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High-Resolution Gridded Level 3 Aerosol Optical Depth Data from MODISThe state-of-art satellite observations of atmospheric aerosols over the last two decades from NASA's MODIS instruments have been extensively utilized in climate change and air quality research and applications. The operational algorithms now produce level 2 aerosol data at varying spatial resolutions (1, 3, and 10 km) and level 3 data at 1 degree. The local and global applications have been benefited from the coarse resolution gridded data sets (i.e., level 3, 1 degree), as it is easier to use since data volume is low and, several online and offline tools are readily available to access and analyze the data with minimal computing resources. At the same time, researchers who require data at much finer spatial scales have to go through a challenging process of obtaining, processing, and analyzing larger volumes of data sets that require high-end computing resources and coding skills. Therefore, we have created a high spatial resolution (HRG, 0.1x0.1 degree) daily and monthly aerosol optical depth (AOD) product by combining two MODIS operational algorithms, namely Deep Blue (DB) and Dark Target (DT). The new HRG AODs meets the accuracy requirements of level 2 AOD data and provide either the same or more spatial coverage on daily and monthly scales. The data sets are provided in daily and monthly files through open Ftp server with python scripts to read and map the data. The reduced data volume with an easy to use format and tools to access the data will encourage more users to utilize the data for research and applications.
Document ID
20205007496
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Pawan Gupta
(Universities Space Research Association Columbia, Maryland, United States)
Lorraine A Remer
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Falguni Patadia
(Universities Space Research Association Columbia, Maryland, United States)
Robert C Levy ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Sundar A Christopher
(University of Alabama in Huntsville Huntsville, Alabama, United States)
Date Acquired
September 11, 2020
Publication Date
September 2, 2020
Publication Information
Publication: Remote Sensing
Publisher: MDPI
Volume: 12
Issue: 17
Issue Publication Date: September 1, 2020
ISSN: 2072-4292
URL: https://www.mdpi.com/2072-4292/12/17/2847
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80MSFC17M0022
CONTRACT_GRANT: NNH17ZDA001N-TASNPP: The Science of Terra, Aqua, and Suomi NPP
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
aerosol
MODIS
data
satellite
gridded
climate
air quality
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