Land Ice validation and verification toolkit (LIVVkit): verification.
This publication outlines a new community tool to perform robust verification and validation of ice sheet models, both for stand-alone models and models coupled to an Earth system model.
LIVVkit is the first verification and validation testing suite developed for ice sheet models that covers all four aspects of V&V--numerical verification, software verification, performance validation, and physical validation--and has a design focused on both building confidence in and enhancing the credibility of ice sheet models.
Robust verification and validation is critically important for Earth science models, especially ice sheet models, because they are being heavily developed as standalone models and are being coupled to Earth system models. LIVVkit has been designed to provide a framework to test and evaluate them on many platforms; from laptops to HPCs, and is intended to help developers build confidence in their models and enhance the credibility of ice sheet models overall. It is shown in this publication that it is easily extensible by developers to new methods of analysis, models, and observations. LIVVkit 2.0.0 as presented was released Aug. 2016 under an open source license at: https://github.com/LIVVkit/LIVVkit.
Contacts (BER PM)
Earth System Modeling Program
Oak Ridge National Laboratory
The U.S. Department of Energy Office of Science, Biological and Environmental Research supported this research as part of the Predicting Ice Sheet and Climate Evolution at Extreme Scales (PISCEES) project of the Earth System Modeling (ESM) program.
Kennedy, J.H., A.R. Bennett, K.J. Evans, S. Price, M. Hoffman, W.H. Lipscomb, J. Fyke, L. Vargo, A. Boghozian, M. Norman, and P.H. Worley. "LIVVkit: An extensible, python-based, land ice verification and validation toolkit for ice sheet models." J.Adv. Model. Earth Syst. 9(2),854-869 (2017). [DOI:10.1002/2017MS000916]
BER Highlight: LIVVkit: An extensible, python-based, land ice verification and validation toolkit for ice sheet models
SC-23.1 Climate and Environmental Sciences Division, BER
BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER
Aug 24, 2019
New Approach for Studying How Microbes Influence Their Environment
A diverse group of scientists suggests a common framework and targeting of known microbial processes [more...]
Aug 08, 2019
Nutrient-Hungry Peatland Microbes Reduce Carbon Loss Under Warmer Conditions
Enzyme production in peatlands reduces carbon lost to respiration under future high temperatures. [more...]
Aug 05, 2019
Amazon Forest Response to CO2 Fertilization Dependent on Plant Phosphorus Acquisition
AmazonFACE Model Intercomparison. The Science Plant growth is dependent on the availabi [more...]
Jul 29, 2019
A Slippery Slope: Soil Carbon Destabilization
Carbon gain or loss depends on the balance between competing biological, chemical, and physical reac [more...]
Jul 15, 2019
Field Evaluation of Gas Analyzers for Measuring Ecosystem Fluxes
How gas analyzer type and correction method impact measured fluxes. The Science A side- [more...]
List all highlights (possible long download time)