Presentation is loading. Please wait.

Presentation is loading. Please wait.

Chapter 7: Using Giovanni for Analysis of Air Quality Events in Central America 11:00 – 12:00.

Published byChastity Burke Modified over 9 years ago

Similar presentations

Presentation on theme: "Chapter 7: Using Giovanni for Analysis of Air Quality Events in Central America 11:00 – 12:00."— Presentation transcript:

1 Chapter 7: Using Giovanni for Analysis of Air Quality Events in Central America 11:00 – 12:00

2 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/

3 Giovanni at your Finger Tips Giovanni at your Finger Tips  Only a Web browser is needed. needed.  No need to learn data formats and programming.  No need to download large amounts of data.  Customized data and analyses can be obtained with only a few mouse clicks.

4 Aerosol from MODIS and GOCART model Particulate Matter (PM 2.5) from AIRNow Ozone Hole from OMI Aerosol from GOCART model 10 -6 ppmv Carbon Monoxide from AIRS Water Vapor from AIRS MODIS vs SeaWiFS Chlorophyll Giovanni Instances CloudSat HIRDLS MLS OMI TRMM SeaWiFS AMSR-E HALOE TOMS Models Parasol CALIPSO Data Inputs MODIS AIRS MISR and more… Giovanni Tools Giovanni Data

5 Giovanni Air Quality Data Products and Applications

6 Giovanni 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 NO 2 Tropospheric column (0.25x0.25 degree) AIRS CO and methane (profile and total column observations)

7 Giovanni: Tools for Air Quality Applications 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

8 MODIS AOD: Smoke over Central America May 10 th, 2007 May 10 th, 2007 At least two daily observations - Terra and Aqua At least two daily observations - Terra and Aqua Sensitive to Boundary Layer Industrial, smoke & dust aerosols Sensitive to Boundary Layer Industrial, smoke & dust aerosols Well validated over land Well validated over land Fine mode fraction Fine mode fraction

9 Air Pollution Trends using MODIS AOD 9 2003 – 2009 Costa Rica 2003 – 2009 Costa Rica Best air quality in winter Worse air quality in Spring and Summer

10 Air Pollution Trends using MODIS AOD 10 2003 – 2009 2003 – 2009 Nicaragua, Honduras, El Salvador Best air quality in winter Worse air quality in Spring and early Summer

11 Monthly MODIS AOD over Central America January 2007 January 2007 February 2007 February 2007 May 2007 June 2007 Smoke Dust Smoke

12 OMI UV Aerosol Index: Smoke in Belize Guatemala, and Honduras Mostly sensitive to absorbing aerosols above the planetary boundary layer, i.e. smoke plumes and dust

13 You can also zoom in with Google Earth You can also zoom in with Google Earth

14 Sensitive in the Boundary layer Qualitative agreement with high NO x regions (i.e urban areas) Not a real time product OMI Tropospheric NO 2 Column December 2008

15 Customized views of NO 2 Mexico and central America February 2008

16 Customized views of NO 2 Greater quantities of NO 2 over urban areas February 2008

17 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

18 Northern California Wildfires: June 23, 2008 Terra MODIS AOD Terra MODIS True Color and AQI Color Codes

19 June 23, 2008532 nm Total Attenuated Backscatter

20 Calipso Curtain plot

21 Calipso and 3D-Visualization of Central American Biomass Burning – May 10 th, 2007 Smoke plumes over Guatemala, El Salvador, Honduras and southern Mexico Optical Depth showing dense smoke over Central America and Mexico. CALIPSO vertical profile CALIPSO vertical profile aerosols within the boundary layer aerosols within the boundary layer

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

23 23 Instance Page for Gridded data Description Spatial Selection Parameter Selection Temporal Selection Visualization Selection Some instances have vertical or wavelength selection

24 24 Spatial Selection Panning Zooming Click to select a map layer Click and drag Type latitude and longitude coordinates and click Update button

25 Parameter Selection Select to display more product information Check to select a parameter Click to hide the parameter group Check to select a group of parameters Click to show parameter description

26 Temporal Selection  Instances for monthly data have dropdown menu for Year and Month selections  Instances for daily data have dropdown menu for Year, Month, and Day selections.  Instances for hourly data have dropdown menu for Year, Month, Day, and Hour selections. The example shown is temporal selection for an instance featuring 3-hourly data. Dropdown menus for Date and Time selections.

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

28 Giovanni Results Page  Result navigation tabs HomeHome Result ListResult List Download DataDownload Data Data Product LineageData Product Lineage Acknowledgment PolicyAcknowledgment Policy  Images  Refine Constraints Spatial selectionSpatial selection Temporal selectionTemporal selection Graphical preferencesGraphical preferences  Submit Refinements

29 Results Page – Visualization result Results Page – Visualization result Result Navigation Tabs Download Data

30 Results Page – Downloading data Download Giovanni processed input data Group check boxes Download multiple files Result data Image icons for single file download KMZ files for Google Earth

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

32 Select A-Train Instance parameter(s)

33 Click on ‘Generate Visualization’ and… Calipso Curtain plot

34 Results Page - Acknowledgment Policy Acknowledging the use of Giovanni is very important to us and to NASA. http://disc.sci.gsfc.nasa.gov/giovanni/Giovanni_usage_guidelines.shtml http://disc.sci.gsfc.nasa.gov/giovanni/Giovanni_usage_guidelines.shtmlhttp://disc.sci.gsfc.nasa.gov/giovanni/Giovanni_usage_guidelines.shtml

35 How can I learn more about Air Quality Applications of NASA Earth Science data and 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

36 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.

