Re. Basher et Xg. Zheng, MAPPING RAINFALL FIELDS AND THEIR ENSO VARIATION IN DATA-SPARSE TROPICAL SOUTH-WEST PACIFIC-OCEAN REGION, International journal of climatology, 18(3), 1998, pp. 237-251
Rainfall fields for the data-sparse tropical south-west Pacific Ocean
region have been mapped by partial thin-plate smoothing spline surface
modelling applied to island rainfall measurements, enhanced by the us
e of satellite observations of outgoing longwave radiation (OLR) as a
regression covariate. The aim is to obtain spatially realistic rainfal
l maps, especially in the data-sparse areas between island groups, thr
ough a fully objective and statistically valid method that includes er
ror estimates. The method has been applied to the region 4 degrees N-2
4 degrees S, 168 degrees E-154 degrees W. The ainfall dat a set initia
lly comprised 57 stations, most with 40 year records. As a first step,
a regression of annual OLR find rainfall for atolls only was formed a
nd used to eliminate 'outlier' rainfall stations, all of which are on,
mountainous islands and. thus are probably influenced orographically.
The maps clearly show the spatial patterns and seasonal behaviour of
the region's key meteorological features, namely, the South Pacific Co
nvergence Zone (SPCZ), the southern edge of the Inter-tropical Converg
ence Zone (ITCZ), and the wedge shaped region of divergent easterlies
lying between them. To identify ENSO variations, maps of 3-month seaso
nal rainfall were constructed from composites of eight El Nino (negati
ve SOI) episodes and nine La Nina (positive SOI) episodes. These maps
are relatively rough in appearance, but nevertheless they show the evo
lution of the spatial patterns through each composite episode and the
strong and symmetrically opposite differences between them. Marked var
iations in the strength and position of the SPCZ are evident and the i
sohyets in the equatorial dry zone-exhibit east-west shifts of nearly
3000 km relative to the average field. The rainfall variation at a par
ticular location may be understood in terms of competition of influenc
e among the changing features of the pattern, rather than as a simple
linear function of the SOI. (C) 1998 Royal Meteorological Society.