

C
apacity
D
evelopment
to check or certify these stations in meeting WMO
standards. There is a memorandum of understanding
between the hydromet agencies on sharing information,
but this has been difficult to enforce due to the lack
of practical solutions for data sharing and more clearly
defined roles and responsibilities. The proposed project
therefore works actively on bringing the staff of the
agencies together in the design and implementation of
the project to identify joint solutions. Simultaneously,
bringing the issues to the attention of political decision-
makers at ministerial level is equally important.
Capacities will be built in the following areas:
• Strengthening and optimizing the hydrological and
meteorological monitoring networks
• Improving forecasting capacities (modelling, data
management and other ICT interventions)
• Improving quality control and enforcement
of standards
• Product development (with improved monitoring
and forecasting, review and update of the package of
information products used to communicate among
agencies and users)
• Skills, capacities and training
• Securing financial sustainability using management
tools to improve and secure revenue flows for long-
term sustainability.
Looking ahead
Lessons from previous support to hydromet services in
Mozambique can be applied to this project. An under-
standing of the wider context in which the intervention
will take place is critical in ensuring the success and
sustainability of the project. Such contextual informa-
tion includes an understanding of the in-depth details
on availability of trained staff to run equipment; facili-
ties for calibration and standardization; sufficient, stable
energy supply; Internet connection and so on.
There are a number of examples where previous
support for hydromet services has not been as successful
as expected. Learning from these, the project design will
try to address some underlying causes for failure. These
include financial sustainability, institutional collabora-
tion, and ensuring that both ‘soft’ and ‘hard’ resources are
in place to maintain technically advanced equipment (for
example, telemetric stations often need secure and steady
electricity supply to function as well as a paid guard to
protect the station from theft). Another lesson is to capi-
talize on other initiatives in associated beneficiary sectors
in an integrative manner. One such example is piloting
distribution of weather information that can be integrated
into existing projects to improve farmers’ access to infor-
mation. Capitalizing on regional hydromet initiatives is
also important so that more consistency and harmoniza-
tion of different systems at different levels can be achieved.
It is increasingly important that lessons are shared
among donors who may finance separate interventions.
Any lessons learned during this project can be trans-
ferred through ongoing and future projects at national,
regional and basin level.
With the proposed project, attention will be given to how DNA,
the ARAs and INAM can tailor the hydromet information products.
The goal is that with better monitoring and forecasting capacity,
the actual content of the products would be more accurate and
relevant to the user. Equally, the communication format and
channel with which this information is conveyed is important.
Advances can be made by introducing new technological solutions
(such as regular access to precipitation predictions from global
remote sensing sources), opening data access and refining prod-
ucts to user needs. The project would also include opportunities
to pilot new solutions to serve particular needs. These pilots can
include improvements to ongoing early warning systems for rural
communities or providing weather forecasts to farmers and so on.
Because it is beyond the scope and resources of the project to
serve all user groups across the entire country, these pilots can
become useful tools in trialling new solutions that can be refined
and scaled up, and build on existing mechanisms for communica-
tion between government and different users without duplicating
existing early warning systems, for example.
With respect to dissemination of hydromet information, the
institutions in Mozambique use email, fax and Internet to share
their information products with the stakeholder government
agencies. There is a well established system where the hydromet
agencies send information to the National Institute for Disaster
Management (INGC) which acts as a hub for further dissemination
to agencies, media organizations and private companies. Bulletins
are also sent on a daily basis to the media as well as other govern-
ment agencies.
Mozambique is often heralded in southern Africa as a successful
example where emergency response functions well and has sound
political backing that enables inter-agency cooperation.
Implementation and evaluation
The World Bank is mandated to administer the support from
the PPCR for the Mozambique Government for this project (the
International Finance Corporation and the African Development
Bank also administer the PPCR support for Mozambique). As the
primary institution managing the process for the needs assessment,
the World Bank is working in close collaboration with the named
implementation agencies. Staff within these agencies are provid-
ing the bulk of information and analysis, and are working with the
World Bank in a continuous process that includes meetings, field
visits, extensive communication and workshops. Ultimately, the
responsibility to implement the project will be with these main insti-
tutions and the bank will play a supportive role during this period.
Capacities
All capacity building and training for staff on topics such as quality
control, calibration and data standardization will be rolled out
together with efforts to improve inter-agency cooperation. As clari-
fied, the hydromet services are delivered by a number of agencies
–DNA, the ARAs and INAM – whose operations are not guided by
one national shared action plan, strategy or vision. This means that
responsibilities have gradually become more fragmented, sharing
of data between the agencies is cumbersome and technically chal-
lenged, and enforcing World Meteorological Organization (WMO)
quality standards across all stations in all the agencies’ networks
is problematic. For example, the ARAs have a vast number of rain
gauges but INAM does not have the staff capacity or full mandate
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