Giovanni-4: The Next Generation - NASA · Giovanni-4: The Next Generation C Lynnes, M Hegde, C...

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Transcript of Giovanni-4: The Next Generation - NASA · Giovanni-4: The Next Generation C Lynnes, M Hegde, C...

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Giovanni-4:

The Next Generation

C Lynnes, M Hegde, C Smit, D DaSilva, K Bryant, P. Zhao, Z. Liu, S. Shen,

A. Savtchenko, W. Teng, J. Wei, J. Acker

https://ntrs.nasa.gov/search.jsp?R=20160005868 2018-09-08T00:55:37+00:00Z

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Outline

• Overview of Giovanni

• New and Notable Features

• Discussion?

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Giovanni and “Big Data”

WRITE CODE

Select Data

Find

Download

Learn format

Read

Summarize / Analyze

Analyze

Quality Filter

Subset

Publish

Derive Conclusions

Visualize

Exploratory Data Analysis

Main Analysis

Phase

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Why So Difficult?

WRITE CODE

Select Data

Find

Download

Learn format

Read

Summarize / Analyze

Analyze

Quality Filter

Subset

Publish

Derive Conclusions

Visualize

Exploratory Data Analysis

Main Analysis

Phase

FTP Data Products up to 1 GB Volume

Summarize data over long time periods, large areas

Volume

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Why So Difficult?

WRITE CODE

Select Data

Find

Download

Learn format

Read

Summarize / Analyze

Analyze

Quality Filter

Subset

Publish

Derive Conclusions

Visualize

Exploratory Data Analysis

Main Analysis

Phase

2000+ datasets Variety

HDF4, HDF5, HDF-EOS2, HDF-EOS5, netCDF, GRIB, binary

Variety

Files up to 800+ variables Variety

Locate, read, use geolocation info Variety

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Remote Sensing Science: Why So Difficult?

WRITE CODE

Select Data

Find

Download

Learn format

Read

Summarize / Analyze

Analyze

Quality Filter

Subset

Publish

Derive Conclusions

Visualize

Exploratory Data Analysis

Main Analysis

Phase

FTP Data Products up to 1 GB

HDF4, HDF5, HDF-EOS2, HDF-EOS5, netCDF, GRIB, binary

Files up to 800+ variables

More studying, coding

Locate, read, use geolocation info

Volume

Variety

Variety

Veracity

Variety

2000+ datasets Variety

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Giovanni provides (relatively) rapid exploration of datasets

WRITE CODE

Select Data

Find

Download

Learn format

Read

Summarize / Analyze

Analyze

Quality Filter

Subset

Publish

Derive Conclusions

Visualize

Exploratory Data Analysis

Main Analysis

Phase

Giovanni provides Server-Side, Quick-Start

Exploratory Data Analysis:

no coding necessary

no downloads necessary

Web-based Services

Gio

vann

i

Find

Fetch

Reformat

Filter

Regrid

Summarize

Visualize

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What’s New?

• Giovanni-4, relative to Giovanni-3 – Omnibus Giovanni Portal

– Federated Giovanni

– Variable selection interface

– Sharable/reproducible URLs

• New in Giovanni-4 – More comparison functions

– Vector Plots

– Seasonal Analysis

– Shapefile-based Area Averages

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Omnibus Portal

• All variables in one portal

– Compare across instruments and disciplines

– Caveat: Multi-temporal comparisons not yet supported

• However: Requires more navigational aids

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Federated Giovanni will further increase the availability of data in Giovanni

• Ongoing now: Funded by NASA-ACCESS: 2014-2016

• Eventual release of source and Virtual Machine to the community

MODAPS

Giovanni

GDAAC

Giovanni

LP DAAC

Giovanni

OBPG

Giovanni

PO DAAC

Giovanni

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MODIS NDVI from LP DAAC

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SST from PO.DAAC

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Giovanni-4 User Interface

Sortable columns

Search with Autosuggest

Faceted Browse

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Keyword search on precipitation

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Reset with button or by clearing search

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Selecting a Discipline “Facet”

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Selecting a Discipline “Facet”

16

Number of matching variables: 16 of 219

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Narrow by selecting more facets

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Selecting variables leads to hints on date range

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Selecting variables leads to hints on date range

Valid Range: 1997-12-31 to 2014-08-31

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You can also sort on columns

