Extreme Weather Events Database

The Extreme Weather Events Database service consists of two linked servers and a Github repository. The servers will be dedicated to two symbiotic systems for firstly storing and accessing the data, and second for analyses. The first server runs PostGIS with geoserver, the second server combines the R analytical software with an Oracle data registry and the Australian Data Archives DDI-INDEX searchable catalogue. The funding for this project was from the ANDS Applications program. We built a Scientific Workflow System for Assessing and Projecting the Health Impacts of Extreme Weather Events (EWE). This service is an ongoing data management and analysis environment for EWE research. All data and software available from the site are free or open source. This means any health scientist (academic, public servant, emergency aid worker or student), anywhere in the world can freely access these data and tools. As it is open source development, and can be freely modified, it is hoped that with little modification this software could be used by others to enhance our understanding of the impact of Extreme Weather Events on Health, improve the speediness of action against impending threats, and increase our ability to adapt to or avoid the harmful consequences of Climate Change.
Type
Service
Service Type
Assemble
Access Privileges
Meteorology and Health
Title
Extreme Weather Events Database
Abbreviated Title
EWEDB
Alternate Title
ANDS Project Code: AP07 "A Scientific Workflow System for Assessing and Projecting the Health Impacts of Extreme Weather Events".
Date the service was started
2012
Brief Description
The Extreme Weather Events Database service consists of two linked servers and a Github repository. The servers will be dedicated to two symbiotic systems for firstly storing and accessing the data, and second for analyses. The first server runs PostGIS with geoserver, the second server combines the R analytical software with an Oracle data registry and the Australian Data Archives DDI-INDEX searchable catalogue.
Full Description
The Extreme Weather Events Database service consists of two linked servers and a Github repository. The servers will be dedicated to two symbiotic systems for firstly storing and accessing the data, and second for analyses. The first server runs PostGIS with geoserver, the second server combines the R analytical software with an Oracle data registry and the Australian Data Archives DDI-INDEX searchable catalogue. The funding for this project was from the ANDS Applications program. We built a Scientific Workflow System for Assessing and Projecting the Health Impacts of Extreme Weather Events (EWE). This service is an ongoing data management and analysis environment for EWE research. All data and software available from the site are free or open source. This means any health scientist (academic, public servant, emergency aid worker or student), anywhere in the world can freely access these data and tools. As it is open source development, and can be freely modified, it is hoped that with little modification this software could be used by others to enhance our understanding of the impact of Extreme Weather Events on Health, improve the speediness of action against impending threats, and increase our ability to adapt to or avoid the harmful consequences of Climate Change.
Contact Email
ivan.hanigan@anu.edu.au
Contact Address
National Centre for Epidemiology and Population Health (NCEPH). Research School of Population Health. College of Medicine, Biology and Environment. Australian National University Canberra, ACT, 0200.
Contact Phone Number
Ph: +61 2 6125 7767.
Contact Fax Number
Fax: +61 2 6125 0740.
Delivery Method
Software
Access URL
https://github.com/swish-climate-impact-assessment ; http://115.146.94.209:8181/geoserver; https://115.146.93.108/ ; http://115.146.93.108:8181/ddiindex/
Service Website
http://swish-climate-impact-assessment.github.com
Access Policy Website
http://swish-climate-impact-assessment.github.com/about.html
Status: Published
Published to:
  • Australian National Data Service