Dear list members,

Here's my bit:

 Title: Development of combined seasonal weather and crop productivity
forecasting techniques.
 Name: Andrew Challinor, with Tim Wheeler, Julia Slingo, David Grimes.
 Institution: University of Reading depts of Met. and Agric.
 Current location: as above.
 Yrs experience in modeling: myself, 5 - 3 forested boundary layers, 2
crops.
 Keywords: Seasonal forecast models, spatial scale.
 Crops: Groundnut currently, more crops to follow.
 Models: in-house large area model.
 Applications: large-scale productivity forecasting
 Summary: Starting with met. data and measured yields, we have conducted
an analysis of appropriate spatial scales for the modelling of groundnut
in India, by examining the rainfall/yield relationship on various scales.
The in-house large area model is aimed at predictions on the scale
determined by 1) this analysis, and 2) considerations of the scale on
which seasonal forecasting operates. Hence the large-area model runs on
the subdivisional (~200-300km) scale, using weather and soils data at or
below that scale. At its core is a point-wise model of intermediate
complexity (less than DSSAT, for instance).

________________________________
Andrew Challinor,
CGAM,
Dept. of Meteorology,
University of Reading,
Reading RG66BB
U.K.

http://www.met.rdg.ac.uk/~ajc

Tel (44) (0)118 9875123 ext 4281
Fax (44) (0)118 9318316
--------------------------------

"We've all heard that a million monkeys banging on a million typewriters
will eventually reproduce the entire works of Shakespeare. Now, thanks
to the Internet, we know this is not true."
Robert Wilensky, 1996 (based on earlier wisdom from Blair Houghton 1988.)