

AERDB_L2_VIIRS_SNPP - VIIRS/SNPP Deep Blue Aerosol L2 6-Min Swath 6 km A. M. Sayer, N. C. Hsu, C. Bettenhausen, J. Lee, W. V. Kim, and A. Smirnov https://doi.org/10.5067/VIIRS/AERDB_L2_VIIRS_SNPP.011

Model code and software

Yori: L3 Gridding Tools P. Veglio, R. Holz, L. Gumley, G. Quinn, S. Dutcher, and B. Flynn https://sips.ssec.wisc.edu/docs/yori.html

Short summary

The purpose of this study is to create and evaluate a gridded dataset composed of multiple satellite instruments and algorithms to be used for data assimilation. An important part of aerosol data assimilation is having consistent measurements, especially for severe aerosol events. This study evaluates 4 years of data from MODIS, VIIRS, and AERONET with a focus on aerosol severe event detection from a regional and global perspective.