Download ppt "Chapter 7: Using Giovanni for Analysis of Air Quality Events in Central America 11:00 – 12:00."

Similar presentations

Improving the View of Air Quality from Space Jim Crawford Science Directorate NASA Langley.

Improving the View of Air Quality from Space Jim Crawford Science Directorate NASA Langley.
The North American Carbon Program Google Earth Collection Peter C. Griffith, NACP Coordinator; Lisa E. Wilcox; Amy L. Morrell, NACP Web Group Organization:

The North American Carbon Program Google Earth Collection Peter C. Griffith, NACP Coordinator; Lisa E. Wilcox; Amy L. Morrell, NACP Web Group Organization:
GEOS-5 Simulations of Aerosol Index and Aerosol Absorption Optical Depth with Comparison to OMI retrievals. V. Buchard, A. da Silva, P. Colarco, R. Spurr.

GEOS-5 Simulations of Aerosol Index and Aerosol Absorption Optical Depth with Comparison to OMI retrievals. V. Buchard, A. da Silva, P. Colarco, R. Spurr.
A Tutorial on MODIS and VIIRS Aerosol Products from Direct Broadcast Data on IDEA Hai Zhang 1, Shobha Kondragunta 2, Hongqing Liu 1 1.IMSG at NOAA 2.NOAA.

A Tutorial on MODIS and VIIRS Aerosol Products from Direct Broadcast Data on IDEA Hai Zhang 1, Shobha Kondragunta 2, Hongqing Liu 1 1.IMSG at NOAA 2.NOAA.
A Dictionary of Aerosol Remote Sensing Terms Richard Kleidman SSAI/NASA Goddard Lorraine Remer UMBC / JCET Short.

A Dictionary of Aerosol Remote Sensing Terms Richard Kleidman SSAI/NASA Goddard Lorraine Remer UMBC / JCET Short.
Using NASA’s Giovanni System to Detect and Monitor Saharan Dust Outbreaks James G. Acker NASA Goddard Earth Sciences Data and Information Services Center.

Using NASA’s Giovanni System to Detect and Monitor Saharan Dust Outbreaks James G. Acker NASA Goddard Earth Sciences Data and Information Services Center.
NASA Trace Gas Products for Air Quality Applications NASA Remote Sensing Training September 2014 ARSET Applied Remote SEnsing Training A project of NASA.

NASA Trace Gas Products for Air Quality Applications NASA Remote Sensing Training September 2014 ARSET Applied Remote SEnsing Training A project of NASA.
Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.

Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.
Measurement of the Aerosol Optical Depth in Moscow city, Russia during the wildfire in summer 2010 DAMBAR AIR.

Measurement of the Aerosol Optical Depth in Moscow city, Russia during the wildfire in summer 2010 DAMBAR AIR.
Infusing satellite Data into Environmental Applications (IDEA): PM2.5 forecasting tool hosted at NOAA NESDIS using NASA MODIS (Moderate Resolution Imaging.

Infusing satellite Data into Environmental Applications (IDEA): PM2.5 forecasting tool hosted at NOAA NESDIS using NASA MODIS (Moderate Resolution Imaging.
Infusing satellite Data into Environmental Applications (IDEA): R. Bradley Pierce NOAA/NESDIS/STAR PM2.5 forecasting tool hosted at NOAA NESDIS using NASA.

Infusing satellite Data into Environmental Applications (IDEA): R. Bradley Pierce NOAA/NESDIS/STAR PM2.5 forecasting tool hosted at NOAA NESDIS using NASA.
Giovanni Facilitates Investigations of Coastal Environmental Processes with NASA Remote-Sensing Data James G. Acker NASA Goddard Earth Sciences Data and.

Giovanni Facilitates Investigations of Coastal Environmental Processes with NASA Remote-Sensing Data James G. Acker NASA Goddard Earth Sciences Data and.
Satellite Imagery ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Introduction to Remote Sensing and Air Quality Applications.

Satellite Imagery ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Introduction to Remote Sensing and Air Quality Applications.
Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –

Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.

1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
05/10/06G.Leptoukh, GES DISC seminar1 Exploring the Earth Sciences data with Giovanni Gregory Leptoukh Code 610.2, GES DISC

05/10/06G.Leptoukh, GES DISC seminar1 Exploring the Earth Sciences data with Giovanni Gregory Leptoukh Code 610.2, GES DISC
Space Borne and Ground Based Lidar NASA ARSET- EPA Training ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied.

Space Borne and Ground Based Lidar NASA ARSET- EPA Training ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied.
An Overview of Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences Originally presented as part.

An Overview of Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences Originally presented as part.
Obtaining MISR Data and Information Jeff Walter Atmospheric Science Data Center April 17, 2009.

Obtaining MISR Data and Information Jeff Walter Atmospheric Science Data Center April 17, 2009.
Using NASA’s Giovanni System to Detect and Monitor Saharan Dust Outbreaks James G. Acker NASA Goddard Earth Sciences Data and Information Services Center.

Using NASA’s Giovanni System to Detect and Monitor Saharan Dust Outbreaks James G. Acker NASA Goddard Earth Sciences Data and Information Services Center.

Similar presentations

Ads by Google