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A fundamental requirement for this is the availability of
historical and real-time systematic and consistent obser-
vations
of
hydrometeorological
parameters,
complemented with other forecast products providing
information on expected patterns of hazards from the
next hour to longer timeframes. This must be comple-
mented with vulnerability and exposure information as
well as tools and methodologies for hazard analysis,
mapping and sectoral risk assessment and modelling.
Hazard events are characterized by magnitude, dura-
tion, location and timing. Calculating the probability of
hazard events in terms of these characteristics is key to
fully documenting the hazard component of disaster
impacts. These defining characteristics provide a basis
for extracting information on hazard frequency and
severity from observational datasets. The fundamental
requirement is the availability of, and access to, high
quality historical meteorological and hydrological data.
This requires:
• Ongoing, systematic and consistent observations of
hazard-relevant hydrometeorological parameters
• Quality assurance and proper archiving of data into
temporally and geographically referenced, consistently
catalogued observational datasets
• Ensuring that data can be located and retrieved by
users.
Risk characterization would require that hazard infor-
mation be complemented with socio-economic
information related to the impact of disasters. Surveys
and reports by UN and international development and
financial institutions indicate that in most countries, the
concept of risk identification needs to be mainstreamed
in the development planning framework at policy to
operational levels. In a recent capacity analysis survey
conducted by the WMO, nearly 90 per cent of the 139
participating countries indicated the need to strengthen
their observing networks; capacities for maintenance of
standard hazard databases and metadata; maintenance
of sectoral disaster loss data, and methodologies for risk
modelling to support development planning in different
economic sectors. Given the pervasive nature of hydrom-
eteorological hazards and increasing levels of
vulnerability, ability to manage these changes will require
continuing and renewed commitment to maintaining the
observing networks, basic data, and hazard forecasting
capacities needed for identifying and managing risks.
Early warning systems for disaster risk reduction
Risk reduction involves actions taken to reduce the
overall risks associated with disasters. Such actions
would include short-, medium- and long-term sectoral
planning, early warning systems and emergency
preparedness mechanisms.
The second priority for action in the HFA is to ‘identify,
assess and monitor disaster risks and enhance early warn-
ings.’ This stresses the importance of early warning systems
as a critical component of disaster risk reduction. On the
global scale, it is worth noting that while the number of
countries, through their NMHS, to enhance their capacity in this area.
WMO continues to work toward ensuring consistent data quality and
accessibility across national boundaries for the purpose of improv-
ing risk management capabilities at the regional and sub-regional
levels.
Through the WMO Global Observing System, operated by the
national meteorological services, data are collected from 17 satellites,
hundreds of ocean buoys, thousands of aircraft and ships and nearly
10,000 land-based stations. More than 50,000 weather reports and
several thousand charts and digital products are disseminated daily
through the WMO Global Telecommunication System, which inter-
connects all meteorological centres around the globe.
The WMO Global Data Processing and Forecasting System involves
three World Meteorological Centres (WMCs) and 40 Regional
Specialized Meteorological Centres (RSMCs). They are all operated by
NMHS, ensuring cooperation at global, regional and national levels
to process data and routinely providing countries with analyses and
meteorological forecasts, supporting early warning capacities through
the national meteorological services. In addition, WMO supports 30
regional training centres, providing technical training for NMHS
management and operations.
WMO’s global network has proven highly effective for issuing trop-
ical cyclone (including hurricanes and typhoons) early warnings
over the past 20 years in the Atlantic, Pacific and Indian Ocean
regions. Through the WMO coordinated observing network, atmos-
pheric and oceanic data are collected via in situ and space-based
instruments and distributed to six Regional Specialized
Meteorological Centres dedicated to providing tropical cyclone analy-
sis, forecasts and alerts in support of NMHS operational warning
systems. These operational capacities are supplemented by five
regional committees, involving NMHS forecasters, which ensure
ongoing improvements in the tropical cyclone forecasting and
warning systems. This has enabled availability of tropical cyclone
warning capacities to all countries at risk.
Through the ten scientific and technical programmes of WMO,
similar capacities have been developed and are being strengthened
on an ongoing basis for monitoring and warning of droughts, floods,
extreme temperatures, severe storms, wildland fires, air pollution,
sand and dust storms, and transport of nuclear, chemical and biolog-
ical pollutants related to man-made disasters. These capacities need
to be further extended to all countries, particularly those with limited
resources. However, WMO recognizes that only through strength-
ened coordination, collaboration and strategic partnership can these
capacities be developed to improve safety of the communities and
sustain socio-economic development.
A framework for disaster risk management
Disaster risk management strategies, as detailed in the HFA, can be
framed under three main areas: Risk Identification, Risk Reduction
and Risk Transfer. The HFA stresses that effective disaster risk
management should be supported by effective governance, legisla-
tion, legal frameworks and institutional capacities at national to local
levels, supplemented by effective information and knowledge sharing
mechanisms among different stakeholders.
Risk identification
Risk identification involves understanding and quantification of risk
through hazard, vulnerabilities and exposure patterns. It provides the
first essential step for developing sound risk management strategies.
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