1. Exploration Step: User chooses a bbox and sensor(s) for a day or month and is able to visually assess the spatial distribution.2. Comparison Statistics Step: User statistically compares data from the chosen sensors by timeseries and/or scatter plots.3. Bias Visualization Step: User may access validation (both linear and non-linear) statistics to get a statistical representation of the instruments.4. Statistics over Aeronet Station(s) Step : User may compare sensor data with Aeronet data (if available).5a. Fusion Step: the data from Step 1 are merged (raw).5b. Fusion With Bias Adjustment Step (optional): the bias calculated in Step 3 is used to adjust the merged data.5c. Fusion With Tuning (via Statistics ) Step (optional): User examines the merged data, calculates statistics on the components, and then tunes for the corrected fusion.

OVERVIEW OF THE AEROSTAT PROJECT

1. Exploration Step:

User clicks on bbox for a select day (or month)and then chooses sensor(s). Ex. MODIS Terra &Aqua, OMI, MISR, and MODIS Aqua Deep Blue.

This gives the user a glance at the data and a way to visually assess the spatial distribution(s)for each individual sensor for that day (or month).

Data Source:L2 Database

2. Comparison Statistics Step:User statistically compares data from the the chosen sensors via timeseries and/orscatter plots.

Computed on the fly?MISR

MO

DIS

Aqu

a

MO

DIS

Aqu

a

MODIS Terra

MO

DIS

Aqu

a

OMI

3. Bias Visualization Step:User may access validation (both linear andnon-linear) statistics to get a statisticalrepresentation of the instruments.

Data Source:validation database

MODIS Terra

User can filter by region and season.

Other filters, such as surface type and clouds,may be utilized, as well.

MO

DIS

Aqu

a

PDF

A bias might then be inferred and “stored” in a

Bias Adjustment “database”

4. Statistics over Aeronet Station(s) Step:

Data Source:MAPSS database

If an Aeronet station is available, the user maywish to compare sensor data with Aeronet datavia timeseries overlay or scatter plot.

MOD

Aeronet

(this plot doesn’t depict actual data)

5a. Fusion Step:

The data from Step 1are merged.

5b. Fusion With Bias Adjustment Step (optional):

PDFData Source:

Bias Adjustment “database”(calculated in Step 3)

+

5c. Fusion With Tuning (via Statistics) Step (optional):

+

User examines the merged data, calculatesstatistics on the components, and then tunesfor the corrected fusion.

Statistics

Time

Aeronet (if available)

Fused Data

MODIS Terra

MODIS Aqua

Note: If Aeronet data is not available,then the user will need to choosea sensor to act as a baseline to computestatistics.