Impact of Spatial Scales on the Intercomparison of Climate Scenarios

Journal Article · Sat Dec 31 23:00:00 EST 2016 · IEEE Computer Graphics and Applications

DOI:https://doi.org/10.1109/MCG.2017.3621222· OSTI ID:1406726

Luo, Wei; Steptoe, Michael; Chang, Zheng; Link, Robert; Clarke, Leon; Maciejewski, Ross

Scenario analysis has been widely applied in climate science to understand the impact of climate change on the future human environment, but intercomparison and similarity analysis of different climate scenarios based on multiple simulation runs remain challenging. Although spatial heterogeneity plays a key role in modeling climate and human systems, little research has been performed to understand the impact of spatial variations and scales on similarity analysis of climate scenarios. To address this issue, the authors developed a geovisual analytics framework that lets users perform similarity analysis of climate scenarios from the Global Change Assessment Model (GCAM) using a hierarchical clustering approach.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1406726
• Report Number(s): PNNL-SA-130120; KP1703030
• Journal Information: IEEE Computer Graphics and Applications, Journal Name: IEEE Computer Graphics and Applications Journal Issue: 5 Vol. 37; ISSN 0272-1716
• Publisher: IEEE
• Country of Publication: United States
• Language: English