Thomas Maxwell
Goddard Space Flight Center
17 Papers
36 Citations
Thomas Maxwell is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Earth System Grid & Big data. The author has an hindex of 4, co-authored 16 publications.
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Papers
Toward a Monte Carlo approach to selecting climate variables in MaxEnt.
John L. Schnase,Mark L. Carroll,Roger Gill,Glenn S. Tamkin,Jian Li,S. Strong,Thomas Maxwell,Mary E. Aronne,Caleb S. Spradlin +8 more
TL;DR: In this paper, the authors demonstrate the feasibility of a Monte Carlo method that overcomes this limitation by finding a useful subset of predictors in a larger, externally-stored collection of environmental variables in a reasonable amount of time.
Designing a provenance-based climate data analysis application
Emanuele Santos,David Koop,Thomas Maxwell,Charles Doutriaux,Tommy Ellqvist,Gerald L. Potter,Juliana Freire,Dean N. Williams,Cláudio T. Silva +8 more
- 19 Jun 2012
TL;DR: UV-CDAT is described, a workflow-based, provenance-enabled system that integrates climate data analysis libraries and visualization tools in an end-to-end application, making it easier for scientists to integrate and use a wide array of tools.
•Journal Article
The Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT): Data Analysis and Visualization for Geoscience Data
Dean N. Williams,Charles Doutriaux,John Patchett,Sean Williams,Galen M. Shipman,Ross Miller,Chad A. Steed,Harinarayan Krishnan,Cláudio T. Silva,Aashish Chaudhary,Peer-Timo Bremer,David Pugmire,E. Wes Bethel,Hank Childs,Prabhat,Berk Geveci,Andrew Bauer,Alexander Pletzer,Jorge Poco,Tommy Ellqvist,Emanuele Santos,Gerald L. Potter,Brian E. Smith,Thomas Maxwell,David Kindig,David Koop +25 more
TL;DR: The UV-CDAT framework addresses many challenges in the interactive visual analysis of distributed large-scale data for the climate community through a provenance framework.
Exploratory Climate Data Visualization and Analysis Using DV3D and UVCDAT
Thomas Maxwell
- 10 Nov 2012
TL;DR: D3D is described, a UV-CDAT package that enables exploratory analysis of climate simulation and observation datasets and features workflow interfaces, interactive 4D data exploration, hyperwall and stereo visualization, automated provenance generation, and parallel task execution.
Scalable Aggregation Service for Satellite Remote Sensing Data
Jianwu Wang,Xin Huang,Jianyu Zheng,Chamara Rajapakshe,Savio Kay,Lakshmi Kandoor,Thomas Maxwell,Zhibo Zhang +7 more
- 02 Oct 2020
TL;DR: This paper proposes three different approaches of parallel data aggregation and employs three parallel platforms (Spark, Dask and MPI) to implement the approaches and runs extensive experiments based on these parallel approaches and platforms to benchmark their differences in execution performance.