PPT-“CMDV Software” ACME-SM: A Global Climate Model Software Modernization Surge

Author : telempsyc | Published Date : 2020-07-01

PI Computational Lead Andy Salinger SNL Deputy PI Climate Lead Peter Caldwell LLNL Site PIs Hui Wan PNNL Rob Jacob ANL Salil Mahajan ORNL

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“CMDV Software” ACME-SM: A Global Climate Model Software Modernization Surge: Transcript


PI Computational Lead Andy Salinger SNL Deputy PI Climate Lead Peter Caldwell LLNL Site PIs Hui Wan PNNL Rob Jacob ANL Salil Mahajan ORNL . Antipatterns. challenges: how to get rid of worms before contaminating the apple? . Catia. . Trubiani. Dipartimento di Ingegneria e Scienze dell'Informazione e Matematica (DISIM),. University of L’Aquila, Italy. Development. Methodologies. Damian Gordon. Timeline of Methodologies. 1950s . Code . & Fix. 1960s . Design-Code-Test-Maintain. 1970s . Waterfall . Model. 1980s . Spiral . Requirements. Construction. Design. Testing. Delivery and Installation. Operations and Maintenance. Concept Exploration. Prototype. Software Design. From . SWEBOK. 2004. V-Model. Spiral Model. Agile Methods. Paul H J Kelly. Group Leader, Software Performance Optimisation. Department of Computing. Imperial College London. Joint work with :. David Ham, Gerard Gorman, Florian . Rathgeber. (Imperial ESE/Grantham . The Development of Essential Practice. Richard B. Rood. University of Michigan. Wunderground.com. NOAA, ESRL, 29 February 2012. Deep Background. As a manager at NASA . I felt a responsibility to deliver a series of model products addressing a specific set of scientific capabilities, on time, on budget.. Authors: Gina Guillaume-Joseph, PhD Candidate. Dr. James Wasek. Dr. . Enrique Campos-Nanez, and. Dr. . Pavel . Fomin. The George Washington University. School of Engineering and Applied Sciences. Engineering Management and System Engineering Dept.. Workflow Group 2016 Overview and Highlights: Framework and Tools for Supporting Model Integrations and Analysis Group Leads: Dean N. Williams and Val Anantharaj Team Leads: Sasha Ames, Bibi Raju and. Potential Interactions with . the . ACME . Community. June 5, 2017. . RGCM program - Overview. Goal . is . to enhance . a . predictive . and process- and system-level understanding. of the . modes of variability and change. Dr. . Ita. . Richardson. 18. th. April, 2012. 2. Presentation Structure. My background. Global Software Development. Understanding the problems. Providing a solution: Global Teaming Model. Conclusion. Dr. . Ita. . Richardson. 18. th. April, 2012. 2. Presentation Structure. My background. Global Software Development. Understanding the problems. Providing a solution: Global Teaming Model. Conclusion. and . Changing Climate . on . Future . US . Hurricane Wind . and . Storm Surge Damages. Kerry Emanuel. Lorenz Center. Massachusetts Institute of Technology. Program. Assessing Hurricane Event Risk. Wind. Lecturer: . Sebastian . Coope. Ashton Building, Room G.18. E-mail: . coopes@liverpool.ac.uk . COMP 201 web-page:. http://www.csc.liv.ac.uk/~coopes/comp201. Lecture 9, 10 – Modelling Based on Petri Nets. - Who we are. - What we are trying to do. - . Summary of observational techniques. - . Summary of parameterization development. CMDV-CM. 4. Collaborators. David Romps Lead PI LBNL. Andrew . Vogelmann. Kerry . Emanuel and Sai Ravela. Massachusetts Institute of Technology. Risk Assessment Methods. Methods based on hurricane history. Numerical Simulations. Downscaling Approaches. Issues with Historically Based Risk Assessment.

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