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GLEON Information Technology. How it’s done. Need a team Need a mission to guide/prioritize Move the data Sense data Stream data Store data Get data Model data Need funding (GBMF, NSF). GLEON Sites September 2008. SUNY Binghamtom: Ken Chiu and students. San Diego:

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GLEON Information Technology

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Gleon information technology

GLEON Information Technology


How it s done

How it’s done

  • Need a team

  • Need a mission to guide/prioritize

  • Move the data

    • Sense data

    • Stream data

    • Store data

    • Get data

    • Model data

  • Need funding (GBMF, NSF)


Gleon information technology

GLEON Sites

September 2008

SUNY Binghamtom:

Ken Chiu and students

San Diego:

Tony Fountain

Sameer Tilak

Peter Shin

And you!

Lake Observatory

+

Taiwan (NCHC):

Fang-Pang Lin

Hsui-Mei Chou

IT Development

Wisconsin:

Luke Winslow

Barbara Benson

David Balsiger


Unofficial missions

(unofficial) Missions

  • Help many sites get online

  • (Help) Curate and manage the data

  • Provide access to heterogeneous systems

  • Support data analysis


Gleon information technology

Lake Erken

Lake Sunapee

Documented on GLEON Web site

2 days, Oct. ‘07

5 days, June ‘07

2007-08 IM Installations

Brazil, remotely,

Apr. ‘08

Mendota, June ’08

Plug-n-play

Lake Annie

1+ days, Feb ‘08


Gleon information technology

The buoys of GLEON: sensor platforms from around the world

Lake Sunapee, New Hampshire (USA)

Yang Yuan Lake, Taiwan

Lake Rotorua, NZ

Lake Paajarvi, Finland

Trout Lake, Wisconsin (USA)

Lake Taihu, China

Lake Mendota, (WI, USA)

Lake Erken, Sweden


Gleon information technology

Field Station

Sense

Standardized configuration

Text file with arbitrary configuration

Lake

Stream

Other Location, e.g., GLEON Central

Model

MySQL

Database

(Vega data model

Data Turbine

e.g., NowCasting

Store

MySQL

Database

(Vega data model

dbBadger

Get

Web


Gleon information technology

GLEON Central

L. Erken

L. Sunapee

Trout L. Nowcasting

New Zealand; Taihu


To date

To Date…

  • Nearly 35 sampling sites from seven research programs

  • Approx. 50 million data points

  • Ability to access, plot and model data

    What could possibly be next?


Gleon information technology

I think I know…


Plenty

Plenty

  • More visualization

  • Crossing boundaries between systems

  • Data QA/QC tools

  • More modeling


2 crossing boundaries

2. Crossing Boundaries

GLEON Central

database

New Zealand

database

Others, such as Ireland, Kinneret, New Zealand, etc.


2 crossing boundaries1

2. Crossing Boundaries

  • Controlled vocabulary

  • Agreement on method

  • Agreement on availability

  • Provenance (data “versions”)


3 qa qc

3. QA/QC

  • Controlled vocabulary

  • Algorithms for detection

  • Guidelines on action

  • Agreement on annotation

  • Provenance (data “versions”)


4 more models

4. More Models

  • Controlled vocabulary

  • Types

    • Physical characteristics (Kroiss)

    • Data filtering and smoothing

    • Common transformations

    • Predictive

  • Implementation

  • Storage and visualization of output


Priority process timing

Priority, process, timing

  • Controlled vocabulary

    • Committee

    • GLEON 8, Feb ’09

  • ?

  • ?

  • ?

  • ?


Gleon information technology

End


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