National Marine Educators Association Annual Meeting 2006
This presentation is the property of its rightful owner.
Sponsored Links
1 / 22

Giovanni and LOCUS: Innovative Ways for Teachers and Students to Conduct Online Learning and Research with Oceanographic Remote Sensing Data PowerPoint PPT Presentation


  • 49 Views
  • Uploaded on
  • Presentation posted in: General

National Marine Educators Association Annual Meeting 2006 New York City July 17, 2006. Giovanni and LOCUS: Innovative Ways for Teachers and Students to Conduct Online Learning and Research with Oceanographic Remote Sensing Data. James G. Acker NASA Goddard Space Flight Center

Download Presentation

Giovanni and LOCUS: Innovative Ways for Teachers and Students to Conduct Online Learning and Research with Oceanographic Remote Sensing Data

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

National Marine Educators Association Annual Meeting 2006

New York City

July 17, 2006

Giovanni and LOCUS: Innovative Ways for Teachers and Students to Conduct

Online Learning and Research with Oceanographic Remote Sensing Data

James G. Acker

NASA Goddard Space Flight Center

Earth Sciences Data and Information Services Center

(GES DISC)

Code 610.2

Greenbelt, MD 20771

[email protected]


Goals for this demonstration

Goals for this demonstration:

  • To provide several examples of how the GES DISC Interactive Online Visualization AN aNalysis Infrastructure (Giovanni) can be used to investigate oceanographic phenomena

  • To introduce the Laboratory for Ocean Color Users (LOCUS)


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

What is Giovanni ??

Giovanni is a Web-based data exploration system that enables rapid data access, analysis, and visualization online – users do not have to download data files to their own system before initiating analysis and research

Ocean Color Giovanni contains data from the

SeaWiFS and MODIS-Aqua missions; other

“instances” of Giovanni have data from other

satellite missions, and supplemental data sets


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

  • SeaWiFS – the Sea-viewing Wide Field-of-view Sensor, and MODIS-Aqua, the Moderate Resolution

    Imaging Spectroradiometer on the Aqua satellite,

    provide ocean color data to Giovanni. The primary data of interest is chlorophyll a concentration

    (chl a), though additional data products are available.

  • MODIS-Aqua also provides sea surface temperature (SST) data.

  • This demonstration will utilize chl a and SST data.


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

  • The main components of the Giovanni interface

  • are:

  • interactive map for region-of-interest selection;

  • menu of available data products;

  • calendar menu for time-period selection;

  • menu of visualization options;

  • visualization-specific options (color palette, axis values);

  • menu of output options


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

URL for Ocean Color Giovanni:

http://reason.gsfc.nasa.gov/Giovanni/

(This instance of Giovanni was funded partly by a NASA REASoN CAN project, the Ocean Color Time-Series Project)

Entry Page:

MODIS-Aqua Monthly products

SeaWiFS Monthly products

SeaWiFS 8-day products (new!)

SeaWiFS and MODIS-Aqua

Multi-parameter Inter-

Comparison (Monthly)


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Demonstration Project 1: Peru Upwelling Zone

Goal: Visualize chlorophyll concentrations in a

selected region-of-interest

Lat-lon

values may

be entered

instead of

click-and-

drag

Select region-

of-interest with

click-and-drag

Select parameter:

Chlorophyll a

concentration

is the default

selection

Data Types:

Parameter

Animation

Climatology


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Visualization and Plotting Options

Plot types: Lat-Lon map; Animation; Time-Series; Hovmöller plots

Time period

selection

Y-axis

plotting options

Color

palette

options

Output options:

Numeric (ASCII)

data can be

chosen

Data files with

increased spatial

resolution can

be ordered

Steps: 1. Keep all default options

2. Select any time period in mission range

(Example: January 2001 to December 2001)

3. Click “Generate plot”


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Peru Upwelling Zone, January-December 2001

Output:

Image is the average of all chlorophyll concentration values for the entire 2001 year. The image provides lat/lon information and a color bar scale. It can be downloaded immediately.


