final_program_abstracts[1]

11 IMSC Session Program
A new algorithm for blending satellite precipitation estimates
with in-situ precipitation measurements over Canada
Monday - Parallel Session 4
Achan Lin and Xiaolan L. Wang
Climate Research Division, Science and Technology Branch, Environment Canada,
Canada
This study proposes a new algorithm for blending satellite precipitation estimates with
in-situ gauge precipitation measurements over Canada, which is to be used to produce
a blended monthly total precipitation dataset for Canada with a 50 km resolution on
an oblique stereographic projection (CanGrid). The input satellite data used in this
study include SSMI GPROF and SSMI UMORA (from 1987 to present), TVOS (from
1979 to 2002) and AIRS (from 2003 to present). The field of satellite precipitation
estimates was adjusted against the field of gauge data based on the moving averages
of both satellite field and gauge field before being used on the blending analysis. The
blending (merging) technique is a combination of ordinary kriging and statistical
interpolation with gauge data as observation field and multiple satellite precipitation
estimates as the background field. A preliminary assessment of the performance of
this algorithm is presented in this study.
Abstracts 64