#FloodHack: Help Improve the Global Flood Awareness System

Take part in developing tools to save lives worldwide by stimulating and improving the Global Flood Awareness System (GloFAS), which provides global forecasts of extreme flood events. GloFAS is used by international institutes like the Red Cross and World Food Programme as an information tool during crisis. We are looking for innovative ideas to improve the current system to make it easier and more flexible to use, for example to develop a lightweight version (mobile app?) of the system to facilitate system exploitation in the field or to use other available data sources to create new features. The #FloodHack is supported by the Copernicus Emergency Management Service.

Background:

Flooding has the highest frequency of occurrence of all types of natural disasters across the globe, accounting for 39% of all natural disasters since 2000. Flood events affect millions of people every year through displacement from homes, unsafe drinking water, destruction of infrastructure, and injury and loss of life. On average, each year, more than 5,500 people are getting killed by floods and more than 94 million people are affected worldwide. With an increasing global population, including those living in flood-prone areas, the anticipation and forecasting of flood events is key to managing, preparing for and protecting from severe events, from local to national and international scales.

Producing forecasts at the global scale has only become possible in recent years, due to the emergence of new developments and capabilities of forecasting systems, integration of meteorological and hydrological modelling capabilities, improvements in data, satellite observations and land surface hydrology modelling, and increased resources and computer power. Global flood forecasts have little financial value and thus for example the current Global Flood Awareness System (GloFAS) was created through the volunteer enthusiasm of a few individuals.

Although we can produce these forecasts, there is still a long way to go in order to make them usable in particular for NGOs. The GloFAS system is currently used in a pilot project by the International Red Cross for forecast based finance. The project recognizes there are often forecasts available but no humanitarian organization with resources to act before disaster, which can be far more effective than post-disaster response (http://www.climatecentre.org/programmes-engagement/forecast-based-financing). These pilots will disburse humanitarian funding as soon as a forecast threshold is crossed and before a potential disaster.

However, to be effective, the system needs to be accessible and usable to a wide range of individuals . This highlighted the limitations of the system, and more help and volunteers are needed to make it more usable and useful for a wider user base.

Challenges:

Data model:

Currently the flood forecast output format are PCRaster maps. Output maps are processed and the result of this phase are mostly shape files, geo-referenced images (PNG) and XML files that are displayed using MapServer through www.globalfloods.eu. Output maps also are available in netCDF and could benefit from new systems like ncWMS and THREDDS Data Server. At present we have daily forecasts starting from 2008 freely available on www.globalfloods.eu.

Challenges are:

• Analyse existing work/data flows in GloFAS and propose alternative data storage, formats and services depending on the data type and usage
• Monitoring of the events through entire life-cycle focusing on data/services interoperability (coupling GloFAS with monitoring, crisis management and recovery tools)
• Identify new external services to be coupled with GloFAS (e.g. satellite tracking, activation, social media monitoring, crowd-sourcing)
• To support a new way of combining GloFAS with other available services like OGC:SOS and/or OGC:WCS
• To support new ways of harvesting data to create new functionality

Forecast and data visualisation:

The forecasts are mainly disseminated through www.globalfloods.eu. The web-portal is currently based on Django, HTML5, OpenLayers 3 and some JavaScript patterns.

Challenges are:

• Innovative ways of displaying the maps and time series. This could be for example more interactive tools, personalising displays etc.
• To support new ways of storing and following events for improving the post-analysis (crowd sourcing, Common Alerting Protocol)
• To support new methods of cartographic visualisation in web applications
• To support development of new apps and their exploitation in different fields (transport, land use, agro-meteorological sensors, forestry) and for different user needs
• To support the creation of a user-data-service, for example to get the annual averages (climate) for a certain area

Judges:

• Craig Hogan, Founder, Dev4Good
• Ben Ward, Founder, Flood Network
• Simon Hodgkinson, Founder and CEO, Smart Earth Network

Prizes:

We will award prizes for the best submissions and ideas:

• 1st prize £600 in vouchers
• 2nd prize £300 in vouchers
• 3rd prize £150 in vouchers

A donation equivalent to the above will be made to the Red Cross for the Forecast Finance Project pilot site in Dar es Salaam (Tanzania).

Judging criteria are:

• Potential for innovation
• Relevance/usefulness
• Technical merit
• Design/user experience/polish
• "wow" factor

This event is free to register. Register through the event website.