HR: 0800h
AN: SF31A-0716 [Abstracts]
TI: GENESIS SciFlo: Enabling Multi-Instrument Atmospheric Science Using Grid Workflows
AU: * Wilson, B D
EM: Brian.Wilson@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology
4800 Oak Grove Dr., Pasadena, CA 91109-8099
United States
AU: Tang, B
EM: Benyang.Tang@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology
4800 Oak Grove Dr., Pasadena, CA 91109-8099
United States
AU: Manipon, G
EM: Gerald.Manipon@sdsio-mail.jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology
4800 Oak Grove Dr., Pasadena, CA 91109-8099
United States
AU: Yunck, T
EM: Thomas.Yunck@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology
4800 Oak Grove Dr., Pasadena, CA 91109-8099
United States
AU: Fetzer, E
EM: Eric.Fetzer@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology
4800 Oak Grove Dr., Pasadena, CA 91109-8099
United States
AU: Braverman, A
EM: Amy.Braverman@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology
4800 Oak Grove Dr., Pasadena, CA 91109-8099
United States
AU: Dobinson, E
EM: Elaine.Dobinson@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology
4800 Oak Grove Dr., Pasadena, CA 91109-8099
United States
AB:
The General Earth Science Investigation Suite (GENESIS) project is a NASA-sponsored partnership between the Jet Propulsion
Laboratory, academia, and NASA data centers to develop a new suite of web services tools to facilitate multi-sensor
investigations in Earth System Science. The goal of GENESIS is to enable large-scale, multi-instrument atmospheric science
using combined datasets from the AIRS, MODIS, MISR, and GPS sensors. Investigations will include cross-comparison of
spaceborne climate sensors, cloud spectral analysis, study of upper troposphere-strato-sphere water transport, study of the
aerosol indirect cloud effect, and global climate model validation. The challenges are to bring together very large
datasets, reformat and understand the individual instrument retrievals, co-register or re-grid the retrieved physical
parameters, perform computationally-intensive data fusion and data mining operations, and accumulate complex statistics over
months to years of data. To meet these challenges, we are developing a Grid computing and dataflow framework, named SciFlo,
in which we are deploying a set of versatile and reusable operators for data access, subsetting, registration, mining,
fusion, compression, and advanced statistical analysis.
SciFlo is a system for Scientific Knowledge Creation on the Grid using a Semantically-Enabled Dataflow Execution Environment.
SciFlo leverages Simple Object Access Protocol (SOAP) Web Services and the Grid Computing standards (Globus Alliance
toolkits), and enables scientists to do multi-instrument Earth Science by assembling reusable web services and executable
operators into a distributed computing flow (operator tree). The SciFlo client & server engines optimize the execution of
such distributed data flows and allow the user to transparently find and use datasets and operators without worrying about
the actual location of the Grid resources. The scientist injects a distributed computation into the Grid by simply filling
out an HTML form or directly authoring the underlying XML dataflow document, and results are returned directly to the
scientist's desktop. Once an analysis has been specified for a chunk or day of data, it can be easily repeated with
different control parameters or over months of data.
We will discuss the design issues and solutions used in the implementation of SciFlo, including XML dataflow documents, heavy
use of XML datatyping & semantic web concepts, parallel dataflow execution engines, data access simply by naming, and
catalog lookup of operator bundles. To illustrate the SciFlo concepts, an example dataflow will be demonstrated in which
atmospheric temperature and water vapor profiles from the AIRS, GPS, and MODIS instruments are retrieved using SOAP (data
access) services, co-registered, and visually & statistically compared on demand.
UR: http://genesis.jpl.nasa.gov
DE: 9820 Techniques applicable in three or more fields
DE: 3362 Stratosphere/troposphere interactions
DE: 3394 Instruments and techniques
DE: 3309 Climatology (1620)
DE: 3319 General circulation
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting