reason scign org 1. MOSES Concept Links Data...

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This project is funded by the National Aeronautics and Space Administration (http://reason.scign.org) 0. Abstract 0. Abstract SCIGN-REASoN/ SENH GPS/Seismic QuakeSIM RDAHMM High-fidelity deformation database Metadata Positions Real-Time Displacements Time series Velocity maps Strain maps Quality control Deformation modeling utilities . . . Inversion Validation Servo-Grid QuakeSIM portal st_filter SCIGN portal ACCESS Web services enabled direct interaction between modeler and data provider Utility feeds-back data quality parameters to database Use of high-level data production tools for modeling Unified portal architecture Scientists Researchers Surevyors Decision Makers Non-Access Dev. Access Dev. GPS/Seismic Meter 1. MOSES Concept Links Data Products 1. MOSES Concept Links Data Products with Geophysical Modeling Tools with Geophysical Modeling Tools 241¡Ê 243¡Ê 33¡Ê 240¡Ê 242¡Ê 244¡Ê 34¡Ê 100% -0.025 -0.020 -0.015 -0.010 -0.005 -0.000 0.005 0.010 0.015 0.020 0.025 Scaled PC (m) 2000 2001 2002 2003 2004 2005 Year 0 100 200 300 400 500 600 700 800 -5 0 5 10 0 100 200 300 400 500 600 700 800 -2 -1 0 1 2 0 100 200 300 400 500 600 700 800 -4 0 2 -2 Vertical disp. (cm) N-S disp. (cm) E-W disp. (cm) Class 1 Class 1 Class 2 Class 2 Class 3 Class 3 Class 5 Class 5 Class 6 Class 6 Class 7 Class 7 Observation Day RDAHMM time series segmentation results for SCIGN GPS data collected in Cla remont, CA. The method automatically identifies all of the major modes of the system. This c apabili- tyis used to identify both real physical events and data anomalies. Archived GPS d ata can be augmented by notation of these behavior modes. st_filter Principal Component (PC) Analysis of common-mode error in vertical compo- nent. The arrows represent the element values of the normalized eigenvectors. The up and down arrows represent positive and negative responses to the scaled PC. Time va riations are in upper panel (solid line) and normalized spatial eigenvectors are in lower panel. . 4c. On-the-fly Modeling Bock, Yehuda (SIO), Frank Webb (JPL), Sharon Kedar (JPL), Marlon Pierce (IU), Michael Bock, Yehuda (SIO), Frank Webb (JPL), Sharon Kedar (JPL), Marlon Pierce (IU), Michael Scharber (SIO), Don Argus (JPL), Galip Aydin (IU), Ruey-Juin Chang (SIO), Danan Scharber (SIO), Don Argus (JPL), Galip Aydin (IU), Ruey-Juin Chang (SIO), Danan Dong (JPL), Peng Fang (SIO), Robert Granat (JPL), Paul Jamason (SIO), Brian Newport Dong (JPL), Peng Fang (SIO), Robert Granat (JPL), Paul Jamason (SIO), Brian Newport (JPL), Sue Owen (JPL), Jay Parker (JPL), Linette Prawirodirdjo (SIO), Keith Stark (JPL), (JPL), Sue Owen (JPL), Jay Parker (JPL), Linette Prawirodirdjo (SIO), Keith Stark (JPL), Frank Vernon (SIO), George Wadsworth (SIO), Zhigang Qi (IU) Frank Vernon (SIO), George Wadsworth (SIO), Zhigang Qi (IU) We are in the process of merging the capabilities of three NASA-funded projects We are in the process of merging the capabilities of three NASA-funded projects under the umbrella of the NASA Access Project, "M under the umbrella of the NASA Access Project, "Modeling and On-the-fly Solutions odeling and On-the-fly Solutions for Solid Earth Sciences (MOSES) for Solid Earth Sciences (MOSES)to facilitate data mining and modeling of rapidly to facilitate data mining and modeling of rapidly expanding multi-disciplinary geoscience data sets:(1) The SCIGN-REASoN project is expanding multi-disciplinary geoscience data sets:(1) The SCIGN-REASoN project is focused on the combination, validation, archive, and delivery of high-level data focused on the combination, validation, archive, and delivery of high-level data products and data mining capabilities from space geodetic measurements, in products and data mining capabilities from space geodetic measurements, in particular from over 600 CGPS stations in Western N.A.;(2) The QuakeSim project is particular from over 600 CGPS stations in Western N.A.;(2) The QuakeSim project is developing linked Web service environments for sup-porting high performance developing linked Web service environments for sup-porting high performance models of crustal deformation from a variety of geo-physic models of crustal deformation from a variety of geo-physical sensors, including GPS al sensors, including GPS and seismic instruments;(3) The SENH-Applications GPS/Seismic integration project and seismic instruments;(3) The SENH-Applications GPS/Seismic integration project has developed a proto-type real-time GPS/seismic displacement meter for seismic has developed a proto-type real-time GPS/seismic displacement meter for seismic hazard mitigation and monitoring of critical infrastructure. hazard mitigation and monitoring of critical infrastructure. The focus of the MOSES project is to enable direct interaction between modelers The focus of the MOSES project is to enable direct interaction between modelers and data/data-product providers using Web services, within a unified portal