Identification

Title

Characterizing Internal Variability and Detecting Changes in Model and Computational Parameters in a Century-Long CESM Ensemble

Abstract

Ensembles of climate model projections enable better quantifying intrinsic climate variability and the resulting uncertainty in projected climate. This work uses a 100-year ensemble of unforced simulations from the Community Earth System Model (CESM1) to quantify the impact of different hardware, software, and model parameter settings on the statistical properties of climate model output. The goal is to develop lightweight, computationally efficient methods of detecting statistically signiﬁcant differences in marginal distributions, stationarity, and autocorrelation with only annually and globally averaged climate model outputs. We present a series of methods and data visualization techniques for this purpose, and show that changes in model and computational parameters can be detected even with highly reduced model output. Results can inform the design of ensembles, and the tests developed can help users quickly identify distributional differences and benchmark their model simulations against other known ensembles.

Resource type

document

Resource locator

Unique resource identifier

code

http://n2t.net/ark:/85065/d7qz2fdt

codeSpace

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

Text

originating controlled vocabulary

title

Resource Type

reference date

date type

publication

effective date

2016-01-01T00:00:00Z

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2021-10-18T00:00:00Z

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Limitations on public access

None

Responsible organisations

Responsible party

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact