Extreme precipitation and its dependence on climatic variables has received significant attention over the last few
years. Currently, one of the least understood aspects of precipitation extremes is how sub-daily accumulations
depend on surface temperature. Observations from a number of groups indicate that precipitation extremes for
accumulations of 10 minutes or less are correlated with temperature; however, it is uncertain whether models
also reproduce this feature. We investigate this question by studying idealized simulations of the atmosphere
as a function of sea surface temperature. The simulations employ a wind only forcing with periodic boundary
conditions and are run to an equilibrium climate over an ocean. The atmospheric code used is the Weather
Research and Forecasting model, configured at cloud resolving resolutions of 400m and a coarser 4km. We discuss
how the observed distribution of sub-daily precipitation depends on sea surface temperature, and particularly how
extremes change as a function of temperature. We show that extreme accumulations of 1 minute are more sensitive
to temperature than hourly or daily accumulations. We also highlight self-aggregation in these idealized systems,
and show how this influences the observed precipitation distributions.
This page is maintaind by Jason Evans |
Last updated 31st January 2013