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Spatial and temporal resolution facets are also available

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Giovanni-4 selections are encoded in the URL Making them Sharable and Reproducible

http://giovanni.gsfc.nasa.gov/giovanni/#

service=INTERACTIVE_MAP&

starttime=2001-01-01T00:00:00Z&

endtime=2001-01-31T23:59:59Z&

bbox=-124.4531,24.2578,-68.2031,52.3828&

data=MOD08_D3_051_Optical_Depth_Land_And_Ocean_Mean&

variableFacets=dataFieldDiscipline%3AAerosols%3B

Service

Time Range

Bounding Box

Data Variable

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Service

Time Range

Bounding Box

Data Variable

Giovanni-4 URLs are Sharable and Reproducible

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Data comparison services to compare similar datasets

• Correlation Map

• Difference of Time-Averaged Maps

• Time Averaged Scatterplot

• Area Averaged Scatterplot

• Time Series of Differences of Area Averages

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2010-2011

Correlation Map: TRMM Rainfall Versions 6 vs. 7

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Difference of Time-Averaged Maps

• LPRM from X-band is more affected by vegetation than by C. This difference map shows that C and X don't differ that much when the surface is bare to sparsely vegetated, but do differ when the surface is more densely vegetated and soil moisture retrieval becomes problematic. (Courtesy Bill Teng)

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MODIS NDVI from LP DAAC

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New Services

• Vector Plots

• Seasonal Analysis

– User-defined Climatology

– Interannual Time Series

• Shapefile-based Area Average Time Series

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Vector Plots

• Available for some wind-related variables

– More coming soon…

• Time Averaged Map service only

• Computes averages of U and V, then vector magnitude + direction

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Vector Plots (Time-Averaged Map)

Wind Stress

Dec 1997 (El Nino)

Dec 2000 (La Nina)

Courtesy Chung-Lin Shie

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User-Defined Climatology

Available for Monthly data Aggregate by Month or Meteorological Season (DJF, MAM, JJA, SON)

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User-Defined Climatology

Click Here to Repeat

March, 2001-2013

September, 2001-2013

MODIS Monthly AOD

Comparison of aerosol regimes in March vs. Sept. over 2001-2013. (Courtesy Suhung Shen)

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Seasonal Analysis: Interannual Time Series

• Available for Monthly data

• Plot the area average for <month> for the years <start> to <end>

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Shapefile Support

• Area-Averaged Time Series

• Coming soon…time-averaged map, histogram

• Limitations: does not work across dateline

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Shapefile-based Area Averaged Time Series

Compute average over area, weighted by % coverage by shape and cos(lat)

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Shapefile-based Area Averaged Time Series

TRMM Rainfall for Oct. 2012, showing Hurricane Sandy landfall. (Courtesy Zhong Liu)

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Shapefile based Computation of MODIS-Terra Monthly AOD

U.S.

China

Courtesy Jennifer Wei

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Giovanni 4 Performance

0

500

1000

1500

2000

0 500 1000 1500 2000 2500 3000

Ela

pse

d S

eco

nd

s

Days of Data

Time Averaged Map

G4

G3

0

2000

4000

6000

8000

0 100 200 300 400 500 600 700 800

Elap

sed

Se

con

ds

Days of Data

Area-averaged Time Series

G4

G3

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DISCUSS…

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Features Still on the TO DO list

Pre-computed Climatology (up next) OMI Level 2G Level 2 data support Cross sections (Z-Lat, Z-Lon, Z-Time) Time series of area statistics Zonal mean Multi-variable plots (overlays) Web Coverage Service interface MyGiovanni: user-contributed color palettes, shapefiles,

data, algorithms Geometric Mean Units conversion More download options (KMZ, more ASCII, batch)

Your input can help us prioritize them

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Giovanni was designed for exploratory data analysis…

WRITE CODE

Select Data

Find

Download

Learn format

Read

Summarize / Analyze

Analyze

Quality Filter

Subset

Publish

Derive Conclusions

Visualize

Exploratory Data Analysis

Main Analysis

Phase

Web-based Services

Gio

vann

i Find

Fetch

Reformat

Filter

Regrid

Summarize

Visualize

1. …Should Giovanni evolve to support the Main Analysis Phase better? 2. What modifications would enhance “scientific rigor”?