Meteorology and Space Weather Data Mining Portal
Mikhail ZHIZHIN, Geophysical Center RASDmitry MISHIN, Institute of Physics of the Earth, RAS
Alexei POYDA, Moscow State University
Environmental Scenario Search Engine (ESSE)
• Portal for interactive searching for events over a Grid of environmental data services hosted by OGSA-DAI
• The web services are Grid proxies for the database clusters with terabytes of high-resolution meteorological and space weather reanalysis data over the past 20-50 years
• The data mining is based on fuzzy logic to search for events in natural language terms, such as “very cold day”
• Parallel data mining across disciplines for correlated events in space, atmosphere and ocean
• In cooperation with the National Geophysical Data Center NOAA and supported by the grant from the Microsoft Research Ltd.
Environmental Data SourcesAvalanche in the amount of available data:• Monitoring (ground observatories, satellites etc.); • Reanalysis data (models that build regular grids of specific parameters
based on available irregular data)
Examples:• SPIDR (Space Physics Interactive Data Archive)
– From 1930 year– ~120 numerical parameters – ~0.5 TB
• NCEP/NCAR Weather Reanalysis Project – From 1950 year – Weather parameters on regular grid
• Time resolution 6 hrs • Spatial resolution 2.5 deg
– ~1 TB • CLASS (Comprehensive Large Array-data Stewardship System
– From 1992 year– Satellite images from ~100 spectral channels – ~1.2 PB, growing ~0.5 PB per year
Environmental Data ModelsBasic data element is a time series, i.e. an array of values of a parameter at different times at a specific grid point, observatory location, or on specific satellite trajectory
These arrays has typical dimension of 106. And basic operations are not joins, but “extracting subrange” or “resampling”
Environmental Data Service: OGSA-DAI plugin
NCEPdatabase
NWSdatabase
SPIDRdatabases
Tomcat
DAI
Clients
Dataexport
getMetadata
Metadata XML
getProperty: sources
sources list
getXMLData
data XML
getNetCDFData
URL to NetCDF file
NetC
DF
fileserialisation
User
NetCDF file
DMSPdatabase
IDEASportal
MS Excel
Any client
Environmental Data MiningCurrently available environmental data mining portals (GCMD, ESG)
search metadata and subset the data:
• How to find appropriate databases?
In addition, ESSE searches for events inside the data:
• How to interpret a question of a scientist? • How to build set of database queries that can answer the question? • How to synthesize and present results of a distributed query? Typical ESSE questions:
• How often do typical Florida spring storms occur? Have the frequency been increasing in the last 10 years?
• Find day-time DMSP satellite images above Florida with spring storms
How to interpret a question of a scientist?
1. Introduce the notion of an Environmental Scenario (ES) as a basic building block for scientific question
2. Interpret ES as a fuzzy query expression a. Each basic condition in a ES translates into membership
function of a fuzzy set, a term in a resulting expression b. An expression is built using traditional fuzzy logic operations
plus “time shift” operator
3. Query terms are evaluated at individual data sources 4. The ESSE engine collects the data and performs fuzzy
query operation.
The ESSE engine is being built as a Web Service. This enables cascading queries, but raises new research challenges, e.g. optimization of query execution.
Defining fuzzy search criteria
Set the fuzzy constraints on the parameters for the event state, for example:
(VERY HIGH TEMPERATURE) and (VERY HIGH HUMIDITY)
Working with Environmental Scenarios
The user may search for a desired scenario by describing several subsequent events. Scenario example: (HEAVY RAIN) followed by (VERY LOW TEMPERATURE)
How to synthesize and present results of a distributed query?
• Environmental Scenario search result is a scored list of candidate events. “Score” represents the “likeliness” of each event in a numerical form
• The result page provides links to visualization and data export pages
• Each event can be viewed as– time series– dynamic 5D volume– satellite images animation
• Data subset for each event can be exported in XML and NetCDF formats
Scenario search results: scored event list
• “Score” represents the “likeliness” of each event in a numerical form.
• The results page provides links to visualization and data export pages.
Viewing the event in time and space
Vis5D time-space-parameteranimation
Viewing the event from satellites
Where do we use Grid infrastructure?
EGEE
MetadataXML
UserESSE Portal
OGSA-DAI
DataData
Discover Sources
Select: parameters stations probes date interval ...
Visualise Data
Fuzzy search scenario
Download Data
FuzzySearch
Data Request
UpdateMetadata
Data
DataexportgridFTP
ReturnData
ReturnData
MetadataSearch
Event DataSubset
WorkflowControl
Online demo scenario
1. User login on ESSE portal2. Search for a database with “cloud cover”
parameter and coverage around Moscow3. Select the database “NCEP Reanalysis”, the
location “Moscow”, and the parameter “Cloud cover”
4. Compose the event scenario “Low cloud cover”5. Search for day events in the summer 20056. Show the most likely event found with time
series and satellite images
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