Chapter 7: Using Giovanni for Analysis of Air Quality Events in Central America

11:00 – 12:00

What is Giovanni ?What is Giovanni ?

• Giovanni is a Web-based application developed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).

• Giovanni provides a simple and easy way to explore, visualize, analyze, and access vast amounts of Earth science remote sensing and model data.

• Data sets generally available within 1-3 days http://giovanni.gsfc.nasa.gov/http://giovanni.gsfc.nasa.gov/

Giovanni at your Finger TipsGiovanni at your Finger Tips

Only a Web browser is Only a Web browser is needed.needed.

No need to learn data No need to learn data formats and programming.formats and programming.

No need to download large No need to download large amounts of data.amounts of data.

Customized data and analyses can be Customized data and analyses can be obtained with only a few mouse clicks.obtained with only a few mouse clicks.

Aerosol from MODIS and GOCART modelAerosol from MODIS and GOCART modelParticulate Matter (PM 2.5) from AIRNow Particulate Matter (PM 2.5) from AIRNow

Ozone Hole from OMIOzone Hole from OMI

Aerosol from GOCART modelAerosol from GOCART model1010-6-6 ppmv ppmv

Carbon Monoxide from AIRSCarbon Monoxide from AIRS

Water Vapor from AIRSWater Vapor from AIRS MODIS vs SeaWiFS ChlorophyllMODIS vs SeaWiFS Chlorophyll

Giovanni Giovanni InstancesInstances

CloudSat CloudSat

HIRDLSHIRDLS

MLSMLS

OMIOMI

TRMMTRMM

SeaWiFSSeaWiFS

AMSR-EAMSR-E

HALOEHALOE

TOMSTOMS

ModelsModels

ParasolParasol

CALIPSOCALIPSO

Data Data InputsInputs

MODISMODIS

AIRS AIRS

MISRMISR

and more…and more…

Giovanni ToolsGiovanni ToolsGiovanni DataGiovanni Data

Giovanni Air Quality Data Giovanni Air Quality Data

Products and ApplicationsProducts and Applications

Giovanni Air Quality DatasetsGiovanni Air Quality Datasets

Particulate Air Quality• MODIS TERRA and AQUA total and fine mode

Aerosol Optical Depth (AOD)• MISR AOD• CALIOP Aerosol Feature Mask vertical curtain

plots• OMI UV Aerosol Index • GOCART Model data – AOD speciation (2x2.5

degree)

Trace Gases • OMI NO2 Tropospheric column (0.25x0.25 degree)

• AIRS CO and methane (profile and total column observations)

Giovanni: Tools for Air Quality Giovanni: Tools for Air Quality ApplicationsApplications

• Customized visualization of air quality events Temporal and geographical selection of data products:

- Latitude/longitude maps with overlay option - Time series plots - Hovmoller plots

• Long range transport of pollutants - Temporal Animation plots of air quality data products

MODIS AOD: Smoke over Central MODIS AOD: Smoke over Central AmericaAmerica

May 10May 10thth, 2007, 2007

• At least two daily At least two daily observations - Terra observations - Terra and Aquaand Aqua

• Sensitive to Sensitive to Boundary Layer Boundary Layer Industrial, smoke Industrial, smoke & dust aerosols & dust aerosols

• Well validated Well validated over landover land

• Fine mode Fine mode fractionfraction

Air Pollution Trends using MODIS Air Pollution Trends using MODIS AODAOD

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2003 – 2009 Costa Rica2003 – 2009 Costa Rica

Best air quality in Best air quality in winterwinter

Worse air quality Worse air quality in Spring and in Spring and SummerSummer

Air Pollution Trends using MODIS Air Pollution Trends using MODIS AODAOD

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2003 – 2009 2003 – 2009

Nicaragua, Honduras, El SalvadorNicaragua, Honduras, El Salvador

Best air quality Best air quality in winterin winter

Worse air Worse air quality in quality in Spring and Spring and early Summerearly Summer

Monthly MODIS AOD over Central Monthly MODIS AOD over Central AmericaAmerica

January 2007January 2007 February 2007February 2007

May 2007May 2007 June 2007June 2007

SmokeSmoke

DustDust

SmokeSmoke

OMI UV Aerosol Index: Smoke in OMI UV Aerosol Index: Smoke in Belize Guatemala, and HondurasBelize Guatemala, and Honduras

Mostly sensitive Mostly sensitive to absorbing to absorbing aerosols above aerosols above the planetary the planetary boundary layer , boundary layer , i.e. i.e. smoke smoke plumes and plumes and dustdust

You can also zoom in with Google You can also zoom in with Google EarthEarth

• Sensitive in the Boundary layer

• Qualitative agreement with high NOx regions (i.e urban areas)

• Not a real time product

OMI Tropospheric NOOMI Tropospheric NO22 Column ColumnDecember 2008December 2008

Customized views of NOCustomized views of NO22

Mexico and central AmericaMexico and central America

February 2008February 2008

Customized views of NOCustomized views of NO22

Greater quantities of

NO2 over urban areas

February 2008February 2008

Cloud-Aerosol Lidar and Infra-Red Pathfinder Satellite Observation

(CALIPSO) 3D Visualization of Air Pollution

• CALIPSO has a lidar that provides information about the vertical distribution of particles