archi- and data/data-product providers using Web services, within a unified portal archi- tecture. Modeling applications include, for example, time series analysis of continu- tecture. Modeling applications include, for example, time series analysis of continu- ous and r ous and real-time data (e.g., RDAHMM and st_filter programs) and fault dislocation eal-time data (e.g., RDAHMM and st_filter programs) and fault dislocation modeling (e.g., Simplex program). Community resources include access to exten- modeling (e.g., Simplex program). Community resources include access to exten- sive infrastructure and distributed data archive holdings, an on-line map sive infrastructure and distributed data archive holdings, an on-line map server/client linked to a GIS database, a "GPS Explorer" data portal that is extensible server/client linked to a GIS database, a "GPS Explorer" data portal that is extensible to heterogeneous data sets, and "Geophysical Resource Web Services." We present to heterogeneous data sets, and "Geophysical Resource Web Services." We present an interactive display of the current capabilities of the unified data portal and solicit an interactive display of the current capabilities of the unified data portal and solicit feedback from communit feedback from community members. y members. Integration Event detection Pattern recognition Attached processes Zero latency http://reason.scign.org Maps Timeseries Velocities Strain Metadata 4 3 5 Files DB submission handling request handling resource submission using SOAP ticket creation using SOAP a b d j k l g h i tbd f e m n o q p c r a b d e c % Direct SOAP-enabled client Basic HTTP GET -enabled client CGI request-response using server-side Web Services proxy SOAP request-response S O A P b .1. f g h i j k a k l l .2. .3. .5. .6. .4. 2 1 0 3 0 1 2 Repository st_filter T Combined ime Series V y elocit Field SOPAC Time Series JPL Time Series Strain Geophysical Parameters Flexibility XSLT CGI Proxies Shell Script Wrappers Security Authentication Session tracking Location independent Distributed Analyses Scalable provider tier Common product formats Fast re-processing Network reconfiguration Centralized Storage Oracle RDBMS Common data models Well-defined integrity constraints Validation XML Schema OGC Standards GML Filter Encoding WFS WMS Exploration Visualization Extraction Subscription User notification Summarization Education Time Series Modeling Applications Data Analysis & Modeling Environment 3. Using Geophysical Resources Web Services (GRWS) Infrastructure archived Products and Tools are integrated through web services to the Portal ~1800 CGPS sites/metadata archived daily, including all PBO and many CORS ~ 75% in Western Hemisphere ~85 sites streaming @ 1 Hz (CRTN) ~ 3M ftp retrievals/month/~ 1 Hz (1 file/s) All CGPS data and data products collected since early 1990’s on-line SO SOP AC Archiv AC Archive 1. Extensive Infrastructure, Data Archive 2. On-line Map Server/Client, linked to GIS Database and Resources 3. GPS Explorer Data Portal Ð extensible to display and manipulation of heterogeneous data sets (e.g., seismic, strainmeter, geology, InSAR 4. Geophysical Resource Web Services (GRWS) 2. This includes access to our archive, 2. This includes access to our archive, an extensive Community Resource an extensive Community Resource with data and data products with data and data products Earth Science Community IT Resources through a Unified Data Analysis and Modeling Portal 4a. SOPAC Online Mapping Interface (SOMI) http://ex.ucsd.edu/maps geoapp.ucsd.edu ex.ucsd.edu CSS HTML JS CGI Examples of SOMI-generated maps Examples of SOMI-generated maps embedded in Web pages embedded in Web pages 4. The GPS Explorer Portal contains mapping and modeling tools for 4. The GPS Explorer Portal contains mapping and modeling tools for (real-time) GPS data products (real-time) GPS data products 5. Users get logins to the portal where they can select, explore, and model the data products and save their results for future sessions. Tool development, implementation, and output functions are being extended. Compositions Maps Themes Layers db GIPSY GAMIT User Markup SOMI Service Host Architecture and interfaces allow other analysis centers to 4b. Application Integration with Real- Real- Time Filters for GPS Time Filters for GPS Streams Streams Combines Geospatial Data with Time S eries Inter-portlet communication used to pass information Clicking on site in SOMI shows information and adds site to analysis group Site S election using bounding box, metadata criteria, etc. Selected sites can be saved and passed on to other portlets for processing Linked with Geophysical Modeling Applications Allowing Direct Interaction between Modeler & Data P rovider via Data Analysis & Modeling Portal Infrastructure uses gridsphere portal server, inter-web 2.0 functionality via AJAX and back-end web services The real-time RDAHMM plots available via SOMI. Portlets are JSR-168 portlet specification compliant, and exportable to other portal servers WFS

