André Tremblay
One year of precipitation records taken from a subset of the WMO global
rain gauges network has been analyzed. This analysis has shown that the
distribution of accumulation of precipitation with rainfall rate is
strongly characterized by an inverse exponential law. This relatiohship
seems to be universal and is present regardless the averaging interval
considered. The data structure suggests that it can be used as a basic
state to partition surface precipitation in stratiform and convective
components. Physical basis of this aproach is investigated and discussed
using Monte Carlo simulations based on a simple cloud model. The
methodology is validated from a Fourier analysis in time, and average
global monthly maps of convective and stratiform precipitation are
presented to illustrate the feasibility of the technique.
NB - la technique a aussi ete utilisee avec donnees TRMM (3hr, 1/4 deg) -
Des cartes mensuelles des precipitations stratiforme/convective seront
presentees en dernier lieu.
Ref: http://precip.gsfc.nasa.gov/rain_pages/3hrly.html