UNEP

(Abstract):  Stand–alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc.

(Abstract):  Stand–alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc.

(Abstract):  Stand–alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy
resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc.

(Abstract):  Stand–alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy
resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc.

(Abstract):  Stand–alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy
resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc.

(Abstract):  Stand–alone and easy to use geographic
toolkit that allows non-GIS users to relate the renewable energy
resource (solar and wind) data to other geographic data, such as land
use, protected areas, elevation, etc.

(Abstract):  The main object of the SUNY task for SWERA
is to prepare high resolution global irradiance (GHI) and direct
irradiance (DNI) data sets for the countries of Cuba, El Salvador,
Guatemala, Honduras and Nicaragua.Much of our initial effort
focused on building up the satellite data tx_metadatatool, and in
strengthening and validating the models capable of converting that data
into ground surface irradiances. Three research articles, acknowledging
all or partial funding from UNEP & SWERA have been published on this
subject.

(Abstract):  This paper describes a methodology to
correct satellite-derived irradiances over complex terrain. The
correction applies to satellite models using visible images from
geostationary satellites.
(Purpose):  Solar model documentation

(Abstract):  We present a new simple model capable of
exploiting geostationary satellite visible images for the production of
site/time specific global and direct irradiances The new model features
new clear sky global and direct irradiance functions, a new
cloud-index-to-irradiance index function, a new
global-to-direct-irradiance conversion model. The model can also exploit
operationally available snow cover resource data, while deriving local
ground specular reflectance characteristics from the stream of incoming

(Abstract):  The wind climate of Ireland has been
calculated using the Karlsruhe Atmospheric Mesoscale Model KAMM using
the statistical-dynamical method. The large-scale climatology is
represented by 65 classes of geostropic wind. From the frequency of the
classes and the simulations the climatology of the surface wind is
determined. The simulated winds are processed similar to observed data
to obtain LIB-files for the Wind Atlas Analysis and Application Program
WAsP. Comparisons are made with mast observations which have been