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Demonstration Project 2: Arabian Sea Monsoon

  • Goals:

  • Create an animation of the Arabian Sea monsoon

    with SeaWiFS 8-day data;

  • Create a time-series of chl a in the Arabian Sea

  • Steps:

  • 1. “Back” to entry page

  • Choose SeaWiFS 8-day data

  • 3. Select the region

  • Select Animation

  • Select a year

  • Click “Generate Plot”

Region

Animation

Year


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Animation output: selected frame

Images can be stepped through (+1, -1) or whole animation can be

viewed


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Arabian Sea Monsoon: Time-Series

  • Choose a smaller area within the Arabian Sea (try the “Zoom In” button)

  • Select “Time Series” under

  • Plot Type

  • Click “Generate

  • Plot”

  • (I chose an area off the coast of Somalia to generate the demonstration plot)


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Arabian Sea Monsoon: Time-Series Output

Note that values in this time period may be suspect due to cloud cover

The Y-axis can

be “customized”

to emphasize

features in the data,

or to make several

plots with the same

axis range, to enable

comparisons.

The default option,

a “dynamic” Y-axis,

is based on the

range of values

in the data.


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Demonstration Project 3: Central America

(Wind-driven productivity and El Niño anomalies)

Goal: Create chl a anomaly plots and Hovmöller plots

First: “Back” to entry page; select SeaWiFS Monthly data. Then:

  • Choose the Region

  • Select February

  • 2000

  • Generate the

  • Lat/Lon map

  • Change “Data

  • Type” to Anomaly

  • Change the month

  • to February 1998

  • Generate the

  • Lat/Lon map

  • Choose a region

  • inside a jet

  • Change “Data Type”

  • to “Time-Lon

  • Hovmöller,

  • Lat-Averaged”

  • 9. Choose Oct 97-Dec 2000

  • 10. Generate the plot


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Demonstration Project 3: Central America (Wind-driven productivity and El Niño anomalies) Output

Productivity driven by gap winds dominates

this region during normal winter months

During the 1997-1998 El Niño, productivity

was markedly suppressed due to increased

thermocline depth (negative anomalies are

blue and purple)

Jets

The Hovmöller plot demonstrates the

seasonality of the phenomenon and the

effect of the 1997-1998 El Niño


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Demonstration Project 4: North Atlantic Bloom

(Multi-parameter intercomparison Part 1)

Goal: Create

a two-parameter

time plot

The next two

demonstrations

utilize the Multi-

Parameter

Intercomparison

System


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Demonstration Project 4: North Atlantic Bloom

(Multi-parameter intercomparison Part 1)

Region

For the time period,

select a full year of

data. MODIS-Aqua

data begin in 2002;

try Jan-Dec 2003.

Select “Time plot of

area-averaged

parameters”

Select SeaWiFS chl a

and MODIS-Aqua

SST


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Demonstration Project 4: North Atlantic Bloom

(Multi-parameter intercomparison Part 1) Output

Students may think that the North Atlantic Bloom is related to warmer

ocean temperatures; a plot like this may force modification of that idea


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Demonstration Project 5: Benguela Upwelling Zone

(Chl a vs. SST scatter plots)

Goal: Create a

Chl a vs. SST

scatter plot

Region

Plot type: select

“Scatter plot of

parameters in selected

area and time period”

(Area plot is also

interesting)

Select

SeaWiFS chl a

and Aqua SST


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Demonstration Project 5: Benguela Upwelling Zone

(Chl a vs. SST scatter plots) Output

The area plot of chl a (color)

and SST (contour lines) shows

the colder temperatures

are near the coast, as are the

higher chl a values

The chl a vs. SST scatter plot shows that

lower SST is associated with higher

chl a in the upwelling zone


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

The Laboratory for Ocean Color Users (LOCUS)

The URL for the Laboratory for Ocean Color Users:

http://disc.gsfc.nasa.gov/oceancolor/locus/index.shtml

  • LOCUS currently features

  • recent articles;

  • Educational Modules illustrating basic concepts; and

  • Tutorials combining research and data aspects.

  • LOCUS needs:

  • more research projects!

  • LOCUS is ready to become collaborative at several levels

  • of expertise – experts can be consulted to assist with

  • research projects. We need “researchers” – especially

  • educators and students – to ask questions and provide

  • research project examples.


Giovanni and locus innovative ways for teachers and students to conduct online learning and research with oceanographic remote sensing data

Thanks for coming to the presentation and

demonstration!

Any questions?


  • Login