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F
ORECASTING AND OTHER
weather-related information
provision has improved immensely during recent
decades. The improvement in forecasting means that it
is possible to describe coming weather events in terms of
attributes such as intensity, location and duration. Due to this
more complete set of variables and probabilities, not only
weather variables but also other related variables are identifi-
able. New means of communication and visualization are
contributing to improved possibilities for forecasting services,
and other important decision-making materials can be more
easily integrated.
A prerequisite for positive forecasting outcomes is that deci-
sions are made over and over again based on the content of
good forecasts. The predictability of weather is such that, while
the outcome of individual forecasts might be inaccurate, the
integrated value over time should be accurate.
Quality is not only an academic issue; it has to embrace
several dimensions in order to develop an optimised decision-
making process. It is important to take into account
continuously developing technologies and techniques to
enhance the value of forecasting, both in economic terms and
in terms of mitigating damage from predicted strong weather
events. This view of forecasting will hopefully provide some
new thinking on how to optimise service quality and how to
improve it in an adequate parallel to the developing sophisti-
cation of meteorology as a science, where the state-of-the-art
is now based on supercomputer and space techniques.
On quality
Verification measures are expected to reveal the quality of fore-
casts. However due to the breadth and varied skill levels of its
audience, an accurate forecast may still be confusing for one
end user while providing a lot of useful information to another.
A forecast can be considered to exhibit value if it helps the end
user to make decisions on the basis of that particular forecast,
regardless of skill.
A service meeting its users’ expectations is not necessarily
100 per cent accurate. If it provides an acceptable mean to facil-
itate decision making, it may still be a satisfactory service. The
main goal of validation is to authenticate and quantify the
delivered products, so that users can be informed on the quality
and limitations (and therefore the applicability) of the infor-
mation that they are receiving.
Quality definitions
The outcomes of validation processes will be a measure of the
quality of the service/products, in its broadest sense. The
concept of quality should be clearly broken down, since all
these quality components are identified as part of a successful
service.
The product value should depend on technical quality (TQ)
and functional quality (FQ). Operational quality (OQ) can be
seen as apart of the FQ, but also as a separate part of the full
quality concept.
Technical quality
– TQ is directly related to the service’s tech-
nical specifications. It gives information on the accuracy and
scientific maturity of the products. The TQ of a categorical or
probabilistic forecast is a measure of the accuracy of the fore-
cast statement, with accuracy measured using the relevant
range of metrics that quantify how close the forecast was to
the observed value or the analysed value it was intended to
predict. TQ might describe how well the predicted precipita-
tion, temperature, water level etc. corresponded to the actual
measurements. It might also be described as the skill involved
in the forecast. However, TQ is understood in quite different
ways by different users. The requirements associated with it
could differ between those of a user wishing to overview a year
and one looking at a specific hazardous event. The quantifica-
tion of TQ must be performed by taking into account the
nature of the service and the type of information relevant to
each thematic domain.
The value of weather forecasts:
quality, decision-making and outcome
Erik Liljas, Swedish Meteorological and Hydrological Institute
Quality components of a successful service
Source: From the validation concept of PREVIEW – a project within the 6th Framework
Programme of the European Union.
Accuracy,
Correctness
TECHNICAL
QUALITY
FUNCTIONAL
QUALITY
Operational
Quality
Operability,
Portability,
Training support,
Other support
Availability,
Usability,
Credibility,
Understandability
VALUE