Transcript of reason scign org 1. MOSES Concept Links Data...

Page 1: reason scign org 1. MOSES Concept Links Data …dsc.soic.indiana.edu/presentations/AGU06_final.pdf · This project is funded by the National Aeronautics and Space Administration ()

This project is funded by the National Aeronautics and Space Administration

(http://reason.scign.org)

0. Abstract0. Abstract

SCIGN-REASoN/SENH GPS/Seismic

QuakeSIM

RDAHMM

High-fidelitydeformation database

MetadataPositionsReal-Time DisplacementsTime seriesVelocity mapsStrain mapsQuality control

Deformation modelingutilities

.

.

.Inversion ValidationServo-Grid

QuakeSIM portalst_filter

SCIGN portal

ACCESS

Web services enableddirect interaction betweenmodeler and data provider

Utility feeds-back dataquality parameters to

database

Use of high-leveldata production tools

for modeling

Unified portal architecture

ScientistsResearchers

SurevyorsDecision Makers

Non-Access Dev.

Access Dev.

GPS/Seismic Meter

1. MOSES Concept Links Data Products 1. MOSES Concept Links Data Products with Geophysical Modeling Toolswith Geophysical Modeling Tools

Prototype GPS Explor-

241¡Ê 243¡Ê

33¡Ê

240¡Ê 242¡Ê 244¡Ê

34¡Ê

100%

-0.025-0.020-0.015-0.010-0.005-0.0000.0050.0100.0150.0200.025

Scal

ed P

C (

m)

2000 2001 2002 2003 2004 2005

Year

0 100 200 300 400 500 600 700 800-5

0

5

10

0 100 200 300 400 500 600 700 800-2

-1

0

1

2

0 100 200 300 400 500 600 700 800-4

0

2

-2

Ver

tical

dis

p. (

cm)

N-S

dis

p. (

cm)

E-W

dis

p. (

cm)

Class 1Class 1Class 2Class 2Class 3Class 3

Class 5Class 5Class 6Class 6Class 7Class 7

Observation Day

RDAHMM time series segmentation results for SCIGN GPS data collected in Claremont, CA. The method automatically identifies all of the major modes of the system. This capabili-tyis used to identify both real physical events and data anomalies. Archived GPS data can be augmented by notation of these behavior modes.

st_filter Principal Component (PC) Analysis of common-mode error in vertical compo-nent. The arrows represent the element values of the normalized eigenvectors. The up and down arrows represent positive and negative responses to the scaled PC. Time variations are in upper panel (solid line) and normalized spatial eigenvectors are in lower panel..

4c. On-the-fly Modeling

Bock, Yehuda (SIO), Frank Webb (JPL), Sharon Kedar (JPL), Marlon Pierce (IU), Michael Bock, Yehuda (SIO), Frank Webb (JPL), Sharon Kedar (JPL), Marlon Pierce (IU), Michael Scharber (SIO), Don Argus (JPL), Galip Aydin (IU), Ruey-Juin Chang (SIO), Danan Scharber (SIO), Don Argus (JPL), Galip Aydin (IU), Ruey-Juin Chang (SIO), Danan Dong (JPL), Peng Fang (SIO), Robert Granat (JPL), Paul Jamason (SIO), Brian Newport Dong (JPL), Peng Fang (SIO), Robert Granat (JPL), Paul Jamason (SIO), Brian Newport (JPL), Sue Owen (JPL), Jay Parker (JPL), Linette Prawirodirdjo (SIO), Keith Stark (JPL), (JPL), Sue Owen (JPL), Jay Parker (JPL), Linette Prawirodirdjo (SIO), Keith Stark (JPL), Frank Vernon (SIO), George Wadsworth (SIO), Zhigang Qi (IU)Frank Vernon (SIO), George Wadsworth (SIO), Zhigang Qi (IU)

We are in the process of merging the capabilities of three NASA-funded projects We are in the process of merging the capabilities of three NASA-funded projects under the umbrella of the NASA Access Project, "Munder the umbrella of the NASA Access Project, "Modeling and On-the-fly Solutions odeling and On-the-fly Solutions for Solid Earth Sciences (MOSES)for Solid Earth Sciences (MOSES)” to facilitate data mining and modeling of rapidly to facilitate data mining and modeling of rapidly expanding multi-disciplinary geoscience data sets:(1) The SCIGN-REASoN project is expanding multi-disciplinary geoscience data sets:(1) The SCIGN-REASoN project is focused on the combination, validation, archive, and delivery of high-level data focused on the combination, validation, archive, and delivery of high-level data products and data mining capabilities from space geodetic measurements, in products and data mining capabilities from space geodetic measurements, in particular from over 600 CGPS stations in Western N.A.;(2) The QuakeSim project is particular from over 600 CGPS stations in Western N.A.;(2) The QuakeSim project is developing linked Web service environments for sup-porting high performance developing linked Web service environments for sup-porting high performance models of crustal deformation from a variety of geo-physicmodels of crustal deformation from a variety of geo-physical sensors, including GPS al sensors, including GPS and seismic instruments;(3) The SENH-Applications GPS/Seismic integration project and seismic instruments;(3) The SENH-Applications GPS/Seismic integration project has developed a proto-type real-time GPS/seismic displacement meter for seismic has developed a proto-type real-time GPS/seismic displacement meter for seismic hazard mitigation and monitoring of critical infrastructure. hazard mitigation and monitoring of critical infrastructure.

The focus of the MOSES project is to enable direct interaction between modelers The focus of the MOSES project is to enable direct interaction between modelers and data/data-product providers using Web services, within a unified portal archi-and data/data-product providers using Web services, within a unified portal archi-tecture. Modeling applications include, for example, time series analysis of continu-tecture. Modeling applications include, for example, time series analysis of continu-ous and rous and real-time data (e.g., RDAHMM and st_filter programs) and fault dislocation eal-time data (e.g., RDAHMM and st_filter programs) and fault dislocation modeling (e.g., Simplex program). Community resources include access to exten-modeling (e.g., Simplex program). Community resources include access to exten-sive infrastructure and distributed data archive holdings, an on-line map sive infrastructure and distributed data archive holdings, an on-line map server/client linked to a GIS database, a "GPS Explorer" data portal that is extensible server/client linked to a GIS database, a "GPS Explorer" data portal that is extensible to heterogeneous data sets, and "Geophysical Resource Web Services." We present to heterogeneous data sets, and "Geophysical Resource Web Services." We present an interactive display of the current capabilities of the unified data portal and solicit an interactive display of the current capabilities of the unified data portal and solicit feedback from communitfeedback from community members. y members.

