AeroStat : NASA Giovanni Tool for Statistical Intercomparison of Aerosol s

1. AeroStat: NASA Giovanni Tool for Statistical Intercomparison of Aerosols Jennifer.C.Wei@nasa.gov *Gregory.G.Leptoukh@nasa.gov Jennifer C.Wei1, Gregory Leptoukh*2, Chris Lynnes2, Arif Albayrak1, Maksym Petrenko3, Mahabaleshwara Hegde1, Leonid Petrov1, Daniel da Silva2, and Charles Ichoku2(1Adnet, 2NASA GSFC, 3UMCP) Motivation: Goals: • Different papers suggested different views on the quality of MODIS and MISR aerosol products. • Peer-reviewed papers are usually behind the latest version of the data. • Difficult to verify/reproduce results from various published paper • Difficult to combine consistently adjusted measurements • In need of an online shareable environment where data processing and analysis can be done in a transparent way by any user of this environment and can be shared amongst all the members of the aerosol community. • Provide an easy-to-use collaborative environment for exploring aerosol phenomena using multi-sensor data • Provide consistent services with multi-sensor aerosol data • Provide a transparent environment to colocation and comparison methods with detail documentation • Provide easy sharing of results • Data Derived Products from Level 2 Measurements • Original Level 2 Product • AERONET Level 2 • MODIS Terra Level 2 • MODIS Aqua Level 2 • MISR Level 2 • Derived Products • Satellite Colocated with AERONET stations: MAPSS Database • Cross Satellite Colocations: Near-neighbor search algorithm Aerostat Giovanni Online Services Flowchart: Bias Adjustment using Neural Network Scatter Plot Time Series Lat-Lon Map • Collaborative Environment • allows users to share plots from an Giovanni instance, e.g., AeroStat. • allows users to view other plots that have been shared • allows users to comment on and discuss shared results • allows users to respond to shared plots with new shared plots • allows users to better get their point across in discussion by highlighting areas of the plot and annotating them . • allows users to reload shared results they read about into Giovanni, where they can modify the criteria and do further investigation How does Giovanni-Social work? Data Provenance Data Quality Filters Threshold Follow Science Team Recommendation Challenges: Down the Road: Coming Soon (Nov- Dec 2011) Current Status: • Technology • Lack of web service support in Kepler • Database is very large (more than 1.5 B entries) • Difficult to do fast data subsetting directly from multi-sensor Level 2 data • Scientific Data • Difficult in working with MISR geolocation framework • Difficult in determining the optimal set of inputs to the neural network bias adjustment • Challenge of complex and heterogeneous quality schemes • Challenge of determining data provenance information • Public Release for Giovanni-AeroStat • Implement bias adjustment using neural network for MODIS (Dark Target, Deep Blue and Ocean) and MISR AOD from MAPSS database • Integrate collaborative environment into Giovanni • Integrating cross-satellite colocation products into Giovanni. • Implementing the registration for collaborative environment. • Developing the cross-sensor bias database for neural network bias adjustment for MISR. • Routinely process and ingest of colocated satellite and AERONET data • Fold AeroStat Giovanni into main stream Giovanni • Add new Giovanni features and services to AeroStat where applicable http://giovanni.gsfc.nasa.gov/aerostat/ This project was supported in by ACCESS (Accelerating Collaborative Connections for Earth System Science)