6.
 The snow melt/accumulation model is based on a modified
degree-day method and provides  the equivalent amount of
melted/accumulated  water  for  each   gridcell  of  the
catchments  considered.   The  method  developed  allows
modelling  of the  melt/accumulation processes  directly
without requiring information about  observed snow cover
distribution in the area.   Measured daily precipitation
was converted  to equivalent rainfall using  minimum and
maximum daily  temperature and modelled  equivalent snow
depth (in mm  of water), accumulated in  each particular
gridcell  for each  day.   River's  runoff was  modelled
using as an  input the equivalent rainfall  estimated by
the  snow melt/accumulation  module and  the mean  daily
temperature in  each gridcell integrated over  the whole
catchment.  The modelled snow depth  and duration of the
snow  season were  compared with  point measurements  of
snow  depth at  several stations. The modelled   and 
measured streamflow data were compared as well. These  
charachteristics  are used as a criterion of model quality.

50.

     Schreider, S.Yu., Jakeman, A.J., Whetton, P.H., Pittock,
A.B. Estimation of Climate Impact on Water Availability and
Extreme Events for Snow-Free and Snow-Affected Catchments of
the Murray-Darling Basin, 1997, Australian Journal of Water
Resources (in press, first number of 1997).

     Schreider, S.Yu., Whetton, P.H., Jakeman, A.J., Pittock,
A.B. and Li, J. Runoff Modelling for Snow-Affected Catchments
in the Australian Alpine Region, Eastern Victoria, 1997,
Journal of Hydrology (in press), also in CRES Working Paper,
ANU, Canberra, 1996/5, 26 pp.

     Schreider, S.Yu., Jakeman, A.J, Whetton, P.H. and
Pittock, A.B. Comparative Analysis of Climate Impacts on
Streamflow for Snow-Free and Snow-Affected Catchments, in:
Climate Impacts Assessment Workshop Abstracts: Development and
Application of Climate Change Scenarios, Hennessy, K.J. and
Pittock, A.B. (eds.), 1996, CSIRO Division of Atmospheric
Research / Commonwealth Department of Environment, Sport and
Territories, Melbourne, pp. 84-88.

     Schreider, S.Yu., Jakeman, A.J., Dyer, B.G. and Francis,
R.I. A Streamflow Forecasting Algorithm Combining of
Deterministic and Self-Adaptive Stochastic Approaches (the
Upper Murray Basin Case Study), 1997, EnviroSoft (in press).

Unfortunately at the moment only the CRES preprint contains the 
model description, but JoH and AJWR papers are going to be published 
very  soon (I recently checked proofreads).


Thank you very much for the intersts to our work.

Sincerely yours,

Sergei Schreider.