• Useful in conjunction with column AOD• Spatial resolution (vertical): 30 – 60 m

• Temporal resolution: 16 days ± 20 – 50 km

Northern California Wildfires: June 23, 2008

Terra MODIS AOD

Terra MODIS True Color and AQI Color Codes

June 23, 2008532 nm Total Attenuated Backscatter

Calipso Curtain plot

Calipso and 3D-Visualization of Central American Biomass Burning – May 10th, 2007

Smoke plumes over Guatemala, El Smoke plumes over Guatemala, El Salvador, Honduras and southern MexicoSalvador, Honduras and southern Mexico

Optical Depth showing dense smoke Optical Depth showing dense smoke over Central America and Mexico.over Central America and Mexico.

CALIPSO vertical profileCALIPSO vertical profile aerosols within the boundary layeraerosols within the boundary layer

Now how do I acquire Now how do I acquire and generate Giovanni and generate Giovanni image visualizations ?image visualizations ?

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Instance Page Instance Page for Gridded datafor Gridded data

Description Description

Spatial SelectionSpatial Selection

Parameter Parameter SelectionSelection

Temporal Temporal SelectionSelectionVisualization Visualization SelectionSelection

Some instances have Some instances have vertical or wavelength vertical or wavelength selectionselection

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Spatial SelectionSpatial SelectionPanningPanning

ZoominZoomingg

Click to select a map Click to select a map layerlayer

Click and dragClick and drag

Type latitude and longitude coordinates and click Update Type latitude and longitude coordinates and click Update button button

Parameter SelectionParameter Selection

Select to display more product Select to display more product information information

Check to select a Check to select a parameterparameter

Click to hide the parameter Click to hide the parameter groupgroup

Check to select a group of Check to select a group of parametersparameters

Click to show parameter Click to show parameter descriptiondescription

Temporal SelectionTemporal Selection

Instances for monthly data have dropdown menu for Year and Month Instances for monthly data have dropdown menu for Year and Month selectionsselections

Instances for daily data have dropdown menu for Year, Month, and Day Instances for daily data have dropdown menu for Year, Month, and Day selections.selections.

Instances for hourly data have dropdown menu for Year, Month, Day, and Instances for hourly data have dropdown menu for Year, Month, Day, and Hour selections.Hour selections.

The example shown is The example shown is temporal selection for an temporal selection for an instance featuring 3-hourly instance featuring 3-hourly data.data.

Dropdown menus for Dropdown menus for Date and Time selections.Date and Time selections.

Visualization SelectionVisualization Selection

Click to select a Visualization (also Click to select a Visualization (also referred to as Analytical Function). “Lat-referred to as Analytical Function). “Lat-Lon Map, Time-averaged” is the common Lon Map, Time-averaged” is the common default option. default option.

Click to display the description of the Click to display the description of the selected Visualization (Analytical selected Visualization (Analytical Function).Function).

Giovanni Results Page Giovanni Results Page

Result navigation tabsResult navigation tabs• HomeHome• Result List Result List • Download DataDownload Data• Data Product LineageData Product Lineage• Acknowledgment Policy Acknowledgment Policy

ImagesImages Refine ConstraintsRefine Constraints

• Spatial selectionSpatial selection• Temporal selectionTemporal selection• Graphical preferencesGraphical preferences

Submit RefinementsSubmit Refinements

Results Page – Visualization Results Page – Visualization resultresult

Result Navigation TabsResult Navigation Tabs

Download DataDownload Data

Results Page – Downloading dataResults Page – Downloading data

Download Giovanni processed input Download Giovanni processed input datadata

Group check Group check boxesboxes

Download multiple Download multiple filesfiles

Result Result datadata

Image icons for single file Image icons for single file downloaddownload

KMZ files for Google KMZ files for Google EarthEarth

Giovanni A-Train: Obtaining CALIPSO KMZs for 3D-Visualization

Select A-Train Instance parameter(s)

Click on ‘Generate Visualization’ and…Calipso Curtain plot

Results Page - Acknowledgment Results Page - Acknowledgment Policy Policy

Acknowledging the use of Giovanni is very important to us and to Acknowledging the use of Giovanni is very important to us and to NASA.NASA. http://disc.sci.gsfc.nasa.gov/giovanni/Giovanni_usage_guidelines.shtml

How can I learn more How can I learn more about Air Quality about Air Quality

Applications of NASA Applications of NASA Earth Science data and Earth Science data and

Giovanni ??Giovanni ??• Check this web site regularly at http://aerocenter.gsfc.nasa.gov/asrs to find out about more workshops in 2009

on use of NASA Earth Science data sets and tools, including Giovanni

• Further info: Ana.I.Prados@nasa.gov

Activity 5: Using Giovanni for Analysis of Air Quality

Events• Participants should break into groups of 2.

• Each participant will be given a worksheet that describes the steps for using Giovanni to analyze an air quality event in Central America.

• Participants should work in their groups to complete the case study.

• The instructors will be available during the activity to help participants and answer questions.

• Goal: use Giovanni to analyze an air quality event.