Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
The Monte Carlo Independent Column Approximation’s...
Journal article

The Monte Carlo Independent Column Approximation’s Conditional Random Noise: Impact on Simulated Climate

Abstract

Abstract The Monte Carlo Independent Column Approximation (McICA) method for computing domain-average radiative fluxes is unbiased with respect to the full ICA, but its flux estimates contain conditional random noise. Results for five experiments are used to assess the impact of McICA-related noise on simulations of global climate made by the NCAR Community Atmosphere Model (CAM). The experiment with the least noise (an order …

Authors

Räisänen P; Barker HW; Cole JNS

Journal

Journal of Climate, Vol. 18, No. 22, pp. 4715–4730

Publisher

American Meteorological Society

Publication Date

November 15, 2005

DOI

10.1175/jcli3556.1

ISSN

0894-8755