6. One paragraph description of your model (e.g. abstract from report or
   paper);

   SLURP [Kite, 1996] is a continuous simulation distributed 
hydrological model in which the parameters are related to land cover 
(vegetation type). The most important parameters used in the model 
include interception coefficients, depression storage, surface 
roughness, infiltration coefficient,  groundwater conductivity and 
snowmelt rates.  The model can take into account changes in the 
distribution and type of land cover over time and is therefore 
suitable for climatic change impact studies [Kite, 1993].
   The SLURP model divides the watershed into hydrologically-consistent
sub-units known as aggregated simulation areas (ASA). An ASA is not a
homogeneous area but is a grouping of smaller areas with known
properties. For example, land cover may be measured from satellite for
pixels as small as 10-m; it would be impracticable for a hydrological
model to operate at such a dimension for a macro-scale basin. Instead,
the pixels are aggregated into areas which are more convenient for
modeling. The number of ASAs used in modeling a watershed will depend on
the size of the watershed and the scales of data available.
   At each time increment, the model is applied sequentially to each
element of the matrix of ASAs and land covers. Each element of the
matrix is simulated by four nonlinear reservoirs representing canopy
interception, snowpack, rapid runoff (may be considered as a combined
surface storage and top soil layer storage) and slow runoff (may be
considered as groundwater). The model routes precipitation through the
appropriate processes and generates outputs (evaporation, transpiration
and runoff) and changes in storage (canopy interception, snowpack and
soil moisture). Runoffs are accumulated from each land cover within an
ASA using a time/contributing area relationship for each land cover and
the combined runoff is converted to streamflow and routed between each
ASA.

50. Please provide references relevant to the model description and use.


Kite, G.W., 1995: The SLURP model. Chapter 15 in: Computer models of
watershed hydrology by V.P. Singh (ed.), Water Resources Publications,
Colorado, USA, 521-562.


Kite, G.W., 1994: Hydrological modelling using remotely sensed 
data and geographic information systems. In: Trends in Hydrology by 
J. Menon (ed.), 191-208, CSRI, Trivandrum, India.

Kite, G.W., A. Pietroniro and T.J. Pultz, 1995. Remote Sensing in
Hydrology, Proceedings of NHRI Symposium No. 14, NHRI, Saskatoon, 322pp.

Kite G.W, 1995: Scaling of input data for macroscale hydrologic
modeling. Water Resources Research, 31,11,2769-2781.

Kite, G.W. and A. Pietroniro, 1996. Remote sensing applications in
hydrological modelling, Hydrol. Sci. J. 41(4), 563-591.

Kite, G.W., 1996. Use of remotely sensed data in hydrological modelling
of the Upper Columbia Watershed, Can. J. Rem. Sens., 22,1, 14-23.

Kite G.W, A. Dalton & K. Dion, 1994: Simulation of streamflow in
macro-scale watersheds using GCM data. Water Resources Research, 30, 5,
1547-1559.

Kite, G.W., A. Pietroniro and T.J. Pultz, 1997. Remote Sensing in
Hydrology, Proceedings of NHRI Symposium No. 17, Goddard Space Flight
Center, 1996, NHRI, Saskatoon, 350pp.

Geoff Kite
National Hydrology Research Institute
11 Innovation Blvd
Saskatoon
Saskatchewan
Canada S7N 3H5

phone (306) 975-5687
fax (306) 975-5143
geoff.kite@ec.gc.ca