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Dean N. Williams

Researcher at Lawrence Livermore National Laboratory

Publications -  86
Citations -  3446

Dean N. Williams is an academic researcher from Lawrence Livermore National Laboratory. The author has contributed to research in topics: Earth System Grid & Climate model. The author has an hindex of 24, co-authored 86 publications receiving 2922 citations.

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An Overview of the Results of the Atmospheric Model Intercomparison Project (AMIP I)

TL;DR: The Atmospheric Model Intercomparison Project (AMIP), initiated in 1989 under the auspices of the World Climate Research Programme, undertook the systematic validation and diagnosis of the performance of atmospheric general circulation models.
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The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution

Jean-Christophe Golaz, +86 more
TL;DR: Energy Exascale Earth System Model (E3SM) project as mentioned in this paper is a project of the U.S. Department of Energy that aims to develop and validate the E3SM model.
Proceedings ArticleDOI

Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data

TL;DR: This article argues that combining multiple linked displays yields a clearer presentation of the data and facilitates a greater level of visual data analysis, and demonstrates the framework using driving problems from climate modeling and meteorology and discusses generalizations to other fields.
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The Earth System Grid: Supporting the Next Generation of Climate Modeling Research

TL;DR: The Earth System Grid (ESG) is a collaborative interdisciplinary project aimed at addressing the challenge of enabling management, discovery, access, and analysis of these critically important datasets in a distributed and heterogeneous computational environment.
Proceedings ArticleDOI

High-Performance Remote Access to Climate Simulation Data: A Challenge Problem for Data Grid Technologies

TL;DR: The Earth System Grid prototype is described, which brings together advanced analysis, replica management, data transfer, request management, and other technologies to support high-performance, interactive analysis of replicated data.