Programme OS1f Africa abstract 576
An initiative for improving modeling, observing systems, data access, and
training related to precipitation in Africa
Author(s): Scott Swerdlin, Thomas Warner, Rajul Pandya, Fredrick
Semazzi, Benjamin Lamptey, Scott Swerdlin
National Center for Atmospheric Research
Boulder, Colorado, USA
Keyword(s): Africa, precipitation, rainfall, radar,
mesoscale models, education, training
Article:
Poster:
Session: OS1f Africa
Abstract The U.S. University Corporation for Atmospheric Research (UCAR) has established an initiative whose aim is to
further develop infrastructure in Africa related to operational numerical prediction of precipitation and other
variables, the observation of precipitation through improved radar and gage networks, the sharing of radar and other
data among African scientists, and the education and training of scientists related to the atmospheric component of
the hydrologic cycle.
Initial efforts include the establishment, in collaboration with the Ghana Meteorological
Agency, of an operational atmospheric modeling system for Africa that is based on the community Weather
Research and Forecast (WRF) model. This model has been operational since December 2006, and forecast
products are being made available over the web to all forecasters in Africa. Precipitation forecasts will be especially
useful for assessment of the threat of floods and for agricultural applications. In addition, weather radars, that provide
high spatial- and temporal- resolution estimates of current precipitation, are being rehabilitated and upgraded in West
Africa. These new precipitation-rate data that are placed on a network and made available over the web will serve
a variety of needs.
This paper will describe continuing activities, by UCAR and its U.S. Member Universities
and International Affiliate Universities, that involve the development of infrastructure in Africa related to the numerical
prediction of precipitation and other variables, the continued enhancement and networking of the radar-based system
for precipitation estimation, and the education of local scientists and managers in the effective use of rainfall estimates
and forecasts for applications in water resources and agriculture.