Description

To evaluate parameterizations in models, simulations have often been performed with only one change to one parameterization at a time. This is highly inefficient and can be both time-consuming and computationally costly. This data represents ensembles using a Perturbed Parameter Ensemble (PPE) technique, where multiple parameters are varied simultaneously and the parameter values are determined with Latin Hypercube sampling. The simulations vary 43 parameters in the microphysics, convective, turbulence and aerosol schemes with 263 ensembles.

The parameter values are located in the PPE Parameter File.

Three sets of cases are simulated; Present day climate (PD), pre-industrial aerosol loading (PI) and +4K sea surface temperature (SST4K). Each set is run for 3 years.

Atmosphere files are represented as time series in the CESM2.2-CAM6 PPE xx Time Series link, with each individual variable concatenated into one separate file. Most output variables are monthly averages (CESM2.2-CAM6 PPE xx Time Series Monthly Averages) while there are a few variables also outputted as daily averages in (CESM2.2-CAM6 PPE xx Time Series Daily Averages).


Monthly average land surface data are found in the CESM2.2-CAM6 PPE xx Raw Land link.

DOI

https://doi.org/10.26024/bzne-yf09

Authors

Trude Eidhammer
Andrew Gettelman
Katherine Thayer-Calder

Resource Support Contacts

DiscussCESMForums (http://bb.cgd.ucar.edu)
UCAR/NCAR - Climate and Global Dynamics Laboratory
esg-support@earthsystemgrid.org

Related Activities

Project - CESM

Child Datasets