1. Water Resource Data GRID in ThailandBy
Royol CHITRADON,
Hydro and Agro Informatics Institute,
National Science and Technology Development Agency
Ministry of Science and Technology

2. Technology at HAII Mobile Telemetering
For monitoring temperature, humidity, solar intensity,
air pressure, rainfall, etc for 24 hours a day.
The real-time data is transmitted via GPRS package radio, etc.

3. Technology at HAII Internet GIS - MIS
The application of Internet GIS–MIS for water resource and agricultural management, and community development

4. Technology at HAII Terabyte Server
Data warehouses consist of a cluster of computers operated as a server and connected with backup archives.

5. www.thaiwater.net www.thaiweather.net

7. www.thaiwater.net Thaiwater.net presents water
related information including:
Storm direction
Rainfall information
Water diagram
Water level in Chaopraya River Basin and Pasak River Basin
Water level and rainfall in Bangkok
Dam water level
Water model and warning system in flood and drought for water management.

9.
Thaiweather.net presents automatic real - time data collected from Mobile Tele Metering and Automatic Weather Stations nationwide. At present, there are over 300 stations in operation. It was designed to be portable and easy to install with prompt responses via GPRS system on mobile phones. Moreover, the system can be real-time inspected by Internet (WWW) or WAP.
This system can measure various types of data including:
Solar intensity
Temperature
Humidity
Air pressure
Rainfall
Water level

10. ‘Data’ as a Service

11. ‘Data’ as a Service Data Warehouse ‘Data’ Grid Data Services
‘Middleware’
Data Source 1
Data
Warehouse
Transformation
Data Source 2
Data Exchange Protocols
Tag / Metadata
Data Definitions
Data Structures
Platform Independent
Standards
&
Controls
Data Access Method
Metadata/ Semantic
Data Definitions
Data Structures
Platform Independent
Standards
&
Controls
Data Source 3
Data
Warehouse
Transformation
Data Source 4
Data Source 5
Data
Warehouse
Transformation
Data Source 6

12. Extract, Load, Transform
‘Data’ as a Service
Data Source 1
Data Source 2
Transformation
Data Source 3
Data Source 4
Data Source 5
Data Source 6
Data
Warehouse
Data Access Method
Metadata/ Semantic
Data Definitions
Data Structures
Platform Independent
Standards
&
Controls
‘Data’ Grid
Data Warehouse
Data Services
Data Exchange Protocols
Tag / Metadata
‘Middleware’
PHP5
FTP
SOA
PHP5
Semantic Web
PHP5
GML
Web Services
Web Services
Extract, Load, Transform

13. - - - - Continuous Improvement - - - -
HAII Technology Roadmap
SVG
Geospatial Web
GML
Semantic Web
Web 3.0
SOA
Web 2.0
Web Service
community
Tagcloud
SOAP
REST
collaboration
podcast
CMS
Wiki
social
software
journal
weblog
longtail
XML
RSS
XSLT
MCF
AJAX
In Place Editor
Auto Complete
Continuous Improvement
Javascript
Effect
Drag & Drop
web as
platform
collective
intelligence
ASP
SaaS
HTML
HTML Design Pattern
XHTML
CSS
CSS Design Pattern
PHP 4
PEAR:DB
DB-Pager
PEAR
Pager
PHP 5
PEAR
Data-Grid
PHP 6 ….
PEAR
PHP-Compat
PEAR MDB2
Web 2.0 ส่วนที่ HAII ไม่ได้เลือกใช้
2548
2549
2550
2551
Onward

14. Thank you
Q & A

15. Climate Change in GLOBAL

19. Climate Change 2007: Synthesis Report
Climate Change 2007: Synthesis Report. An Assessment of the Intergovernmental Panel on Climate Change
This underlying report, adopted section by section at IPCC Plenary XXVII (Valencia, Spain, November 2007), represents the formally agreed statement of the IPCC concerning key findings and uncertainties contained in the Working Group contributions to the Fourth Assessment Report.

20. Climate Change in SEA Region

21. SSH on December 11th, 2007
SSH raising is shown in Gulf of Thailand and Andaman Sea, and SSH of the east of Pacific and the west of Indian Sea is lower. This pattern is similar to the year 2002 and 2006 which had heavy flood.

22. SSH on December 12th, 2001

23. SSH on December 10th, 2005

24. SSH on December 11th, 2004

25. 2008 Rainfall Projection by using December 2007 SSH Image
Sea surface height anomalies – SSH is result of sea surface temperature difference and sea surge in the ocean. Sea surface is the major part of an earth surface, so, changing or movement of sea is a good indicator of a long range weather projection in each year. It is similar to using sea surface temperature anomalies to project elNino and Lanina which will indicate annual rainfall projection.
It is founded that SSH of this year – 2008 is similar to the year 2002 and 2006 (heavy flood year), and the pattern is in opposite of the year 2005 (drought year). By this comparison, rainfall pattern of this year is projected.
Then projection of 2008 Rainfall would be similar to 2002 Rainfall.

26. Climate Change in Thailand

28. Rainfall in May
Average of
Of 2007
Rainfall in mm.

29. Rainfall in June
Average of
Of 2007
Rainfall in mm.

30. Rainfall in July
Average of
Of 2007
Rainfall in mm.

31. Rainfall in August
Average of
Of 2007
Rainfall in mm.

32. Rainfall in September
Average of
Of 2007
Rainfall in mm.

33. Rainfall in October
Average of
Of 2007
Rainfall in mm.