Despite the immense amount of atmospheric aerosol data available at various spatial and temporal scales, the largest uncertainty in predicting the course of Earth’s future climate change is still primary and secondary aerosol climate feedbacks. AeroStat is an online environment for direct statistical intercomparison of global aerosol parameters in which data provenance and data quality can be readily accessed by scientists. AeroStat also provides a collaborative research environment for aerosol scientists where participants can share pertinent research workflow information (including cases of interest, algorithms, best practices, and known errors) within the community. This effort enables other users of the system to easily reproduce and independently verify the shared results, and allows for convenient tracking of scientific results back to their original input data, further ensuring the reliability of these results.
The Goddard Distributed Active Archive Center (GDAAC) recently released Version 1.2 of AeroStat, which enables (1) validation of multi-sensor aerosol products via “Time Series” and “Scatter Plot” analyses and (2) event monitoring by merging multi-sensor aerosol products to generate “Daily Maps”. For validation, AeroStat uses data from MAPSS (the Multi-sensor Aerosol Products Sampling System) to provide spatio-temporal statistics for multiple spaceborne Level 2 aerosol products (from MODIS Terra, MODIS Aqua, MISR) sampled over AERONET ground stations. For event monitoring, AeroStat provides sequential satellite Level-3 gridded daily map data (individual or merged) derived from various Level 2 swath products. This Level 3 product is provided on a regular longitude-latitude grid with horizontal resolution of 0.5°, or about 54 km latitudinally.
With AeroStat, users can easily visualize and analyze statistical properties of atmospheric aerosol events, including data collected from multiple sensors and quality assurance (QA) properties of these data. AeroStat also provides a “Bias Adjustment” option to allow users to adjust the satellite data relative to an AERONET baseline.
Users should read the “Read_Me_First” document (http://disc.sci.gsfc.nasa.gov/aerosols/services/aerostat/AeroStat_ReadMe.html), which provides a guide to useful articles to help users properly use AeroStat for their research. The details of MAPSS statistics generation can be found at http://disc.sci.gsfc.nasa.gov/aerosols/services/mapss/mapssdoc.html. Other related Giovanni portals can be found in: http://giovanni.gsfc.nasa.gov/.
AeroStat was funded by NASA’s Advancing Collaborative Connections for Earth System Science (ACCESS) Program.
Your comments and suggestions are welcome. Email the NASA GES DISC Help Desk, firstname.lastname@example.org
Sahara - Cape Verde dust event, March 2003
The following case study is intended to show the described functionality and capabilities of AeroStat, and possible directions of future development. Click on any figure to view it at full scale.
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|Figure 1a. Time series of aerosol optical depth (AOD) at Cape Verde measured by AERONET, MODIS Aqua (MYD04), MODIS Terra (MOD04), and MISR for 2003. ||Figure 1b. The red dot on the image shows the location of the Cape Verde islands AERONET site. |
|Figure 2. Scatter plots of aerosol optical depth (AOD) at Cape Verde measured by AERONET, MODIS Aqua (MYD04), MODIS Terra (MOD04), and MISR for 2003. |