IntegrationEvent detectionPattern recognitionAttached processesZero latency

http://reason.scign.org Maps

Timeseries

Velocities

Strain

Metadata

43

5

Files

DB

submission

handling

request

handling

resource submission using SOAP

ticket creation using SOAPa

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SOAP request-response

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st_filter

T Combinedime Series

V yelocitField

SOPACTime Series

JPLTime Series

Strain

GeophysicalParameters

FlexibilityXSLTCGI ProxiesShell Script Wrappers

SecurityAuthenticationSession trackingLocation independent

DistributedAnalysesScalable provider tierCommon product formatsFast re-processingNetwork reconfiguration

Centralized StorageOracle RDBMSCommon data modelsWell-defined integrity constraints

ValidationXML Schema

OGCStandardsGMLFilter EncodingWFSWMS

ExplorationVisualizationExtractionSubscriptionUser notificationSummarizationEducation

Time Series ModelingApplications

Data Analysis &Modeling Environment

3. Using Geophysical Resources Web Services (GRWS) Infrastructurearchived Products and Tools are integrated through web services to the Portal

~1800 CGPS sites/metadata archived daily,including all PBO and many CORS

~ 75% in Western Hemisphere

~85 sites streaming @ 1 Hz (CRTN)

~ 3M ftp retrievals/month/~ 1 Hz (1 file/s)

All CGPS data and data products collected since early 1990’s on-line

SOSOPAC ArchivAC Archive

1. Extensive Infrastructure, Data Archive2. On-line Map Server/Client, linked to GIS Database and Resources3. GPS Explorer Data Portal Ð extensible to display and manipulation of heterogeneous data sets (e.g., seismic, strainmeter, geology, InSAR4. Geophysical Resource Web Services (GRWS)

2. This includes access to our archive, 2. This includes access to our archive, an extensive Community Resourcean extensive Community Resource

with data and data productswith data and data products

Earth Science Community IT Resources through a Unified Data Analysis and Modeling Portal

4a. SOPAC Online Mapping Interface (SOMI)

http://ex.ucsd.edu/maps

geoapp.ucsd.edu ex.ucsd.edu

CSS

HTML

JS

CGI

Examples of SOMI-generated maps Examples of SOMI-generated maps embedded in Web pagesembedded in Web pages

4. The GPS Explorer Portal contains mapping and modeling tools for 4. The GPS Explorer Portal contains mapping and modeling tools for (real-time) GPS data products(real-time) GPS data products

5. Users get logins to the portal where they can select, explore, and model the data products and save their results for future sessions.

Tool development, implementation, and output functions are being extended.

Co

mp

osi

tio

ns

Map

s

Them

es

Laye

rs

db

GIPSY

GAMIT

User MarkupSOMI ServiceHost

Architecture and interfaces allow other analysis centers to

4b. Application Integration with Real- Real-Time Filters for GPS Time Filters for GPS StreamsStreams

CombinesGeospatial Data with

Time S eries

Inter-portlet communication

used to pass

information

Clicking

on site inSOMI shows

information

andadds site to

analysis group

Site S election

usingbounding box,

metadata

criteria, etc.

Selected sitescan be saved

and passed

on to other portlets for processing

Linked with

Geophysical Modeling

Applications

Allowing

DirectInteractionbetweenModeler

&

Data P rovider via

Data Analysis

&

Modeling

Portal

Infrastructure uses gridsphere portal server, inter-web 2.0 functionality via AJAX and

back-end web services

The real-time RDAHMM plots available via SOMI.

Portlets are JSR-168 portlet specification compliant, and

exportable to other portal servers

WFS